| 2021 | 2021 KDD Workshop on Understanding Public Perceptions for Applied Data Science: How Important is it to Engage Society in Technology Development? ChanGhee Koh, Soyoung Kim, Nathaniel Tan |
| 2021 | 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki |
| 2021 | 2nd International Workshop on Data Quality Assessment for Machine Learning. Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi |
| 2021 | 2nd International Workshop on Industrial Recommendation Systems (IRS). Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu |
| 2021 | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. Xiaoqiang Zhu, Kuang-Chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 2021 | A Bayesian Approach to In-Game Win Probability in Soccer. Pieter Robberechts, Jan Van Haaren, Jesse Davis |
| 2021 | A Broader Picture of Random-walk Based Graph Embedding. Zexi Huang, Arlei Silva, Ambuj K. Singh |
| 2021 | A Color-blind 3-Approximation for Chromatic Correlation Clustering and Improved Heuristics. Nicolas Klodt, Lars Seifert, Arthur Zahn, Katrin Casel, Davis Issac, Tobias Friedrich |
| 2021 | A Deep Learning Method for Route and Time Prediction in Food Delivery Service. Chengliang Gao, Fan Zhang, Guanqun Wu, Qiwan Hu, Qiang Ru, Jinghua Hao, Renqing He, Zhizhao Sun |
| 2021 | A Difficulty-Aware Framework for Churn Prediction and Intervention in Games. Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma |
| 2021 | A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions. Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai |
| 2021 | A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang |
| 2021 | A Hyper-surface Arrangement Model of Ranking Distributions. Shizuo Kaji, Akira Horiguchi, Takuro Abe, Yohsuke Watanabe |
| 2021 | A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He |
| 2021 | A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples. Hong Yu, Jia Tang, Guoyin Wang, Xinbo Gao |
| 2021 | A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2021 | A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps. Léa Briand, Guillaume Salha-Galvan, Walid Bendada, Mathieu Morlon, Viet-Anh Tran |
| 2021 | A Stagewise Hyperparameter Scheduler to Improve Generalization. Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang |
| 2021 | A Transformer-based Framework for Multivariate Time Series Representation Learning. George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff |
| 2021 | A Unified Solution to Constrained Bidding in Online Display Advertising. Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu |
| 2021 | A Visual Tour of Bias Mitigation Techniques for Word Representations. Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang |
| 2021 | ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park |
| 2021 | ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence-enabled Cybersecurity Analytics. Sagar Samtani, Shanchieh Yang, Hsinchun Chen |
| 2021 | Accelerating Set Intersections over Graphs by Reducing-Merging. Weiguo Zheng, Yifan Yang, Chengzhi Piao |
| 2021 | Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts. Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang |
| 2021 | AdKDD 2021. Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan |
| 2021 | Adaptive Transfer Learning on Graph Neural Networks. Xueting Han, Zhenhuan Huang, Bang An, Jing Bai |
| 2021 | Addressing Non-Representative Surveys using Multiple Instance Learning. Yaniv Katz, Oded Vainas |
| 2021 | Advances in Mining Heterogeneous Healthcare Data. Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun |
| 2021 | Adversarial Attacks on Deep Models for Financial Transaction Records. Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev |
| 2021 | Adversarial Feature Translation for Multi-domain Recommendation. Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin |
| 2021 | Adversarial Robustness in Deep Learning: From Practices to Theories. Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang |
| 2021 | Aggregating Complex Annotations via Merging and Matching. Alexander Braylan, Matthew Lease |
| 2021 | AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen |
| 2021 | AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce. Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, Keping Yang |
| 2021 | All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe |
| 2021 | All You Need to Know to Build a Product Knowledge Graph. Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong |
| 2021 | Alphacore: Data Depth based Core Decomposition. Friedhelm Victor, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu |
| 2021 | Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau |
| 2021 | Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi |
| 2021 | An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores |
| 2021 | An Efficient Framework for Balancing Submodularity and Cost. Sofia Maria Nikolakaki, Alina Ene, Evimaria Terzi |
| 2021 | An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs. Shiju Li, Xin Huang, Chul-Ho Lee |
| 2021 | An Embedding Learning Framework for Numerical Features in CTR Prediction. Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He |
| 2021 | An Experimental Study of Quantitative Evaluations on Saliency Methods. Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen |
| 2021 | Analysis and Applications of Class-wise Robustness in Adversarial Training. Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang |
| 2021 | Analysis of Faces in a Decade of US Cable TV News. James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian |
| 2021 | Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich |
| 2021 | Approximate Graph Propagation. Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen |
| 2021 | Architecture and Operation Adaptive Network for Online Recommendations. Lang Lang, Zhenlong Zhu, Xuanye Liu, Jianxin Zhao, Jixing Xu, Minghui Shan |
| 2021 | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
| 2021 | Artificial Intelligence for Drug Discovery. Jian Tang, Fei Wang, Feixiong Cheng |
| 2021 | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
| 2021 | AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel |
| 2021 | Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong |
| 2021 | Auditing for Diversity Using Representative Examples. Vijay Keswani, L. Elisa Celis |
| 2021 | Auto-Split: A General Framework of Collaborative Edge-Cloud AI. Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang |
| 2021 | AutoLoss: Automated Loss Function Search in Recommendations. Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang |
| 2021 | AutoML: A Perspective where Industry Meets Academy. Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang |
| 2021 | AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data. Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng |
| 2021 | Automated Machine Learning on Graph. Xin Wang, Wenwu Zhu |
| 2021 | Automated Mechanism Design for Strategic Classification: Abstract for KDD'21 Keynote Talk. Vincent Conitzer |
| 2021 | Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies. Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon |
| 2021 | BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns |
| 2021 | Balancing Consistency and Disparity in Network Alignment. Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo |
| 2021 | Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages. Cyrus Cousins, Chloe Wohlgemuth, Matteo Riondato |
| 2021 | Bayesian Causal Inference for Real World Interactive Systems. Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang |
| 2021 | BiblioDAP'21: The 1st Workshop on Bibliographic Data Analysis and Processing. Zeyd Boukhers, Philipp Mayr, Silvio Peroni |
| 2021 | Bipartite Dynamic Representations for Abuse Detection. Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders. Negin Golrezaei, Max Lin, Vahab S. Mirrokni, Hamid Nazerzadeh |
| 2021 | Bootstrapping Recommendations at Chrome Web Store. Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | Bootstrapping for Batch Active Sampling. Heinrich Jiang, Maya R. Gupta |
| 2021 | Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns. Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma |
| 2021 | Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits. Benjamin Han, Carl Arndt |
| 2021 | Categorization of Financial Transactions in QuickBooks. Juan Liu, Lei Pei, Ying Sun, Heather Simpson, Jocelyn Lu, Nhung Ho |
| 2021 | Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee |
| 2021 | Causal Inference from Network Data. Elena Zheleva, David Arbour |
| 2021 | Causal Models for Real Time Bidding with Repeated User Interactions. Martin Bompaire, Alexandre Gilotte, Benjamin Heymann |
| 2021 | Causal Understanding of Fake News Dissemination on Social Media. Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu |
| 2021 | Causal and Interpretable Rules for Time Series Analysis. Amin Dhaou, Antoine Bertoncello, Sébastien Gourvénec, Josselin Garnier, Erwan Le Pennec |
| 2021 | Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong |
| 2021 | Challenges in KDD and ML for Sustainable Development. Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami |
| 2021 | Choice Set Confounding in Discrete Choice. Kiran Tomlinson, Johan Ugander, Austin R. Benson |
| 2021 | Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse. Martin Valdez-Vivas, Varun Sharma, Nick Stanisha, Shan Li, Luo Mi, Wei Jiang, Alex Kalinin, Josh Metzler |
| 2021 | Cluster-Reduce: Compressing Sketches for Distributed Data Streams. Yikai Zhao, Zheng Zhong, Yuanpeng Li, Yi Zhou, Yifan Zhu, Li Chen, Yi Wang, Tong Yang |
| 2021 | Clustering for Private Interest-based Advertising. Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang |
| 2021 | Context-aware Outstanding Fact Mining from Knowledge Graphs. Yueji Yang, Yuchen Li, Panagiotis Karras, Anthony K. H. Tung |
| 2021 | Contextual Bandit Applications in a Customer Support Bot. Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen |
| 2021 | Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang |
| 2021 | Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. Hao Xiong, Junchi Yan, Li Pan |
| 2021 | ControlBurn: Feature Selection by Sparse Forests. Brian Liu, Miaolan Xie, Madeleine Udell |
| 2021 | Controllable Generation from Pre-trained Language Models via Inverse Prompting. Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang |
| 2021 | Counterfactual Explanations in Explainable AI: A Tutorial. Cong Wang, Xiao-Hui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen |
| 2021 | Counterfactual Graphs for Explainable Classification of Brain Networks. Carlo Abrate, Francesco Bonchi |
| 2021 | Coupled Graph ODE for Learning Interacting System Dynamics. Zijie Huang, Yizhou Sun, Wei Wang |
| 2021 | Creating Recommender Systems Datasets in Scientific Fields. Márcia Barros, Francisco M. Couto, Matilde Pato, Pedro Ruas |
| 2021 | Cross-Network Learning with Partially Aligned Graph Convolutional Networks. Meng Jiang |
| 2021 | Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. Chuizheng Meng, Sirisha Rambhatla, Yan Liu |
| 2021 | Curriculum Meta-Learning for Next POI Recommendation. Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu |
| 2021 | DARING: Differentiable Causal Discovery with Residual Independence. Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang |
| 2021 | DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing. Bohan Zhao, Xiang Li, Boyu Tian, Zhiyu Mei, Wenfei Wu |
| 2021 | DI-2021: The Second Document Intelligence Workshop. Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep Tata |
| 2021 | DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction. Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang |
| 2021 | Data Efficient Learning on Graphs. Chuxu Zhang, Jundong Li, Meng Jiang |
| 2021 | Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao |
| 2021 | Data Poisoning Attacks Against Outcome Interpretations of Predictive Models. Hengtong Zhang, Jing Gao, Lu Su |
| 2021 | Data Pricing and Data Asset Governance in the AI Era. Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu |
| 2021 | Data Quality for Machine Learning Tasks. Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala |
| 2021 | Data Science for Assembly Engineering. Sharon C. Glotzer |
| 2021 | Data Science on Blockchains. Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel |
| 2021 | Data Science with Human in the Loop. Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic |
| 2021 | Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi |
| 2021 | DeGNN: Improving Graph Neural Networks with Graph Decomposition. Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang |
| 2021 | Debiasing Learning based Cross-domain Recommendation. Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen |
| 2021 | Deconfounded Recommendation for Alleviating Bias Amplification. Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua |
| 2021 | Deep Clustering based Fair Outlier Detection. Hanyu Song, Peizhao Li, Hongfu Liu |
| 2021 | Deep Generative Models for Spatial Networks. Xiaojie Guo, Yuanqi Du, Liang Zhao |
| 2021 | Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy. Zai Huang, Mingyuan Tao, Bufeng Zhang |
| 2021 | Deep Learning Embeddings for Data Series Similarity Search. Qitong Wang, Themis Palpanas |
| 2021 | Deep Learning based Crop Row Detection with Online Domain Adaptation. Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran |
| 2021 | Deep Learning on Graphs for Natural Language Processing. Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2021 | DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye |
| 2021 | Defending Privacy Against More Knowledgeable Membership Inference Attackers. Yu Yin, Ke Chen, Lidan Shou, Gang Chen |
| 2021 | Device-Cloud Collaborative Learning for Recommendation. Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang |
| 2021 | Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie |
| 2021 | Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement. Changhun Lee, Soohyeok Kim, Chiehyeon Lim, Jayun Kim, Yeji Kim, Minyoung Jung |
| 2021 | DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang |
| 2021 | Differentiable Pattern Set Mining. Jonas Fischer, Jilles Vreeken |
| 2021 | Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu |
| 2021 | Dip-based Deep Embedded Clustering with k-Estimation. Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant |
| 2021 | Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King |
| 2021 | DisenQNet: Disentangled Representation Learning for Educational Questions. Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong |
| 2021 | Diversity driven Query Rewriting in Search Advertising. Akash Kumar Mohankumar, Nikit Begwani, Amit Singh |
| 2021 | Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel |
| 2021 | Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon |
| 2021 | Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen |
| 2021 | Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction. Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin |
| 2021 | Dual Graph enhanced Embedding Neural Network for CTR Prediction. Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He |
| 2021 | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
| 2021 | Dynamic Language Models for Continuously Evolving Content. Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork |
| 2021 | Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar |
| 2021 | Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong |
| 2021 | ELITE: Robust Deep Anomaly Detection with Meta Gradient. Huayi Zhang, Lei Cao, Peter M. VanNostrand, Samuel Madden, Elke A. Rundensteiner |
| 2021 | EXACTA: Explainable Column Annotation. Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan |
| 2021 | Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization. Xuejun Liao, Patrick Koch, Shunping Huang, Yan Xu |
| 2021 | Efficient Data-specific Model Search for Collaborative Filtering. Chen Gao, Quanming Yao, Depeng Jin, Yong Li |
| 2021 | Efficient Incremental Computation of Aggregations over Sliding Windows. Chao Zhang, Reza Akbarinia, Farouk Toumani |
| 2021 | Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings. Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin |
| 2021 | Embedding-based Product Retrieval in Taobao Search. Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma |
| 2021 | Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning. Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang |
| 2021 | Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie |
| 2021 | Enhancing SVMs with Problem Context Aware Pipeline. Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen |
| 2021 | Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang |
| 2021 | Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets. Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian |
| 2021 | Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang |
| 2021 | Explainability for Natural Language Processing. Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, Anbang Xu |
| 2021 | Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang |
| 2021 | Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee |
| 2021 | Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. Hao Xue, Flora D. Salim |
| 2021 | Extreme Multi-label Learning for Semantic Matching in Product Search. Wei-Cheng Chang, Daniel L. Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon |
| 2021 | Extremely Compact Non-local Representation Learning. Ansheng You, Xiangzeng Zhou, Yingya Zhang, Pan Pan, Yinghui Xu |
| 2021 | FASER: Seismic Phase Identifier for Automated Monitoring. Farhan Asif Chowdhury, M. Ashraf Siddiquee, Glenn Eli Baker, Abdullah Mueen |
| 2021 | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | FLOP: Federated Learning on Medical Datasets using Partial Networks. Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin |
| 2021 | Fairness and Explanation in Clustering and Outlier Detection. Ian Davidson |
| 2021 | Fairness in Networks: Social Capital, Information Access, and Interventions. Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset |
| 2021 | Fairness-Aware Online Meta-learning. Chen Zhao, Feng Chen, Bhavani Thuraisingham |
| 2021 | Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic. Preslav Nakov, Giovanni Da San Martino |
| 2021 | Fast One-class Classification using Class Boundary-preserving Random Projections. Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur |
| 2021 | Fast Rotation Kernel Density Estimation over Data Streams. Runze Lei, Pinghui Wang, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan, Chao Deng |
| 2021 | Fast and Accurate Partial Fourier Transform for Time Series Data. Yong-chan Park, Jun-Gi Jang, U Kang |
| 2021 | Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. Jun-Gi Jang, U Kang |
| 2021 | Faster and Generalized Temporal Triangle Counting, via Degeneracy Ordering. Noujan Pashanasangi, C. Seshadhri |
| 2021 | Fed2: Feature-Aligned Federated Learning. Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen |
| 2021 | FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. Xin-Chun Li, De-Chuan Zhan |
| 2021 | Federated Adversarial Debiasing for Fair and Transferable Representations. Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou |
| 2021 | Filtration Curves for Graph Representation. Leslie O'Bray, Bastian Rieck, Karsten M. Borgwardt |
| 2021 | Fine-Grained System Identification of Nonlinear Neural Circuits. Dawna Bagherian, James Gornet, Jeremy Bernstein, Yu-Li Ni, Yisong Yue, Markus Meister |
| 2021 | FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso |
| 2021 | Forecasting Interaction Order on Temporal Graphs. Wenwen Xia, Yuchen Li, Jianwei Tian, Shenghong Li |
| 2021 | Fragile Earth: Accelerating Progress towards Equitable Sustainability. Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan |
| 2021 | From Deep Learning to Deep Reasoning. Truyen Tran, Vuong Le, Hung Le, Thao Minh Le |
| 2021 | From Tables to Knowledge: Recent Advances in Table Understanding. Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen |
| 2021 | Fruit-fly Inspired Neighborhood Encoding for Classification. Kaushik Sinha, Parikshit Ram |
| 2021 | GEM: Translation-Free Zero-Shot Global Entity Matcher for Global Catalogs. Karim Bouyarmane |
| 2021 | Gaussian Process with Graph Convolutional Kernel for Relational Learning. Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
| 2021 | Generalized Zero-Shot Extreme Multi-label Learning. Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma |
| 2021 | Generating Mobility Trajectories with Retained Data Utility. Chu Cao, Mo Li |
| 2021 | Geometric Graph Representation Learning on Protein Structure Prediction. Tian Xia, Wei-Shinn Ku |
| 2021 | Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs. Jialin Dong, Da Zheng, Lin F. Yang, George Karypis |
| 2021 | Globally Optimized Matchmaking in Online Games. Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui |
| 2021 | Graph Adversarial Attack via Rewiring. Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang |
| 2021 | Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry |
| 2021 | Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. Zhixuan Chu, Stephen L. Rathbun, Sheng Li |
| 2021 | Graph Representation Learning: Foundations, Methods, Applications and Systems. Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu |
| 2021 | Graph Similarity Description: How Are These Graphs Similar? Corinna Coupette, Jilles Vreeken |
| 2021 | Graph Summarization with Controlled Utility Loss. Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo |
| 2021 | H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang |
| 2021 | HALO: Hierarchy-aware Fault Localization for Cloud Systems. Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps. Jizhou Huang, Haifeng Wang, Yibo Sun, Miao Fan, Zhengjie Huang, Chunyuan Yuan, Yawen Li |
| 2021 | HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song |
| 2021 | HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha |
| 2021 | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong |
| 2021 | Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information. Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li |
| 2021 | Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters. Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman |
| 2021 | High-Dimensional Similarity Query Processing for Data Science. Jianbin Qin, Wei Wang, Chuan Xiao, Ying Zhang, Yaoshu Wang |
| 2021 | How Interpretable and Trustworthy are GAMs? Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana |
| 2021 | Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu |
| 2021 | ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks. Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin |
| 2021 | Improve Learning from Crowds via Generative Augmentation. Zhendong Chu, Hongning Wang |
| 2021 | Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell |
| 2021 | Improving the Information Disclosure in Mobility-on-Demand Systems. Yue Yang, Yuan Shi, Dejian Wang, Qisheng Chen, Lei Xu, Hanqian Li, Zhouyu Fu, Xin Li, Hao Zhang |
| 2021 | Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction. Yu Zheng, Yongxin Yang, Bowei Chen |
| 2021 | Indirect Invisible Poisoning Attacks on Domain Adaptation. Jun Wu, Jingrui He |
| 2021 | Individual Fairness for Graph Neural Networks: A Ranking based Approach. Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li |
| 2021 | Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert |
| 2021 | Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao |
| 2021 | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang |
| 2021 | Interactive Audience Expansion On Large Scale Online Visitor Data. Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire |
| 2021 | International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications. Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda |
| 2021 | Interpretable Drug Response Prediction using a Knowledge-based Neural Network. Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester |
| 2021 | Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes. Sohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi |
| 2021 | JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong |
| 2021 | JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework. Ding Wang, Pang-Ning Tan |
| 2021 | Joint Graph Embedding and Alignment with Spectral Pivot. Paris A. Karakasis, Aritra Konar, Nicholas D. Sidiropoulos |
| 2021 | KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021 Feida Zhu, Beng Chin Ooi, Chunyan Miao |
| 2021 | KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review. Nihar B. Shah |
| 2021 | KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health. Fei Wang, Prithwish Chakraborty, Tao Xu, Pei-Yun Sabrina Hsueh, Xudong Sun, Gregor Stiglic, Gracy Crane, Jiang Bian, Laleh Haghverdi, Lixia Yao, Florian Buettner |
| 2021 | Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains. Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang |
| 2021 | Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification. Jiawen Zhang, Jiaqi Zhu, Yi Yang, Wandong Shi, Congcong Zhang, Hongan Wang |
| 2021 | Knowledge-Guided Efficient Representation Learning for Biomedical Domain. Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang |
| 2021 | KompaRe: A Knowledge Graph Comparative Reasoning System. Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong |
| 2021 | Labeled Data Generation with Inexact Supervision. Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang |
| 2021 | Lambda Learner: Fast Incremental Learning on Data Streams. Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar |
| 2021 | Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework. Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng, Kai Zheng |
| 2021 | Language Scaling: Applications, Challenges and Approaches. Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang |
| 2021 | Large-Scale Data-Driven Airline Market Influence Maximization. Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park |
| 2021 | Large-Scale Network Embedding in Apache Spark. Wenqing Lin |
| 2021 | Large-Scale Subspace Clustering via k-Factorization. Jicong Fan |
| 2021 | LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen |
| 2021 | Learning Based Proximity Matrix Factorization for Node Embedding. Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang |
| 2021 | Learning Elastic Embeddings for Customizing On-Device Recommenders. Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang |
| 2021 | Learning How to Propagate Messages in Graph Neural Networks. Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang |
| 2021 | Learning Interpretable Feature Context Effects in Discrete Choice. Kiran Tomlinson, Austin R. Benson |
| 2021 | Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport. Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian |
| 2021 | Learning Process-consistent Knowledge Tracing. Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang |
| 2021 | Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He |
| 2021 | Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yufeng Li |
| 2021 | Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang |
| 2021 | Learning to Embed Categorical Features without Embedding Tables for Recommendation. Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi |
| 2021 | Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao |
| 2021 | Learning to Recommend Visualizations from Data. Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan |
| 2021 | Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. Jaehun Jung, Jinhong Jung, U Kang |
| 2021 | Leveraging Latent Features for Local Explanations. Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu |
| 2021 | Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi |
| 2021 | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu |
| 2021 | Local Algorithms for Estimating Effective Resistance. Pan Peng, Daniel Lopatta, Yuichi Yoshida, Gramoz Goranci |
| 2021 | M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang |
| 2021 | MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks. Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang |
| 2021 | MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman |
| 2021 | MLHat: Deployable Machine Learning for Security Defense. Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh |
| 2021 | MPCSL - A Modular Pipeline for Causal Structure Learning. Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner |
| 2021 | MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun |
| 2021 | MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning. Huimin Ren, Sijie Ruan, Yanhua Li, Jie Bao, Chuishi Meng, Ruiyuan Li, Yu Zheng |
| 2021 | MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. Mike A. Merrill, Ge Zhang, Tim Althoff |
| 2021 | MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling. Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato |
| 2021 | Machine Learning Explainability and Robustness: Connected at the Hip. Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang |
| 2021 | Machine Learning Robustness, Fairness, and their Convergence. Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang |
| 2021 | Machine Learning for Consumers and Markets. Wen Wang, Han Zhao, Dokyun Lee, George H. Chen |
| 2021 | Machine Learning in Finance. Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. Rodríguez-Serrano, Tanveer A. Faruquie, Saurabh Nagrecha |
| 2021 | MapEmbed: Perfect Hashing with High Load Factor and Fast Update. Yuhan Wu, Zirui Liu, Xiang Yu, Jie Gui, Haochen Gan, Yuhao Han, Tao Li, Ori Rottenstreich, Tong Yang |
| 2021 | Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach. Junhao Hua, Ling Yan, Huan Xu, Cheng Yang |
| 2021 | Maximizing Influence of Leaders in Social Networks. Xiaotian Zhou, Zhongzhi Zhang |
| 2021 | Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints. David García-Soriano, Francesco Bonchi |
| 2021 | MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai |
| 2021 | Meaning Error Rate: ASR domain-specific metric framework. Ludmila Gordeeva, Vasily Ershov, Oleg Gulyaev, Igor Kuralenok |
| 2021 | Measures and Best Practices for Responsible AI. Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh |
| 2021 | Medical Entity Relation Verification with Large-scale Machine Reading Comprehension. Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong |
| 2021 | Meta Self-training for Few-shot Neural Sequence Labeling. Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah |
| 2021 | Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps. Miao Fan, Yibo Sun, Jizhou Huang, Haifeng Wang, Ying Li |
| 2021 | Metric Learning via Penalized Optimization. Hao Huang, Yanan Peng, Ting Gan, Weiping Tu, Ruiting Zhou, Sai Wu |
| 2021 | MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. Sanjay Purushotham, Yaguang Li, Zhengping Che |
| 2021 | Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant |
| 2021 | MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification. Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb |
| 2021 | Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan |
| 2021 | MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang |
| 2021 | Mixed Method Development of Evaluation Metrics. Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz |
| 2021 | MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph. Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou |
| 2021 | MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance. Zhihan Fang, Guang Yang, Dian Zhang, Xiaoyang Xie, Guang Wang, Yu Yang, Fan Zhang, Desheng Zhang |
| 2021 | Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He |
| 2021 | Model-Based Counterfactual Synthesizer for Interpretation. Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu |
| 2021 | Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma |
| 2021 | Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen |
| 2021 | Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra |
| 2021 | MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong |
| 2021 | Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng |
| 2021 | Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. Daniel R. Jiang, Haipeng Luo, Chu Wang, Yingfei Wang |
| 2021 | Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control. Runzhe Wan, Xinyu Zhang, Rui Song |
| 2021 | Multi-Objective Recommendations. Yong Zheng, David (Xuejun) Wang |
| 2021 | Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang |
| 2021 | Multi-Task Learning via Generalized Tensor Trace Norm. Yi Zhang, Yu Zhang, Wei Wang |
| 2021 | Multi-facet Contextual Bandits: A Neural Network Perspective. Yikun Ban, Jingrui He, Curtiss B. Cook |
| 2021 | Multi-graph Multi-label Learning with Dual-granularity Labeling. Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang |
| 2021 | Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng |
| 2021 | Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation. Jiawei Zheng, Qianli Ma, Hao Gu, Zhenjing Zheng |
| 2021 | Multimodal Emergent Fake News Detection via Meta Neural Process Networks. Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao |
| 2021 | Multiple-Instance Learning from Similar and Dissimilar Bags. Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu |
| 2021 | Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei |
| 2021 | Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu |
| 2021 | NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu |
| 2021 | NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs. Enyan Dai, Charu Aggarwal, Suhang Wang |
| 2021 | Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance. Neil G. Marchant, Benjamin I. P. Rubinstein |
| 2021 | Network Experimentation at Scale. Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun |
| 2021 | Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning. Huiling Qin, Xianyuan Zhan, Yuanxun Li, Xiaodu Yang, Yu Zheng |
| 2021 | Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu |
| 2021 | Neural Instant Search for Music and Podcast. Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette |
| 2021 | Neural-Answering Logical Queries on Knowledge Graphs. Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong |
| 2021 | New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong |
| 2021 | NewsEmbed: Modeling News through Pre-trained Document Representations. Jialu Liu, Tianqi Liu, Cong Yu |
| 2021 | Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li |
| 2021 | Numerical Formula Recognition from Tables. Qingping Yang, Yixuan Cao, Hongwei Li, Ping Luo |
| 2021 | ODD: Outlier Detection and Description. Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta |
| 2021 | Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits. Ruohan Zhan, Vitor Hadad, David A. Hirshberg, Susan Athey |
| 2021 | On Breaking Truss-Based Communities. Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Solon P. Pissis, Michelle Sweering |
| 2021 | On Post-selection Inference in A/B Testing. Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy |
| 2021 | On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition. Ching-Yuan Bai, Hsuan-Tien Lin, Colin Raffel, Wendy Chi-wen Kan |
| 2021 | On the Nature of Data Science. Jeffrey D. Ullman |
| 2021 | On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2021 | Online Additive Quantization. Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen |
| 2021 | Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons. Joel Barajas, Narayan Bhamidipati, James G. Shanahan |
| 2021 | OpenBox: A Generalized Black-box Optimization Service. Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui |
| 2021 | Overview of the 1st Workshop on City Brain Research. Guanjie Zheng, Porter Jenkins, Yanyan Xu, Dongyao Chen |
| 2021 | PAM: Understanding Product Images in Cross Product Category Attribute Extraction. Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong |
| 2021 | PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi |
| 2021 | PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks. Junjie Chen, Wendy Hui Wang, Hongchang Gao, Xinghua Shi |
| 2021 | PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis. Yifei Chen, Haoyu Ma, Jiangyuan Wang, Jianbao Wu, Xian Wu, Xiaohui Xie |
| 2021 | PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. Bing He, Mustaque Ahamad, Srijan Kumar |
| 2021 | PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics. Arka Daw, M. Maruf, Anuj Karpatne |
| 2021 | PLP 2021: Workshop on Programming Language Processing. Chang Xu, Siqi Ma, David Lo |
| 2021 | PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He |
| 2021 | Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization. Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang |
| 2021 | Partial Multi-Label Learning with Meta Disambiguation. Ming-Kun Xie, Feng Sun, Sheng-Jun Huang |
| 2021 | PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design. Amin Heyrani Nobari, Wei Chen, Faez Ahmed |
| 2021 | Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang |
| 2021 | Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability. Haoran Li, Yang Weng |
| 2021 | Physics-Guided AI for Large-Scale Spatiotemporal Data. Rose Yu, Paris Perdikaris, Anuj Karpatne |
| 2021 | Popularity Bias in Dynamic Recommendation. Ziwei Zhu, Yun He, Xing Zhao, James Caverlee |
| 2021 | Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki |
| 2021 | Pre-trained Language Model based Ranking in Baidu Search. Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin |
| 2021 | Pre-trained Language Model for Web-scale Retrieval in Baidu Search. Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin |
| 2021 | Pre-training on Large-Scale Heterogeneous Graph. Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang |
| 2021 | Predicting COVID-19 Spread from Large-Scale Mobility Data. Amray Schwabe, Joel Persson, Stefan Feuerriegel |
| 2021 | Preference Amplification in Recommender Systems. Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg |
| 2021 | Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li |
| 2021 | Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. Olivier Sprangers, Sebastian Schelter, Maarten de Rijke |
| 2021 | Probabilistic Label Tree for Streaming Multi-Label Learning. Tong Wei, Jiang-Xin Shi, Yufeng Li |
| 2021 | Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun |
| 2021 | ProgRPGAN: Progressive GAN for Route Planning. Tao-Yang Fu, Wang-Chien Lee |
| 2021 | ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski |
| 2021 | Pruning-Aware Merging for Efficient Multitask Inference. Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2021 | Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu |
| 2021 | Q-Learning Lagrange Policies for Multi-Action Restless Bandits. Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe |
| 2021 | Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application. Mingze Zhong, Hong Xie, Qingsheng Zhu |
| 2021 | Quantifying Uncertainty in Deep Spatiotemporal Forecasting. Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2021 | Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition. Sihem Amer-Yahia, Shady Elbassuoni, Ahmad Ghizzawi, Anas Hosami |
| 2021 | Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook. Yiqun Liu, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, Fedor Borisyuk |
| 2021 | RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu |
| 2021 | ROD: Reception-aware Online Distillation for Sparse Graphs. Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui |
| 2021 | Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu |
| 2021 | Real-time Event Detection for Emergency Response Tutorial. Alejandro Jaimes, Joel R. Tetreault |
| 2021 | Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2021 | Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines. Guang Wang, Zhou Qin, Shuai Wang, Huijun Sun, Zheng Dong, Desheng Zhang |
| 2021 | Redescription Model Mining. Felix I. Stamm, Martin Becker, Markus Strohmaier, Florian Lemmerich |
| 2021 | Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie |
| 2021 | Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2021 | Reinforcing Pretrained Models for Generating Attractive Text Advertisements. Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie |
| 2021 | Relational Message Passing for Knowledge Graph Completion. Hongwei Wang, Hongyu Ren, Jure Leskovec |
| 2021 | Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. Depeng Xu, Wei Du, Xintao Wu |
| 2021 | Representation Learning for Predicting Customer Orders. Tongwen Wu, Yu Yang, Yanzhi Li, Huiqiang Mao, Liming Li, Xiaoqing Wang, Yuming Deng |
| 2021 | Representation Learning on Knowledge Graphs for Node Importance Estimation. Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong |
| 2021 | Retrieval & Interaction Machine for Tabular Data Prediction. Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2021 | Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research. Toryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, Mei-Ling E. Feng, Olukunle O. Owolabi, Sean E. Ryan, Marie-Christine Düker, Michael Jauch, David S. Matteson |
| 2021 | Robust Learning by Self-Transition for Handling Noisy Labels. Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee |
| 2021 | Robust Object Detection Fusion Against Deception. Ka Ho Chow, Ling Liu |
| 2021 | S-LIME: Stabilized-LIME for Model Explanation. Zhengze Zhou, Giles Hooker, Fei Wang |
| 2021 | SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations. Chenyi Lei, Yong Liu, Lingzi Zhang, Guoxin Wang, Haihong Tang, Houqiang Li, Chunyan Miao |
| 2021 | SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps. Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang |
| 2021 | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang |
| 2021 | Safe Learning in Robotics. Claire J. Tomlin |
| 2021 | Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups. Shengming Zhang, Hao Zhong, Zixuan Yuan, Hui Xiong |
| 2021 | Scalable Hierarchical Agglomerative Clustering. Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2021 | Scaling Up Graph Neural Networks Via Graph Coarsening. Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou |
| 2021 | Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. Xiao Wang, Nian Liu, Hui Han, Chuan Shi |
| 2021 | Semi-Supervised Deep Learning for Multiplex Networks. Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2021 | Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network. Jaehyuk Yi, Jinkyoo Park |
| 2021 | Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon |
| 2021 | Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao |
| 2021 | Signed Graph Neural Network with Latent Groups. Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu |
| 2021 | Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics. Ninh Pham |
| 2021 | Simple and Automatic Distributed Machine Learning on Ray. Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica |
| 2021 | Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter |
| 2021 | SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce. Andrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany |
| 2021 | Sliding Spectrum Decomposition for Diversified Recommendation. Yanhua Huang, Weikun Wang, Lei Zhang, Ruiwen Xu |
| 2021 | Socially-Aware Self-Supervised Tri-Training for Recommendation. Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung |
| 2021 | Software as a Medical Device: Regulating AI in Healthcare via Responsible AI. Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert |
| 2021 | Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie |
| 2021 | Spectral Clustering of Attributed Multi-relational Graphs. Ylli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant |
| 2021 | Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis. Veronica Tozzo, Federico Ciech, Davide Garbarino, Alessandro Verri |
| 2021 | Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong |
| 2021 | Subset Node Representation Learning over Large Dynamic Graphs. Xingzhi Guo, Baojian Zhou, Steven Skiena |
| 2021 | Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec |
| 2021 | Sylvester Tensor Equation for Multi-Way Association. Boxin Du, Lihui Liu, Hanghang Tong |
| 2021 | TDGIA: Effective Injection Attacks on Graph Neural Networks. Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang |
| 2021 | TMC 2021: 2021 International Workshop on Talent and Management Computing. Hui Xiong, Hengshu Zhu, Tong Xu, Xi Zhang |
| 2021 | TUTA: Tree-based Transformers for Generally Structured Table Pre-training. Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang |
| 2021 | Table2Charts: Recommending Charts by Learning Shared Table Representations. Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang |
| 2021 | TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang |
| 2021 | Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis. Jiachen Wang, Dazhen Deng, Xiao Xie, Xinhuan Shu, Yu-Xuan Huang, Le-Wen Cai, Hui Zhang, Min-Ling Zhang, Zhi-Hua Zhou, Yingcai Wu |
| 2021 | Tail-GNN: Tail-Node Graph Neural Networks. Zemin Liu, Trung-Kien Nguyen, Yuan Fang |
| 2021 | Talent Demand Forecasting with Attentive Neural Sequential Model. Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong |
| 2021 | Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning |
| 2021 | Temporal Biased Streaming Submodular Optimization. Junzhou Zhao, Pinghui Wang, Chao Deng, Jing Tao |
| 2021 | Temporal Graph Signal Decomposition. Maxwell J. McNeil, Lin Zhang, Petko Bogdanov |
| 2021 | The 4th Artificial Intelligence of Things (AIoT) Workshop. Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl |
| 2021 | The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash |
| 2021 | The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang |
| 2021 | The Fifth International Workshop on Automation in Machine Learning. Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai Li |
| 2021 | The Generalized Mean Densest Subgraph Problem. Nate Veldt, Austin R. Benson, Jon M. Kleinberg |
| 2021 | The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang |
| 2021 | The KDD 2021 Workshop on Causal Discovery (CD2021). Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu |
| 2021 | The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo |
| 2021 | The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao |
| 2021 | The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. Feida Zhu, Jian Pei |
| 2021 | Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms. Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý |
| 2021 | Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021). Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu |
| 2021 | Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering. Cheng Feng, Pengwei Tian |
| 2021 | TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro |
| 2021 | Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference. Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li |
| 2021 | TopNet: Learning from Neural Topic Model to Generate Long Stories. Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun |
| 2021 | Topology Distillation for Recommender System. SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2021 | Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao |
| 2021 | Toward Explainable Deep Anomaly Detection. Guansong Pang, Charu C. Aggarwal |
| 2021 | Towards Computing a Near-Maximum Weighted Independent Set on Massive Graphs. Jiewei Gu, Weiguo Zheng, Yuzheng Cai, Peng Peng |
| 2021 | Towards Fair Federated Learning. Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang |
| 2021 | Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang |
| 2021 | Towards Robust Prediction on Tail Labels. Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang |
| 2021 | Towards a Better Understanding of Linear Models for Recommendation. Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou |
| 2021 | Towards the D-Optimal Online Experiment Design for Recommender Selection. Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
| 2021 | Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney |
| 2021 | TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | Triangle-aware Spectral Sparsifiers and Community Detection. Konstantinos Sotiropoulos, Charalampos E. Tsourakakis |
| 2021 | Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen |
| 2021 | Triplet Attention: Rethinking the Similarity in Transformers. Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang |
| 2021 | Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design. Min Liu, Jialiang Mao, Kang Kang |
| 2021 | UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang |
| 2021 | Uncertainty-Aware Reliable Text Classification. Yibo Hu, Latifur Khan |
| 2021 | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
| 2021 | Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization. Guy Barshatski, Kira Radinsky |
| 2021 | Unsupervised Graph Alignment with Wasserstein Distance Discriminator. Ji Gao, Xiao Huang, Jundong Li |
| 2021 | Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He |
| 2021 | Uplift Modeling with Generalization Guarantees. Artem Betlei, Eustache Diemert, Massih-Reza Amini |
| 2021 | User Consumption Intention Prediction in Meituan. Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li |
| 2021 | VDS'21: Visualization in Data Science. Claudia Plant, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Junming Shao |
| 2021 | Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye |
| 2021 | VisRel: Media Search at Scale. Fedor Borisyuk, Siddarth Malreddy, Jun Mei, Yiqun Liu, Xiaoyi Liu, Piyush Maheshwari, Anthony Bell, Kaushik Rangadurai |
| 2021 | VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko |
| 2021 | WIT: Workshop on deriving Insights from user-generated Text. Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan |
| 2021 | We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu |
| 2021 | Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan |
| 2021 | Web-Scale Generic Object Detection at Microsoft Bing. Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada |
| 2021 | What Do You See?: Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors. Yi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik |
| 2021 | What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data. Charbel Merhej, Ryan J. Beal, Tim Matthews, Sarvapali D. Ramchurn |
| 2021 | When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods. Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer |
| 2021 | When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong |
| 2021 | Where are we in embedding spaces? Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu |
| 2021 | Why Attentions May Not Be Interpretable? Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang |
| 2021 | Workshop on Data-Efficient Machine Learning (DeMaL). Sumeet Katariya, Nikhil Rao, Chandan K. Reddy |
| 2021 | Workshop on Model Mining. Shan You, Chang Xu, Fei Wang, Changshui Zhang |
| 2021 | Workshop on Online and Adaptative Recommender Systems (OARS). Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem |
| 2021 | Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty |
| 2021 | Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing. Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta |
| 2021 | Zero-shot Node Classification with Decomposed Graph Prototype Network. Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong |