| 2017 | Robust Self-Tuning Sparse Subspace Clustering. | Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye |
| 2017 | Topological Recurrent Neural Network for Diffusion Prediction. | Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang |
| 2017 | Extracting User-Reported Mobile Application Defects from Online Reviews. | Yue Wang, Hongning Wang, Hui Fang |
| 2017 | Predicting Weight Loss with Enemble Methods. | Zhiwei Wang, Jiliang Tang |
| 2017 | Discovering Truths from Distributed Data. | Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao |
| 2017 | Multi-task Survival Analysis. | Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye |
| 2017 | Near-Optimal Noisy Low-Tubal-Rank Tensor Completion via Singular Tube Thresholding. | Andong Wang, Zhong Jin |
| 2017 | Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. | Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang |
| 2017 | GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. | Binghui Wang, Neil Zhenqiang Gong, Hao Fu |
| 2017 | Data-Driven Anomaly Detection for Power System Generation Control. | Pengyuan Wang, Manimaran Govindarasu, Aditya Ashok, Siddharth Sridhar, David McKinnon |
| 2017 | Tracking Hit-and-Run Vehicle with Sparse Video Surveillance Cameras and Mobile Taxicabs. | Yang Wang, Wuji Chen, Wei Zheng, He Huang, Wen Zhang, Hengchang Liu |
| 2017 | Balanced Distribution Adaptation for Transfer Learning. | Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen |
| 2017 | Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging. | Zhao Wang, Jennifer Cutler, Aron Culotta |
| 2017 | Semantic Visualization Support for Innovators Marketplace on Data Jackets. | Qi Wang |
| 2017 | Evaluation of Non-linearity in MIR Spectroscopic Data for Compressed Learning. | Dixon Vimalajeewa, Donagh Berry, Eric Robson, Chamil Kulatunga |
| 2017 | On Utility of Temporal Embeddings in Skill Matching. | Manisha Verma, Nathan Francis |
| 2017 | Akori: A Tool Based in Eye-Tracking Techniques for Analyzing Web User Behaviour on a Web Site. | Felipe Vera, Vctor D. Corts, Gabriel Iturrra, Juan D. Velsquez, Pedro Maldonado, Andrs Couve |
| 2017 | Multimodal Content Analysis for Effective Advertisements on YouTube. | Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy |
| 2017 | Estimating Fungibility Between Skills by Combining Skill-Similarities Obtained from Multiple Data Sources. | Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston, Rachel Rosenfeld |
| 2017 | Predicting Users' Search Behavior Using Stochastic Multi-mode Network Models. | Shohei Umehara, Koji Eguchi |
| 2017 | Crowdsourced Correlation Clustering with Relative Distance Comparisons. | Antti Ukkonen |
| 2017 | Discovery of Action Rules at Lowest Cost in Spark. | Angelina A. Tzacheva, Arunkumar Bagavathi, Lavanya Ayila |
| 2017 | Revealing the Unseen: How to Expose Cloud Usage While Protecting User Privacy. | Ata Turk, Mayank Varia, Georgios Kellaris |
| 2017 | Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large Graphs. | Duru Trkoglu, Ata Turk |
| 2017 | Inside the Atoms: Mining a Network of Networks and Beyond. | Hanghang Tong |