Effective Statistical Methods for Big Data Analytics
Published in Handbook of Research on Applied Cybernetics and Systems Science, 2017
Cheng Meng, Ye Wang, Xinlian Zhang, Abhyuday Mandal, Wenxuan Zhong, Ping Ma*
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publications
Large-Scale Optimal Transport Map Estimation Using Projection Pursuit
Published in NeurIPS (top ML conference), 2019
Cheng Meng, Yuan Ke, Jingyi Zhang, Mengrui Zhang, Wenxuan Zhong, Ping Ma*
More Efficient Computation of Smoothing Splines via Space-Filling Basis Selection
Published in Biometrika, 2020
Cheng Meng, Xinlian Zhang, Jingyi Zhang, Wenxuan Zhong, Ping Ma*
Sufficient Dimension Reduction for Classification Using Principal Optimal Transport Direction
Published in NeurIPS (top ML conference), 2020
Cheng Meng, Jun Yu, Jingyi Zhang, Ping Ma, Wenxuan Zhong*
High-Resolution 3D Terrestrial LiDAR for Cotton Plant Main Stalk and Node Detection
Published in Comput. Electron. Agric., 2021
Shangpeng Sun, Changying Li, Peng W. Chee, Andrew H. Paterson, Cheng Meng, Jingyi Zhang, Ping Ma, Jon S. Robertson, Jeevan Adhikari*
LowCon: A Design-Based Subsampling Approach in a Misspecified Linear Model
Published in JCGS, 2021
Cheng Meng, Rui Xie, Abhyuday Mandal, Xinlian Zhang, Wenxuan Zhong, and Ping Ma*
Modern Subsampling Methods for Large-Scale Least Squares Regression
Published in IJCPS, 2021
Tao Li, Cheng Meng*
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Published in JCGS, 2022
Mengyu Li, Jun Yu, Hongteng Xu, Cheng Meng*
Projection‐Based Techniques for High‐Dimensional Optimal Transport Problems
Published in WIREs Computational Statistics, 2022
Jingyi Zhang, Ping Ma, Wenxuan Zhong, Cheng Meng*
Smoothing Splines Approximation Using Hilbert Curve Basis Selection
Published in JCGS, 2022
Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma*
A Hausdorff Regression Paradigm for Interval Privacy
Published in IEEE SPL, 2023
Xinlai Kang, Mengyu Li, Xuqiang Chen, Fangyu Li, Cheng Meng*
Importance Sparsification for Sinkhorn Algorithm
Published in JMLR, 2023
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency
Published in JCGS, 2023
Tao Li, Jun Yu, Cheng Meng*
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation
Published in JCGS, 2023
Jingyi Zhang, Cheng Meng, Jun Yu, Mengrui Zhang, Wenxuan Zhong, and Ping Ma*
AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards
Published in Plant Phenomics, 2024
Tian Qiu, Tao Wang, Tao Han, Kaspar Kuehn, Lailiang Cheng, Cheng Meng, Xiangtao Xu, Kenong Xu, and Jiang Yu*
Core-Elements for Large-Scale Least Squares Estimation
Published in Stat. Comput., 2024
Hilbert Curve Projection Distance for Distribution Comparison
Published in IEEE TPAMI, 2024
Tao Li, Cheng Meng, Hongteng Xu, Jun Yu (alphabetical order)
Leverage Classifier: Another Look at Support Vector Machine
Published in Stat. Sinica, 2024
Yixin Han, Jun Yu, Nan Zhang, Cheng Meng, Ping Ma, Wenxuan Zhong, Changliang Zou*
Nonparametric Additive Models for Billion Observations
Published in JCGS, 2024
Mengyu Li, Jingyi Zhang, Cheng Meng*
Sampling-Based Methods for Multi-Block Optimization Problems over Transport Polytopes
Published in Math. Comp., 2024
Yukuan Hu, Mengyu Li, Xin Liu, Cheng Meng (alphabetical order)
Gaussian Herding Across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
Published in NeurIPS (Spotlight, top ML conference), 2025
Double Optimal Transport for Differential Gene Regulatory Network Inference with Unpaired Samples
Published in Bioinformatics, 2025
Mengyu Li, Bencong Zhu, Cheng Meng*, Xiaodan Fan*
Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection
Published in JCGS, 2025
Junlie Huang, Xinlai Kang, Qiannan Huang, Mengyu Li, Jingyi Zhang*, Cheng Meng*
Efficient Variants of Wasserstein Distance in Hyperbolic Space via Space-Filling Curve Projection
Published in IEEE TNNLS, 2025
Tao Li, Cheng Meng*, Hongteng Xu, Jun Zhu (alphabetical order)
Hausdorff Correlation for Interval-Valued Random Objects
Published in Stat. Comput., 2025
Xinlai Kang, Xiaxue Ouyang, Haoxian Liang, Cheng Meng*
SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training
Published in Big Data Min. Anal., 2025
Luyang Fang, Cheng Meng, Lin Zhao, Tao Wang, Tianming Liu, Wenxuan Zhong*, Ping Ma*
Iterative Optimal Transport for Multimodal Image Registration
Published in Pattern Recognit., 2025
Mengyu Li, Cheng Meng*, Xiaodan Fan
Sparsification Techniques for Large-Scale Optimal Transport Problems
Published in WIREs Computational Statistics, 2026
Xiaxue Ouyang, Hao Zheng, Haoxian Liang, Jingyi Zhang, Yixuan Qiu, Cheng Meng, Mengyu Li*
An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-Based Representation
Published in ICLR (top ML conference), 2026
Junyi Lin, Dunyao Xue, Jun Yu, Hongteng Xu*, Cheng Meng*
Core-Elements Subsampling for Alternating Least Squares
Published in JCGS, 2026
Dunyao Xue, Mengyu Li*, Jingyi Zhang, Cheng Meng
Breaking the Echo Chamber: A Dynamic Ensemble Pruning Perspective on MoE
Published in ICML (top ML conference), 2026
Xinlai Kang, Dunyao Xue, Zhengbo Wang, Chengshuo Du, Xinghao Chen, Hang Zhou, Hanting Chen*, Cheng Meng*
Sparsification Subsampling for Partial Least Squares Regression
Published in JCGS, 2026
rewards
Huawei Challenge Bounty “Spark Award”
| Challenge Issue | Challenge Name | Award Type | Spark Award Issue | Core Team Members |
|---|---|---|---|---|
| Yangtze Campaign Issue 3 | Non-native Bayer Raw Image Noise Analysis and Processing Technology | Value Award | Issue 73 | Xinlai Kang, Qiannan Huang, Jingyi Zhang, Cheng Meng |
| Yangtze Campaign Issue 1 | Fiber Optic Sensing Data Enhancement Algorithm | Encouragement Award | Issue 73 | Jun Zhu, Mengyu Li, Cheng Meng |
| Feifeng Campaign Issue 4 | 100x Network Timing Data Reduction Based on Pattern Perception | Encouragement Award | Issue 88 | Junlie Huang, Cheng Meng |
| Yangtze Campaign Issue 5 | Optical Coupling Quick Optimization | Value Award | Issue 109 | Mengyu Li, Junlie Huang, Cheng Meng |
| Hardware Engineering Challenge Phase 10 | A Self-Adaptive Fuzzy Detection Adjustment Algorithm | Encouragement Award | Issue 109 | Junlie Huang, Cheng Meng |
| EDA Topic Issue 3 | Research on Pattern Feature Extraction and Clustering Algorithms for Large-Scale Chip Layouts | Value Award | Issue 114 | Hao Zheng, Tao Wang, Haoxian Liang, Mengyu Li, Jingyi Zhang, Cheng Meng |
| Terminal BG Hard Engineering Challenge Phase 6 | Online Lithium Plating Detection | Value Award | Issue 131 | Chun Zhan, Cheng Meng, Longlong Fan, Jun Zhu |
| Qomolangma Campaign Issue 7 | Advanced Technologies for Minimizing the Inter-Die Switching Acceleration Ratio for Chiplet-based Ultra-Wide Switching Chips | Encouragement Award | Issue 135 | Yuzheng Dong, Junlie Huang, Jinyan Bai, Cheng Meng |
Champion of the 50m backstroke swimming in the National College Student Sports Games (Cheng Meng)
Published:
National Scholarship (Dianjun Lin)
Published:
Junior Researcher Award (Cheng Meng)
Published:
Jingdong Special Scholarship (Mengyu Li)
Published:
National Scholarship (Mengyu Li)
Published:
National Scholarship (Qiannan Huang)
Published:
JD Scholarship Nomination (Qiannan Huang)
Published:
Wu Yuzhang Scholarship (Mengyu Li)
Published:
2025 BYD Comprehensive Scholarship (Jun Zhu)
Published:
students
talks
Subsampling methods in Statistics
Published:
Statistical modeling in 3d point cloud data
Published: