| 2019 | Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. | Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang |
| 2019 | The Fisher-Rao Metric in Computer Vision. | Stephen John Maybank |
| 2019 | DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. | Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li |
| 2019 | Fast Approximations of Betweenness Centrality with Graph Neural Networks. | Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata |
| 2019 | Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming Assignments. | Victor J. Marin, Carlos R. Rivero |
| 2019 | Investigating the Learning Process in Job Search: A Longitudinal Study. | Jiaxin Mao, Damiano Spina, Sargol Sadeghi, Falk Scholer, Mark Sanderson |
| 2019 | Intent Term Weighting in E-commerce Queries. | Saurav Manchanda, Mohit Sharma, George Karypis |
| 2019 | GPU-Accelerated Decoding of Integer Lists. | Antonio Mallia, Michal Siedlaczek, Torsten Suel, Mohamed Zahran |
| 2019 | Deep Graph Similarity Learning for Brain Data Analysis. | Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu |
| 2019 | SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. | Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng |
| 2019 | Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding. | Junwei Lu, Chaoqi Yang, Xiaofeng Gao, Liubin Wang, Changcheng Li, Guihai Chen |
| 2019 | Temporal Network Embedding with Micro- and Macro-dynamics. | Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye |
| 2019 | ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. | Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang |
| 2019 | Conceptualize and Infer User Needs in E-commerce. | Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang |
| 2019 | Cross-modal Image-Text Retrieval with Multitask Learning. | Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang |
| 2019 | Constrained Co-embedding Model for User Profiling in Question Answering Communities. | Yupeng Luo, Shangsong Liang, Zaiqiao Meng |
| 2019 | Set Reconciliation with Cuckoo Filters. | Lailong Luo, Deke Guo, Ori Rottenstreich, Richard T. B. Ma, Xueshan Luo |
| 2019 | Best Co-Located Community Search in Attributed Networks. | Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu |
| 2019 | Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join. | Jiaheng Lu, Chunbin Lin, Jin Wang, Chen Li |
| 2019 | Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. | Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin |
| 2019 | Multi-Hot Compact Network Embedding. | Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li |
| 2019 | Real-time Edge Repartitioning for Dynamic Graph. | He Li, Hang Yuan, Jianbin Huang |
| 2019 | Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations. | Kai Li, Fei Yu, Cheng Feng, Tian Xia |
| 2019 | Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang |
| 2019 | Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. | Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu |