| 2019 | NICE: Neural In-Hospital Cost Estimation from Medical Records. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2019 | Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. | Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du |
| 2019 | Long- and Short-term Preference Learning for Next POI Recommendation. | Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian |
| 2019 | Enriching Pre-trained Language Model with Entity Information for Relation Classification. | Shanchan Wu, Yifan He |
| 2019 | Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy. | Jun Wu, Jingrui He |
| 2019 | CoLight: Learning Network-level Cooperation for Traffic Signal Control. | Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li |
| 2019 | Knowledge Transfer based on Multiple Manifolds Assumption. | Pengfei Wei, Yiping Ke |
| 2019 | Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. | Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi |
| 2019 | Video-level Multi-model Fusion for Action Recognition. | Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li |
| 2019 | Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. | Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao |
| 2019 | CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. | Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin |
| 2019 | Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network. | Heyuan Wang, Ziyi Wu, Junyu Chen |
| 2019 | Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features. | Mingkun Wang, Dianxi Shi, Naiyang Guan, Wei Yi, Tao Zhang, Zunlin Fan |
| 2019 | Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. | Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. | Panpan Wang, Zhao Li, Yazhou Zhang, Yuexian Hou, Liangzhu Ge |
| 2019 | Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. | Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu |
| 2019 | Modeling Sentiment Evolution for Social Incidents. | Yunjie Wang, Hui Li, Chen Lin |
| 2019 | Neighborhood Interaction Attention Network for Link Prediction. | Zhitao Wang, Yu Lei, Wenjie Li |
| 2019 | Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. | Pei-Chi Wang, Cheng-Te Li |
| 2019 | Constructing a Comprehensive Events Database from the Web. | Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar |
| 2019 | Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. | Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang |
| 2019 | Learning Adaptive Display Exposure for Real-Time Advertising. | Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai |
| 2019 | On Heavy-user Bias in A/B Testing. | Yu Wang, Somit Gupta, Jiannan Lu, Ali Mahmoudzadeh, Sophia Liu |
| 2019 | TraVis: An Interactive Visualization System for Mining Inbound Traveler Activities by Leveraging Mobile Ad Request Data. | Pei-Xun Wang, Hsuan Chiu, Wen-Qian Chen, Che-Chia Chang, Yu-Hsuan Huang, Tzu-Hao Huang, Yuchun Lai, Chia-Hu Chang |
| 2019 | Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. | Suhang Wang, Charu C. Aggarwal, Huan Liu |