| 2021 | Deep Learning on Graphs for Natural Language Processing. | Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2021 | Enhancing SVMs with Problem Context Aware Pipeline. | Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen |
| 2021 | Towards Robust Prediction on Tail Labels. | Tong Wei, Wei-Wei Tu, Yufeng Li, Guo-Ping Yang |
| 2021 | Probabilistic Label Tree for Streaming Multi-Label Learning. | Tong Wei, Jiang-Xin Shi, Yufeng Li |
| 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 | Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control. | Runzhe Wan, Xinyu Zhang, Rui Song |
| 2021 | Machine Learning for Consumers and Markets. | Wen Wang, Han Zhao, Dokyun Lee, George H. Chen |
| 2021 | Automated Machine Learning on Graph. | Xin Wang, Wenwu Zhu |
| 2021 | Bipartite Dynamic Representations for Abuse Detection. | Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | Zero-shot Node Classification with Decomposed Graph Prototype Network. | Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong |
| 2021 | JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework. | Ding Wang, Pang-Ning Tan |
| 2021 | Deep Learning Embeddings for Data Series Similarity Search. | Qitong Wang, Themis Palpanas |
| 2021 | Multimodal Emergent Fake News Detection via Meta Neural Process Networks. | Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao |
| 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 | 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 | Counterfactual Explanations in Explainable AI: A Tutorial. | Cong Wang, Xiao-Hui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen |
| 2021 | Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. | Xiao Wang, Nian Liu, Hui Han, Chuan Shi |
| 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 | Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. | Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang |
| 2021 | The Fifth International Workshop on Automation in Machine Learning. | Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai Li |
| 2021 | Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. | Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong |
| 2021 | Approximate Graph Propagation. | Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen |
| 2021 | Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. | Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li |
| 2021 | Reinforcing Pretrained Models for Generating Attractive Text Advertisements. | Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie |
| 2021 | Deconfounded Recommendation for Alleviating Bias Amplification. | Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua |