| 1 | | Embedding-based Retrieval in Facebook Search | | 0 | | Ashish Sharma, David Zhang, Giuseppe Ottaviano, Janani Padmanabhan, JuiTing Huang, Li Xia, Linjun Yang, Philip Pronin, Shuying Sun | |
| 2 | | Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps | | 0 | | An Zhuo, Haifeng Wang, Jizhou Huang, Miao Fan, Ying Li | |
| 3 | | Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach | | 0 | | Di Yin, Hongbo Deng, Jiajun Chen, Jiwei Tan, Shujian Huang, Zhe Zhang | |
| 4 | | GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases | | 0 | | Yizhou Sun, Yunsheng Bai, Zongyue Qin | |
| 5 | | PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest | | 0 | | Aditya Pal, Bo Zhao, Chantat Eksombatchai, Charles Rosenberg, Jure Leskovec, Yitong Zhou | |
| 6 | | Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective | | 0 | | Huan Xu, Mingdong Ou, Nan Li, Yifei Zhao, YuHang Zhou | |
| 7 | | Debiasing Grid-based Product Search in E-commerce | | 0 | | Adam Henderson, Huan Liu, Liangjie Hong, Ruocheng Guo, Xiaoting Zhao | |
| 8 | | Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion | | 0 | | JiRong Wen, Jingsong Yu, Kun Zhou, Shuqing Bian, Wayne Xin Zhao, Yuanhang Zhou | |
| 9 | | Evaluating Conversational Recommender Systems via User Simulation | | 0 | | Krisztian Balog, Shuo Zhang | |
| 10 | | TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding | | 0 | | Haoyan Xu, Weiping Song, Yizhou Sun, Zhicheng Ren, Zhiping Xiao | |
| 11 | | Privileged Features Distillation at Taobao Recommendations | | 0 | | Changhua Pei, Chen Xu, Fei Sun, Hanxiao Sun, Jian Wu, Jinyang Gao, Junfeng Ge, Quan Li, Wenwu Ou, Xiaoyong Yang | |
| 12 | | Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems | | 0 | | Dheevatsa Mudigere, HaoJun Michael Shi, Jiyan Yang, Maxim Naumov | |
| 13 | | Disentangled Self-Supervision in Sequential Recommenders | | 0 | | Chang Zhou, Hongxia Yang, Jianxin Ma, Peng Cui, Wenwu Zhu, Xin Wang | |
| 14 | | Personalized PageRank to a Target Node, Revisited | | 0 | | Hanzhi Wang, Junhao Gan, Sibo Wang, Zengfeng Huang, Zhewei Wei | |
| 15 | | Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction | | 0 | | Dehua Cheng, Hanning Zhou, Jiyan Yang, Qingquan Song, Xia Hu, Yuandong Tian | |
| 16 | | The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments | | 0 | | Reza Zafarani, Shengmin Jin | |
| 17 | | Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions | | 0 | | Benjamin A. Carterette, Brian Brost, James McInerney, Praveen Chandar, Rishabh Mehrotra | |
| 18 | | Geography-Aware Sequential Location Recommendation | | 0 | | Defu Lian, Enhong Chen, Xing Xie, Yong Ge, Yongji Wu | |
| 19 | | Interactive Path Reasoning on Graph for Conversational Recommendation | | 0 | | Gangyi Zhang, Liang Chen, TatSeng Chua, Wenqiang Lei, Xiang Wang, Xiangnan He, Yisong Miao | |
| 20 | | M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems | | 0 | | Guli Lin, Keping Yang, Menghan Wang, XiaoMing Wu, Yujie Lin | |
| 21 | | Neural Input Search for Large Scale Recommendation Models | | 0 | | Cong Li, Jay K. Adams, Jiahui Liu, Manas R. Joglekar, Mei Chen, Pranav Khaitan, Quoc V. Le, Taibai Xu, Xiaoming Wang | |
| 22 | | Scaling Graph Neural Networks with Approximate PageRank | | 0 | | Aleksandar Bojchevski, Amol Kapoor, Benedek Rózemberczki, Bryan Perozzi, Johannes Klicpera, Martin Blais, Michal Lukasik, Stephan Günnemann | |
| 23 | | GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce | | 0 | | Edward Pizzi, Fedor Borisyuk, Karun Singh, M. Henning, Omkar Parkhi, Sami Alsheikh, Sean Bell, Yina Tang, Yiqun Liu | |
| 24 | | AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction | | 0 | | Bin Liu, Chenxu Zhu, Guilin Li, Jincai Lai, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu, Zhenguo Li | |
| 25 | | Personalized Image Retrieval with Sparse Graph Representation Learning | | 0 | | Ajinkya Kale, Handong Zhao, Vipin Kumar, Xiaowei Jia, Zhe Lin | |
| 26 | | Improving Deep Learning for Airbnb Search | | 0 | | Aamir Mansawala, Bradley C. Turnbull, Junshuo Liao, Lanbo Zhang, Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Shulin Yang, Tyler Sax | |
| 27 | | Managing Diversity in Airbnb Search | | 0 | | Aamir Manaswala, Bradley C. Turnbull, Lanbo Zhang, Lynn Yang, Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Qing Zhang, Thomas Legrand, Tyler Sax | |
| 28 | | TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook | | 0 | | Aude Hofleitner, Nima Noorshams, Saurabh Verma | |
| 29 | | A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce | | 0 | | Bofang Li, Chenliang Li, Haochuan Sun, Hongbo Deng, Rong Xiao, Xichuan Niu, Zhenzhong Chen | |
| 30 | | Deep Learning for Search and Recommender Systems in Practice | | 0 | | Bo Long, Huiji Gao, Jun Jia, Jun Shi, Mingzhou Zhou, Sandeep Kumar Jha, Sida Wang, Weiwei Guo, Xiaowei Liu, Zhoutong Fu | |
| 31 | | In Search for a Cure: Recommendation With Knowledge Graph on CORD-19 | | 0 | | Andreas Argyriou, ChiehHan Wu, Iris Shen, Jianxun Lian, Le Zhang, Miguel GonzálezFierro, Tao Wu | |
| 32 | | Mining Implicit Relevance Feedback from User Behavior for Web Question Answering | | 0 | | Daxin Jiang, Feixiang Cheng, Jian Pei, Linjun Shou, Ming Gong, Shining Bo | |
| 33 | | Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling | | 0 | | Chenghao Liu, Jianling Sun, Jianwen Yin, Steven C. H. Hoi, Weiqing Wang | |
| 34 | | High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder | | 0 | | Eleanor Gilbert Rieffel, Max Wilson, Nicholas Gao, Ramakrishna R. Nemani, Thomas Vandal, Walter Vinci | |
| 35 | | On Sampled Metrics for Item Recommendation | | 0 | | Steffen Rendle, Walid Krichene | |
| 36 | | Multitask Mixture of Sequential Experts for User Activity Streams | | 0 | | Donald Metzler, Jingzheng Qin, Yicheng Cheng, Zhe Chen, Zhe Zhao, Zhen Qin | |
| 37 | | Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs | | 0 | | Anitha Kannan, Clara H. McCreery, Manish Chablani, Namit Katariya, Xavier Amatriain | |
| 38 | | Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach | | 0 | | Bhargav Kanagal, Bin Shu, D. Sivakumar, Jon Elsas, Li Yang, Qifan Wang, Sumit Sanghai, Zac Yu | |
| 39 | | Semantic Search in Millions of Equations | | 0 | | Katharina Morik, Lukas Pfahler | |
| 40 | | MinSearch: An Efficient Algorithm for Similarity Search under Edit Distance | | 0 | | Haoyu Zhang, Qin Zhang | |
| 41 | | MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation | | 0 | | Feng Yuan, Liming Zhu, Lina Yao, Manqing Dong, Xiwei Xu | |
| 42 | | BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals | | 0 | | David Rohde, Flavian Vasile, Otmane Sakhi, Stephen Bonner | |
| 43 | | Handling Information Loss of Graph Neural Networks for Session-based Recommendation | | 0 | | Raymond ChiWing Wong, Tianwen Chen | |
| 44 | | InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity | | 0 | | Cameron Musco, Sudhanshu Chanpuriya | |
| 45 | | Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems | | 0 | | Dongyan Zhao, Feng Ji, Haiqing Chen, Mingyue Shang, Rui Yan, Shaobo Cui, Zhenxin Fu | |
| 46 | | Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation | | 0 | | Chuan Shi, Yuan Fang, Yuanfu Lu | |
| 47 | | Understanding Negative Sampling in Graph Representation Learning | | 0 | | Chang Zhou, Hongxia Yang, Jie Tang, Jingren Zhou, Ming Ding, Zhen Yang | |
| 48 | | A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks | | 0 | | Dengcheng Zhang, Florence Regol, Han Yuan, Huifeng Guo, Jianing Sun, Mark Coates, Ruiming Tang, Wei Guo, Xiuqiang He, Yaochen Hu, Yingxue Zhang | |
| 49 | | On Sampling Top-K Recommendation Evaluation | | 0 | | Dong Li, Jing Gao, Ruoming Jin, Zhi Liu | |
| 50 | | Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation | | 0 | | Junfeng Ge, Wenhui Yu, Wenwu Ou, Xiao Lin, Zheng Qin | |
| 51 | | Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies | | 0 | | Donald Metzler, Jingzheng Qin, Suming J. Chen, Xuanhui Wang, Yongwoo Noh, Zhen Qin | |
| 52 | | HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival | | 0 | | Huiting Hong, Jieping Ye, Kun Fu, Xiaohu Qie, Xiaoqing Yang, Yucheng Lin, Zang Li, Zheng Wang | |
| 53 | | General-Purpose User Embeddings based on Mobile App Usage | | 0 | | Bing Bai, Fei Wang, Jian Liang, Junqi Zhang, Kun Bai, Ye Lin | |
| 54 | | Controllable Multi-Interest Framework for Recommendation | | 0 | | Chang Zhou, Hongxia Yang, Jianwei Zhang, Jie Tang, Xu Zou, Yukuo Cen | |
| 55 | | SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter | | 0 | | Brian Wichers, Gui Ming Tang, Jerry Jiang, Jimmy Lin, Qieyun Dai, Venu Satuluri, Xun Zheng, Yao Wu, Yilei Qian | |
| 56 | | Time-Aware User Embeddings as a Service | | 0 | | Djordje Gligorijevic, Ivan Stojkovic, Jelena Gligorijevic, Martin Pavlovski, Narayan Bhamidipati, Shabhareesh Komirishetty, Shubham Agrawal, Zoran Obradovic | |
| 57 | | Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery | | 0 | | Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Zexi Chen | |
| 58 | | Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations | | 0 | | Jianxin Zhao, Jiecheng Guo, Jixing Xu, Minghui Shan, Xuanye Liu, Zhenlong Zhu | |
| 59 | | Ads Allocation in Feed via Constrained Optimization | | 0 | | Birjodh Tiwana, Jinyun Yan, Shaunak Chatterjee, Zhiyuan Xu | |
| 60 | | Kernel Assisted Learning for Personalized Dose Finding | | 0 | | Liangyu Zhu, Michael R. Kosorok, Rui Song, Wenbin Lu | |
| 61 | | An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph | | 0 | | Alexander J. Smola, Jiarui Jin, Jiarui Qin, Kounianhua Du, Weinan Zhang, Yong Yu, Yuchen Fang, Zheng Zhang | |
| 62 | | Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism | | 0 | | Gengyu Lyu, Songhe Feng, Yidong Li | |
| 63 | | Directional Multivariate Ranking | | 0 | | Hongning Wang, Nan Wang | |
| 64 | | Spectrum-Guided Adversarial Disparity Learning | | 0 | | Can Wang, Lei Bai, Lina Yao, Xianzhi Wang, Zhe Liu | |
| 65 | | Attention and Memory-Augmented Networks for Dual-View Sequential Learning | | 0 | | Cheng Wang, Nan Li, Yong He, Zhenyu Zeng | |
| 66 | | Efficient Algorithm for the b-Matching Graph | | 0 | | Atsutoshi Kumagai, Naonori Ueda, Sekitoshi Kanai, Yasuhiro Fujiwara, Yasutoshi Ida | |
| 67 | | SCE: Scalable Network Embedding from Sparsest Cut | | 0 | | Haicang Zhou, Shengzhong Zhang, Zengfeng Huang, Ziang Zhou | |
| 68 | | CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data | | 0 | | Ben Kao, Caihua Shan, Dawei Yin, Martin Ester, Xiang Li | |
| 69 | | WeightGrad: Geo-Distributed Data Analysis Using Quantization for Faster Convergence and Better Accuracy | | 0 | | Muhammad Abdullah Adnan, Syeda Nahida Akter | |
| 70 | | HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records | | 0 | | Cao Xiao, Fenglong Ma, Junyu Luo, Muchao Ye | |
| 71 | | Representing Temporal Attributes for Schema Matching | | 0 | | Jungho Park, Shaoxu Song, SooHyung Kim, Sungmin Yi, Yinan Mei, Yunsu Lee | |
| 72 | | COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching | | 0 | | Cao Xiao, Jimeng Sun, Junyi Gao, Lucas M. Glass | |
| 73 | | AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction | | 0 | | Junbo Zhang, Kainan Bao, Ting Li, Yexin Li, Yu Zheng, Yuxuan Liang | |
| 74 | | Adaptive Graph Encoder for Attributed Graph Embedding | | 0 | | Cheng Yang, Ganqu Cui, Jie Zhou, Zhiyuan Liu | |
| 75 | | Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation | | 0 | | Chen Ma, Liheng Ma, Mark Coates, Ruiming Tang, Xue Liu, Yingxue Zhang | |
| 76 | | Average Sensitivity of Spectral Clustering | | 0 | | Pan Peng, Yuichi Yoshida | |
| 77 | | Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model | | 0 | | Bin Gu, Victor S. Sheng, Wanli Shi, Xiang Li | |
| 78 | | Joint Policy-Value Learning for Recommendation | | 0 | | David Rohde, Flavian Vasile, Martin Bompaire, Olivier Jeunen | |
| 79 | | FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems | | 0 | | Aonghus Lawlor, Barry Smyth, Diarmuid O'ReillyMorgan, Elias Z. Tragos, James Geraci, Khalil Muhammad, Neil Hurley, Qinqin Wang | |
| 80 | | Discovering Approximate Functional Dependencies using Smoothed Mutual Information | | 0 | | Frédéric Pennerath, Jilles Vreeken, Panagiotis Mandros | |
| 81 | | The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver | | 0 | | Anton Zhernov, Dan A. Calian, Ivan Lobov, Krishnamurthy (Dj) Dvijotham, Michelle X. Gong, Natarajan Chandrashekar, Timothy A. Mann | |
| 82 | | Unsupervised Differentiable Multi-aspect Network Embedding | | 0 | | Carl Yang, Chanyoung Park, Donghyun Kim, Hwanjo Yu, Jiawei Han, Qi Zhu | |
| 83 | | ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization | | 0 | | Aravind SukumaranRajam, Gordon Euhyun Moon, J. Austin Ellis, P. Sadayappan, Srinivasan Parthasarathy | |
| 84 | | RayS: A Ray Searching Method for Hard-label Adversarial Attack | | 0 | | Jinghui Chen, Quanquan Gu | |
| 85 | | Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding | | 0 | | Chao Zhang, Jiawei Han, Jiaxin Huang, Yu Meng, Yu Zhang, Yunyi Zhang | |
| 86 | | Hypergraph Clustering Based on PageRank | | 0 | | Atsushi Miyauchi, Masahiro Ikeda, Yuichi Yoshida, Yuuki Takai | |
| 87 | | Dual Channel Hypergraph Collaborative Filtering | | 0 | | Rongrong Ji, Shuyi Ji, Wanwan Tang, Xibin Zhao, Yifan Feng, Yue Gao | |
| 88 | | MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining | | 0 | | Cyrus Cousins, Fabio Vandin, Leonardo Pellegrina, Matteo Riondato | |
| 89 | | OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena | | 0 | | Changjie Fan, Dezhi Ye, Hao Li, Jianrong Tao, Linxia Gong, Peng Cui, Runze Wu, Xiaochuan Feng | |
| 90 | | Temporal-Contextual Recommendation in Real-Time | | 0 | | Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding, Yifei Ma | |
| 91 | | Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A Simple Method to Identify Important Spectral Features of EEG in Deep Learning Models | | 0 | | David O. Nahmias, Kimberly L. Kontson | |
| 92 | | MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks | | 0 | | Aditya Pal, Andrew Zhai, Carl Yang, Charles Rosenberg, Jiawei Han, Jure Leskovec, Nikil Pancha | |
| 93 | | To Tune or Not to Tune?: In Search of Optimal Configurations for Data Analytics | | 0 | | Andrew Rice, Andy Hopper, Ayat Fekry, Lucian Carata, Thomas F. J.M. Pasquier | |
| 94 | | Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data | | 0 | | Jing Gao, Xian Li, Xin Luna Dong, Yaqing Wang, Yifan Ethan Xu | |
| 95 | | Category-Specific CNN for Visual-aware CTR Prediction at JD.com | | 0 | | Hao Peng, Hao Yang, Hu Liu, Jing Lu, Sulong Xu, Weipeng Yan, Wenjie Niu, Xiaokun Zhu, Xiwei Zhao, Yongjun Bao, Zehua Zhang | |
| 96 | | DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection | | 0 | | ChengTe Li, Etim Ibok, Karandeep Singh, Meeyoung Cha, Sundong Kim, Yeonsoo Choi, YuChe Tsai | |
| 97 | | Improving Recommendation Quality in Google Drive | | 0 | | Brian Calaci, Donald Metzler, Michael Rose, Mike Colagrosso, Ryan Evans, Sandeep Tata, Sean Abraham, Suming J. Chen, Zac Wilson, Zhen Qin | |
| 98 | | Multi-objective Optimization for Guaranteed Delivery in Video Service Platform | | 0 | | Hang Lei, Longjun Cai, Yin Zhao | |
| 99 | | Delivery Scope: A New Way of Restaurant Retrieval for On-demand Food Delivery Service | | 0 | | Fangxiao Du, Feifan Yin, Guoxing Wei, Ke Xing, Renqing He, Runfeng Zhang, Xingyu Liu, Xuetao Ding, Zhen Mao, Zhizhao Sun | |
| 100 | | Meta-Learning for Query Conceptualization at Web Scale | | 0 | | Bowei Long, Di Niu, Fred X. Han, Haolan Chen, Shengli Yan, Weidong Guo | |
| 101 | | Jointly Learning to Recommend and Advertise | | 0 | | Jiliang Tang, Xiangyu Zhao, Xiaobing Liu, Xiwang Yang, Xudong Zheng | |
| 102 | | Fighting a Pandemic: Convergence of Expertise, Data Science and Policy | | 0 | | Joseph T. Wu, Lauren Gardner, Marcel Salathé, Nitesh V. Chawla, Samuel V. Scarpino, Tina EliassiRad, Vittoria Colizza | |
| 103 | | Building Recommender Systems with PyTorch | | 0 | | Amanpreet Singh, Dheevatsa Mudigere, Geeta Chauhan, Joe Spisak, Maxim Naumov, Narine Kokhlikyan, Vedanuj Goswami | |
| 104 | | Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys | | 0 | | Ben Carterette, Chen Gao, Isabelle Guyon, James T. Kwok, Qiang Yang, Quanming Yao, Rishabh Mehrotra, Yong Li | |
| 105 | | Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis | | 0 | | Jiawei Han, Jiaxin Huang, Yu Meng | |
| 106 | | Image and Video Understanding for Recommendation and Spam Detection Systems | | 0 | | Aman Gupta, Ananth Sankar, Bharat Jain, Di Wen, Dylan Wang, Liang Zhang, Nikita Gupta, Sirjan Kafle, Suhit Sinha, Sumit Srivastava | |
| 107 | | WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams | | 0 | | Bin Cui, Gong Zhang, Jizhou Li, Shiqi Jiang, Tong Yang, Yafei Dai, Yifei Xu, Zikun Li | |
| 108 | | Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams | | 0 | | Kunpeng Liu, Lu Jiang, Pengyang Wang, Xiaolin Li, Yanjie Fu | |
| 109 | | CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams | | 0 | | Guy Francoeur, Petko Valtchev, Tomas Martin | |
| 110 | | Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors | | 0 | | Daheng Wang, Meng Jiang, Munira Syed, Nitesh V. Chawla, Oliver Conway, Sriram Subramanian, Vishal Juneja | |
| 111 | | User Sentiment as a Success Metric: Persistent Biases Under Full Randomization | | 0 | | Ercan Yildiz, Joshua Safyan, Marc Harper | |
| 112 | | Fraud Transactions Detection via Behavior Tree with Local Intention Calibration | | 0 | | Can Liu, Jiayu Tang, Jinghua Feng, Li Sun, Qing He, Qiwei Zhong, Wangli Lin, Xiang Ao | |
| 113 | | Bandit based Optimization of Multiple Objectives on a Music Streaming Platform | | 0 | | Mounia Lalmas, Niannan Xue, Rishabh Mehrotra | |
| 114 | | Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning | | 0 | | Chenglei Yang, Fuzhen Zhuang, Hui Xiong, Jingbo Zhou, Liming Zou, Meng Zhou, Min Zhao, Xiang Ge, Zhenwei Tang | |
| 115 | | Tutorial on Online User Engagement: Metrics and Optimization | | 0 | | Liangjie Hong, Mounia Lalmas | |
| 116 | | The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness | | 0 | | Mariya I. Vasileva | |
| 117 | | Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction | | 0 | | Haoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You | |
| 118 | | GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction | | 0 | | Dongwon Lee, Suhang Wang, Thai Le | |
| 119 | | From Online to Non-i.i.d. Batch Learning | | 0 | | Shangqi Lu, Yufei Tao | |
| 120 | | TranSlider: Transfer Ensemble Learning from Exploitation to Exploration | | 0 | | Chun Yuan, Haoli Bai, Junzhou Huang, Kuo Zhong, Ying Wei | |
| 121 | | Towards Fair Truth Discovery from Biased Crowdsourced Answers | | 0 | | Haipei Sun, Wendy Hui Wang, Yanying Li | |
| 122 | | Estimating Properties of Social Networks via Random Walk considering Private Nodes | | 0 | | Kazuki Nakajima, Kazuyuki Shudo | |
| 123 | | TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations | | 0 | | Ang Li, Huanrui Yang, Jianlei Yang, Yiran Chen, Yixiao Duan | |
| 124 | | Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks | | 0 | | Jun Luo, Xiangnan Kong, Xun Zhou, Yanhua Li, Yingxue Zhang | |
| 125 | | Generic Outlier Detection in Multi-Armed Bandit | | 0 | | Jingrui He, Yikun Ban | |
| 126 | | Off-policy Bandits with Deficient Support | | 0 | | Noveen Sachdeva, Thorsten Joachims, Yi Su | |
| 127 | | Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows | | 0 | | Bin Cui, Ke Wang, Long He, Tong Yang, Xiangyang Gou, Xilai Liu, Yi Wang, Yinda Zhang | |
| 128 | | Re-identification Attack to Privacy-Preserving Data Analysis with Noisy Sample-Mean | | 0 | | Du Su, Hieu Tri Huynh, Wenmiao Lu, Yi Lu, Ziao Chen | |
| 129 | | BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision | | 0 | | Chao Zhang, Chen Liang, Haoming Jiang, Ruijia Wang, Siawpeng Er, Tuo Zhao, Yue Yu | |
| 130 | | Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping | | 0 | | Byung Suk Lee, JaeGil Lee, Susik Yoon | |
| 131 | | Competitive Analysis for Points of Interest | | 0 | | Hao Liu, Hui Xiong, Jingbo Zhou, Shuangli Li, Tong Xu, Xinjiang Lu | |
| 132 | | Catalysis Clustering with GAN by Incorporating Domain Knowledge | | 0 | | John Quackenbush, Marieke L. Kuijjer, Olga Andreeva, Ping Chen, Wei Ding, Wei Li | |
| 133 | | Prediction and Profiling of Audience Competition for Online Television Series | | 0 | | Chuanren Liu, Kefeng Ning, Peng Zhang, Wenxiang Zhu, Yu Zhang | |
| 134 | | Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks | | 0 | | Mahmut T. Kandemir, Mehrdad Mahdavi, Rana Forsati, Weilin Cong | |
| 135 | | Leveraging Model Inherent Variable Importance for Stable Online Feature Selection | | 0 | | Gjergji Kasneci, Johannes Haug, Klaus Broelemann, Martin Pawelczyk | |
| 136 | | A Geometric Approach to Predicting Bounds of Downstream Model Performance | | 0 | | Brian J. Goode, Debanjan Datta | |
| 137 | | HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units | | 0 | | Alaa Aljiffry, Alexey Tumanov, Alind Khare, Jimeng Sun, Kevin O. Maher, Satria Priambada, Shenda Hong, Yanbo Xu | |
| 138 | | Aligning Superhuman AI with Human Behavior: Chess as a Model System | | 0 | | Ashton Anderson, Jon M. Kleinberg, Reid McIlroyYoung, Siddhartha Sen | |
| 139 | | Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data | | 0 | | Diane J. Cook, Garrett Wilson, Janardhan Rao Doppa | |
| 140 | | Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory | | 0 | | Alane M. de Lima, André Luís Vignatti, Murilo V. G. da Silva | |
| 141 | | Multimodal Learning with Incomplete Modalities by Knowledge Distillation | | 0 | | Jiayu Zhou, Liang Zhan, Paul M. Thompson, Qi Wang | |
| 142 | | AdvMind: Inferring Adversary Intent of Black-Box Attacks | | 0 | | Ren Pang, Shouling Ji, Ting Wang, Xiapu Luo, Xinyang Zhang | |
| 143 | | Prioritized Restreaming Algorithms for Balanced Graph Partitioning | | 0 | | Amel Awadelkarim, Johan Ugander | |
| 144 | | Non-Linear Mining of Social Activities in Tensor Streams | | 0 | | Koki Kawabata, Takato Honda, Yasuko Matsubara, Yasushi Sakurai | |
| 145 | | Learning Stable Graphs from Multiple Environments with Selection Bias | | 0 | | Hao Zou, Hongxia Yang, Jianxin Ma, Peng Cui, Philip S. Yu, Xiaowei Wang, Yue He | |
| 146 | | Octet: Online Catalog Taxonomy Enrichment with Self-Supervision | | 0 | | Andrey Kan, Chenwei Zhang, Christos Faloutsos, Jiawei Han, Tong Zhao, Xin Luna Dong, Yuning Mao | |
| 147 | | Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps | | 0 | | Neil Shah, Prasenjit Mitra, Suhang Wang, Xianfeng Tang, Xiaolin Shi, Yozen Liu | |
| 148 | | Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy | | 0 | | Jieping Ye, Lingyu Zhang, Lulu Zhang, Ning Luo, Qiaozhu Mei, Teng Ye, Wei Ai | |
| 149 | | Building Continuous Integration Services for Machine Learning | | 0 | | Andy Xu, Bojan Karlas, Ce Zhang, Chris Lauren, Cédric Renggli, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Markus Weimer, Matteo Interlandi, Wentao Wu | |
| 150 | | Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery | | 0 | | Kairong Zhou, Lin Zhu, Ning Chen, Pei Lee, Pengyu Wang, Wei Yu, Wenxing Feng, Xing Wang | |
| 151 | | Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games (Rummy as Case Study) | | 0 | | Deepanshi Seth, Mridul Sachdeva, Samrat Dattagupta, Sanjay Agarwal, Sharanya Eswaran, Suhaas Kalpam, Tridib Mukherjee, Vikram Vimal | |
| 152 | | Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades | | 0 | | Francesco Ducci, Mathias Kraus, Stefan Feuerriegel | |
| 153 | | ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps | | 0 | | Fan Wang, Haifeng Wang, Haijin Liang, Jizhou Huang, Lingke Zeng, Xiaomin Fang | |
| 154 | | AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types | | 0 | | Alexandre Michetti Manduca, Andrew McCallum, Andrey Kan, Chenwei Zhang, Christos Faloutsos, Fan Xiao, Gabriel Blanco Saldana, Giannis Karamanolakis, HawShiuan Chang, Jay Ren, Jiawei Han, Jun Ma, Saurabh Deshpande, Surender Pal Singh, Tong Zhao, Xian Li, Xiang He, Xin Luna Dong, Yan Liang, Yaqing Wang, Yifan Ethan Xu, Yuning Mao | |
| 155 | | A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario | | 0 | | Mahardhika Pratama, Monidipa Das, Tegoeh Tjahjowidodo | |
| 156 | | Domain Specific Knowledge Graphs as a Service to the Public: Powering Social-Impact Funding in the US | | 0 | | Daniel Zhu, Luis J. Salazar, Vitalii Zakhozhyi, Ying Li | |
| 157 | | Large-Scale Training System for 100-Million Classification at Alibaba | | 0 | | Hao Yang, Kang Zhao, Liuyihan Song, Pan Pan, Rong Jin, Yiming Chen, Yinghui Xu, Yingya Zhang | |
| 158 | | A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications | | 0 | | Burr Settles, Kevin P. Yancey | |
| 159 | | Attention based Multi-Modal New Product Sales Time-series Forecasting | | 0 | | Kushagra Manglik, Satyam Dwivedi, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Vijay Ekambaram, Vikas Raykar | |
| 160 | | Cracking the Black Box: Distilling Deep Sports Analytics | | 0 | | Guiliang Liu, Jack Davis, Oliver Schulte, Xiangyu Sun | |
| 161 | | Shop The Look: Building a Large Scale Visual Shopping System at Pinterest | | 0 | | Andrew Zhai, Anqi Guo, Charles Rosenberg, Eileen Li, Eric Kim, HaoYu Wu, Kunlong Gu, Raymond Shiau, Yue Li Du, Zhiyuan Zhang | |
| 162 | | An Empirical Analysis of Backward Compatibility in Machine Learning Systems | | 0 | | Besmira Nushi, Ece Kamar, Eric Horvitz, Megha Srivastava, Shital Shah | |
| 163 | | Bootstrapping Complete The Look at Pinterest | | 0 | | Andrew Zhai, Eileen Li, Eric Kim, Josh Beal, Kunlong Gu | |
| 164 | | Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms | | 0 | | Alec C. Gerry, Alireza Abdoli, Amy C. Murillo, Eamonn J. Keogh, Leslie Hickle, Sara Alaee, Shima Imani | |
| 165 | | Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data | | 0 | | An Zhuo, Haifeng Wang, Jizhou Huang, Miao Fan, Yibo Sun, Ying Li | |
| 166 | | Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data | | 0 | | Andreas Grammenos, Apinan Hasthanasombat, Cecilia Mascolo, Chloë Brown, Dimitris Spathis, Jagmohan Chauhan, Jing Han, Pietro Cicuta, Tong Xia | |
| 167 | | From Zero to AI Hero with Automated Machine Learning | | 0 | | Aniththa Umamahesan, Deepak Mukunthu Iyappan Babu | |
| 168 | | Building Forecasting Solutions Using Open-Source and Azure Machine Learning | | 0 | | Chenhui Hu, Vanja Paunic | |
| 169 | | Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data | | 0 | | Alexander J. Smola, Jonas Mueller, Xingjian Shi | |
| 170 | | Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges | | 0 | | Harsha Nori, Marco Túlio Ribeiro, Rich Caruana, Samuel Jenkins, Scott M. Lundberg | |
| 171 | | Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | | 0 | | Kit T. Rodolfa, Pedro Saleiro, Rayid Ghani | |
| 172 | | Causal Inference Meets Machine Learning | | 0 | | Jing Gao, Liuyi Yao, Peng Cui, Sheng Li, Yaliang Li, Zheyan Shen, Zhixuan Chu | |
| 173 | | Fairness in Machine Learning for Healthcare | | 0 | | Ankur Teredesai, Arpit Patel, Carly Eckert, Muhammad Aurangzeb Ahmad, Vikas Kumar | |
| 174 | | Learning from All Types of Experiences: A Unifying Machine Learning Perspective | | 0 | | Eric P. Xing, Zhiting Hu | |
| 175 | | Overview and Importance of Data Quality for Machine Learning Tasks | | 0 | | Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Vitobha Munigala | |
| 176 | | Learning by Exploration: New Challenges in Real-World Environments | | 0 | | Hongning Wang, Huazheng Wang, Qingyun Wu | |
| 177 | | Accessible Online Meetings and Presentations | | 0 | | Brianna Blaser | |
| 178 | | No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity | | 0 | | Caitlin Kuhlman, Latifa Jackson, Rumi Chunara | |
| 179 | | Preserving Integrity in Online Social Media | | 0 | | Alon Y. Halevy | |
| 180 | | Using Machine Learning to Detect Cancer Early | | 0 | | Jan Schellenberger | |
| 181 | | Build the State-of-the-Art Machine Learning Technology for the Crypto Economy | | 0 | | Burkay Gur, Catalin Tiseanu, Michael Li | |
| 182 | | Multimodal Machine Learning for Video and Image Analysis | | 0 | | Shalini Ghosh | |
| 183 | | Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning | | 0 | | Timnit Gebru | |
| 184 | | AI for Intelligent Financial Services: Examples and Discussion | | 0 | | Manuela Veloso | |
| 185 | | Keynote Speaker: Emery N. Brown | | 0 | | Emery N. Brown | |
| 186 | | Keynote Speaker: Yolanda Gil | | 0 | | Yolanda Gil | |
| 187 | | Learning Effective Road Network Representation with Hierarchical Graph Neural Networks | | 0 | | Dayan Pan, Jingyuan Wang, Ning Wu, Wayne Xin Zhao | |
| 188 | | Keynote Speaker: Alessandro Vespignani | | 0 | | Alessandro Vespignani | |
| 189 | | Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense | | 0 | | Chao Li, Jingyuan Wang, Junjie Wu, Mingxuan Li, Xin Lin, Yufan Wu | |
| 190 | | Higher-order Clustering in Complex Heterogeneous Networks | | 0 | | Aldo G. Carranza, Anup Rao, Eunyee Koh, Ryan A. Rossi | |
| 191 | | Graph Structure Learning for Robust Graph Neural Networks | | 0 | | Jiliang Tang, Suhang Wang, Wei Jin, Xianfeng Tang, Xiaorui Liu, Yao Ma | |
| 192 | | Truth Discovery against Strategic Sybil Attack in Crowdsourcing | | 0 | | Chunyan Miao, Ke Wang, Yue Wang | |
| 193 | | SSumM: Sparse Summarization of Massive Graphs | | 0 | | Hyeonsoo Jo, Jihoon Ko, Kijung Shin, Kyuhan Lee, Sungsu Lim | |
| 194 | | Rethinking Pruning for Accelerating Deep Inference At the Edge | | 0 | | Dawei Gao, Ke Xu, Lothar Thiele, Xiaoxi He, Yongxin Tong, Zimu Zhou | |
| 195 | | Structural Patterns and Generative Models of Real-world Hypergraphs | | 0 | | Bryan Hooi, Kijung Shin, Manh Tuan Do, Seeun Yoon | |
| 196 | | Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection | | 0 | | BiCun Xu, Kai Ming Ting, Takashi Washio, ZhiHua Zhou | |
| 197 | | NodeAug: Semi-Supervised Node Classification with Data Augmentation | | 0 | | Bryan Hooi, Juncheng Liu, Wei Wang, Yiwei Wang, Yujun Cai, Yuxuan Liang | |
| 198 | | An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks | | 0 | | Fan Yang, Mengnan Du, Ninghao Liu, Ruixiang Tang, Xia Hu | |
| 199 | | Kronecker Attention Networks | | 0 | | Hongyang Gao, Shuiwang Ji, Zhengyang Wang | |
| 200 | | Hierarchical Attention Propagation for Healthcare Representation Learning | | 0 | | Christopher Ryan King, Michael Avidan, Muhan Zhang, Yixin Chen | |
| 201 | | Local Community Detection in Multiple Networks | | 0 | | Dongsheng Luo, Jun Huan, Xiang Zhang, Xiao Liu, Yaowei Yan, Yuchen Bian | |
| 202 | | Adversarial Infidelity Learning for Model Interpretation | | 0 | | Bing Bai, Fei Wang, Jian Liang, Kun Bai, Yuren Cao | |
| 203 | | A Block Decomposition Algorithm for Sparse Optimization | | 0 | | Ganzhao Yuan, Li Shen, WeiShi Zheng | |
| 204 | | How to Count Triangles, without Seeing the Whole Graph | | 0 | | C. Seshadhri, Suman K. Bera | |
| 205 | | Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning | | 0 | | Huaxiang Zhang, Lina Yao, Shirui Pan, Xiaojun Chang, Zhihui Li, Zongyuan Ge | |
| 206 | | Incremental Lossless Graph Summarization | | 0 | | Jihoon Ko, Kijung Shin, Yunbum Kook | |
| 207 | | Towards Deeper Graph Neural Networks | | 0 | | Hongyang Gao, Meng Liu, Shuiwang Ji | |
| 208 | | Laplacian Change Point Detection for Dynamic Graphs | | 0 | | Guillaume Rabusseau, Reihaneh Rabbany, Shenyang Huang, Yasmeen Hitti | |
| 209 | | InFoRM: Individual Fairness on Graph Mining | | 0 | | Hanghang Tong, Jian Kang, Jingrui He, Ross Maciejewski | |
| 210 | | Local Motif Clustering on Time-Evolving Graphs | | 0 | | Dawei Zhou, Dongqi Fu, Jingrui He | |
| 211 | | A Data-Driven Graph Generative Model for Temporal Interaction Networks | | 0 | | Dawei Zhou, Jiawei Han, Jingrui He, Lecheng Zheng | |
| 212 | | Recurrent Networks for Guided Multi-Attention Classification | | 0 | | Constance M. Moore, John Boaz Lee, Tian Guo, Xiangnan Kong, Xin Dai, Xinyue Liu | |
| 213 | | Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning | | 0 | | Chao Li, Cheng Deng, Haoteng Tang, Liang Zhan, Wei Liu | |
| 214 | | Policy-GNN: Aggregation Optimization for Graph Neural Networks | | 0 | | Daochen Zha, Kaixiong Zhou, KweiHerng Lai, Xia Hu | |
| 215 | | INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare | | 0 | | Buyue Qian, Hang Chen, Ian Davidson, Shilei Cao, Xianli Zhang, Yang Li, Yefeng Zheng | |
| 216 | | XGNN: Towards Model-Level Explanations of Graph Neural Networks | | 0 | | Hao Yuan, Jiliang Tang, Shuiwang Ji, Xia Hu | |
| 217 | | Malicious Attacks against Deep Reinforcement Learning Interpretations | | 0 | | Aidong Zhang, Jianhui Sun, Liuyi Yao, Mengdi Huai, Renqin Cai | |
| 218 | | DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation | | 0 | | Dongwon Lee, Fenglong Ma, Haeseung Seo, Limeng Cui, Maryam Tabar, Suhang Wang | |
| 219 | | MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals | | 0 | | Andrey Kan, Christos Faloutsos, Namyong Park, Tong Zhao, Xin Luna Dong | |
| 220 | | Geodesic Forests | | 0 | | Carey E. Priebe, Gongkai Li, James Browne, Joshua T. Vogelstein, Meghana Madhyastha, Randal C. Burns, Veronika StrnadováNeeley | |
| 221 | | Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals | | 0 | | Panagiotis Papapetrou, Tony Lindgren, Zed Lee | |
| 222 | | Imputing Various Incomplete Attributes via Distance Likelihood Maximization | | 0 | | Shaoxu Song, Yu Sun | |
| 223 | | Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning | | 0 | | JingHan Wu, MinLing Zhang, QingGuo Chen, Xuan Wu, Yao Hu | |
| 224 | | Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods | | 0 | | Aritra Konar, Nicholas D. Sidiropoulos | |
| 225 | | Residual Correlation in Graph Neural Network Regression | | 0 | | Austin R. Benson, Junteng Jia | |
| 226 | | MoFlow: An Invertible Flow Model for Generating Molecular Graphs | | 0 | | Chengxi Zang, Fei Wang | |
| 227 | | AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks | | 0 | | Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi | |
| 228 | | Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System | | 0 | | Bo Du, Jia Wu, Lefei Zhang, Yipeng Zhang | |
| 229 | | Missing Value Imputation for Mixed Data via Gaussian Copula | | 0 | | Madeleine Udell, Yuxuan Zhao | |
| 230 | | Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data | | 0 | | Guoqiang Zhang, Kenta Niwa, Noboru Harada, W. Bastiaan Kleijn | |
| 231 | | Deep Learning of High-Order Interactions for Protein Interface Prediction | | 0 | | Hao Yuan, Lei Cai, Shuiwang Ji, Yi Liu | |
| 232 | | Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands | | 0 | | Chengfei Liu, Jeffrey Xu Yu, Jiajie Xu, Jianxin Li, Lu Chen, Rui Zhou | |
| 233 | | ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction | | 0 | | Cheekong Lee, Chengqiang Lu, Enhong Chen, Hao Wang, Qi Liu, Zhenya Huang, Zheyuan Hu, Zhongkai Hao | |
| 234 | | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | | 0 | | Chengqi Zhang, Guodong Long, Jing Jiang, Shirui Pan, Xiaojun Chang, Zonghan Wu | |
| 235 | | Learning Opinion Dynamics From Social Traces | | 0 | | Corrado Monti, Francesco Bonchi, Gianmarco De Francisci Morales | |
| 236 | | Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network | | 0 | | Chuan Qin, Enhong Chen, Hui Xiong, Le Dai, Tong Xu, Xiangnan He, Yu Yin | |
| 237 | | Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity | | 0 | | Jilles Vreeken, Jonas Fischer | |
| 238 | | AutoGrow: Automatic Layer Growing in Deep Convolutional Networks | | 0 | | Feng Yan, Hai Li, Wei Wen, Yiran Chen | |
| 239 | | Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder | | 0 | | Changchang Yin, Dongdong Zhang, Ping Zhang, Ruoqi Liu | |
| 240 | | A Causal Look at Statistical Definitions of Discrimination | | 0 | | Elias Chaibub Neto | |
| 241 | | Targeted Data-driven Regularization for Out-of-Distribution Generalization | | 0 | | James Z. Wang, Mehrdad Mahdavi, Mohammad Mahdi Kamani, Sadegh Farhang | |
| 242 | | Neural Dynamics on Complex Networks | | 0 | | Chengxi Zang, Fei Wang | |
| 243 | | Grammatically Recognizing Images with Tree Convolution | | 0 | | Guangcong Wang, Guangrun Wang, Keze Wang, Liang Lin, Xiaodan Liang | |
| 244 | | Robust Spammer Detection by Nash Reinforcement Learning | | 0 | | Guixiang Ma, Philip S. Yu, Sihong Xie, Yingtong Dou | |
| 245 | | Mining Persistent Activity in Continually Evolving Networks | | 0 | | Caleb Belth, Danai Koutra, Xinyi Zheng | |
| 246 | | Redundancy-Free Computation for Graph Neural Networks | | 0 | | Alex Aiken, Jiaxuan You, Jure Leskovec, Rex Ying, Sina Lin, Zhihao Jia | |
| 247 | | STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths | | 0 | | Chao Zhang, Hao Feng, Jiaming Shen, Jimeng Sun, Yinghao Li, Yue Yu | |
| 248 | | NetTrans: Neural Cross-Network Transformation | | 0 | | Hanghang Tong, Jiejun Xu, Liang Xiong, Si Zhang, Yinglong Xia | |
| 249 | | Graph Structural-topic Neural Network | | 0 | | Guojie Song, Qingqing Long, Wei Lin, Yi Li, Yilun Jin | |
| 250 | | Correlation Networks for Extreme Multi-label Text Classification | | 0 | | Aidong Zhang, Guangxu Xun, Jianhui Sun, Kishlay Jha | |
| 251 | | Predicting Temporal Sets with Deep Neural Networks | | 0 | | Bowen Du, Chuanren Liu, Hui Xiong, Le Yu, Leilei Sun, Weifeng Lv | |
| 252 | | FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents | | 0 | | Bill Yuchen Lin, Nguyen Vo, Sandeep Tata, Ying Sheng | |
| 253 | | SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks | | 0 | | Philip S. Yu, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Yao Zhang, Yun Xiong, Yun Ye | |
| 254 | | Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness | | 0 | | Eamonn J. Keogh, Makoto Imamura, Takaaki Nakamura | |
| 255 | | Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks | | 0 | | Ayush Chopra, Balaji Krishnamurthy, Mausoom Sarkar, Piyush Gupta, Surgan Jandial, Vineeth Balasubramanian | |
| 256 | | HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification | | 0 | | Jingping Bi, Xiaokai Chu, Xinxin Fan, Zhihua Zhu | |
| 257 | | GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training | | 0 | | Hongxia Yang, Jie Tang, Jiezhong Qiu, Jing Zhang, Kuansan Wang, Ming Ding, Qibin Chen, Yuxiao Dong | |
| 258 | | Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning | | 0 | | Christian Böhm, Claudia Plant, Sonja Biedermann | |
| 259 | | Block Model Guided Unsupervised Feature Selection | | 0 | | Hoa Nguyen, Ian Davidson, Zilong Bai | |
| 260 | | LayoutLM: Pre-training of Text and Layout for Document Image Understanding | | 0 | | Furu Wei, Lei Cui, Ming Zhou, Minghao Li, Shaohan Huang, Yiheng Xu | |
| 261 | | AM-GCN: Adaptive Multi-channel Graph Convolutional Networks | | 0 | | Chuan Shi, Deyu Bo, Jian Pei, Meiqi Zhu, Peng Cui, Xiao Wang | |
| 262 | | HOPS: Probabilistic Subtree Mining for Small and Large Graphs | | 0 | | Florian Seiffarth, Michael Kamp, Pascal Welke, Stefan Wrobel | |
| 263 | | HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness | | 0 | | Aidong Zhang, Jiayi Chen | |
| 264 | | ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification | | 0 | | Huimin Ren, Jun Luo, Menghai Pan, Xun Zhou, Yanhua Li | |
| 265 | | A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network | | 0 | | John Quackenbush, Ping Chen, Tianyu Kang, Wei Ding | |
| 266 | | Multi-Class Data Description for Out-of-distribution Detection | | 0 | | Dongha Lee, Hwanjo Yu, Sehun Yu | |
| 267 | | Recurrent Halting Chain for Early Multi-label Classification | | 0 | | Cansu Sen, Elke A. Rundensteiner, Thomas Hartvigsen, Xiangnan Kong | |
| 268 | | In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints | | 0 | | Andrea Tagarelli, Domenico Mandaglio, Francesco Gullo | |
| 269 | | xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis | | 0 | | Jun Luo, Menghai Pan, Weixiao Huang, Xun Zhou, Yanhua Li | |
| 270 | | Attackability Characterization of Adversarial Evasion Attack on Discrete Data | | 0 | | Fenglong Ma, Hongyan Bao, Jin Li, Xiangliang Zhang, Yufei Han, Yun Shen, Yutong Wang | |
| 271 | | Discovering Functional Dependencies from Mixed-Type Data | | 0 | | David Kaltenpoth, Jilles Vreeken, Mario Boley, Panagiotis Mandros | |
| 272 | | AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space | | 0 | | Chengrun Yang, Jicong Fan, Madeleine Udell, Ziyang Wu | |
| 273 | | Towards Physics-informed Deep Learning for Turbulent Flow Prediction | | 0 | | Adrian Albert, Karthik Kashinath, Mustafa Mustafa, Rose Yu, Rui Wang | |
| 274 | | Evaluating Fairness Using Permutation Tests | | 0 | | Cyrus DiCiccio, Deepak Agarwal, Kinjal Basu, Krishnaram Kenthapadi, Sriram Vasudevan | |
| 275 | | Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction | | 0 | | Bogdan Gabrys, Hongxu Chen, Hongzhi Yin, Katarzyna Musial, Tong Chen, Xiangguo Sun | |
| 276 | | Measuring Model Complexity of Neural Networks with Curve Activation Functions | | 0 | | Jian Pei, Jiang Bian, Weiqing Liu, Xia Hu | |
| 277 | | Diverse Rule Sets | | 0 | | Aristides Gionis, Guangyi Zhang | |
| 278 | | Deep State-Space Generative Model For Correlated Time-to-Event Predictions | | 0 | | Andrew M. Dai, Claire Cui, Denny Zhou, Kun Zhang, Nan Du, Yuan Xue, Zhen Xu | |
| 279 | | Vamsa: Automated Provenance Tracking in Data Science Scripts | | 0 | | Ashvin Agrawal, Avrilia Floratou, Fotis Psallidas, Markus Weimer, Mohammad Hossein Namaki, Subru Krishnan, Yinghui Wu, Yiwen Zhu | |
| 280 | | Dynamic Knowledge Graph based Multi-Event Forecasting | | 0 | | Huzefa Rangwala, Songgaojun Deng, Yue Ning | |
| 281 | | Certifiable Robustness of Graph Convolutional Networks under Structure Perturbations | | 0 | | Daniel Zügner, Stephan Günnemann | |
| 282 | | Statistically Significant Pattern Mining with Ordinal Utility | | 0 | | Jun Sakuma, Kazuto Fukuchi, Thien Q. Tran, Youhei Akimoto | |
| 283 | | RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift | | 0 | | LanZhe Guo, YuFeng Li, Zhi Zhou | |
| 284 | | LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values | | 0 | | Ardavan Afshar, Chao Zhang, Jimeng Sun, Joyce C. Ho, Kejing Yin, William K. Cheung | |
| 285 | | Heidegger: Interpretable Temporal Causal Discovery | | 0 | | Ali Arab, Martin Ester, Mehrdad Mansouri, Zahra Zohrevand | |
| 286 | | Minimizing Localized Ratio Cut Objectives in Hypergraphs | | 0 | | Austin R. Benson, Jon M. Kleinberg, Nate Veldt | |
| 287 | | Interpretable Deep Graph Generation with Node-edge Co-disentanglement | | 0 | | Amarda Shehu, Liang Zhao, Lingfei Wu, Xiaojie Guo, Yanfang Ye, Zhao Qin | |
| 288 | | Hyperbolic Distance Matrices | | 0 | | Ivan Dokmanic, Puoya Tabaghi | |
| 289 | | RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning | | 0 | | Diya Li, Mohammed J. Zaki | |
| 290 | | Unsupervised Paraphrasing via Deep Reinforcement Learning | | 0 | | A. B. Siddique, Samet Oymak, Vagelis Hristidis | |
| 291 | | TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning | | 0 | | Aidong Zhang, Jingyuan Chou, Qiuling Suo, Weida Zhong | |
| 292 | | Graph Attention Networks over Edge Content-Based Channels | | 0 | | Hongning Wang, Lu Lin | |
| 293 | | GPT-GNN: Generative Pre-Training of Graph Neural Networks | | 0 | | KaiWei Chang, Kuansan Wang, Yizhou Sun, Yuxiao Dong, Ziniu Hu | |
| 294 | | TinyGNN: Learning Efficient Graph Neural Networks | | 0 | | Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou | |
| 295 | | Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs | | 0 | | Anthony Wirth, David F. Gleich, Nate Veldt | |
| 296 | | A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components | | 0 | | Qi Ma, Sujit K. Ghosh, Yuantong Li | |
| 297 | | Combinatorial Black-Box Optimization with Expert Advice | | 0 | | Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das, Samuel C. Hoffman, Subramanian Sankaranarayanan, Troy David Loeffler | |
| 298 | | List-wise Fairness Criterion for Point Processes | | 0 | | Jin Shang, Mingxuan Sun, Nina S.N. Lam | |
| 299 | | CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring | | 0 | | Jiawei Han, Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang | |
| 300 | | Neural Subgraph Isomorphism Counting | | 0 | | Haojie Pan, Lifeng Shang, Mutian He, Xin Jiang, Xin Liu, Yangqiu Song | |
| 301 | | Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes | | 0 | | David A. Sontag, Helen Zhou, Michael Oberst, Sanjat Kanjilal, Soorajnath Boominathan | |
| 302 | | DeepSinger: Singing Voice Synthesis with Data Mined From the Web | | 0 | | Jian Luan, Tao Qin, TieYan Liu, Xu Tan, Yi Ren, Zhou Zhao | |
| 303 | | Scaling Choice Models of Relational Social Data | | 0 | | George Pakapol Supaniratisai, Jan Overgoor, Johan Ugander | |
| 304 | | Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction | | 0 | | Sarah Masud, Soumen Chakrabarti, Subhabrata Dutta, Tanmoy Chakraborty | |
| 305 | | Learning Based Distributed Tracking | | 0 | | Hao Wu, Junhao Gan, Rui Zhang | |
| 306 | | Tight Sensitivity Bounds For Smaller Coresets | | 0 | | Adiel Statman, Alaa Maalouf, Dan Feldman | |
| 307 | | Algorithmic Aspects of Temporal Betweenness | | 0 | | Hendrik Molter, Maciej Rymar, Rolf Niedermeier, Sebastian Buß | |
| 308 | | DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering | | 0 | | Gilad Katz, Lior Rokach, Roman Vainshtein, Yuval Heffetz | |
| 309 | | Algorithmic Decision Making with Conditional Fairness | | 0 | | Bo Li, Kun Kuang, Linjun Zhou, Peng Cui, Renzhe Xu, Wei Cui, Zheyan Shen | |
| 310 | | Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC | | 0 | | Akira Naruse, Kazuki Osawa, Rio Yokota, Yohei Tsuji, Yuichiro Ueno | |
| 311 | | Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation | | 0 | | Florian T. Pokorny, Vladislav Polianskii | |
| 312 | | Stable Learning via Differentiated Variable Decorrelation | | 0 | | Bo Li, Jiashuo Liu, Peng Cui, Tong Zhang, Zheyan Shen, Zhitang Chen | |
| 313 | | REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs | | 0 | | Guoxian Yu, Lu Yu, Shichao Pei, Xiangliang Zhang | |
| 314 | | CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis | | 0 | | Arpan Man Sainju, Chengming Zhang, Wenchong He, Zhe Jiang | |
| 315 | | Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns | | 0 | | Liang Sun, Qingsong Wen, Yan Li, Zhe Zhang | |
| 316 | | Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data | | 0 | | Fengli Xu, Shusheng Xu, Yong Li | |
| 317 | | Sub-Matrix Factorization for Real-Time Vote Prediction | | 0 | | Alexander Immer, Matthias Grossglauser, Patrick Thiran, Victor Kristof | |
| 318 | | Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine | | 0 | | Hao Liu, Huaibo Mei, Hui Xiong, Jingbo Zhou, Xu Ma, Yanjie Fu, Ying Li | |
| 319 | | Context-Aware Attentive Knowledge Tracing | | 0 | | Andrew S. Lan, Aritra Ghosh, Neil T. Heffernan | |
| 320 | | Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization | | 0 | | Eason Wang, Henggang Cui, Mohana Moorthy, Nemanja Djuric, Sai Yalamanchi | |
| 321 | | Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks | | 0 | | Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen, Xin Zhang, Xiujun Shu | |
| 322 | | Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs | | 0 | | Brandon Vargo, Marc Najork, Michael Bendersky, Mike Colagrosso, Weize Kong | |
| 323 | | What is that Building?: An End-to-end System for Building Recognition from Streetside Images | | 0 | | Chiqun Zhang, ChunTing Wu, Dragomir Yankov, Jason Hong, Simon Shapiro, Wei Wu | |
| 324 | | Hubble: An Industrial System for Audience Expansion in Mobile Marketing | | 0 | | Chenyi Zhuang, Guannan Zhang, Jianping Wei, Jinjie Gu, Jun Zhou, Yize Tan, Yuan Qi, Zhengwei Wu, Zhining Liu, Zhiqiang Zhang, Ziqi Liu | |
| 325 | | Combo-Attention Network for Baidu Video Advertising | | 0 | | Mingming Sun, Ping Li, Tan Yu, Xiaodong Chen, Yi Li, Yi Yang | |
| 326 | | Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data | | 0 | | Bin Gu, Heng Huang, Xiang Li, Zhiyuan Dang | |
| 327 | | Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning | | 0 | | Amarda Shehu, Jing Lei, Nasrin Akhter, Wanli Qiao | |
| 328 | | Map Generation from Large Scale Incomplete and Inaccurate Data Labels | | 0 | | Conrad M. Albrecht, David S. Kung, Rui Zhang, Siyuan Lu, Ulrich Finkler, Wei Zhang, Xiaodong Cui | |
| 329 | | Grale: Designing Networks for Graph Learning | | 0 | | Alexandru Mosoi, Bryan Perozzi, Jonathan Halcrow, Sam Ruth | |
| 330 | | CLARA: Confidence of Labels and Raters | | 0 | | Dimitris Kalimeris, Henry C. Lin, Jagdish Ramakrishnan, Jane Jing, Neil Chandra, Peibei Shi, Steve Metz, Udi Weinsberg, VietAn Nguyen | |
| 331 | | Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications | | 0 | | Ashkan Aazami, Binlong Li, Ebrahim Beyrami, Jamie Pool, Jayant Gupchup, Jeff Rowland, Johannes Gehrke, Pritesh Kanani, Ross Cutler, Vishak Gopal | |
| 332 | | Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts | | 0 | | Hongwei Li, Jiaquan Yao, Ping Luo, Qingping Yang, Yixuan Cao | |
| 333 | | Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps | | 0 | | Alan S. Li, Ata Akbari Asanjan, Juan TorresPerez, Kamalika Das, Soroosh Sorooshian, Ved Chirayath | |
| 334 | | Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments | | 0 | | Liangjie Hong, Tianbo Li, Xuan Yin, Zenan Wang | |
| 335 | | City Metro Network Expansion with Reinforcement Learning | | 0 | | Jianhua Zou, Minjia Mao, Ping An, Xi Zhao, Yu Wei | |
| 336 | | Faster Secure Data Mining via Distributed Homomorphic Encryption | | 0 | | Heng Huang, Junyi Li | |
| 337 | | Contagious Chain Risk Rating for Networked-guarantee Loans | | 0 | | Dawei Cheng, Yiyi Zhang, Zhibin Niu | |
| 338 | | Comprehensive Information Integration Modeling Framework for Video Titling | | 0 | | Fei Wu, Hongxia Yang, Jin Yu, Jingren Zhou, Kun Kuang, Shengyu Zhang, Tan Jiang, Zhou Zhao, Ziqi Tan | |
| 339 | | Acoustic Measures for Real-Time Voice Coaching | | 0 | | Abraham Miller, Arthur Liu, Kyle Coburn, Luis J. Salazar, Ying Li | |
| 340 | | Geodemographic Influence Maximization | | 0 | | Donglai Tao, Hui Xiong, Jingbo Zhou, Kaichen Zhang, Panagiotis Karras, Qing Li | |
| 341 | | LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition | | 0 | | Jian Li, Jin Xu, Sheng Zhao, Tao Qin, TieYan Liu, Xu Tan, Yi Ren | |
| 342 | | Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories | | 0 | | Cheng Long, Jie Bao, Ruiyuan Li, Shengnan Wu, Sijie Ruan, Tianfu He, Yiheng Chen, Yu Zheng, Zhongyuan Jiang, Zi Xiong | |
| 343 | | Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities | | 0 | | Kota Tsubouchi, Satish V. Ukkusuri, Takahiro Yabe, Toru Shimizu, Yoshihide Sekimoto | |
| 344 | | Forecasting the Evolution of Hydropower Generation | | 0 | | Fan Zhou, Fuming Yao, Goce Trajcevski, Jiahao Wang, Kunpeng Zhang, Liang Li, Qiao Liu, Ting Zhong, Ying Huang | |
| 345 | | Salience and Market-aware Skill Extraction for Job Targeting | | 0 | | Baoxu Shi, Feng Guo, Jaewon Yang, Qi He | |
| 346 | | Molecular Inverse-Design Platform for Material Industries | | 0 | | Akihiro Fujita, Daiju Nakano, Daniel P. Sanders, Dmitry Zubarev, Hideaki Nakashika, Hiroki Toda, HsiangHan Hsu, Jed W. Pitera, Katsuhiko Hino, Kentaro Yano, Makoto Kogoh, Seiji Takeda, Shuichi Hirose, Takumi Hongo, Toshiyuki Hama, Victoria A. Piunova, Wolf Bocanett, Yasumitsu Orii, Yenwei Cheng, Yuta Tsuchiya | |
| 347 | | Learning to Score Economic Development from Satellite Imagery | | 0 | | Donghyun Ahn, Hyunjoo Yang, Jeasurk Yang, Jihee Kim, Meeyoung Cha, Sangyoon Park, Sungwon Han, Sungwon Park, Susang Lee | |
| 348 | | A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation | | 0 | | Cong Tang, Hong Zhang, Lan Xu, Lan Zhang, Wei Xu, Xiaoyang Ma, Yiguo Yang, Zhengtao Wu | |
| 349 | | Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning | | 0 | | Jian Liang, Kun Bai, Qiang Yang, Yangqiu Song, Yinghua Zhang | |
| 350 | | Balanced Order Batching with Task-Oriented Graph Clustering | | 0 | | Guozheng Li, Haoyuan Hu, Lu Duan, Xinhang Zhang, Yinghui Xu, Yu Gong, Zili Wu | |
| 351 | | Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach | | 0 | | Haoyuan Hu, Jiangwen Wei, Lu Duan, Xiaodong Zhang, Yang Zhan, Yinghui Xu, Yu Gong | |
| 352 | | Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data | | 0 | | Chenguang Ji, Kaikui Liu, Qian Gu, Rui Dai, Shenkun Xu | |
| 353 | | Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers | | 0 | | Amulya Yadav, Anamika BarmanAdhikari, Dongwon Lee, Heesoo Park, Maryam Tabar, Stephanie Winkler | |
| 354 | | Interleaved Sequence RNNs for Fraud Detection | | 0 | | Ana Sofia Gomes, Bernardo Branco, João Tiago Ascensão, Mariana S. C. Almeida, Pedro Abreu, Pedro Bizarro | |
| 355 | | Pest Management In Cotton Farms: An AI-System Case Study from the Global South | | 0 | | Aman Dalmia, Ankit Chaurasia, Balasaheb Dhame, Dhruvin Vora, Jerome White, Raghu Dharmaraju, Rahul Panicker, Rajesh Jain, Vishal Agarwal | |
| 356 | | Price Investment using Prescriptive Analytics and Optimization in Retail | | 0 | | Avinash Thangali, Dnyanesh Kulkarni, Harshada Vuyyuri, Karthick Gopalswamy, Ketki Gupte, Linsey Pang, Prakhar Mehrotra, Sunil Potnuru, Supreeth Shastry, Timothy Winters | |
| 357 | | Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion | | 0 | | Auroop R. Ganguly, Jennifer G. Dy, Yumin Liu | |
| 358 | | Prediction of Hourly Earnings and Completion Time on a Crowdsourcing Platform | | 0 | | Alexey Drutsa, Anastasia A. Bezzubtseva, Anna Lioznova, Vladimir Kukushkin | |
| 359 | | Taming Pretrained Transformers for Extreme Multi-label Text Classification | | 0 | | HsiangFu Yu, Inderjit S. Dhillon, Kai Zhong, WeiCheng Chang, Yiming Yang | |
| 360 | | Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction | | 0 | | Han Zhang, Jieping Ye, Lin Bo, Wenjuan Luo, Xiaodi Yang, Xiaohu Qie, Xiaoqing Yang, Zang Li | |
| 361 | | BusTr: Predicting Bus Travel Times from Real-Time Traffic | | 0 | | Alex Fabrikant, Andrew Tomkins, Fangzhou Xu, James Cook, Richard Barnes, Senaka Buthpitiya | |
| 362 | | Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services | | 0 | | George Ma, Guy Jacobson, Raif M. Rustamov, Shuai Zhao, Tan Xu, WenLing Hsu | |
| 363 | | CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning | | 0 | | ChulHo Lee, Jangsoo Lee, Xin Huang, YoungWoo Kwon | |
| 364 | | DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services | | 0 | | Justin Ormont, Lukas Dauterman, Navendu Jain, Phuong Pham, Vivek Jain | |
| 365 | | An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images | | 0 | | Basel Shbita, Craig A. Knoblock, Johannes H. Uhl, Sasan Tavakkol, Stefan Leyk, YaoYi Chiang, Zekun Li | |
| 366 | | Explainable Classification of Brain Networks via Contrast Subgraphs | | 0 | | Aristides Gionis, Francesco Bonchi, Tommaso Lanciano | |
| 367 | | CompactETA: A Fast Inference System for Travel Time Prediction | | 0 | | Fanlin Meng, Jieping Ye, Kun Fu, Zheng Wang | |
| 368 | | Hypergraph Convolutional Recurrent Neural Network | | 0 | | Jaehyuk Yi, Jinkyoo Park | |
| 369 | | Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time | | 0 | | Chao Xiong, Che Liu, Jieping Ye, Junfeng Jiang, Yi Yang | |
| 370 | | USAD: UnSupervised Anomaly Detection on Multivariate Time Series | | 0 | | Frédéric Guyard, Julien Audibert, Maria A. Zuluaga, Pietro Michiardi, Sébastien Marti | |
| 371 | | Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization | | 0 | | Ashish Gupta, Rishabh Mehrotra | |
| 372 | | Data-driven Simulation and Optimization for Covid-19 Exit Strategies | | 0 | | Jacques Klein, Lisa Veiber, Maxime Cordy, Mike Papadakis, Renaud Rwemalika, Salah Ghamizi, Tegawendé F. Bissyandé, Yves Le Traon | |
| 373 | | Learning to Simulate Human Mobility | | 0 | | Fengli Xu, Haisu Yu, Jie Feng, Mudan Wang, Yong Li, Zeyu Yang | |
| 374 | | Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases | | 0 | | Bonaventure C. Molokwu, Shaon Bhatta Shuvo, Ziad Kobti | |
| 375 | | Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea | | 0 | | Dongmin Park, Doyoung Kim, Hwanjun Song, Hyangsuk Min, JaeGil Lee, Junhyeok Kang, Minseok Kim, Youngeun Nam | |
| 376 | | Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data | | 0 | | Fengli Xu, Lin Chen, Qianyue Hao, Yong Li | |
| 377 | | Put Deep Learning to Work: Accelerate Deep Learning through Amazon SageMaker and ML Services | | 0 | | Miro Enev, Rachel Hu, Wenming Ye | |
| 378 | | How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model | | 0 | | Alan Mosca, Carlos Ledezma, Dan Murphy, Joao Gante, Natalia Culakova, Vahan Hovhannisyan | |
| 379 | | Neural Structured Learning: Training Neural Networks with Structured Signals | | 0 | | Allan Heydon, Arjun Gopalan, Cesar Ilharco Magalhaes, ChunSung Ferng, ChunTa Lu, DaCheng Juan, George Yu, Philip Pham | |
| 380 | | Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS | | 0 | | Bartley Richardson, Bradley Rees, David A. Bader, Even Oldridge, Rachel Allen, Tom Drabas | |
| 381 | | DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters | | 0 | | Jeff Rasley, Olatunji Ruwase, Samyam Rajbhandari, Yuxiong He | |
| 382 | | Robust Deep Learning Methods for Anomaly Detection | | 0 | | Nguyen Lu Dang Khoa, Raghavendra Chalapathy, Sanjay Chawla | |
| 383 | | Computer Vision: Deep Dive into Object Segmentation Approaches | | 0 | | Ala Eddine Ayadi, Estelle Afshar, Matthew S. Hagen, Osama Sakhi, Yuanbo Wang | |
| 384 | | Scalable Graph Neural Networks with Deep Graph Library | | 0 | | Da Zheng, George Karypis, Minjie Wang, Quan Gan, Zheng Zhang | |
| 385 | | Introduction to Computer Vision and Real Time Deep Learning-based Object Detection | | 0 | | James G. Shanahan, Liang Dai | |
| 386 | | Physics Inspired Models in Artificial Intelligence | | 0 | | Muhammad Aurangzeb Ahmad, Sener Özönder | |
| 387 | | Scientific Text Mining and Knowledge Graphs | | 0 | | Jingbo Shang, Meng Jiang | |
| 388 | | Learning with Small Data | | 0 | | Huaxiu Yao, Vipin Kumar, Xiaowei Jia, Zhenhui Li | |
| 389 | | Adversarial Attacks and Defenses: Frontiers, Advances and Practice | | 0 | | Han Xu, Jiliang Tang, Wei Jin, Yaxin Li | |
| 390 | | Recent Advances on Graph Analytics and Its Applications in Healthcare | | 0 | | Chengxi Zang, Fei Wang, Jian Pei, Peng Cui, Yangqiu Song | |
| 391 | | Tutorial on Human-Centered Explainability for Healthcare | | 0 | | Amit Dhurandhar, Bum Chul Kwon, Daby Sow, Daniel Gruen, Kenney Ng, Kush R. Varshney, Prithwish Chakraborty, Sanjoy Dey | |
| 392 | | Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web | | 0 | | Colin Lockard, Hannaneh Hajishirzi, Prashant Shiralkar, Xin Luna Dong | |
| 393 | | Recent Advances in Multimodal Educational Data Mining in K-12 Education | | 0 | | Jiliang Tang, Neil T. Heffernan, Rose Luckin, Songfan Yang, Zitao Liu | |
| 394 | | Data Pricing - From Economics to Data Science | | 0 | | Jian Pei | |
| 395 | | Deep Graph Learning: Foundations, Advances and Applications | | 0 | | Hong Cheng, Junzhou Huang, Lingfei Wu, Tengfei Ma, Tingyang Xu, Tyler Derr, Wenbing Huang, Yao Ma, Yiqi Wang, Yu Rong | |
| 396 | | Data Science for the Real Estate Industry | | 0 | | Foster J. Provost, Ron Bekkerman, Vanja Josifovski | |
| 397 | | Multi-modal Network Representation Learning | | 0 | | Chuxu Zhang, Meng Jiang, Nitesh V. Chawla, Xiangliang Zhang, Yanfang Ye | |
| 398 | | Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data | | 0 | | Jaesik Choi | |
| 399 | | Edge AI: Systems Design and ML for IoT Data Analytics | | 0 | | Diana Marculescu, Radu Marculescu, Ümit Y. Ogras | |
| 400 | | Data Sketching for Real Time Analytics: Theory and Practice | | 0 | | Daniel Ting, Jonathan Malkin, Lee Rhodes | |
| 401 | | Deep Learning for Anomaly Detection | | 0 | | Bo Long, Kexin Nie, Ruoying Wang, Tie Wang, Xinwei Gong, Yang Yang, YenJung Chang | |
| 402 | | Deep Learning for Industrial AI: Challenges, New Methods and Best Practices | | 0 | | Ahmed K. Farahat, Chetan Gupta | |
| 403 | | Data-Driven Never-Ending Learning Question Answering Systems | | 0 | | Estevam R. Hruschka Jr. | |
| 404 | | Diversity and Inclusion, a Perspective from a Four Years MSI Faculty Member | | 0 | | Eliana Valenzuela Andrade | |
| 405 | | How Can Computer Science Education Address Inequities | | 0 | | Manuel A. PérezQuiñones | |
| 406 | | CoRE Lab - An Effort to Engage College Hispanic Students in STEM | | 0 | | Wilson E. LozanoRolon | |
| 407 | | Support for Diverse Students | | 0 | | Daniel A. Jiménez | |
| 408 | | Broadening Participation in Technology Policy | | 0 | | Brianna B. Posadas | |
| 409 | | Perspectives on Broadening Participation in STEM Careers across Academia, Government, and Industry | | 0 | | Hasan Jackson | |
| 410 | | The Illusion of Inclusion: Large Scale Genomic Data Sovereignty and Indigenous Populations | | 0 | | Keolu Fox | |
| 411 | | Models of Data Governance and Advancing Indigenous Genomic Data Sovereignty | | 0 | | Krystal S. Tsosie | |
| 412 | | Mutually Beneficial Collaborations to Broaden Participation of Hispanics in Data Science | | 0 | | Patricia Ordóñez Franco | |
| 413 | | Bringing Inclusive Diversity to Data Science: Opportunities and Challenges | | 0 | | Heriberto Acosta Maestre | |
| 414 | | The Data Science Mentoring Fire Next Time: Innovative Strategies for Mentoring in Data Science | | 0 | | Heriberto Acosta Maestre, Latifa Jackson | |
| 415 | | Straddling the Boundary between Contribution and Solution Driven Science | | 0 | | Daniel Marcu | |
| 416 | | Artificial Intelligence for Healthcare | | 0 | | Dorin Comaniciu | |
| 417 | | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis | | 0 | | Nhung Ho | |
| 418 | | Toward Responsible AI by Planning to Fail | | 0 | | Saleema Amershi | |
| 419 | | Unleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens | | 0 | | WangChiew Tan | |
| 420 | | Innovating with Language AI | | 0 | | Ashwin Ram | |
| 421 | | Data Paucity and Low Resource Scenarios: Challenges and Opportunities | | 0 | | Mona T. Diab | |