| 2019 | Tripartite Vector Representations for Better Job Recommendation. | Mengshu Liu, Jingya Wang, Kareem Abdelfatah, Mohammed Korayem |
| 2019 | Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. | Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong |
| 2019 | Exploiting Cognitive Structure for Adaptive Learning. | Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang |
| 2019 | Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. | Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2019 | Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. | Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren |
| 2019 | Investigating Cognitive Effects in Session-level Search User Satisfaction. | Mengyang Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | CoSTCo: A Neural Tensor Completion Model for Sparse Tensors. | Hanpeng Liu, Yaguang Li, Michael Tsang, Yan Liu |
| 2019 | DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. | Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao |
| 2019 | Real-time Attention Based Look-alike Model for Recommender System. | Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin |
| 2019 | A User-Centered Concept Mining System for Query and Document Understanding at Tencent. | Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu |
| 2019 | Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. | Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li |
| 2019 | Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. | Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy |
| 2019 | A Multiscale Scan Statistic for Adaptive Submatrix Localization. | Yuchao Liu, Ery Arias-Castro |
| 2019 | Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction: Multi-task RNN and Higer-order MRFs for Stock Price Classification. | Chang Li, Dongjin Song, Dacheng Tao |
| 2019 | A Generalized Framework for Population Based Training. | Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta |
| 2019 | Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. | Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler |
| 2019 | Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. | Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models. | Alexander Lin, Amil Merchant, Suproteem K. Sarkar, Alexander D'Amour |
| 2019 | Advances in Cost-sensitive Multiclass and Multilabel Classification. | Hsuan-Tien Lin |
| 2019 | EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. | Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2019 | Predicting Path Failure In Time-Evolving Graphs. | Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan |
| 2019 | Adaptive Unsupervised Feature Selection on Attributed Networks. | Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu |
| 2019 | Fates of Microscopic Social Ecosystems: Keep Alive or Dead? | Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin |
| 2019 | Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms. | Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen |
| 2019 | UrbanFM: Inferring Fine-Grained Urban Flows. | Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng |