| 2020 | Multiplex Graph Neural Networks for Multi-behavior Recommendation. | Weifeng Zhang, Jingwen Mao, Yi Cao, Congfu Xu |
| 2020 | A Feature-Importance-Aware and Robust Aggregator for GCN. | Li Zhang, Haiping Lu |
| 2020 | Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. | Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia |
| 2020 | More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. | Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi |
| 2020 | Query Understanding via Intent Description Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | Seasonal-Periodic Subgraph Mining in Temporal Networks. | Qianzhen Zhang, Deke Guo, Xiang Zhao, Xinyi Li, Xi Wang |
| 2020 | TOMATO: A Topic-Wise Multi-Task Sparsity Model. | Jason (Jiasheng) Zhang, Dongwon Lee |
| 2020 | GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. | Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu |
| 2020 | Event-Driven Network for Cross-Modal Retrieval. | Zhixiong Zeng, Nan Xu, Wenji Mao |
| 2020 | Leveraging User Email Actions to Improve Ad-Close Prediction. | Oleg Zendel, Yaroslav Fyodorov, Fiana Raiber, Natalia Silberstein, Oren Somekh, Ali Tabaja |
| 2020 | Sample Driven Data Mapping for Linked Data and Web APIs. | Tobias Zeimetz, Ralf Schenkel |
| 2020 | Mining User Interests from Social Media. | Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri |
| 2020 | MIMICS: A Large-Scale Data Collection for Search Clarification. | Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell |
| 2020 | PrivacyCheck v2: A Tool that Recaps Privacy Policies for You. | Razieh Nokhbeh Zaeem, Safa Anya, Alex Issa, Jake Nimergood, Isabelle Rogers, Vinay Shah, Ayush Srivastava, K. Suzanne Barber |
| 2020 | Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. | Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang |
| 2020 | Smarter and Safer Traffic Signal Controlling via Deep Reinforcement Learning. | Bingquan Yu, Jinqiu Guo, Qinpei Zhao, Jiangfeng Li, Weixiong Rao |
| 2020 | Few-shot Insider Threat Detection. | Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong |
| 2020 | Logic Enhanced Commonsense Inference with Chain Transformer. | Chenxi Yuan, Chun Yuan, Yang Bai, Ziran Li |
| 2020 | Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. | Feng Yuan, Lina Yao, Boualem Benatallah |
| 2020 | How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases. | Gongsheng Yuan |
| 2020 | OFFER: A Motif Dimensional Framework for Network Representation Learning. | Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee |
| 2020 | Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks. | Daeyoung Yoon, Simon S. Woo |
| 2020 | Time-aware Graph Relational Attention Network for Stock Recommendation. | Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li |
| 2020 | LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. | Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2020 | Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. | Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo |