Guang Cheng
50 papers · 2013–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 28% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Guang Cheng?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yue Xing, Qifan Song, Shih-Kang Chao
14 papers
· 2020–2025
· AISTATS, NeurIPS, JMLR
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CTSyn: A Foundation Model for Cross Tabular Data Generation
ICLR 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
JMLR 2025
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
AISTATS 2024
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
JMLR 2022
Phase Transition from Clean Training to Adversarial Training
NeurIPS 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
AISTATS 2022
Why Do Artificially Generated Data Help Adversarial Robustness
NeurIPS 2022
Adversarially Robust Estimate and Risk Analysis in Linear Regression
AISTATS 2021
On the Algorithmic Stability of Adversarial Training
NeurIPS 2021
On the Generalization Properties of Adversarial Training
AISTATS 2021
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
AISTATS 2021
Directional Pruning of Deep Neural Networks
NeurIPS 2020
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
NeurIPS 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap
ICML 2020
8 papers whose co-authors appear nowhere else under this name
Decentralized Sparse Linear Regression via Gradient-Tracking
JMLR 2025
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
AAAI 2025
From Address Blocks to Authorized Prefixes: Redesigning RPKI ROV with a Hierarchical Hashing Scheme for Fast and Memory-Efficient Validation
NSDI 2025
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
ICLR 2023
Power Iteration for Tensor PCA
JMLR 2022
High Dimensional Inference in Partially Linear Models
AISTATS 2019
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
NeurIPS 2015
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
JMLR 2015