Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons. - Ashwin Pananjady; Cheng Mao; Vidya Muthukumar; Martin J. Wainwright; Thomas A. Courtade (CoRR, 2017)

Minimax Rates and Efficient Algorithms for Noisy Sorting. - Cheng Mao; Jonathan Weed; Philippe Rigollet (ALT, 2018)

Breaking the $1/ sqrtn$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time. - Cheng Mao; Ashwin Pananjady; Martin J. Wainwright (COLT, 2018)

SPAD Sensors with $256 times 2$ Linear Array for Time Delay Integration Demonstration. - Xiangshun Kong; Xiaofeng Bu; Cheng Mao; Limin Zhang; Haowen Ma; Feng Yan (IEEE SENSORS, 2018)

A $128 times 1$ Pixels, High Dynamic Range SPAD Imager in $0.18 mu text{m}$ CMOS Technology. - Cheng Mao; Xiangshun Kong; Haowen Ma; Limin Zhang; Feng Yan; Xiaofeng Bu (IEEE SENSORS, 2018)

Breaking the 1/√n Barrier: Faster Rates for Permutation-based Models in Polynomial Time. - Cheng Mao; Ashwin Pananjady; Martin J. Wainwright (CoRR, 2018)

Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations. - Cheng Mao; Ashwin Pananjady; Martin J. Wainwright (CoRR, 2018)

Estimation of Monge Matrices. - Jan-Christian Hütter; Cheng Mao; Philippe Rigollet; Elina Robeva (CoRR, 2019)

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2019)

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2019)

Research on Flexible Charging Strategy of Mobile Energy Storage Charging Vehicle. - Cheng Mao; Yufeng Zhang (CACRE, 2020)

Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (ICML, 2020)

Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments. - Cheng Mao; Yihong Wu 001 (CoRR, 2020)

Random Graph Matching with Improved Noise Robustness. - Cheng Mao; Mark Rudelson; Konstantin E. Tikhomirov (COLT, 2021)

Optimal Spectral Recovery of a Planted Vector in a Subspace. - Cheng Mao; Alexander S. Wein (CoRR, 2021)

Exact Matching of Random Graphs with Constant Correlation. - Cheng Mao; Mark Rudelson; Konstantin E. Tikhomirov (CoRR, 2021)

Sharp analysis of EM for learning mixtures of pairwise differences. - Abhishek Dhawan; Cheng Mao; Ashwin Pananjady (COLT, 2023)

Detection-Recovery Gap for Planted Dense Cycles. - Cheng Mao; Alexander S. Wein; Shenduo Zhang (COLT, 2023)

Random Graph Matching at Otter's Threshold via Counting Chandeliers. - Cheng Mao; Yihong Wu 001; Jiaming Xu 002; Sophie H. Yu (STOC, 2023)

Detection of Dense Subhypergraphs by Low-Degree Polynomials. - Abhishek Dhawan; Cheng Mao; Alexander S. Wein (CoRR, 2023)

On-Chip Compressive Sensing with a Single-Photon Avalanche Diode Array. - Chenxi Qiu; Peng Wang; Xiangshun Kong; Feng Yan 002; Cheng Mao; Tao Yue 003; Xuemei Hu (Sensors, 2023)

Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (Found. Comput. Math., 2023)

Spectral Graph Matching and Regularized Quadratic Relaxations II. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (Found. Comput. Math., 2023)

Impossibility of Latent Inner Product Recovery via Rate Distortion. - Cheng Mao; Shenduo Zhang (Allerton, 2024)

Information-Theoretic Thresholds for Planted Dense Cycles. - Cheng Mao; Alexander S. Wein; Shenduo Zhang (IEEE Trans. Inf. Theory, 2025)