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Rong Ma

A Spectral Method for Assessing and Combining Multiple Data Visualizations

Oct 25, 2022
Rong Ma, Eric D. Sun, James Zou

* Under revision of Nature Communications

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BARS: Towards Open Benchmarking for Recommender Systems

Jun 01, 2022
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

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* Author's draft version. BARS benchmark available at https://openbenchmark.github.io

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Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach

Feb 28, 2022
Xiucai Ding, Rong Ma

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* 40 Pages,10 Figures

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Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms

Jan 17, 2022
T. Tony Cai, Rong Ma

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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

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* 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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