| 2019 | Roll of Unified Graph Analysis Platforms. | Yinglong Xia |
| 2019 | Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction. | Jing-Han Wu, Min-Ling Zhang |
| 2019 | Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. | Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal |
| 2019 | Efficient Global String Kernel with Random Features: Beyond Counting Substructures. | Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal |
| 2019 | NPA: Neural News Recommendation with Personalized Attention. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | Factorization Bandits for Online Influence Maximization. | Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang |
| 2019 | DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. | Jun Wu, Jingrui He, Jiejun Xu |
| 2019 | Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination. | Qitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen |
| 2019 | OCC: A Smart Reply System for Efficient In-App Communications. | Yue Weng, Huaixiu Zheng, Franziska Bell, Gkhan Tr |
| 2019 | Unsupervised Clinical Language Translation. | Wei-Hung Weng, Yu-An Chung, Peter Szolovits |
| 2019 | PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. | Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li |
| 2019 | Tensorized Determinantal Point Processes for Recommendation. | Romain Warlop, Jrmie Mary, Mike Gartrell |
| 2019 | Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. | Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang |
| 2019 | AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. | Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong |
| 2019 | Enhancing Collaborative Filtering with Generative Augmentation. | Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui |
| 2019 | SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. | Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Huan Sun |
| 2019 | ADMM for Efficient Deep Learning with Global Convergence. | Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao |
| 2019 | Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling. | Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng |
| 2019 | MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. | Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su |
| 2019 | Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. | Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin |
| 2019 | A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets. | Pinghui Wang, Yiyan Qi, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C. S. Lui, Xiaohong Guan |
| 2019 | A Minimax Game for Instance based Selective Transfer Learning. | Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou |
| 2019 | Adaptive Graph Guided Disambiguation for Partial Label Learning. | Deng-Bao Wang, Li Li, Min-Ling Zhang |
| 2019 | Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. | Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang |
| 2019 | Coresets for Minimum Enclosing Balls over Sliding Windows. | Yanhao Wang, Yuchen Li, Kian-Lee Tan |