GC
Guang Cheng
cs.LGstat.MLmath.STstat.THcs.CRstat.MEcs.AIcs.CLcs.GTAlgorithms
On Valency
published · living versionsW_x5pmanmc·v1 · currentpublished
Preprints & journals
125 papers in the corpus · 2006–2026Designing Transformers for Continuous Diffusion Language Models2610.22330v1 · Weijian Luo, Yujian Chen, Hao Jiang et al.2026 · 0 citationsarXiv
Persistent Memory in Multi-Agent LLM Inference: What It Costs, What It Buys, and When You Can Tell2610.07782v1 · Hochan Son, Kyungdoe Han, Jaehan Koh et al.2026 · 0 citationsarXiv
Trajectory-Derived Confidence for Reliable, Resource-Aware Clinical Text-to-SQL Agents2610.04156v1 · Mincheol Daniel Song, Joshua Ward, Jake Jung et al.2026 · 0 citationsarXiv
CyberClear: A Benchmark for LLM Agent Systems on APT Attack Chain Provenance2609.32424v1 · Qi Chen, Fushuo Huo, Hangli Shen et al.2026 · 0 citationsarXiv
Let the Target Select for Itself: Data Selection via Target-Aligned Paths2605.09404v2 · Huitao Yang, Hengzhi He, Tung Sum Thomas Kwok et al.2026 · 0 citationsarXiv
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis2509.18014v1 · Joshua Ward, Xiaofeng Lin, Chi-Hua Wang et al.2025 · 0 citationsarXiv
Ensembling Membership Inference Attacks Against Tabular Generative Models2509.05350v1 · Joshua Ward, Yuxuan Yang, Chi-Hua Wang et al.2025 · 2 citationsarXiv
Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval2509.00276v1 · Yuxiang Liu, Tian Wang, Gourab Kundu et al.2025 · 0 citationsarXiv
Privacy Auditing Synthetic Data Release through Local Likelihood Attacks2508.21146v2 · Joshua Ward, Chi-Hua Wang, Guang Cheng2025 · 0 citationsarXiv
A Probabilistic Perspective on Model Collapse2505.13947v2 · Shirong Xu, Hengzhi He, Guang Cheng2025 · 0 citationsarXiv
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction2503.15564v1 · Tung Sum Thomas Kwok, Chi-Hua Wang, Guang Cheng2025 · 3 citationsarXiv
Breaking Distortion-free Watermarks in Large Language Models2502.18608v2 · Shayleen Reynolds, Hengzhi He, Dung Daniel T. Ngo et al.2025 · 0 citationsarXiv
Watermarking Generative Categorical Data2411.10898v1 · Bochao Gu, Hengzhi He, Guang Cheng2024 · 0 citationsarXiv
Data Deletion for Linear Regression with Noisy SGD2410.09311v1 · Zhangjie Xia, Chi-Hua Wang, Guang Cheng2024 · 1 citationarXiv
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models2406.13012v1 · Joshua Ward, Chi-Hua Wang, Guang Cheng2024 · 2 citationsarXiv
CTSyn: A Foundation Model for Cross Tabular Data Generation2406.04619v2 · Xiaofeng Lin, Chenheng Xu, Matthew Yang et al.2024 · 0 citationsarXiv
Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System2406.04374v2 · Yuantong Li, Guang Cheng, Xiaowu Dai2024 · 0 citationsarXiv
Minimax Optimal Fair Classification with Bounded Demographic Disparity2403.18216v1 · Xianli Zeng, Guang Cheng, Edgar Dobriban2024 · 1 citationarXiv
Neural Operators for Nonlinear Functionals on RKHS2403.12187v2 · Tian-Yi Zhou, Namjoon Suh, Guang Cheng et al.2024 · 0 citationsarXiv
FairRR: Pre-Processing for Group Fairness through Randomized Response2403.07780v1 · Xianli Zeng, Joshua Ward, Guang Cheng2024 · 0 citationsarXiv
Rate-Optimal Rank Aggregation with Private Pairwise Rankings2402.16792v3 · Shirong Xu, Will Wei Sun, Guang Cheng2024 · 3 citationsarXiv
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing2402.02817v3 · Xianli Zeng, Kevin Jiang, Guang Cheng et al.2024 · 0 citationsarXiv
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models2401.07187v3 · Namjoon Suh, Guang Cheng2024 · 13 citationsarXiv
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective2401.00965v1 · Din-Yin Hsieh, Chi-Hua Wang, Guang Cheng2024 · 2 citationsarXiv
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models2401.00974v1 · Yinan Cheng, Chi-Hua Wang, Vamsi K. Potluru et al.2024 · 1 citationarXiv
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing2310.15479v2 · Namjoon Suh, Xiaofeng Lin, Din-Yin Hsieh et al.2023 · 7 citationsarXiv
MissDiff: Training Diffusion Models on Tabular Data with Missing Values2307.00467v1 · Yidong Ouyang, Liyan Xie, Chongxuan Li et al.2023 · 5 citationsarXiv
Utility Theory of Synthetic Data Generation2305.10015v4 · Shirong Xu, Will Wei Sun, Guang Cheng2023 · 3 citationsarXiv
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm2303.07287v3 · Huiming Zhang, Haoyu Wei, Guang Cheng2023 · 1 citationarXiv
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints2301.10230v3 · Yuantong Li, Guang Cheng, Xiaowu Dai2023 · 0 citationsarXiv
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms2301.08844v2 · Ximing Li, Chendi Wang, Guang Cheng2023 · 1 citationarXiv
Ranking Differential Privacy2301.00841v1 · Shirong Xu, Will Wei Sun, Guang Cheng2023 · 0 citationsarXiv
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation2211.15809v1 · Yucong Liu, Chi-Hua Wang, Guang Cheng2022 · 2 citationsarXiv
Improving Adversarial Robustness by Contrastive Guided Diffusion Process2210.09643v2 · Yidong Ouyang, Liyan Xie, Guang Cheng2022 · 0 citationsarXiv
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies2210.06140v4 · Zhanyu Wang, Guang Cheng, Jordan Awan2022 · 1 citationarXiv
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary2207.01602v1 · Tianyang Hu, Ruiqi Liu, Zuofeng Shang et al.2022 · 1 citationarXiv
Nonparametric Testing Under Randomized Sketching.33656986 · Liu, Meimei, Shang, Zuofeng, Yang, Yun et al.2022 · 2 citationsIEEE transactions on pattern analysis and machine intelligence. 2022;44(8):4280-4290
Dynamic Matching Bandit For Two-Sided Online Markets2205.03699v3 · Yuantong Li, Chi-hua Wang, Guang Cheng et al.2022 · 1 citationarXiv
Federated Online Sparse Decision Making2202.13448v2 · Chi-Hua Wang, Wenjie Li, Guang Cheng et al.2022 · 1 citationarXiv
Enhanced Nearest Neighbor Classification for Crowdsourcing2203.00781v1 · Jiexin Duan, Xingye Qiao, Guang Cheng2022 · 0 citationsarXiv
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions2202.12119v2 · Zhiying Fang, Guang Cheng2022 · 2 citationsarXiv
Attention Enables Zero Approximation Error2202.12166v1 · Zhiying Fang, Yidong Ouyang, Ding-Xuan Zhou et al.2022 · 1 citationarXiv
Residual Bootstrap Exploration for Stochastic Linear Bandit2202.11474v2 · Shuang Wu, Chi-Hua Wang, Yuantong Li et al.2022 · 2 citationsarXiv
Bayes-Optimal Classifiers under Group Fairness2202.09724v5 · Xianli Zeng, Edgar Dobriban, Guang Cheng2022 · 5 citationsarXiv
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness2202.06996v1 · Yue Xing, Qifan Song, Guang Cheng2022 · 1 citationarXiv
Decentralized Sparse Linear Regression via Gradient-Tracking: Linear Convergence and Statistical Guarantees2201.08507v2 · Marie Maros, Gesualdo Scutari, Ying Sun et al.2022 · 3 citationsarXiv
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning2108.03706v3 · Pratik Ramprasad, Yuantong Li, Zhuoran Yang et al.2021 · 22 citationsarXiv
Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization2106.09215v5 · Wenjie Li, Chi-Hua Wang, Guang Cheng et al.2021 · 4 citationsarXiv
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality2102.10080v2 · Yang Yu, Shih-Kang Chao, Guang Cheng2021 · 7 citationsarXiv
Power Iteration for Tensor PCA2012.13669v1 · Jiaoyang Huang, Daniel Z. Huang, Qing Yang et al.2020 · 5 citationsarXiv
Career total: 167 works. 125 are in this corpus.Showing the 50 most recent.
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