| 1 | | Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders | | 0 | | Chenxiao Yang, Guihai Chen, Qitian Wu, Shuodian Yu, Xiaofeng Gao | |
| 2 | | Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback | | 0 | | Chenyan Xiong, HongChien Yu, Jamie Callan | |
| 3 | | Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer | | 0 | | Jiawei Zhang, Lei Zheng, Philip S. Yu, Yun Xiong, Zhiwei Liu, Ziwei Fan | |
| 4 | | Query Embedding Pruning for Dense Retrieval | | 0 | | Craig Macdonald, Nicola Tonellotto | |
| 5 | | SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search | | 0 | | Bo Zheng, Di Zhang, Liang Wang, Shiyang Wen, Yan Zhang, Yiran Chen, Zhi Yang | |
| 6 | | SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios | | 0 | | Hong Wen, Jing Zhang, Qijie Shen, Quan Lu, Wanjie Tao, Zulong Chen | |
| 7 | | Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation | | 0 | | Chuan Zhou, Donghui Ding, Haishuai Wang, Jiajun Bu, Peng Zhang, Xuanwu Liu, Zehong Hu, Zhao Li | |
| 8 | | Seasonal Relevance in E-Commerce Search | | 0 | | Dan Bu, Dongmei Jia, Haode Yang, Parth Gupta, Roberto Fernández Galán | |
| 9 | | Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation | | 0 | | Chunyang Wang, Haobing Liu, Jiadi Yu, Tianzi Zang, Wenze Ma, Yanmin Zhu | |
| 10 | | Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation | | 0 | | Gang Wang, Jianyong Wang, Junchi Yan, Wei Zhang, Zeyuan Chen | |
| 11 | | Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising | | 0 | | Haizhi Yang, Han Yu, Hengjie Song, Qianyu Li, Siyu Jiang, Tengyun Wang, Xiaoli Tang, Yueyue Shi | |
| 12 | | USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence | | 0 | | JiRong Wen, Jing Yao, Ruobing Xie, Yanxiong Lu, Zhicheng Dou, Zhiping Wang | |
| 13 | | Dual Correction Strategy for Ranking Distillation in Top-N Recommender System | | 0 | | KeeEung Kim, Youngjune Lee | |
| 14 | | Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce | | 0 | | Baoliang Cui, Biyu Ma, Dan Ou, Haikuan Huang, Qingwen Liu, Wentian Bao, Xiang Li, Xiaoyi Zeng, Yulong Gu | |
| 15 | | Incorporating Query Reformulating Behavior into Web Search Evaluation | | 0 | | Fan Zhang, Jia Chen, Jiaxin Mao, Min Zhang, Shaoping Ma, Tetsuya Sakai, Weizhi Ma, Yiqun Liu | |
| 16 | | Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems | | 0 | | Gerard de Melo, Shijie Geng, Yikun Xian, Yongfeng Zhang, Zuohui Fu | |
| 17 | | Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations | | 0 | | Chong Wang, Hui Yang, Jiankai Sun, Kai Jia, Ruofan Ding, Weihao Gao, Wenzhi Xiao, Xiangjun Fan, Xiaobing Liu, Xingyan Bin | |
| 18 | | Two-tier Graph Contextual Embedding for Cross-device User Matching | | 0 | | Chen Li, Hongren Huang, Jianxin Li, Jiawei Sheng, Jing Liu, Lihong Wang, Shenghai Zhong, Shu Guo | |
| 19 | | Learning Implicit User Profile for Personalized Retrieval-Based Chatbot | | 0 | | Hongjin Qian, JiRong Wen, Yueyuan Ma, Yutao Zhu, Zhicheng Dou | |
| 20 | | Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance | | 0 | | Jiafeng Guo, Jiaxin Mao, Jingtao Zhan, Min Zhang, Shaoping Ma, Yiqun Liu | |
| 21 | | PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling | | 0 | | JiRong Wen, Yujia Zhou, Yutao Zhu, Zhicheng Dou | |
| 22 | | AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation | | 0 | | Bo Zheng, Kuangchih Lee, Penghui Wei, Shaoguo Liu, Weimin Zhang, Zixuan Xu | |
| 23 | | Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation | | 0 | | Di Niu, Haolan Chen, Kunxun Qi, Ning Jing, Qikai Lu, Ruoxu Wang, Xuejiao Wang | |
| 24 | | One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction | | 0 | | Binding Dai, Chi Zhang, Guorui Zhou, Hongbo Deng, Jingshan Lv, Liqin Zhao, Qiang Luo, Siran Yang, XiangRong Sheng, Xiaoqiang Zhu, Xinyao Ding | |
| 25 | | Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising | | 0 | | Jiacheng Guo, Lian Zhao, Lin Liu, Mingming Sun, Peng Yang, Ping Li, Shaopeng Chen, Xin Wang | |
| 26 | | CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation | | 0 | | Bin Cui, Bolin Ding, Cihang Liu, Fei Sun, Jiawei Chen, Jinyang Gao, Shiwen Wu, Xu Xie, Zhaoyang Liu | |
| 27 | | Cascaded Deep Neural Ranking Models in LinkedIn People Search | | 0 | | Abhimanyu Lad, Song Yan, Weiwei Guo, Xiaowei Liu, Zimeng Yang | |
| 28 | | Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation | | 0 | | Amin Bigdeli, Ebrahim Bagheri, Morteza Zihayat, Negar Arabzadeh, Shirin Seyedsalehi | |
| 29 | | Analysing Mixed Initiatives and Search Strategies during Conversational Search | | 0 | | Evangelos Kanoulas, Hamed Zamani, Leif Azzopardi, Mohammad Aliannejadi, Nick Craswell, Paul Thomas | |
| 30 | | Query Definability and Its Approximations in Ontology-based Data Management | | 0 | | Federico Croce, Gianluca Cima, Maurizio Lenzerini | |
| 31 | | Click-Through Rate Prediction with Multi-Modal Hypergraphs | | 0 | | Dingxian Wang, Guandong Xu, Hongxu Chen, Li He, Philip S. Yu, Shoaib Jameel | |
| 32 | | Lightweight Self-Attentive Sequential Recommendation | | 0 | | Hongzhi Yin, PengFei Zhang, Tong Chen, Yang Li | |
| 33 | | Extracting Attentive Social Temporal Excitation for Sequential Recommendation | | 0 | | Bo Chen, Dong Wang, Ruiming Tang, Xin Xin, Yue Ding, Yule Wang, Yunzhe Li, Yuxiang Shi | |
| 34 | | Hyperbolic Hypergraphs for Sequential Recommendation | | 0 | | Guandong Xu, Hongxu Chen, Lin Li, Lizhen Cui, Philip S. Yu, Xiangguo Sun, Yicong Li, Zhenchao Sun | |
| 35 | | POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling | | 0 | | Jiaxin Mao, Ke Zhou, Max L. Wilson, Zeyang Liu | |
| 36 | | Agenda: Robust Personalized PageRanks in Evolving Graphs | | 0 | | Dingheng Mo, Siqiang Luo | |
| 37 | | Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching | | 0 | | Liang Pang, Xueqi Cheng, Yanyan Lan | |
| 38 | | AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction | | 0 | | Wenwu Zhu, Xin Wang, Zhikun Wei | |
| 39 | | SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL | | 0 | | Agnieszka Lawrynowicz, Dawid Wisniewski, Jedrzej Potoniec | |
| 40 | | Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images | | 0 | | Lin Li, Ling Liu, Luo Zhong, Zhongwei Xie | |
| 41 | | Open Benchmarking for Click-Through Rate Prediction | | 0 | | Jieming Zhu, Jinyang Liu, Qi Zhang, Shuai Yang, Xiuqiang He | |
| 42 | | XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering | | 0 | | Bo Yang, Faisal M. Almutairi, Nicholas D. Sidiropoulos | |
| 43 | | Spectral Graph Attention Network with Fast Eigen-approximation | | 0 | | Heng Chang, Junzhou Huang, Somayeh Sojoudi, Tingyang Xu, Wenbing Huang, Wenwu Zhu, Yu Rong | |
| 44 | | New Tight Relaxations of Rank Minimization for Multi-Task Learning | | 0 | | Feiping Nie, Rong Wang, Wei Chang, Xuelong Li | |
| 45 | | Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation | | 0 | | Lei Zheng, Philip S. Yu, Shen Wang, Zhiwei Liu, Ziwei Fan | |
| 46 | | Locker: Locally Constrained Self-Attentive Sequential Recommendation | | 0 | | Ajinkya Kale, Handong Zhao, Julian J. McAuley, Zhankui He, Zhaowen Wang, Zhe Lin | |
| 47 | | Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation | | 0 | | Chuanqi Han, Li Cui, Ruoran Huang | |
| 48 | | Query-driven Segment Selection for Ranking Long Documents | | 0 | | Hamed R. Bonab, James Allan, Razieh Rahimi, Youngwoo Kim | |
| 49 | | On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval | | 0 | | Craig Macdonald, Nicola Tonellotto | |
| 50 | | Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search | | 0 | | Maciej Rybinski, Sarvnaz Karimi | |
| 51 | | Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction | | 0 | | Feng Yu, Qiang Liu, Shu Wu, Yanqiao Zhu, Yichen Xu | |
| 52 | | Understanding Job Seeker Funnel for Search and Discovery Personalization | | 0 | | Ashvini Jindal, Mohit Wadhwa, Nagaraj Kota, Venkatesh Duppada | |
| 53 | | Sequential Search with Off-Policy Reinforcement Learning | | 0 | | Bo Long, Dadong Miao, Guoyu Tang, Lin Liu, Lingfei Wu, Sulong Xu, Yanan Wang, Yun Xiao, Yunjiang Jiang | |
| 54 | | CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking | | 0 | | Chengming Li, Jieke Li, Min Yang | |
| 55 | | From Community Search to Community Understanding: A Multimodal Community Query Engine | | 0 | | Bingsheng He, Peng Zhang, Pengcheng Zou, Shichang Hu, Xia Chen, Xing Tang, Yuchen Li, Yumou Zhang, Zhao Li | |
| 56 | | CauSeR: Causal Session-based Recommendations for Handling Popularity Bias | | 0 | | Ankit Sharma, Gautam Shroff, Lovekesh Vig, Pankaj Malhotra, Priyanka Gupta | |
| 57 | | Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation | | 0 | | Bo Chen, Chenghua Lin, Dong Wang, Hongtao Lu, Jie Li, Ruiming Tang, Yue Ding, Yuxiang Shi | |
| 58 | | Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems | | 0 | | Chuanjiang Luo, Hongxiang Chen, Philip J. Feng, Pingjun Pan, Tingting Zhou | |
| 59 | | Clustering of Conversational Bandits for User Preference Learning and Elicitation | | 0 | | Canzhe Zhao, Jingyang Li, Junda Wu, Shuai Li, Tong Yu | |
| 60 | | Top-N Recommendation with Counterfactual User Preference Simulation | | 0 | | Jun Wang, Mengyue Yang, Quanyu Dai, Xiuqiang He, Xu Chen, Zhenhua Dong | |
| 61 | | Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking | | 0 | | Hao Jiang, JianYun Nie, Pan Du, Xiaochen Zuo, Xinyu Zhang, Yutao Zhu, Zhengyi Ma, Zhicheng Dou | |
| 62 | | Variational Cross-Network Embedding for Anonymized User Identity Linkage | | 0 | | Jingping Bi, Xiaokai Chu, Xinxin Fan, Zhihua Zhu | |
| 63 | | Exploratory Search of GANs with Contextual Bandits | | 0 | | Alan Medlar, Dorota Glowacka, Ivan Kropotov | |
| 64 | | Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search | | 0 | | Bo Zhang, Jia Cheng, Jun Lei, Ke Hu, Yi Qi | |
| 65 | | Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network | | 0 | | Manjira Sinha, Tirthankar Dasgupta | |
| 66 | | Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation | | 0 | | Cunxiang Yin, JiRong Wen, Jing Cai, Kun Zhou, Shuqing Bian, Wayne Xin Zhao, Yancheng He | |
| 67 | | Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching | | 0 | | Bin Ma, Bo Zheng, Jian Xu, Quan Liu, Zongtao Liu | |
| 68 | | TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity | | 0 | | Changwei Hu, Kevin Yen, Manisha Verma, Maxim Sviridenko, Shaunak Mishra, Yifan Hu | |
| 69 | | Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation | | 0 | | Feng Xia, Leyu Lin, Rui Wang, Ruobing Xie, Shaoliang Zhang | |
| 70 | | Self-supervised Learning for Large-scale Item Recommendations | | 0 | | Aditya Krishna Menon, Derek Zhiyuan Cheng, Ed H. Chi, Evan Ettinger, Felix X. Yu, Jieqi (Jay) Kang, Lichan Hong, Steve Tjoa, Tiansheng Yao, Ting Chen, Xinyang Yi | |
| 71 | | Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search | | 0 | | Lakshmi Narayanan Ramasamy, Qingyao Ai | |
| 72 | | Cross-Market Product Recommendation | | 0 | | Ali Vardasbi, Evangelos Kanoulas, Hamed R. Bonab, James Allan, Mohammad Aliannejadi | |
| 73 | | Generative Inverse Deep Reinforcement Learning for Online Recommendation | | 0 | | Aixin Sun, Liming Zhu, Lina Yao, Xianzhi Wang, Xiaocong Chen, Xiwei Xu | |
| 74 | | Evaluating Relevance Judgments with Pairwise Discriminative Power | | 0 | | Fan Zhang, Jiaxin Mao, Min Zhang, Shaoping Ma, Tetsuya Sakai, Yiqun Liu, Zhumin Chu | |
| 75 | | CANN: Coupled Approximation Neural Network for Partial Domain Adaptation | | 0 | | Chaoliang Zhong, Cheng Feng, Jie Wang, Jun Sun, Yasuto Yokota | |
| 76 | | CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation | | 0 | | Chen Chen, Dong Li, Jianye Hao, Jun Wang, Mengchen Zhao, Xidong Feng | |
| 77 | | Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources | | 0 | | Daniel Glake, Daniel Osterholz, Florian Ocker, Nima AhmadyMoghaddam, Norbert Ritter, Thomas Clemen, Ulfia Lenfers | |
| 78 | | Learning Multiple Intent Representations for Search Queries | | 0 | | Hamed Zamani, Helia Hashemi, W. Bruce Croft | |
| 79 | | Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation | | 0 | | Bingqing Han, Hongxia Yang, Luo Ji, Qi Qin | |
| 80 | | Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding | | 0 | | Chenxin Li, Junzhou Huang, Tingyang Xu, Xinghao Ding, Yu Rong, Yue Huang, Yunlong Zhang, Zhehan Liang | |
| 81 | | Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness | | 0 | | Man Lan, Wenting Wang, Xin Mao, Yuanbin Wu | |
| 82 | | Learning Ideological Embeddings from Information Cascades | | 0 | | Corrado Monti, Francesco Bonchi, Giuseppe Manco, Çigdem Aslay | |
| 83 | | Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids | | 0 | | Dagmar Beyer, Houssem Sellami, Marcel Hildebrandt, Martin Ringsquandl, Mitchell Joblin, Sebastian Weber, Sylwia Henselmeyer | |
| 84 | | CBML: A Cluster-based Meta-learning Model for Session-based Recommendation | | 0 | | Chengfei Liu, Jiajie Xu, Jianxin Li, Jiayu Song, Lu Chen, Rui Zhou | |
| 85 | | Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation | | 0 | | Daixin Wang, Jun Zhou, Ke Tu, Peng Cui, Wenwu Zhu, Yuan Qi, Zhiqiang Zhang | |
| 86 | | Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank | | 0 | | Ali Vardasbi, Ilya Markov, Maarten de Rijke | |
| 87 | | Popularity-Enhanced News Recommendation with Multi-View Interest Representation | | 0 | | Jingkun Wang, Wen Zhao, Yipu Chen, Zichun Wang | |
| 88 | | Self-Supervised Graph Co-Training for Session-based Recommendation | | 0 | | Hongzhi Yin, Junliang Yu, Lizhen Cui, Xin Xia, Yingxia Shao | |
| 89 | | Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks | | 0 | | Huan Zhao, Vincent W. Zheng, Wenyi Xiao, Yangqiu Song | |
| 90 | | Expanding Relationship for Cross Domain Recommendation | | 0 | | Kun Xu, Liang Chen, Yuanzhen Xie, Zibin Zheng | |
| 91 | | Misbeliefs and Biases in Health-Related Searches | | 0 | | Alexander Bondarenko, Ekaterina Shirshakova, Marina Driker, Matthias Hagen, Pavel Braslavski | |
| 92 | | ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation | | 0 | | Chenrui Zhang, Jinpeng Wang, Mingchen Cai, Qiang Cui, Yafeng Zhang | |
| 93 | | Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations | | 0 | | Adrià de Gispert, Gianni Barlacchi, Marco Del Tredici, Weiwei Cheng, Xiaoyu Shen | |
| 94 | | Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search | | 0 | | Dongmei Zhang, Ensheng Shi, Lun Du, Shi Han, Xiaozhou Shi, Yanlin Wang | |
| 95 | | CoSEM: Contextual and Semantic Embedding for App Usage Prediction | | 0 | | Flora D. Salim, Mohammad Saiedur Rahaman, Ryen W. White, Yonchanok Khaokaew | |
| 96 | | Vandalism Detection in OpenStreetMap via User Embeddings | | 0 | | T. Jennings Anderson, Yinxiao Li, Yiqi Niu | |
| 97 | | Learning Sparse Binary Code for Maximum Inner Product Search | | 0 | | Changyi Ma, Fangchen Yu, Wenye Li, Yueyao Yu | |
| 98 | | DeepGroup: Group Recommendation with Implicit Feedback | | 0 | | Amirali SalehiAbari, Sarina Sajadi Ghaemmaghami | |
| 99 | | Locate Who You Are: Matching Geo-location to Text for User Identity Linkage | | 0 | | Hao Gao, Huawei Shen, Jiangli Shao, Xueqi Cheng, Yangyang Li, Yongqing Wang | |
| 100 | | Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT | | 0 | | Dehong Gao, Fuzhen Zhuang, Qing He, Runchuan Wang, Yi Wei, Zhao Zhang | |
| 101 | | Low-dimensional Alignment for Cross-Domain Recommendation | | 0 | | Daixin Wang, Fuzhen Zhuang, Jun Zhou, Qing He, Tianxin Wang, Zhiqiang Zhang | |
| 102 | | Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems | | 0 | | Mark Coates, Yingxue Zhang, Yuening Wang | |
| 103 | | DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN | | 0 | | Lichao Sun, Philip S. Yu, Yu Wang, Zhiwei Liu, Ziwei Fan | |
| 104 | | SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation | | 0 | | Enhong Chen, Hao Qian, Jianhui Ma, Jun Zhou, Kai Zhang, Qi Liu, Zhiqiang Zhang | |
| 105 | | Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising | | 0 | | Alex Shtoff, Naama Krasne, Oren Somekh, Yohay Kaplan | |
| 106 | | Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval | | 0 | | Lin Wang, Peiyang Liu, Shikun Zhang, Wei Ye, Xi Wang, Xiangyu Xi | |
| 107 | | Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations | | 0 | | Rishabh Mehrotra | |
| 108 | | QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction | | 0 | | Bing Yin, Chen Luo, Danqing Zhang, Hanqing Lu, Qiang Yang, Tianyu Cao, Tony Wu, Tuo Zhao, Yiwei Song, Zheng Li | |
| 109 | | Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem | | 0 | | Jia Zeng, Mingxuan Yuan, Qianwen Zhu, Xialiang Tong, Xihan Li, Zhixing Luo, Zihan Zhang | |
| 110 | | ULTRA: An Unbiased Learning To Rank Algorithm Toolbox | | 0 | | Anh Tran, Qingyao Ai, Tao Yang | |
| 111 | | SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints | | 0 | | Maria Krommyda, Verena Kantere | |
| 112 | | RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19 | | 0 | | Arjumand Younus, Brendan Leen, Bruno Ohana, Muhammad Atif Qureshi, Nicole Baker, Rishi Choudhary, Wei Li | |
| 113 | | PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System | | 0 | | Jiaoyan Chen, Xi Chen, Yefeng Zheng, Zhiyuan Qi, Ziheng Zhang | |
| 114 | | AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce | | 0 | | FengLin Li, Fu Sun, Guohai Xu, Hehong Chen, Ji Zhang, Wei Zhou, Yunzhou Shi, Zhixiong Zeng, Zhongzhou Zhao | |
| 115 | | CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems | | 0 | | Yingqiang Ge, Yongfeng Zhang, Yunqi Li | |
| 116 | | The Primacy of Data in Deep Learning NLP for Conversational AI | | 0 | | Mark Johnson | |
| 117 | | FedMatch: Federated Learning Over Heterogeneous Question Answering Data | | 0 | | Jiafeng Guo, Jiangui Chen, Ruqing Zhang, Xueqi Cheng, Yixing Fan | |
| 118 | | LT-OCF: Learnable-Time ODE-based Collaborative Filtering | | 0 | | Jeongwhan Choi, Jinsung Jeon, Noseong Park | |
| 119 | | Answering POI-recommendation Questions using Tourism Reviews | | 0 | | Aditi Partap, Danish Contractor, Krunal Shah, Mausam, Parag Singla | |
| 120 | | FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning | | 0 | | Tian Guo, Xiangnan Kong, Xin Dai, Xinlu He | |
| 121 | | Mitigating Negative Influence Diffusion is Hard | | 0 | | Gianlorenzo D'Angelo, Mohammad Abouei Mehrizi | |
| 122 | | Query-Variant Advertisement Text Generation with Association Knowledge | | 0 | | Jing Cai, Siyu Duan, Wei Li, Yancheng He, Yunfang Wu | |
| 123 | | Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions | | 0 | | Jiepu Jiang, Zihan Gao | |
| 124 | | Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs | | 0 | | Abhishek Dang, Arnab Bhattacharya, Garima Gaur, Srikanta Bedathur | |
| 125 | | Driving the Herd: Search Engines as Content Influencers | | 0 | | Fiana Raiber, Gregory Goren, Moshe Tennenholtz, Oren Kurland | |
| 126 | | What is Next when Sequential Prediction Meets Implicitly Hard Interaction? | | 0 | | Jianquan Liu, Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao | |
| 127 | | A Neural Conversation Generation Model via Equivalent Shared Memory Investigation | | 0 | | Adam Jatowt, Changlong Sun, Changzhen Ji, Conghui Zhu, Tiejun Zhao, Xiaozhong Liu, Yating Zhang | |
| 128 | | Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval | | 0 | | Hamed R. Bonab, James Allan, Razieh Rahimi, Sheikh Muhammad Sarwar, Zhiqi Huang | |
| 129 | | Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary | | 0 | | Bosung Kim, Haeun Yu, Hyewon Choi, Youngjoong Ko | |
| 130 | | Fast Extraction of Word Embedding from Q-contexts | | 0 | | Ben Liao, ChangYu Hsieh, Jiezhong Qiu, Junsheng Kong, Shengyu Zhang, Weizhao Li, Yi Cai, Zeyi Liu | |
| 131 | | Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks | | 0 | | Changchun Li, Jihong Ouyang, Ximing Li, Yiming Wang | |
| 132 | | Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering | | 0 | | Haowen Ke, Huan Zhao, Jiaxin Bai, Junpeng Ye, NgoYin Wong, Yangqiu Song, Zizheng Lin | |
| 133 | | Deep Self-Adaptive Hashing for Image Retrieval | | 0 | | Qin Zhang, Qinghong Lin, Shangxuan Tian, Xiaojun Chen, Yudong Chen | |
| 134 | | A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network | | 0 | | Aoran Li, Bohan Li, Hongzhi Yin, Yalei Zang, Yi Liu | |
| 135 | | Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation | | 0 | | Changping Wang, Chenliang Li, Qian Liu, Yanan Niu, Yang Song, Yiyu Liu, Yu Tian | |
| 136 | | Graph Embedding Based on Euclidean Distance Matrix and its Applications | | 0 | | Huiyu Li, Jianfeng Ma, Ruixin Li, Yong Zeng, Zhihong Liu | |
| 137 | | Social Recommendation with Self-Supervised Metagraph Informax Network | | 0 | | Chao Huang, Huance Xu, Lianghao Xia, Liefeng Bo, Peng Dai, Xiaoling Long, Yong Xu | |
| 138 | | Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need | | 0 | | Hao Jiang, JiRong Wen, Wei Xu, Xinyu Zhang, Zhao Cao, Zhengyi Ma, Zhicheng Dou | |
| 139 | | Principled Multi-Aspect Evaluation Measures of Rankings | | 0 | | Christina Lioma, Jakob Grue Simonsen, Lucas Chaves Lima, Maria Maistro | |
| 140 | | SimpleX: A Simple and Strong Baseline for Collaborative Filtering | | 0 | | Jieming Zhu, Jinpeng Wang, Kelong Mao, Quanyu Dai, Xi Xiao, Xiuqiang He, Zhenhua Dong | |
| 141 | | UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation | | 0 | | Biao Lu, Jieming Zhu, Kelong Mao, Xi Xiao, Xiuqiang He, Zhaowei Wang | |
| 142 | | Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach | | 0 | | Josiane Mothe, Md Zia Ullah | |
| 143 | | Disentangling Preference Representations for Recommendation Critiquing with ß-VAE | | 0 | | Alexandros Karatzoglou, Filip Radlinski, Preksha Nema | |
| 144 | | Differentially Private Federated Knowledge Graphs Embedding | | 0 | | Hao Peng, Haoran Li, Jianxin Li, Vincent W. Zheng, Yangqiu Song | |
| 145 | | Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning | | 0 | | Kin K. Leung, Liang Ma, Paul J. Pritz | |
| 146 | | Learning to Augment Imbalanced Data for Re-ranking Models | | 0 | | Lijun Zhang, QingGuo Chen, YingChun Jian, ZiHao Qiu | |
| 147 | | odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks | | 0 | | Fabio Vandin, Ilie Sarpe | |
| 148 | | How Powerful is Graph Convolution for Recommendation? | | 0 | | Caihua Shan, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Yao Zhang, Yifei Shen, Yongji Wu | |
| 149 | | WG4Rec: Modeling Textual Content with Word Graph for News Recommendation | | 0 | | Jingfang Xu, Kun Fang, Min Zhang, Shaoping Ma, Shaoyun Shi, Weizhi Ma, Yiqun Liu, Zhen Wang | |
| 150 | | Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering | | 0 | | Fei Wang, Jay Pujara, Kexuan Sun, Muhao Chen | |
| 151 | | Counterfactual Explainable Recommendation | | 0 | | Juntao Tan, Shuyuan Xu, Xu Chen, Yingqiang Ge, Yongfeng Zhang, Yunqi Li | |
| 152 | | Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing | | 0 | | Baolai Wang, Lingjuan Lyu, Shaojing Fu, Tao Xie, Xuyun Zhang, Yuchuan Luo | |
| 153 | | A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage | | 0 | | Defu Lian, Haoyu Wang, Jing Gao, Yaqing Wang | |
| 154 | | Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions | | 0 | | Hu Wang, Hui Li, Jiangtao Cui, Meng Wang | |
| 155 | | Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation | | 0 | | Dechang Pi, Lin Yue, Miao Xu, Weitong Chen, Xue Li, Yanda Wang | |
| 156 | | Pooling Architecture Search for Graph Classification | | 0 | | Huan Zhao, Lanning Wei, Quanming Yao, Zhiqiang He | |
| 157 | | DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network | | 0 | | Fuzheng Zhang, Jiawei Chen, Junkang Wu, Wei Wu, Wenqiang Lei, Wentao Shi, Xiangnan He, Xuezhi Cao | |
| 158 | | Incremental Graph Convolutional Network for Collaborative Filtering | | 0 | | Dongsheng Li, Hansu Gu, Jiafeng Xia, Ning Gu, Peng Zhang, Tun Lu | |
| 159 | | Counterfactual Review-based Recommendation | | 0 | | Binbin Hu, Jun Zhou, Kun Xiong, Wayne Xin Zhao, Wenwen Ye, Xu Chen, Yongfeng Zhang, Zhiqiang Zhang | |
| 160 | | Speedup Robust Graph Structure Learning with Low-Rank Information | | 0 | | Anqi Cao, Hui Xu, Jiahao Yu, Liyao Xiang, Xinbing Wang | |
| 161 | | Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? | | 0 | | Bingning Wang, Han Yang, Junfei Liu, Leilei Zhang, Ting Yao | |
| 162 | | Entity and Relation Matching Consensus for Entity Alignment | | 0 | | Ding Wang, Jinzhu Yang, Jizhong Han, Songlin Hu, Wanhui Qian, Wei Zhou, Xin Wang | |
| 163 | | MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text | | 0 | | Cao Xiao, Fenglong Ma, Junyu Luo, Muchao Ye, Suhan Cui, Yaqing Wang | |
| 164 | | Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval | | 0 | | Hongliang Fei, Ping Li, Tan Yu, Xiaodong Chen, Yi Li, Yi Yang | |
| 165 | | Multiple Exemplars Learning for Fast Image Retrieval | | 0 | | Ping Li, Tan Yu | |
| 166 | | Delve into the Performance Degradation of Differentiable Architecture Search | | 0 | | Jiuling Zhang, Zhiming Ding | |
| 167 | | SNPR: A Serendipity-Oriented Next POI Recommendation Model | | 0 | | Bin Zhang, Jianxin Li, Ke Deng, Mingwei Zhang, Rizwan Abbas, Yang Yang | |
| 168 | | Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation | | 0 | | Hongzhi Yin, Jundong Li, Junliang Yu, Junwei Zhang, Lei Guo, Min Gao | |
| 169 | | Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding | | 0 | | An Liu, Jiajie Xu, Lei Zhao, Wei Chen, Weiqing Wang, Yufeng Zhang | |
| 170 | | Pareto-optimal Community Search on Large Bipartite Graphs | | 0 | | Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yuting Zhang | |
| 171 | | Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal | | 0 | | Guanrong Chen, Zhongzhi Zhang, Zuobai Zhang | |
| 172 | | Automated Query Graph Generation for Querying Knowledge Graphs | | 0 | | Mei Zhang, Weiguo Zheng | |
| 173 | | VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality | | 0 | | Arnab Bhattacharya, Shubhangi Agarwal, Sourav Dutta | |
| 174 | | Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems | | 0 | | Jiapeng Wu, Kian Ahrabian, Mark Coates, Yingxue Zhang, Yishi Xu, Yuening Wang | |
| 175 | | A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders | | 0 | | Felice Antonio Merra, Tommaso Di Noia, Vito Walter Anelli, Yashar Deldjoo | |
| 176 | | BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction | | 0 | | Ebrahim Bagheri, Maryam Khodabakhsh, Negar Arabzadeh | |
| 177 | | Time-Aware Recommender System via Continuous-Time Modeling | | 0 | | Jianghan Bao, Yu Zhang | |
| 178 | | Anchor-based Collaborative Filtering | | 0 | | Avi Caciularu, Noam Koenigstein, Oren Barkan, Ori Katz, Roy Hirsch | |
| 179 | | Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection | | 0 | | Charles L. A. Clarke, Negar Arabzadeh, Xinyi Yan | |
| 180 | | MGNETS: Multi-Graph Neural Networks for Table Search | | 0 | | Brian D. Davison, Dawei Yin, Jeff Heflin, Mohamed Trabelsi, Zhiyu Chen | |
| 181 | | Collaborative Experts Discovery in Social Coding Platforms | | 0 | | Ebrahim Bagheri, Jason Adelman, Kuan Feng, Morteza Zihayat, Roohollah Etemadi | |
| 182 | | Recommending Datasets for Scientific Problem Descriptions | | 0 | | AnnKathrin Leisinger, Michael Färber | |
| 183 | | Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy | | 0 | | Abir De, Chitrank Gupta, Soumen Chakrabarti, Yash Jain | |
| 184 | | GLocal-K: Global and Local Kernels for Recommender Systems | | 0 | | Bernd Burgstaller, Josiah Poon, Siqu Long, Soyeon Caren Han, Taejun Lim | |
| 185 | | Centerpoint Query Authentication | | 0 | | Magnus Haxen, Morten Raeburn, Panagiotis Karras, Peyman Afshani | |
| 186 | | When is Nearest Neighbor Meaningful: Sequential Data | | 0 | | Aaron Hui, Byron J. Gao | |
| 187 | | Self-supervised Fine-tuning for Efficient Passage Re-ranking | | 0 | | Meoungjun Kim, Youngjoong Ko | |
| 188 | | OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval | | 0 | | Lin Zhang, Mingyang Li, ShaoLun Huang | |
| 189 | | Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images | | 0 | | Jianquan Liu, Lin Li, Ming Li, Qing Xie, Zichen Zan | |
| 190 | | State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval | | 0 | | Jiqun Liu, Ran Yu | |
| 191 | | Review-Aware Neural Recommendation with Cross-Modality Mutual Attention | | 0 | | Jianbo Yuan, Jun Wu, Songyin Luo, Xiangkui Lu | |
| 192 | | Temporal Network Embedding via Tensor Factorization | | 0 | | Jian Lou, Jing Ma, Joyce C. Ho, Li Xiong, Qiuchen Zhang | |
| 193 | | Multi-objective Few-shot Learning for Fair Classification | | 0 | | Debasis Ganguly, Ishani Mondal, Procheta Sen | |
| 194 | | Evaluating Fairness in Argument Retrieval | | 0 | | Damiano Spina, Falk Scholer, Sachin Pathiyan Cherumanal, W. Bruce Croft | |
| 195 | | Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval | | 0 | | Jun Rao, Qing Liao, Shuhan Qi, Tao Qian, Xuan Wang, Yulin Wu | |
| 196 | | Reputation Equity in Ranking Systems | | 0 | | Guilherme Ramos, Ludovico Boratto, Mirko Marras | |
| 197 | | Vector-Quantized Autoencoder With Copula for Collaborative Filtering | | 0 | | Fan Zhou, Guanyu Wang, Kunpeng Zhang, Ting Zhong, Xovee Xu, Yong Wang | |
| 198 | | Template-guided Clarifying Question Generation for Web Search Clarification | | 0 | | Jian Wang, Wenjie Li | |
| 199 | | Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization | | 0 | | Chenghan Huang, Lili Wang, Soroush Vosoughi, Weicheng Ma, Xinyuan Cao | |
| 200 | | Fully Hyperbolic Graph Convolution Network for Recommendation | | 0 | | Fenyu Hu, Liang Wang, Liping Wang, Shu Wu | |
| 201 | | Embedding Node Structural Role Identity Using Stress Majorization | | 0 | | Chenghan Huang, Lili Wang, Soroush Vosoughi, Weicheng Ma, Ying Lu | |
| 202 | | Binary Code based Hash Embedding for Web-scale Applications | | 0 | | Bencheng Yan, Bo Zheng, Jian Xu, Jinquan Liu, KuangChih Lee, Pengjie Wang, Wei Lin | |
| 203 | | Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer | | 0 | | Bencheng Yan, Bo Zheng, Jian Xu, Kai Zhang, KuangChih Lee, Pengjie Wang, Wei Lin | |
| 204 | | MixBERT for Image-Ad Relevance Scoring in Advertising | | 0 | | Jianwen Xie, Ping Li, Qing Xu, Ruiyang Yin, Tan Yu, Xiaokang Li | |
| 205 | | Multi-objective Privacy-preserving Text Representation Learning | | 0 | | Chenyi Hu, Huixin Zhan, Kun Zhang, Victor S. Sheng | |
| 206 | | Causally Attentive Collaborative Filtering | | 0 | | Jingsen Zhang, Wayne Xin Zhao, Xu Chen | |
| 207 | | Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks | | 0 | | Bang Wu, Chuan Zhou, He Zhang, Shirui Pan, Shuo Wang, Xiangwen Yang, Xingliang Yuan | |
| 208 | | Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features | | 0 | | Chaochao Liu, Lin Pan, Pengfei Jiao, Ting Pan, Wang Zhang, Wenjun Wang, Xuan Guo | |
| 209 | | DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking | | 0 | | Qing Yang, Xuanyu Zhang | |
| 210 | | SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings | | 0 | | Hongkuan Zhou, James OrmeRogers, Rajgopal Kannan, Viktor K. Prasanna | |
| 211 | | Multi-Task Self-Supervised Learning for Script Event Prediction | | 0 | | Bo Zhou, Jiexin Xu, Jinlong Li, Jun Zhao, Kang Liu, Xiaojian Jiang, Yubo Chen | |
| 212 | | REFINE: Random RangE FInder for Network Embedding | | 0 | | Hao Zhu, Piotr Koniusz | |
| 213 | | Self-Supervised Embedding for Subspace Clustering | | 0 | | Bo Peng, Chunchun Chen, Wenjie Zhu | |
| 214 | | Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models | | 0 | | Bo Chen, Hongkun Zheng, Muyu Zhang, Ruiming Tang, Wei Guo, Weiwei Yao, Xiuqiang He, Yichao Wang, Zhirong Liu | |
| 215 | | LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising | | 0 | | Chiyoung Song, Jinsung Jeon, Minju Jo, Noseong Park, Seonghoon Kim, Seunghyeon Cho, Soyoung Kang | |
| 216 | | You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation | | 0 | | Haifeng Chen, Haiqi Xiao, Wei Cheng, Wei Wang, Wenchao Yu, Zeyu Li | |
| 217 | | Scalable Learning to Troubleshoot Query Performance Problems | | 0 | | Alexandar Mihaylov, Calisto Zuzarte, Jaroslaw Szlichta, Parke Godfrey, Piotr Mierzejewski, Vincent Corvinelli | |
| 218 | | Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search | | 0 | | Di Niu, Fabian Chudak, Fred X. Han, Jialin Zhang, Keith G. Mills, Seyed Saeed Changiz Rezaei, Shangling Jui, Shuo Lian, Wei Lu | |
| 219 | | Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations | | 0 | | Cen Chen, Chengyu Wang, Feng Ji, Haojie Pan, Jun Huang, Liu Yang, Minghui Qiu | |
| 220 | | Prioritizing Original News on Facebook | | 0 | | Igor L. Markov, Lucas Adams, Shujian Bu, Xiuyan Ni | |
| 221 | | Contextual Skill Proficiency via Multi-task Learning at LinkedIn | | 0 | | Ada Ma, How Jing, Jacob Bollinger, Jaewon Yang, Lin Zhu, Qi He, Xiao Yan | |
| 222 | | On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation | | 0 | | Caiming Xiong, Chenxi Li, Harshavardhan Utharavalli, Jia Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Steven C. H. Hoi, Wenzhuo Yang | |
| 223 | | Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising | | 0 | | Lin Liu, Mingming Sun, Ping Li, Tan Yu, Yi Li, Yi Yang | |
| 224 | | CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge | | 0 | | Chao Zhang, Dejing Dou, Haoyi Xiong, Jingbo Zhou, Liang Yin, Lin Liu, Qing Xu, Xiang He, Xiaoling Zang | |
| 225 | | CoST: An annotated Data Collection for Complex Search | | 0 | | Aline Chevalier, Cheyenne Dosso, José G. Moreno, Lynda Tamine | |
| 226 | | PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval | | 0 | | Craig Macdonald, Iadh Ounis, Nicola Tonellotto, Sean MacAvaney | |
| 227 | | librec-auto: A Tool for Recommender Systems Experimentation | | 0 | | Andrew Schwartz, Masoud Mansoury, Nasim Sonboli, Robin Burke, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Ziyue Guo | |
| 228 | | Machamp: A Generalized Entity Matching Benchmark | | 0 | | Jin Wang, Wataru Hirota, Yuliang Li | |
| 229 | | GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale | | 0 | | Elena Demidova, Nicolas Tempelmeier, Simon Gottschalk | |
| 230 | | RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms | | 0 | | Changxin Tian, Hui Wang, JiRong Wen, Kaiyuan Li, Pengfei Wang, Shanlei Mu, Wayne Xin Zhao, Wendi Ji, Xiaoling Wang, Xingyu Pan, Xinyan Fan, Xu Chen, Yaliang Li, Yingqian Min, Yujie Lu, Yupeng Hou, Yushuo Chen, Zhichao Feng, Zihan Lin | |
| 231 | | Landmark Explanation: An Explainer for Entity Matching Models | | 0 | | Andrea Baraldi, Francesco Del Buono, Francesco Guerra, Matteo Paganelli | |
| 232 | | SearchEHR: A Family History Search System for Clinical Decision Support | | 0 | | Maciej Rybinski, Sarvnaz Karimi, Xiang Dai | |
| 233 | | TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories | | 0 | | Dingxian Wang, Guandong Xu, Hanzhang Wang, Hongxu Chen, Li He | |
| 234 | | Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification | | 0 | | Baobao Chang, Damai Dai, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui | |
| 235 | | Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy | | 0 | | Bechara al Bouna, Héber Hwang Arcolezi, JeanFrançois Couchot, Xiaokui Xiao | |
| 236 | | DCAP: Deep Cross Attentional Product Network for User Response Prediction | | 0 | | Fangtian Zhong, Robert Pless, Xiao Zhang, Xiuzhen Cheng, Zekai Chen, Zhumin Chen | |
| 237 | | Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases | | 0 | | Chang Lu, Ghadah Alghamdi, Renate A. Schmidt, Yizheng Zhao, Zhao Liu | |
| 238 | | Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization | | 0 | | Haolan Zhan, Hongshen Chen, Lei Shen, Xiaodan Zhu, Xiaofang Zhao, Xin Shen | |
| 239 | | Adversarial Kernel Sampling on Class-imbalanced Data Streams | | 0 | | Peng Yang, Ping Li | |
| 240 | | Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values | | 0 | | Dawon Ahn, Seyun Kim, U Kang | |
| 241 | | Fair and Robust Classification Under Sample Selection Bias | | 0 | | Wei Du, Xintao Wu | |
| 242 | | Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks | | 0 | | Dong Wang, Jianping Wei, Jinjie Gu, Jun Zhou, Qiang Li, Xiaocheng Cheng, Xiaodong Zeng, Yue Shen, Zhiqiang Zhang, Ziqi Liu | |
| 243 | | On Skipping Behaviour Types in Music Streaming Sessions | | 0 | | Crawford Revie, Francesco Meggetto, John Levine, Yashar Moshfeghi | |
| 244 | | Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks | | 0 | | ChinChia Michael Yeh, Javid Ebrahimi, Junpeng Wang, Liang Wang, Ryan Mercer, Wei Zhang, Yan Zheng, Zhongfang Zhuang | |
| 245 | | CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods | | 0 | | Huan Liu, K. Selçuk Candan, Paras Sheth, Ruocheng Guo, Ujun Jeong | |
| 246 | | GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps | | 0 | | Amir Hertz, Avi Caciularu, Itzik Malkiel, Noam Koenigstein, Omri Armstrong, Oren Barkan, Ori Katz | |
| 247 | | Representation Learning via Variational Bayesian Networks | | 0 | | Avi Caciularu, Idan Rejwan, Itzik Malkiel, Jonathan Weill, Noam Koenigstein, Oren Barkan, Ori Katz | |
| 248 | | Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics | | 0 | | Arun Kumar Chandran, Cheng Long, Gao Cong, Richard Ellison, Xiucheng Li, Yiding Liu, Yile Chen, Zhifeng Bao | |
| 249 | | Large-scale Secure XGB for Vertical Federated Learning | | 0 | | Benyu Zhang, Chaochao Chen, Chaofan Yu, Derun Zhao, Jin Tan, Jun Zhou, Lei Wang, Li Wang, Wenjing Fang | |
| 250 | | Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing | | 0 | | Haoran Zhang, Marzyeh Ghassemi, Shalmali Joshi, Sindhu C. M. Gowda | |
| 251 | | NED: Niche Detection in User Content Consumption Data | | 0 | | Ekta Gujral, Evangelos E. Papalexakis, Leonardo Neves, Neil Shah | |
| 252 | | Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction | | 0 | | Bo Cheng, Guoshun Nan, Jiale Han | |
| 253 | | GraphITE: Estimating Individual Effects of Graph-structured Treatments | | 0 | | Hisashi Kashima, Shonosuke Harada | |
| 254 | | Estimating Average Treatment Effects via Orthogonal Regularization | | 0 | | Stefan Feuerriegel, Tobias Hatt | |
| 255 | | Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation | | 0 | | Mahsa Keramati, Uwe Glässer, Zahra Zohrevand | |
| 256 | | Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits | | 0 | | Dong Yuan, Liming Ge, Wei Bao, Weiyu Ju | |
| 257 | | Semantic Concept Annotation for Tabular Data | | 0 | | Sainyam Galhotra, Udayan Khurana | |
| 258 | | Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling | | 0 | | Jianbo Yang, Wenwu Zhu, Xin Wang, Xue Xu, Yue Liu | |
| 259 | | GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation | | 0 | | Changsheng Ma, Xiangliang Zhang | |
| 260 | | Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees | | 0 | | Lei Zhu, Panpan Qi, SeeKiong Ng, Wei Wang | |
| 261 | | AdaSim: A Recursive Similarity Measure in Graphs | | 0 | | Masoud Reyhani Hamedani, SangWook Kim | |
| 262 | | Top-k Tree Similarity Join | | 0 | | Jianhua Wang, Jianye Yang, Wenjie Zhang | |
| 263 | | The Skyline of Counterfactual Explanations for Machine Learning Decision Models | | 0 | | Chunyan Miao, Jinglong Wang, Ke Wang, Qinxu Ding, Xingyu Wu, Yong Liu, Yongjie Wang, Yue Liu | |
| 264 | | Region Semantically Aligned Network for Zero-Shot Learning | | 0 | | Jingjing Li, Yang Yang, Yu Zhang, Yunhao Gou, Ziyang Wang | |
| 265 | | Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning | | 0 | | Chuan Chen, Dalong Yang, Shihwei Liao, Youhao Zheng, Zibin Zheng | |
| 266 | | CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards | | 0 | | Chenran Zhao, Dianxi Shi, Guojun Xie, Huanhuan Yang, Shaowu Yang | |
| 267 | | HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data | | 0 | | Bolong Zheng, Chengdong Tong, Chenliang Li, Guohui Li, Lianggui Weng, Zhong Yang | |
| 268 | | Topic Modeling for Multi-Aspect Listwise Comparisons | | 0 | | Delvin Ce Zhang, Hady W. Lauw | |
| 269 | | DSDD: Domain-Specific Dataset Discovery on the Web | | 0 | | Aécio S. R. Santos, Haoxiang Zhang, Juliana Freire | |
| 270 | | Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph | | 0 | | Mingxi Zhang, Wei Wang, Xifeng Yan | |
| 271 | | Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism | | 0 | | Gang Chen, Kai Huang, Putian Zhao, Wendong Zheng | |
| 272 | | Variational Graph Normalized AutoEncoders | | 0 | | Myoung Ho Kim, SeongJin Ahn | |
| 273 | | Scalable Contrast Pattern Mining over Data Streams | | 0 | | Christopher Leckie, Elaheh Alipour Chavary, Sarah M. Erfani | |
| 274 | | Understanding Multi-channel Customer Behavior in Retail | | 0 | | Maarten de Rijke, Min Fang, Mozhdeh Ariannezhad, Pim Nauts, Sami Jullien, Sebastian Schelter | |
| 275 | | Distilling Numeral Information for Volatility Forecasting | | 0 | | ChungChi Chen, HenHsen Huang, HsinHsi Chen, YuLieh Huang | |
| 276 | | Does Adversarial Oversampling Help us? | | 0 | | Hussein A. Abbass, Md Meftahul Ferdaus, Senthilnath Jayavelu, Sreenatha G. Anavatti, Tanmoy Dam | |
| 277 | | Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection | | 0 | | Erick Draayer, Huiping Cao, Yifan Hao | |
| 278 | | Density-Based Dynamic Curriculum Learning for Intent Detection | | 0 | | Cao Liu, Fan Yang, Guanglu Wan, Houfeng Wang, Jiansong Chen, Jiazhen Yuan, Ruiyao Niu, Xunliang Cai, Yantao Gong | |
| 279 | | Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation | | 0 | | Shuhan Yuan, Xiao Han | |
| 280 | | LTPHM: Long-term Traffic Prediction based on Hybrid Model | | 0 | | Chuyin Huang, Genan Dai, Weiyang Kong, Yubao Liu | |
| 281 | | SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer | | 0 | | ByungGon Chun, Dohyeon Lee, Gyewon Lee, Jaeseong Lee, Seungwon Hwang | |
| 282 | | CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models | | 0 | | CheonEum Park, Hwanhee Lee, Juae Kim, Kyomin Jung, Minwoo Lee, Seungpil Won | |
| 283 | | Hubness-aware User Identity Linkage | | 0 | | Chaozhuo Li, Feiran Huang, Jie Xu, Philip S. Yu, Senzhang Wang | |
| 284 | | Graph Representation Learning via Adversarial Variational Bayes | | 0 | | Yaochen Hu, Yingxue Zhang, Yunhe Li | |
| 285 | | Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast | | 0 | | Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Xueni Luo, Yifeng Luo | |
| 286 | | MDFEND: Multi-domain Fake News Detection | | 0 | | Jintao Li, Juan Cao, Qiong Nan, Yanyan Wang, Yongchun Zhu | |
| 287 | | Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification | | 0 | | Guilherme Ramos, Luca Piras, Ludovico Boratto | |
| 288 | | A Conditional Cascade Model for Relational Triple Extraction | | 0 | | Bochao Li, Feiliang Ren, Longhui Zhang, Shilei Liu, Shujuan Yin, Xiaofeng Zhao | |
| 289 | | HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation | | 0 | | Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Nikhil Reddy Varimalla, Partha Pratim Das, Tokala Yaswanth Sri Sai Santosh | |
| 290 | | BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values | | 0 | | Longbing Cao, Qinfen Wang, Siyuan Ren, Yong Xia | |
| 291 | | Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks | | 0 | | Ai Jiang, Chenhao Lu, Ji Zhang, Jun Gao, Ke Li, Yang Zhang, Zhao Li, Zhen Wang, Zujie Ren | |
| 292 | | Relation-aware Heterogeneous Graph for User Profiling | | 0 | | Liang Wang, Qiang Liu, Qilong Yan, Shu Wu, Yufeng Zhang | |
| 293 | | SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation | | 0 | | Aidong Zhang, Jing Gao, Liuyi Yao, Mengdi Huai, Sheng Li, Yaliang Li | |
| 294 | | Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts | | 0 | | Aasish Pappu, Alice Wang, Benjamin A. Carterette, Hugues Bouchard, Maryam Aziz, Mounia Lalmas, Yu Zhao | |
| 295 | | From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog | | 0 | | Anirban Chatterjee, Asit Sharad Tarsode, Kunal Banerjee, Pranay Dugar, Rajesh Shreedhar Bhat, Uddipto Dutta, Vijay Srinivas Agneeswaran | |
| 296 | | SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection | | 0 | | Herun Wan, Jundong Li, Minnan Luo, Ningnan Wang, Shangbin Feng | |
| 297 | | Beast: Scalable Exploratory Analytics on Spatio-temporal Data | | 0 | | A. B. Siddique, Ahmed Eldawy, Akil Sevim, Ganesh Sivaram, Majid Saeedan, Saheli Ghosh, Samriddhi Singla, Tin Vu, Vagelis Hristidis, Yaming Zhang | |
| 298 | | Prohibited Item Detection on Heterogeneous Risk Graphs | | 0 | | Chuan Shi, Xiao Wang, Yugang Ji | |
| 299 | | Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series | | 0 | | Bin Liang, Fang Chen, Shuming Liang, Yang Wang, Yu Ding, Zhidong Li | |
| 300 | | Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task | | 0 | | Caifan Du, James Howison, Johanna Cohoon, Karthik Ram, Patrice Lopez | |
| 301 | | From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction | | 0 | | Anup B. Rao, Eunyee Koh, Gang Wu, Nesreen K. Ahmed, Ryan A. Rossi, Sungchul Kim | |
| 302 | | From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry | | 0 | | Avigdor Gal, Gil Katz, Nitay Calderon, Roee Shraga, Yael Badian | |
| 303 | | K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering | | 0 | | FengLin Li, Fu Sun, Ji Zhang, Qianglong Chen, Ruize Wang, Xingyi Cheng | |
| 304 | | DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs | | 0 | | Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Hajira Jabeen, Jens Lehmann | |
| 305 | | TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark | | 0 | | Herun Wan, Jundong Li, Minnan Luo, Ningnan Wang, Shangbin Feng | |
| 306 | | PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models | | 0 | | Alexander Riedel, Benedek Rozemberczki, Ferenc Béres, George Panagopoulos, Guzmán López, Maria Sinziana Astefanoaei, Nicolas Collignon, Oliver Kiss, Paul Scherer, Rik Sarkar, Yixuan He | |
| 307 | | Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens | | 0 | | AngelosChristos G. Anadiotis, Francesco Chimienti, Helena Galhardas, Ioana Manolescu, Mhd Yamen Haddad, Oana Balalau, Stephane Horel, Theo Bouganim, Youssr Youssef | |
| 308 | | DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning | | 0 | | Aurélien Personnaz, Laure BertiÉquille, Maximilian Fabricius, Sihem AmerYahia, Srividya Subramanian | |
| 309 | | A Semantic Data Marketplace for Easy Data Sharing within a Smart City | | 0 | | Alexander Paulus, Andreas Burgdorf, André Pomp, Tobias Meisen | |
| 310 | | Videolytics: System for Data Analytics of Video Streams | | 0 | | Dominika Durisková, Marek Dobranský, Petr Pechman, Tomás Skopal, Vladislav Khachaturian | |
| 311 | | Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory | | 0 | | Aoying Zhou, Huiqi Hu, Jiang Wang, Weining Qian, Xing Wei, Xuan Zhou, Xuecheng Qi | |
| 312 | | Form 10-Q Itemization | | 0 | | Lawrence Donohue, Rui Dai, Tianming Du, Yanci Zhang, Yujie Sun | |
| 313 | | Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges | | 0 | | James G. Shanahan, Joel Barajas, Narayan Bhamidipati | |
| 314 | | AntOpt: A Multi-functional Large-scale Decision Optimization Platform | | 0 | | Hua Wu, Jun Zhou, Yang Bao, Zhigang Hua | |
| 315 | | Large-Scale Information Extraction under Privacy-Aware Constraints | | 0 | | Rajeev Gupta, Ranganath Kondapally | |
| 316 | | Fake News, Disinformation, Propaganda, and Media Bias | | 0 | | Giovanni Da San Martino, Preslav Nakov | |
| 317 | | THECOG - Transforms In Behavioral And Affective Computing | | 0 | | Eleanna Kafeza, Georgios Drakopoulos | |
| 318 | | Towards Reliable and Practicable Algorithmic Recourse | | 0 | | Himabindu Lakkaraju | |
| 319 | | Anomaly Mining: Past, Present and Future | | 0 | | Leman Akoglu | |
| 320 | | Non-Visual Accessibility Assessment of Videos | | 0 | | Ali Selman Aydin, I. V. Ramakrishnan, Utku Uckun, Vikas Ashok, YuJung Ko | |
| 321 | | Automated Selection of Multiple Datasets for Extension by Integration | | 0 | | Moran Cohen, Yael Amsterdamer | |
| 322 | | Skyline in Crowdsourcing with Imprecise Comparisons | | 0 | | Adriano Fazzone, Aris Anagnostopoulos, Giacomo Vettraino | |
| 323 | | ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations | | 0 | | Bertrand Mazure, Fahima Cheikh Alili, Karim Tabia, Ryma Boumazouza | |
| 324 | | Influence Maximization With Co-Existing Seeds | | 0 | | Gianlorenzo D'Angelo, Hugo Gilbert, Ruben Becker | |
| 325 | | HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations | | 0 | | Abhishek Nadgeri, Anson Bastos, Isaiah Onando Mulang', Johannes Hoffart, Kuldeep Singh, Saeedeh Shekarpour | |
| 326 | | Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection | | 0 | | Chao Chen, Jiaxin Liu, Kai Burkholder, Kenny Kwock, Sihong Xie, Yuesheng Xu | |
| 327 | | ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior | | 0 | | Rukma Talwadker, Surajit Chakrabarty, Tridib Mukherjee | |
| 328 | | Geometric Heuristics for Transfer Learning in Decision Trees | | 0 | | Alessandra Sala, Guangyuan Piao, Mateusz Rzepecki, Patrick K. Nicholson, Siddhesh Chaubal | |
| 329 | | LiteGT: Efficient and Lightweight Graph Transformers | | 0 | | Chaofan Tao, Cong Chen, Ngai Wong | |
| 330 | | HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities | | 0 | | Aidong Zhang, Jiayi Chen | |
| 331 | | An Effective Non-Autoregressive Model for Spoken Language Understanding | | 0 | | Lizhi Cheng, Weijia Jia, Wenmian Yang | |
| 332 | | Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction | | 0 | | Chen Zhu, Guanyu Ye, Kai Zheng, Yue Cui, Ziwei Wang | |
| 333 | | Towards Self-Explainable Graph Neural Network | | 0 | | Enyan Dai, Suhang Wang | |
| 334 | | Scaling Up Distance-generalized Core Decomposition | | 0 | | Guoren Wang, Lu Qin, Qiangqiang Dai, RongHua Li, Weihua Yang, Ye Yuan, Zhiwei Zhang | |
| 335 | | Understanding Event Predictions via Contextualized Multilevel Feature Learning | | 0 | | Huzefa Rangwala, Songgaojun Deng, Yue Ning | |
| 336 | | Deep Adversarial Network Alignment | | 0 | | Hamid Karimi, Jiejun Xu, Jiliang Tang, Tyler Derr, Xiaorui Liu | |
| 337 | | A Deep Learning Framework for Self-evolving Hierarchical Community Detection | | 0 | | Daizong Ding, Hanrui Wang, Mi Zhang, Min Yang, Xiangnan He, Xudong Pan | |
| 338 | | Explanations for Data Repair Through Shapley Values | | 0 | | Amir Gilad, Daniel Deutch, Nave Frost, Oren Sheffer | |
| 339 | | AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter | | 0 | | Brian Jalaian, Jundong Li, Kaize Ding, Shuiwang Ji, Yushun Dong | |
| 340 | | AdaRNN: Adaptive Learning and Forecasting of Time Series | | 0 | | Chongjun Wang, Jindong Wang, Renjun Xu, Sinno Jialin Pan, Tao Qin, Wenjie Feng, Yuntao Du | |
| 341 | | Fine and Coarse Granular Argument Classification before Clustering | | 0 | | Lorik Dumani, Ralf Schenkel, Tobias Wiesenfeldt | |
| 342 | | HyperGraph Convolution Based Attributed HyperGraph Clustering | | 0 | | Barakeel Fanseu Kamhoua, Bo Han, Bo Li, James Cheng, Kaili Ma, Lin Zhang | |
| 343 | | Fast and Accurate Anchor Graph-based Label Prediction | | 0 | | Atsutoshi Kumagai, Naonori Ueda, Sekitoshi Kanai, Yasuhiro Fujiwara, Yasutoshi Ida | |
| 344 | | Pruning Meta-Trained Networks for On-Device Adaptation | | 0 | | Dawei Gao, Lothar Thiele, Xiaoxi He, Yongxin Tong, Zimu Zhou | |
| 345 | | Zero-shot Relation Classification from Side Information | | 0 | | Hoda Eldardiry, Jiaying Gong | |
| 346 | | To Be or not to Be, Tail Labels in Extreme Multi-label Learning | | 0 | | Ximing Li, Zhiqi Ge | |
| 347 | | Mining Bursty Groups from Interaction Data | | 0 | | Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Lin Zhang, Petko Bogdanov | |
| 348 | | VPALG: Paper-publication Prediction with Graph Neural Networks | | 0 | | Renchu Guan, Xiaoyue Feng, Ximing Li, Yonghao Liu | |
| 349 | | Multi-view Interaction Learning for Few-Shot Relation Classification | | 0 | | Dongsheng Li, Jianming Zheng, Linbo Qiao, Linhui Feng, Qi Zhai, Xiangke Liao, Yi Han, Yifu Gao, Yu Tang, Zhigang Kan | |
| 350 | | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion | | 0 | | Chang Xu, Enhong Chen, Jiang Bian, Le Wu, Min Hou, TieYan Liu, Weiqing Liu, Yang Liu, Zhi Li | |
| 351 | | Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning | | 0 | | Guang Kou, Haoyu Zhang, Ke Yang, Lin Liu, Na Li, Zhihui Hu | |
| 352 | | Signed Bipartite Graph Neural Networks | | 0 | | Huawei Shen, Junjie Huang, Qi Cao, Shuchang Tao, Xueqi Cheng | |
| 353 | | Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era | | 0 | | Heng Zhang, Jianxin Li, Min Chen, Shaoyuan Huang, Victor C. M. Leung, Xiaofei Wang | |
| 354 | | Complex Temporal Question Answering on Knowledge Graphs | | 0 | | Gerhard Weikum, Rishiraj Saha Roy, Soumajit Pramanik, Zhen Jia | |
| 355 | | Contrastive Pre-Training of GNNs on Heterogeneous Graphs | | 0 | | Chuan Shi, Xunqiang Jiang, Yuan Fang, Yuanfu Lu | |
| 356 | | Graph Feature Gating Networks | | 0 | | Charu C. Aggarwal, Jiliang Tang, Tyler Derr, Wei Jin, Xiaorui Liu, Yao Ma | |
| 357 | | Efficient Multi-Scale Feature Generation Adaptive Network | | 0 | | Gwanghan Lee, Minha Kim, Minha Kim, Simon S. Woo | |
| 358 | | ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning | | 0 | | Dongwon Lee, Hyunseung Jei, Kibong Choi, SangWook Kim, YunYong Ko | |
| 359 | | Certifying One-Phase Technology-Assisted Reviews | | 0 | | David D. Lewis, Eugene Yang, Ophir Frieder | |
| 360 | | Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems | | 0 | | Brian F. Gage, Chenyang Lu, Dingwen Li, Jeff Klaus, Marin Kollef, Patrick G. Lyons | |
| 361 | | Cache-based GNN System for Dynamic Graphs | | 0 | | Haoyang Li, Lei Chen | |
| 362 | | Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server | | 0 | | Han Wu, Jiachuan Wang, Lei Chen, Libin Zheng, Maocheng Li, Peng Cheng, Xuemin Lin | |
| 363 | | Block Access Pattern Discovery via Compressed Full Tensor Transformer | | 0 | | Gang Hu, Hui Mao, Jia Zeng, Lei Chen, Mingxuan Yuan, Qiquan Shi, Xing Li, Yiyuan Yang, Zhuo Cheng | |
| 364 | | Learning to Cluster via Same-Cluster Queries | | 0 | | Qin Zhang, Yan Song, Yi Li | |
| 365 | | Grammatical Error Correction with Dependency Distance | | 0 | | Haowen Lin, Huanhuan Chen, Jinlong Li, Xu Zhang | |
| 366 | | Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces | | 0 | | Chunyu Liu, Haomeng Wu, Lin Yue, Weitong Chen, Yongjian Yang, Yuanbo Xu, Zijun Yao | |
| 367 | | SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization | | 0 | | Haocheng Wang, Huanyu Liu, Liangliang Zhao, Ruifang He, Ruifang Wang | |
| 368 | | ECMA: An Efficient Convoy Mining Algorithm for Moving Objects | | 0 | | Bohan Li, Geng Yang, Hua Dai, Jiawei Li, Jun Wang, Yiyang Liu | |
| 369 | | Mining Cross Features for Financial Credit Risk Assessment | | 0 | | Haoli Zhang, Jun Zhu, Qiang Liu, Yuntian Chen, Zhaocheng Liu | |
| 370 | | BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data | | 0 | | Amit Livne, Bracha Shapira, Lior Rokach, Roy Dor | |
| 371 | | LEReg: Empower Graph Neural Networks with Local Energy Regularization | | 0 | | Guojie Song, Hanyue Chen, Xiaojun Ma | |
| 372 | | A Unified View on Graph Neural Networks as Graph Signal Denoising | | 0 | | Jiliang Tang, Neil Shah, Tong Zhao, Xiaorui Liu, Yao Ma, Yozen Liu | |
| 373 | | Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model | | 0 | | Linhao Luo, Wenjie Zhang, Xiaofeng Zhang, Xin Cao, Yixiang Fang | |
| 374 | | Generating Compositional Color Representations from Text | | 0 | | Dhananjay Raut, Nihal Jain, Paridhi Maheshwari, Praneetha Vaddamanu, Shraiysh Vaishay, Vishwa Vinay | |
| 375 | | A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion | | 0 | | Akiko Takeda, Akira Tanaka, Atsushi Miyauchi, Naoki Marumo | |
| 376 | | 50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts | | 0 | | Dafna Shahaf, Moran Mizrahi | |
| 377 | | L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning | | 0 | | Di Niu, Fred X. Han, Keith G. Mills, Linglong Kong, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Shangling Jui, Shuo Lian, Wei Lu | |
| 378 | | POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence | | 0 | | Rahul Mishra, Shuo Zhang | |
| 379 | | Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays | | 0 | | Harshad Khadilkar, Mayank Baranwal, Somjit Nath | |
| 380 | | Efficient Hyperparameter Optimization under Multi-Source Covariate Shift | | 0 | | Masahiro Nomura, Yuta Saito | |
| 381 | | Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization | | 0 | | Bo Zong, Dongjin Song, Haifeng Chen, Jingchao Ni, Wei Cheng, Xuchao Zhang, Yanchi Liu, Zhengzhang Chen | |
| 382 | | Influence-guided Data Augmentation for Neural Tensor Completion | | 0 | | Ryan A. Rossi, Sejoon Oh, Srijan Kumar, Sungchul Kim | |
| 383 | | Learning Saliency Maps to Explain Deep Time Series Classifiers | | 0 | | Elke A. Rundensteiner, Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen | |
| 384 | | Sparse Shield: Social Network Immunization vs. Harmful Speech | | 0 | | Alexandru Petrescu, CiprianOctavian Truica, Elena Simona Apostol, Panagiotis Karras | |
| 385 | | MentalSpot: Effective Early Screening for Depression Based on Social Contagion | | 0 | | Da Yan, Haiquan Chen, Jahandad Pirayesh, WeiShinn Ku, Xiao Qin | |
| 386 | | Natural Language Understanding with Privacy-Preserving BERT | | 0 | | Chen Qu, Liu Yang, Marc Najork, Michael Bendersky, Mingyang Zhang, Weize Kong | |
| 387 | | Fairness-Aware Training of Decision Trees by Abstract Interpretation | | 0 | | Caterina Urban, Francesco Ranzato, Marco Zanella | |
| 388 | | A Study of Explainability Features to Scrutinize Faceted Filtering Results | | 0 | | Jaime Arguello, Jiaming Qu, Yue Wang | |
| 389 | | QuAX: Mining the Web for High-utility FAQ | | 0 | | Fuad T. Jamour, Muhammad Shihab Rashid, Vagelis Hristidis | |
| 390 | | Corrective Guidance and Learning for Dialogue Management | | 0 | | JenTzung Chien, Mahdin Rohmatillah | |
| 391 | | The Shapley Value of Classifiers in Ensemble Games | | 0 | | Benedek Rozemberczki, Rik Sarkar | |
| 392 | | ClaSP - Time Series Segmentation | | 0 | | Arik Ermshaus, Patrick Schäfer, Ulf Leser | |
| 393 | | One-shot Transfer Learning for Population Mapping | | 0 | | Erzhuo Shao, Jie Feng, Tong Xia, Yingheng Wang, Yong Li | |
| 394 | | Inductive Matrix Completion Using Graph Autoencoder | | 0 | | Chuheng Zhang, Liang Zeng, Wanchun Dou, Wei Shen, Xiaolong Xu, Xiaonan He, Yun Tian | |
| 395 | | DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space | | 0 | | Jianxin Li, Xiaowang Zhang, Xin Wang, Yuxin Shen, Zhao Li | |
| 396 | | Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning | | 0 | | Juan Cao, Lei Zhong, Qiang Sheng, Xueyao Zhang | |
| 397 | | XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management | | 0 | | Guohui Li, Jianjun Li, Ke Liu, Peng Pan, Si Shi | |
| 398 | | Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring | | 0 | | Avyakt Gupta, Balaji Krishnamurthy, Changyou Chen, Rajiv Ratn Shah, Shaurya Bagga, Yaman Kumar Singla | |
| 399 | | SGCL: Contrastive Representation Learning for Signed Graphs | | 0 | | Chuan Chen, Erxin Du, Lin Shu, Shaofeng Shen, Xingxing Xing, Yaomin Chang, Zibin Zheng | |
| 400 | | SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking | | 0 | | Carlos Castillo, Karl Aberer, Panayiotis Smeros | |
| 401 | | Metric Sentiment Learning for Label Representation | | 0 | | Chengyu Song, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan | |
| 402 | | PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network | | 0 | | Changjie Yang, Fan Zhou, Feiteng Huang, Hao Sun, Kai Zheng, Liwei Deng | |
| 403 | | Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach | | 0 | | Di Jin, Xin Huang, Xin Sun, Zitan Sun | |
| 404 | | DESYR: Definition and Syntactic Representation Based Claim Detection on the Web | | 0 | | Md. Shad Akhtar, Megha Sundriyal, Parantak Singh, Shubhashis Sengupta, Tanmoy Chakraborty | |
| 405 | | Semi-supervised Multi-label Learning for Graph-structured Data | | 0 | | Irwin King, Yifei Zhang, Ziqiao Meng, Zixing Song | |
| 406 | | Actionable Insights in Urban Multivariate Time-series | | 0 | | Anika Tabassum, B. Aditya Prakash, Supriya Chinthavali, Varisara Tansakul | |
| 407 | | Single Node Injection Attack against Graph Neural Networks | | 0 | | Huawei Shen, Junjie Huang, Qi Cao, Shuchang Tao, Xueqi Cheng, Yunfan Wu | |
| 408 | | Self-supervised Representation Learning on Dynamic Graphs | | 0 | | Leilei Shi, Liang Zhu, Ruofan Wu, Sheng Tian, Tao Xiong | |
| 409 | | On Influencing the Influential: Disparity Seeding | | 0 | | DeNian Yang, HsiWen Chen, Lydia Yiyu Chen, TingWei Li, YaWen Teng, YvonneAnne Pignolet | |
| 410 | | Attention Based Dynamic Graph Learning Framework for Asset Pricing | | 0 | | Ajim Uddin, Dantong Yu, Xinyuan Tao | |
| 411 | | Recipe Representation Learning with Networks | | 0 | | Chuxu Zhang, Nitesh V. Chawla, Ronald A. Metoyer, Yijun Tian | |
| 412 | | Neural Information Diffusion Prediction with Topic-Aware Attention Network | | 0 | | Cheng Yang, Chuan Shi, Hao Wang | |
| 413 | | Fast k-NN Graph Construction by GPU based NN-Descent | | 0 | | Hui Wang, Jianye Yang, WanLei Zhao, Xiangxiang Zeng | |
| 414 | | Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism | | 0 | | Jiashu Zhao, Kai Xiong, Li Wang, Peipei Li, Rui Lin | |
| 415 | | REFORM: Error-Aware Few-Shot Knowledge Graph Completion | | 0 | | Chen Chen, Jundong Li, Liang Wu, Song Wang, Xiao Huang | |
| 416 | | Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis | | 0 | | Caidie Huang, Jinfang Cai, Liangyu Chen, Xinping Wang | |
| 417 | | Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation | | 0 | | Daling Wang, Ling Chen, Shi Feng, Wei Gao, Weichao Wang | |
| 418 | | Improving Chinese Character Representation with Formation Graph Attention Network | | 0 | | Hao Niu, Jingwen Yue, Philip S. Yu, Xiaosu Wang, Yangyong Zhu, Yun Xiong | |
| 419 | | Tree Decomposed Graph Neural Network | | 0 | | Tyler Derr, Yu Wang | |
| 420 | | An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks | | 0 | | Boyuan Feng, Xueqiao Peng, Yufei Ding, Yuke Wang | |
| 421 | | Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction | | 0 | | KyoungSook Kim, Renhe Jiang, Ryosuke Shibasaki, Xin Liu, Xuan Song, Zekun Cai, Zhaonan Wang, Zipei Fan | |
| 422 | | Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing | | 0 | | Kai Zheng, Xuanhao Chen, Yan Zhao, Ziwei Wang | |
| 423 | | Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks | | 0 | | Maribel Acosta, Tobias Weller | |
| 424 | | DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control | | 0 | | Dan Wu, Jia Wu, Libing Wu, Min Wang | |
| 425 | | iMap: Incremental Node Mapping between Large Graphs Using GNN | | 0 | | Bin Cui, Jun Gao, Yikuan Xia | |
| 426 | | WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model | | 0 | | Chengsong Huang, Chenhao Xie, Jiaqing Liang, Wenhao Huang, Yanghua Xiao | |
| 427 | | PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning | | 0 | | Han Su, Kai Zeng, Kai Zheng, Shuncheng Liu, Xu Chen, Zhi Xu, Ziniu Wu | |
| 428 | | Topic-aware Heterogeneous Graph Neural Network for Link Prediction | | 0 | | Cheng Yang, Chuan Shi, Luhao Zhang, Maodi Hu, Siyong Xu, Tianchi Yang, Yuan Fang, Yuxin Guo | |
| 429 | | Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx | | 0 | | Han Yang, Junfei Liu | |
| 430 | | An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment | | 0 | | Chao Ma, Chuan Qin, Hengshu Zhu, Hui Xiong, Jingshuai Zhang, Kaichun Yao, Yi Du | |
| 431 | | Task Allocation with Geographic Partition in Spatial Crowdsourcing | | 0 | | Guanyu Ye, Kai Zheng, Xuanhao Chen, Yan Zhao | |
| 432 | | Robust Dynamic Clustering for Temporal Networks | | 0 | | Chenlong Hu, Hidetaka Kamigaito, Jingyi You, Kotaro Funakoshi, Manabu Okumura | |
| 433 | | AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation | | 0 | | Pedro A. Szekely, Srivatsan Ravi, Tanmay Ghai, Yixiang Yao | |
| 434 | | Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction | | 0 | | Daizong Ding, Fuli Feng, Mi Zhang, Xiaoyu You, Yuanmin Huang | |
| 435 | | Reinforced Active Entity Alignment | | 0 | | Changjun Fan, Jiuyang Tang, Weixin Zeng, Xiang Zhao | |
| 436 | | Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks | | 0 | | Chongjun Wang, Hualei Yu, Jinliang Yuan, Junyuan Xie, Meng Cao, Ming Xu | |
| 437 | | Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information | | 0 | | Han Zhang, Wei Wang, WonYong Shin, Xin Cao, Yixiang Fang, Yu Hao | |
| 438 | | RxNet: Rx-refill Graph Neural Network for Overprescribing Detection | | 0 | | AiTe Kuo, Chuxu Zhang, Erin L. Winstanley, Jianan Zhao, Jianfei Zhang, Qianlong Wen, Yanfang Ye | |
| 439 | | Fraud Detection under Multi-Sourced Extremely Noisy Annotations | | 0 | | Bo Han, Chen Gong, Chuang Zhang, Jin Hong, Qizhou Wang, Tengfei Liu, Xun Lu | |
| 440 | | Multi-Factors Aware Dual-Attentional Knowledge Tracing | | 0 | | Changchuan Yin, Chunhong Zhang, Feng Pan, Moyu Zhang, Xinning Zhu, Yang Ji | |
| 441 | | Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm | | 0 | | Bin Gu, Cheng Deng, Heng Huang, Qingsong Zhang, Zhiyuan Dang | |
| 442 | | Adversarial Separation Network for Cross-Network Node Classification | | 0 | | Chongjun Wang, Rongbiao Xie, Xiaowen Zhang, Yuntao Du | |
| 443 | | CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph | | 0 | | Caihua Shan, Dongsheng Li, Kan Ren, Yangyong Zhu, Yao Zhang, Yun Xiong | |
| 444 | | HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources | | 0 | | Chengguang Tang, Chengyu Wang, Jun Huang, Minghui Qiu, Peng Li, Taolin Zhang, Xiaofeng He, Yang Li, Zerui Cai | |
| 445 | | When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations | | 0 | | An Liu, Junhua Fang, Lei Zhao, Pengpeng Zhao, Shangfei Zheng, Wei Chen | |
| 446 | | k-sums Clustering: A Stochastic Optimization Approach | | 0 | | ChongWah Ngo, RunQing Chen, ShiYing Lan, WanLei Zhao | |
| 447 | | Action Sequence Augmentation for Early Graph-based Anomaly Detection | | 0 | | Bo Ni, Meng Jiang, Neil Shah, Tong Zhao, Wenhao Yu, Zhichun Guo | |
| 448 | | Relation Network and Causal Reasoning for Image Captioning | | 0 | | Dongming Zhou, Jing Yang | |
| 449 | | Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks | | 0 | | Bryan Hooi, Huan Xu, Jiashi Feng, Kaixin Wang, Kuangqi Zhou, Wee Sun Lee, Yanfei Dong | |
| 450 | | #StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs | | 0 | | JyunYu Jiang, Wei Wang, Xiusi Chen, Yichao Zhou | |
| 451 | | Summarizing Long-Form Document with Rich Discourse Information | | 0 | | Jianfeng Qu, Tianyu Zhu, Wen Hua, Xiaofang Zhou | |
| 452 | | Discovering Time-invariant Causal Structure from Temporal Data | | 0 | | Lu Zhang, Saima Absar | |
| 453 | | Goal-Directed Extractive Summarization of Financial Reports | | 0 | | Manish Gupta, S. Arunachalam, Vasudeva Varma, Vivek Anand, Yash Agrawal | |
| 454 | | How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach | | 0 | | François Role, Mira Ait Saada, Mohamed Nadif | |
| 455 | | Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps | | 0 | | Avi Caciularu, Edan Hauon, Itzik Malkiel, Noam Koenigstein, Omri Armstrong, Oren Barkan, Ori Katz | |
| 456 | | Boosting Few-shot Abstractive Summarization with Auxiliary Tasks | | 0 | | Hanfang Yang, Haoyuan Li, Qiwei Bi | |
| 457 | | Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction | | 0 | | Jun Zhao, Kang Liu, Pengfei Cao, Wei Bi, Xinyu Zuo, Yubo Chen | |
| 458 | | Constructing Noise Free Economic Policy Uncertainty Index | | 0 | | ChungChi Chen, HenHsen Huang, HsinHsi Chen, YuLieh Huang | |
| 459 | | Mitigating Deep Double Descent by Concatenating Inputs | | 0 | | Anastasios Kyrillidis, John Chen, Qihan Wang | |
| 460 | | NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text | | 0 | | ChungChi Chen, HenHsen Huang, HsinHsi Chen | |
| 461 | | Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection | | 0 | | Lingwei Chen, Yanfang Ye, Yujie Fan | |
| 462 | | Adversarial Learning for Incentive Optimization in Mobile Payment Marketing | | 0 | | Jinjie Gu, Li Yu, Lihong Gu, Sen Li, Xiaodong Zeng, Xuanying Chen, Yize Tan, Zhining Liu | |
| 463 | | Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection | | 0 | | Hyewon Choi, Youngjoong Ko | |
| 464 | | Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting | | 0 | | Jiandong Xie, Kai Zheng, Yue Cui | |
| 465 | | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning | | 0 | | Huan Liu, Kaize Ding, Xuan Shan | |
| 466 | | Simulated Annealing for Emotional Dialogue Systems | | 0 | | Chengzhang Dong, Chenyang Huang, Lili Mou, Osmar Zaïane | |
| 467 | | FairER: Entity Resolution With Fairness Constraints | | 0 | | Evaggelia Pitoura, Kostas Stefanidis, Vasilis Efthymiou, Vassilis Christophides | |
| 468 | | EasyFlinkCEP: Big Event Data Analytics for Everyone | | 0 | | Antonios Deligiannakis, Antonios Kontaxakis, Eleni Kougioumtzi, Nikos Giatrakos, Yannis Kotidis | |
| 469 | | Towards Robustness to Label Noise in Text Classification via Noise Modeling | | 0 | | Goutham Ramakrishnan, Siddhant Garg, Varun Thumbe | |
| 470 | | Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones | | 0 | | Hongxia Jin, Kalpa Gunaratna, Sandeep Nama, Vijay Srinivasan | |
| 471 | | Counterfactual Generative Smoothing for Imbalanced Natural Language Classification | | 0 | | Hojae Han, JinWoo Park, Myeongho Jeong, Seungtaek Choi, Seungwon Hwang | |
| 472 | | Region Invariant Normalizing Flows for Mobility Transfer | | 0 | | Srikanta Bedathur, Vinayak Gupta | |
| 473 | | Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling | | 0 | | Arezoo Hatefi, Frank Drewes, Monowar H. Bhuyan, XuanSon Vu | |
| 474 | | Automatic Error Correction Using the Wikipedia Page Revision History | | 0 | | Md. Kamrul Hasan, Mohammad Mahdavi | |
| 475 | | The Effect of News Article Quality on Ad Consumption | | 0 | | Kojiro Iizuka, Makoto P. Kato, Yoshifumi Seki | |
| 476 | | Robust Adaptive-weighting Multi-view Classification | | 0 | | Bingbing Jiang, Junhao Xiang, Libin Hong, Weiguo Sheng, Wenda He, Xingyu Wu | |
| 477 | | CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese | | 0 | | Guozheng Rao, Xin Wang, Yuxin Shen, Zijing Ji | |
| 478 | | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning | | 0 | | Lianhua Chi, Ming Jin, Shirui Pan, Yixin Liu, Yu Zheng, YuanFang Li | |
| 479 | | RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction | | 0 | | Kyomin Jung, Minwoo Lee, Nakyeong Yang, Taegwan Kang | |
| 480 | | Question Answering using Web Lists | | 0 | | Adrià de Gispert, Anoop R. Katti, Hagen Fürstenau, Kai Hui | |
| 481 | | UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion | | 0 | | Eduard Pujol, Ernest Teniente, Sergi Curto, Toon Koppelaars, Xavier Oriol | |
| 482 | | Asterisk-Shaped Features for Tabular Data | | 0 | | Hiroyuki Toda, Shuhei Yamamoto, Shunichi Seko, Yoshiaki Takimoto, Yuki Kurauchi | |
| 483 | | Boosting Graph Alignment Algorithms | | 0 | | Alexander Frederiksen Kyster, Davide Mottin, Judith Hermanns, Panagiotis Karras, Simon Daugaard Nielsen | |
| 484 | | Attention Based Subgraph Classification for Link Prediction by Network Re-weighting | | 0 | | Christine Nardini, Darong Lai, Junyao Huang, Weiwei Wu, Zheyi Liu, Zhihong Chong | |
| 485 | | Capsule Graph Neural Networks with EM Routing | | 0 | | Jing Zhang, Yu Lei | |
| 486 | | AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs | | 0 | | Dongyue Li, Li Jiang, Lun Du, Tao Yang, Zhezhi He | |
| 487 | | Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency | | 0 | | Chen Li, Hao Peng, Jia Wu, Jianxin Li, Lichao Sun, Lihong Wang, Philip S. Yu, Xutan Peng | |
| 488 | | Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network | | 0 | | Daling Wang, Shafiq R. Joty, Shi Feng, Wei Gao, Xiangju Li | |
| 489 | | Span-level Emotion Cause Analysis with Neural Sequence Tagging | | 0 | | Daling Wang, Shafiq R. Joty, Shi Feng, Wei Gao, Xiangju Li | |
| 490 | | GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation | | 0 | | Haiqing Chen, Ji Zhang, Shaobo Cui, Wei Zhou, Xuming Lin, Zhongzhou Zhao | |
| 491 | | Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning | | 0 | | Bin Liang, Lin Gui, Min Yang, Ruifeng Xu, Wangda Luo, Xiang Li, Xiaoqi Yu | |
| 492 | | Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic | | 0 | | ChungYi Lin, HungTing Su, ShenLung Tung, Winston H. Hsu | |
| 493 | | Deep Active Learning for Text Classification with Diverse Interpretations | | 0 | | Qiang Liu, Shu Wu, Yanqiao Zhu, Yufeng Zhang, Zhaocheng Liu | |
| 494 | | Fine-Grained Element Identification in Complaint Text of Internet Fraud | | 0 | | Heng Ye, Jingchao Fu, Lei Chen, Liaosa Xu, Siyuan Wang, Tong Liu, Weiqiang Wang, Xuanjing Huang, Yaqi Liu, Zhongyu Wei | |
| 495 | | Age Inference Using A Hierarchical Attention Neural Network | | 0 | | Lisa Singh, Yaguang Liu | |
| 496 | | FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update | | 0 | | Jianlei Yang, Junyu Luo, Weisheng Zhao, Xin Guo, Xucheng Ye | |
| 497 | | Operation Diagnosis on Procedure Graph: The Task and Dataset | | 0 | | Qi Zhu, Qin Chen, Ruipu Luo, Shuang Tang, Siyuan Wang, Weijian Sun, Zhongyu Wei | |
| 498 | | Smoothing with Fake Label | | 0 | | Xiaoxi Mao, Yadong Xi, Ziyang Luo | |
| 499 | | GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction | | 0 | | Faisal Kamiran, Hongzhi Yin, Masroor Hussain, Sameen Mansha, Syed Fawad Hussain, Tayyab Khalid | |
| 500 | | Neuron Campaign for Initialization Guided by Information Bottleneck Theory | | 0 | | Dongmei Zhang, Haitao Mao, Lun Du, Qiang Fu, Shi Han, Xu Chen | |
| 501 | | Lightweight Visual Question Answering using Scene Graphs | | 0 | | Bowen Li, Carl Yang, Eleonora Giunchiglia, Maxime Kayser, Ramraj Chandradevan, Sai Vidyaranya Nuthalapati, Thomas Lukasiewicz | |
| 502 | | Discovery of Temporal Graph Functional Dependencies | | 0 | | Fei Chiang, Levin Noronha | |
| 503 | | Training Neural Networks with Random Noise Images for Adversarial Robustness | | 0 | | JiYoung Park, Jiuyong Li, Jixue Liu, Lin Liu | |
| 504 | | Accelerating Variant Calling on Human Genomes Using a Commodity Cluster | | 0 | | Arun Zachariah, Deepthi S. Rao, Eduardo J. Simões, Peter J. Tonellato, Praveen Rao, Wesley C. Warren | |
| 505 | | Knowledge-Aware Neural Networks for Medical Forum Question Classification | | 0 | | Aishik Mandal, Anandhavelu Natarajan, Gunjan Balde, Megha Khosla, Niloy Ganguly, Prakhar Sharma, Shamik Sural, Soumyadeep Roy, Sudip Chakraborty | |
| 506 | | Location-Aware Named Entity Disambiguation | | 0 | | Davood Rafiei, Maithrreye Srinivasan | |
| 507 | | Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation | | 0 | | Dongcheol Son, Youngjoong Ko | |
| 508 | | Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization | | 0 | | Manjira Sinha, Tirthankar Dasgupta | |
| 509 | | AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting | | 0 | | Hongyang Su, Xiaolong Wang, Yang Qin | |
| 510 | | Talking Face Generation Based on Information Bottleneck and Complementary Representations | | 0 | | Jie Tang, Minglei Li, Yiling Wu, Zhu Wang | |
| 511 | | SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary | | 0 | | Guoping Hu, Jiaan Wang, Jianfeng Qu, Qiang Yang, Qingsheng Liu, Zhigang Chen, Zhixu Li | |
| 512 | | Label-informed Graph Structure Learning for Node Classification | | 0 | | Fenyu Hu, Liang Wang, Liping Wang, Shu Wu | |
| 513 | | Modeling Inter-Claim Interactions for Verifying Multiple Claims | | 0 | | Shuai Wang, Wenji Mao | |
| 514 | | Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs | | 0 | | Heiko Paulheim, Tobias Weller | |
| 515 | | Structural Deep Incomplete Multi-view Clustering Network | | 0 | | Bob Zhang, Jie Wen, Lunke Fei, Yong Xu, Zheng Zhang, Zhihao Wu | |
| 516 | | DESTINE: Dense Subgraph Detection on Multi-Layered Networks | | 0 | | Hanghang Tong, Jiejun Xu, Liang Xiong, Si Zhang, Yinglong Xia, Zhe Xu | |
| 517 | | Fairness-Aware Unsupervised Feature Selection | | 0 | | Chen Chen, Hongfu Liu, Jundong Li, Xiaoying Xing | |
| 518 | | Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder | | 0 | | Hang Yang, Jun Zhao, Kang Liu, Taifeng Wang, Yubo Chen | |
| 519 | | GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution | | 0 | | Liangxun Li, Yonghao Gu | |
| 520 | | Aspect Sentiment Triplet Extraction Using Reinforcement Learning | | 0 | | Navonil Majumder, Samson Yu Bai Jian, Soujanya Poria, Tapas Nayak | |
| 521 | | Storing Multi-model Data in RDBMSs based on Reinforcement Learning | | 0 | | Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan | |
| 522 | | Multimodal Graph Meta Contrastive Learning | | 0 | | Donglin Wang, Feng Zhao | |
| 523 | | Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic | | 0 | | Lin Gui, Wenjia Zhang, Yulan He | |
| 524 | | Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging | | 0 | | Guangwei Li, Haifeng Tang, Kenny Q. Zhu, Mengyue Wu, Zelin Zhou, Zhiling Zhang | |
| 525 | | DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder | | 0 | | Meng Chen, Tao Guo, Zhenyu Zhang | |
| 526 | | Subtractive Aggregation for Attributed Network Anomaly Detection | | 0 | | FuLai Chung, Qiaoyu Tan, Shuang Zhou, Xiao Huang, Zhiming Xu | |
| 527 | | Tabular Data Concept Type Detection Using Star-Transformers | | 0 | | Christos Christodoulopoulos, Siffi Singh, Yiwei Zhou | |
| 528 | | Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification | | 0 | | Daniel L. Jiang, Inderjit S. Dhillon, Kedarnath Kolluri, Sujay Sanghavi, Tavor Z. Baharav | |
| 529 | | Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture | | 0 | | Galia Nordon, Guy Barshatski, Kira Radinsky | |
| 530 | | ETA Prediction with Graph Neural Networks in Google Maps | | 0 | | Alvaro SanchezGonzalez, Ang Li, Austin DerrowPinion, Brett Wiltshire, David Wong, Jennifer She, Luis Perez, Marc Nunkesser, Oliver Lange, Petar Velickovic, Peter W. Battaglia, Seongjae Lee, Todd Hester, Vishal Gupta, Xueying Guo, Yujia Li, Zhongwen Xu | |
| 531 | | Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs | | 0 | | Chen Luo, Ding Li, Haifeng Chen, Jiaping Gui, Jingchao Ni, Lei Cai, Zhengzhang Chen | |
| 532 | | AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining | | 0 | | Min Du, Wenjun Hu, William Hewlett | |
| 533 | | Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach | | 0 | | Djellel Eddine Difallah, Kosta Harlan, Marshall Miller, Martin Gerlach, Rita Ho | |
| 534 | | Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach | | 0 | | Bin Liu, Chuanbo Hu, Minglei Yin, Xin Li, Yanfang Ye | |
| 535 | | ARGH!: Automated Rumor Generation Hub | | 0 | | Hyoungshick Kim, Jin B. Hong, Joshua Goh, Larry Huynh, Thai Nguyen | |
| 536 | | Learning to Bundle Proactively for On-Demand Meal Delivery | | 0 | | Canhua Zhao, Chang Ye, Chengbo Li, Guangyuan Fu, Lin Zhu, Longzhi Du, Pei Lee, Tianlun Ma | |
| 537 | | Causal-Aware Generative Imputation for Automated Underwriting | | 0 | | Dingxian Wang, Guandong Xu, Qian Li, Shaowu Liu, Tri Dung Duong, Zhichao Wang | |
| 538 | | Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB | | 0 | | Jianchuan Li, Kuankuan Guo, Ming Zhao, Peiquan Jin, Yi Wang, Yuanjin Lin | |
| 539 | | Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization | | 0 | | Jia Zeng, Jun Wang, Mingxuan Yuan, Xihan Li, Xiongwei Han, Zhishuo Zhou | |
| 540 | | Unsupervised Categorical Representation Learning for Package Arrival Time Prediction | | 0 | | Chunyan Miao, Jinglong Wang, Xiaoqing Wang, Xingyu Wu, Yang Li, Yong Liu, Yuming Deng | |
| 541 | | EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications | | 0 | | Ang Wang, Cen Chen, Chengyu Wang, Deng Cai, Haojie Pan, Jun Huang, Minghui Qiu, Peng Li, Wei Lin, Xianyan Jia, Yaliang Li | |
| 542 | | GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps | | 0 | | Bing Qin, Chunyuan Yuan, Haifeng Wang, Jizhou Huang, Miao Fan, Ming Liu, Yibo Sun | |
| 543 | | WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia | | 0 | | Diego SáezTrumper, Mykola Trokhymovych | |
| 544 | | Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus | | 0 | | ChengKuan Chen, ShouDe Lin, YunDa Tsai | |
| 545 | | AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening | | 0 | | Elke A. Rundensteiner, Ermal Toto, M. L. Tlachac | |
| 546 | | SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion | | 0 | | Alfredo Alba, Anna Lisa Gentile, Chad DeLuca, Daniel Gruhl, Ismini Lourentzou, Muntasir Wahed, Petar Ristoski, Steve Welch | |
| 547 | | Influence Maximization in Multi-Relational Social Networks | | 0 | | Haili Yang, Leyu Lin, Shuting Guo, Wei Wang, Xu Zhang, Yuanfu Lu, Yuanhang Zou | |
| 548 | | 'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds | | 0 | | Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zhe Zhang, Zihao Wang, Zujie Wen | |
| 549 | | Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach | | 0 | | Guangjian Tian, Qiang Ye, Shuang Wu, Siwei Rao, Xingyue Quan, Zhen Qin, Zhen Wang | |
| 550 | | Crawler Detection in Location-Based Services Using Attributed Action Net | | 0 | | Anhui Wang, Fei Zhao, Haishuai Wang, Kang Li, Peng Zhang, Wei Xia | |
| 551 | | Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies | | 0 | | Allie Cheung, Guoxiang Li, Jianfei Zhang, Lukas Petrikas, Matthew Tam, Ping Luo, Rongyu Cao, Xuanqiang Liu, Yan Pang, Yangbin Wang, Yixuan Cao, Zhengqi Xu | |
| 552 | | CADRE: A Cloud-Based Data Service for Big Bibliographic Data | | 0 | | Alan Walsh, Benjamin Serrette, Chathuri Peli Kankanamalage, Dimitar Nikolov, Esen Tuna, Guangchen Ruan, James R. McCombs, Matthew Hutchinson, Valentin Pentchev, Xiaoran Yan | |
| 553 | | CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms | | 0 | | Hengbo Liu, Huajie Qian, Junwei Jiang, Leili Xu, Liang Sun, Lunting Fan, Min Ke, Qingsong Wen, Yingying Zhang, Zhengxiong Guan | |
| 554 | | HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting | | 0 | | Jiang Bian, Shun Zheng, TieYan Liu, Wei Cao, Zhifeng Gao | |
| 555 | | MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries | | 0 | | Bhaskar Mitra, Ebrahim Bagheri, Negar Arabzadeh | |
| 556 | | VidLife: A Dataset for Life Event Extraction from Videos | | 0 | | AnZi Yen, HenHsen Huang, HsinHsi Chen, TaiTe Chu, WeiHong Ang | |
| 557 | | GAKG: A Multimodal Geoscience Academic Knowledge Graph | | 0 | | Cheng Deng, Chenghu Zhou, Chong Zhang, Haisong Zhang, Hui Xu, Jingyao Tang, Luoyi Fu, Weinan Zhang, Xinbing Wang, Yuting Jia | |
| 558 | | WorldKG: A World-Scale Geographic Knowledge Graph | | 0 | | Alishiba Dsouza, Elena Demidova, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk | |
| 559 | | Evaluating Graph Vulnerability and Robustness using TIGER | | 0 | | Diyi Yang, Duen Horng Chau, Hanghang Tong, Scott Freitas, Srijan Kumar | |
| 560 | | LC: A Flexible, Extensible Open-Source Toolkit for Model Compression | | 0 | | Miguel Á. CarreiraPerpiñán, Yerlan Idelbayev | |
| 561 | | DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | | 0 | | Du Yin, Hangchen Liu, Jiewen Deng, Jinliang Deng, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Yizhuo Wang, Zekun Cai, Zhaonan Wang | |
| 562 | | QuaPy: A Python-Based Framework for Quantification | | 0 | | Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani | |
| 563 | | Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean | | 0 | | Anarosa A. F. Brandão, André F. A. Paschoal, André Seidel Oliveira, Anna H. R. Costa, Flávio Nakasato Cação, Fábio Gagliardi Cozman, Karina Valdivia Delgado, Marcos Menon José, Paulo Pirozelli, Sarajane M. Peres, Valdinei Freire | |
| 564 | | VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law | | 0 | | Evangelos Kanoulas, Julien Rossi, Svitlana Vakulenko | |
| 565 | | SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles | | 0 | | David Schindler, Felix Bensmann, Frank Krüger, Stefan Dietze | |
| 566 | | TrUMAn: Trope Understanding in Movies and Animations | | 0 | | BingChen Tsai, HungTing Su, KeJyun Wang, PoWei Shen, WenFeng Cheng, Winston H. Hsu | |
| 567 | | LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature | | 0 | | Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang | |
| 568 | | MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs | | 0 | | Bin Xu, Gan Luo, Jie Tang, Jie Zhou, Jifan Yu, Juanzi Li, Kai Sun, Kaisheng Zeng, Lei Hou, Maosong Sun, Peng Li, Qingyang Zhong, Shulin Cao, Wei Xu, Wenzheng Feng, Yankai Lin, Yiming Mao, Yuquan Wang, Zijun Yao | |
| 569 | | FairCORELS, an Open-Source Library for Learning Fair Rule Lists | | 0 | | Julien Ferry, MarieJosé Huguet, Mohamed Siala, Sébastien Gambs, Ulrich Aïvodji | |
| 570 | | MVQAS: A Medical Visual Question Answering System | | 0 | | Haoyue Bai, Xiaoli Wang, Xiaoyan Shan, Yefan Huang | |
| 571 | | Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference | | 0 | | Aoying Zhou, Chen Xu, Nifei Bi, Xiansen Chen | |
| 572 | | DashBot: An ML-Guided Dashboard Generation System | | 0 | | Marta Soare, Nassim Bouarour, Radu Ciucanu, Sandrine Da Col, Sihem AmerYahia | |
| 573 | | WhatTheWikiFact: Fact-Checking Claims Against Wikipedia | | 0 | | Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov | |
| 574 | | OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning | | 0 | | Ebrahim Bagheri, Jason Adelman, Kuan Feng, Morteza Zihayat, Roohollah Etemadi | |
| 575 | | An RDF Data Management System for Conflict Casualties | | 0 | | Fatima K. Abu Salem, Lynn Wahab, Mark Nourallah, Shady Elbassuoni, Yad Fatah | |
| 576 | | PyTFL: A Python-based Neural Team Formation Toolkit | | 0 | | Aabid Mitha, Ebrahim Bagheri, Hossein Fani, Jaroslaw Szlichta, Mehdi Kargar, Radin Hamidi Rad | |
| 577 | | HAO Unity: A Graph-based System for Unifying Heterogeneous Data | | 0 | | Fei Jie, Qiangwei Bai, Xindong Wu, Yanxiang Huang | |
| 578 | | Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food | | 0 | | Huizhi Liang, Xiao Li, Zehao Liu | |
| 579 | | IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks | | 0 | | Feng Luo, Xiaoli Wang, Yue Zhang | |
| 580 | | DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs | | 0 | | Wenjie Zhang, Wenjie Zhao, Xuemin Lin, Ying Zhang, You Peng | |
| 581 | | RW-Team: Robust Team Formation using Random Walk | | 0 | | Heidar Davoudi, Jaroslaw Szlichta, John Nemec, Lukasz Golab, Mehdi Kargar, Morteza Zihayat, Piotr Mierzejewski, Yuliya Lytvyn | |
| 582 | | A Sentiment and Style Controllable Approach for Chinese Poetry Generation | | 0 | | Jie Gao, Minghao Wang, Peng Wang, Tong Shao, Yizhan Shao | |
| 583 | | A Cohesive Structure Based Bipartite Graph Analytics System | | 0 | | Kai Wang, Lu Qin, Wenjie Zhang, Xuemin Lin, Yiheng Hu, Ying Zhang | |
| 584 | | A Chinese Knowledge Base Question Answering System | | 0 | | Jinling Jiang, Wenjian Zhang, Xiaona Xue, Xindong Wu, Yanxiang Huang | |
| 585 | | FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop | | 0 | | Avishek Anand, Koustav Rudra, Zijian Zhang | |
| 586 | | SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data | | 0 | | Hui Li, Jiangtao Cui, Kechun Zhao, Zheng Gong | |
| 587 | | Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond | | 0 | | Alessandro Checco, Djellel Eddine Difallah | |
| 588 | | Fair Graph Mining | | 0 | | Hanghang Tong, Jian Kang | |
| 589 | | AutoML: From Methodology to Application | | 0 | | Bolin Ding, Ce Zhang, Kai Zeng, Yaliang Li, Yuexiang Xie, Zhen Wang | |
| 590 | | IR From Bag-of-words to BERT and Beyond through Practical Experiments | | 0 | | Craig Macdonald, Nicola Tonellotto, Sean MacAvaney | |
| 591 | | Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications | | 0 | | Wenjie Ruan, Xiaowei Huang, Xinping Yi | |
| 592 | | Learning to Quantify: Methods and Applications (LQ 2021) | | 0 | | Alejandro Moreo, Fabrizio Sebastiani, Juan José del Coz, Pablo González | |
| 593 | | Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond | | 0 | | Antonio J. Jara, Arijit Ukil, John R. Farserotu, Leandro Marín | |