| 2020 | Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm. | Rong Yin, Yong Liu, Weiping Wang, Dan Meng |
| 2020 | Fast Sparse Connectivity Network Adaption via Meta-Learning. | Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei |
| 2020 | Hide and Mine in Strings: Hardness and Algorithms. | Giulia Bernardini, Alessio Conte, Garance Gourdel, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giulia Punzi, Leen Stougie, Michelle Sweering |
| 2019 | Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile. | Zachary Zimmerman, Nader Shakibay Senobari, Gareth J. Funning, Evangelos E. Papalexakis, Samet Oymak, Philip Brisk, Eamonn J. Keogh |
| 2019 | Relation Structure-Aware Heterogeneous Graph Neural Network. | Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang |
| 2019 | Improved Multi-view Multi-label Learning with Incomplete Views and Labels. | Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei |
| 2019 | Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems. | Lin Zhu, Xinnan Dai, Qihao Huang, Hai Xiang, Jie Zheng |
| 2019 | A Model-Agnostic Approach for Explaining the Predictions on Clustered Data. | Zihan Zhou, Mingxuan Sun, Jianhua Chen |
| 2019 | Adversarial Robustness of Similarity-Based Link Prediction. | Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik |
| 2019 | ADMIRING: Adversarial Multi-network Mining. | Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong |
| 2019 | ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction. | Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu, Luo Chen |
| 2019 | Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics. | Qiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi |
| 2019 | Constrained Matrix Factorization for Course Score Prediction. | Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2019 | Feature-Matching Speech Denoising GANs via Progressive Training. | Li Zhao, Fang Zhou, Chun Yang, Xu-Cheng Yin |
| 2019 | A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. | Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2019 | Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. | Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2019 | Data Mining in Railway Defect Image Based on Object Detection Technology. | Bing Zhao, Mingrui Dai, Ping Li, Xiao-ning Ma |
| 2019 | Rank-Based Multi-task Learning for Fair Regression. | Chen Zhao, Feng Chen |
| 2019 | Efficient Attribute Reduction with Submodular Function Optimization. | Xuxia Zhang, Xiaodong Yue, Zhikang Xu |
| 2019 | A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing. | Lihao Zhang, Zeyang Ye, Keli Xiao, Bo Jin |
| 2019 | Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. | Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang |
| 2019 | Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. | Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu |
| 2019 | Aftershock Detection with Multi-scale Description Based Neural Network. | Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu |
| 2019 | Boosted Trajectory Calibration for Traffic State Estimation. | Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou |
| 2019 | HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. | Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han |