| 2019 | MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. | Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang |
| 2019 | Heterogeneous Graph Neural Network. | Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla |
| 2019 | OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. | Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang |
| 2019 | Optimizing Impression Counts for Outdoor Advertising. | Yipeng Zhang, Yuchen Li, Zhifeng Bao, Songsong Mo, Ping Zhang |
| 2019 | How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction. | Shanshan Zhang, Lihong He, Eduard C. Dragut, Slobodan Vucetic |
| 2019 | Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. | Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng |
| 2019 | MinJoin: Efficient Edit Similarity Joins via Local Hash Minima. | Haoyu Zhang, Qin Zhang |
| 2019 | Learning a Unified Embedding for Visual Search at Pinterest. | Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg |
| 2019 | Mining Algorithm Roadmap in Scientific Publications. | Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan |
| 2019 | Social User Interest Mining: Methods and Applications. | Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri |
| 2019 | Dynamical Origins of Distribution Functions. | Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang |
| 2019 | Uncovering Pattern Formation of Information Flow. | Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang |
| 2019 | Fake News Research: Theories, Detection Strategies, and Open Problems. | Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu |
| 2019 | A Visual Dialog Augmented Interactive Recommender System. | Tong Yu, Yilin Shen, Hongxia Jin |
| 2019 | Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. | Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang |
| 2019 | Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. | Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama |
| 2019 | Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. | Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos |
| 2019 | Scalable Graph Embeddings via Sparse Transpose Proximities. | Yuan Yin, Zhewei Wei |
| 2019 | QuesNet: A Unified Representation for Heterogeneous Test Questions. | Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su |
| 2019 | The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis. | Xuan Yin, Liangjie Hong |
| 2019 | Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. | Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong |
| 2019 | The Secret Lives of Names?: Name Embeddings from Social Media. | Junting Ye, Steven Skiena |
| 2019 | MediaRank: Computational Ranking of Online News Sources. | Junting Ye, Steven Skiena |
| 2019 | Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. | Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra |
| 2019 | Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. | Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh |