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Semi-Supervised Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data


Jun 07, 2021
Fei Xue, Rong Ma, Hongzhe Li

* 39 pages, 2 figures 

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Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data


May 18, 2021
T. Tony Cai, Rong Ma


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Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression


Nov 06, 2020
Linjun Zhang, Rong Ma, T. Tony Cai, Hongzhe Li


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MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis


Mar 05, 2020
Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Guoping Gao, Fang Zheng, Rui Li, Zhihua Guo, Rong Ma, Jing Yang, Lan Zhang, Xiping Hu, Yumin Li, Bin Hu


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Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates


Feb 23, 2020
T. Tony Cai, Hongzhe Li, Rong Ma


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Scale Up Event Extraction Learning via Automatic Training Data Generation


Dec 11, 2017
Ying Zeng, Yansong Feng, Rong Ma, Zheng Wang, Rui Yan, Chongde Shi, Dongyan Zhao

* 8 pages, accepted by AAAI 2018 

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