| 2018 | Accelerating Experimental Design by Incorporating Experimenter Hunches. | Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson |
| 2018 | River: A Real-Time Influence Monitoring System on Social Media Streams. | Mo Sha, Yuchen Li, Yanhao Wang, Wentian Guo, Kian-Lee Tan |
| 2018 | PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP. | Xin Huang, Jiaxin Jiang, Byron Choi, Jianliang Xu, Zhiwei Zhang, Yunya Song |
| 2017 | Exploring Uncertainty Methods for Centrality Analysis in Social Networks. | Xianglin Zuo, Bo Yang, Wanli Zuo |
| 2017 | Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. | Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari |
| 2017 | New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. | Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou |
| 2017 | Deep and Confident Prediction for Time Series at Uber. | Lingxue Zhu, Nikolay Laptev |
| 2017 | Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). | Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh |
| 2017 | A Randomized Approach for Crowdsourcing in the Presence of Multiple Views. | Yao Zhou, Jingrui He |
| 2017 | Social Intimacy Based IoT Services Mining of Massive Data. | Anni Zhou, Yinan Feng, Pan Zhou, Jie Xu |
| 2017 | SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2017 | Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data. | Datong Paul Zhou, Maximilian Balandat, Claire Jennifer Tomlin |
| 2017 | Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. | Weifeng Zhi, Buyue Qian, Ian Davidson |
| 2017 | Constructing a Hierarchical User Interest Structure Based on User Profiles. | Chao Zhao, Min Zhao, Yi Guan |
| 2017 | Collaborative Filtering with Social Local Models. | Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee |
| 2017 | Exploiting Hierarchical Structures for POI Recommendation. | Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong |
| 2017 | Incorporating Spatio-Temporal Smoothness for Air Quality Inference. | Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo |
| 2017 | Exploring Transfer Learning for Crime Prediction. | Xiangyu Zhao, Jiliang Tang |
| 2017 | A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling. | Yan Zhao, Xiao Fang, David Simchi-Levi |
| 2017 | MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. | He Zhao, Lan Du, Wray L. Buntine, Gang Liu |
| 2017 | AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering. | Weizhong Zhao, Gang Chen, Xiaowei Xu |
| 2017 | Online and Distributed Robust Regressions Under Adversarial Data Corruption. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2017 | BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. | Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu |
| 2017 | An Automatic Approach for Transit Advertising in Public Transportation Systems. | Chen Zhang, Hao Wang, Hui Xiong |
| 2017 | iNEAT: Incomplete Network Alignment. | Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan |