| 2018 | Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. | Wei-Lin Chiang, Yu-Sheng Li, Ching-Pei Lee, Chih-Jen Lin |
| 2018 | EEG-based Motion Intention Recognition via Multi-task RNNs. | Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li |
| 2018 | On2Vec: Embedding-based Relation Prediction for Ontology Population. | Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo |
| 2018 | Network Inference from Contrastive Groups Using Discriminative Structural Regularization. | Ruihua Cheng, Zhi Wei, Kai Zhang |
| 2018 | Markov Chain Monitoring. | Harshal A. Chaudhari, Michael Mathioudakis, Evimaria Terzi |
| 2018 | JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences. | Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran |
| 2018 | Causal Inference on Event Sequences. | Kailash Budhathoki, Jilles Vreeken |
| 2018 | Exact Mean Computation in Dynamic Time Warping Spaces. | Markus Brill, Till Fluschnik, Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, David Schultz |
| 2018 | A Family of Tractable Graph Distances. | Jos Bento, Stratis Ioannidis |
| 2018 | Mixtures of Block Models for Brain Networks. | Zilong Bai, Peter B. Walker, Ian Davidson |
| 2018 | Discriminative Prototype Set Learning for Nearest Neighbor Classification. | Shin Ando |
| 2018 | Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. | Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf |
| 2018 | Near-Optimal Mapping of Network States using Probes. | Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti |
| 2018 | Toward Relational Learning with Misinformation. | Liang Wu, Jundong Li, Fred Morstatter, Huan Liu |
| 2018 | Learning Graph Representation via Frequent Subgraphs. | Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2017 | Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach. | Yada Zhu, Jianbo Li, Jingrui He |
| 2017 | MultiC | Yao Zhou, Lei Ying, Jingrui He |
| 2017 | Uplift Modeling with Multiple Treatments and General Response Types. | Yan Zhao, Xiao Fang, David Simchi-Levi |
| 2017 | HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. | Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong |
| 2017 | Collaborative User Network Embedding for Social Recommender Systems. | Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang |
| 2017 | Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. | Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu |
| 2017 | From Theory to Practice: Efficient Active Cost-sensitive Classification with Expected Error Reduction. | Yexun Zhang, Yanfeng Wang, Wenbin Cai, Siyuan Zhou, Ya Zhang |
| 2017 | MeiKe: Influence-based Communities in Networks. | Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash |
| 2017 | A Fast Trust-Region Newton Method for Softmax Logistic Regression. | Nayyar Abbas Zaidi, Geoffrey I. Webb |
| 2017 | Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting. | Rose Yu, Yaguang Li, Cyrus Shahabi, Ugur Demiryurek, Yan Liu |