Guang Cheng
Identifiers
- name variant Guang Cheng 0.60 · backfill
Papers (57)
- From Table to Cell: Attention for Better Reasoning with TABALIGN cs.AI · 2026 · author #8
- Let the Target Select for Itself: Data Selection via Target-Aligned Paths cs.LG · 2026 · author #3
- MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs cs.CL · 2026 · author #11
- Arbitrage Analysis in Polymarket NBA Markets q-fin.TR · 2026 · author #1
- DEMUX: Boundary-Aware Multi-Scale Traffic Demixing for Multi-Tab Website Fingerprinting cs.CR · 2026 · author #4
- TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering cs.AI · 2026 · author #10
- Authenticated Contradictions from Desynchronized Provenance and Watermarking cs.CR · 2026 · author #3
- Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting cs.LG · 2026 · author #3
- Enhancing Table Reasoning with Deterministic Table-State Rewards cs.AI · 2026 · author #12
- When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation cs.LG · 2025 · author #4
- Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching cs.LG · 2025 · author #6
- Privacy Auditing Synthetic Data Release through Local Likelihood Attacks cs.LG · 2025 · author #3
- "Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood cs.LG · 2024 · author #12
- MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks cs.CR · 2023 · author #2
- Enhancing Multi-model Inference with Natural Selection math.ST · 2019 · author #2
- Bayesian Fusion Estimation via t-Shrinkage stat.ME · 2018 · author #2
- Distributed Nearest Neighbor Classification math.ST · 2018 · author #3
- High Dimensional Robust Inference for Cox Regression Models math.ST · 2018 · author #4
- Statistical Optimality of Interpolated Nearest Neighbor Algorithms stat.ML · 2018 · author #3
- Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression math.ST · 2018 · author #3
- Quadratic Discriminant Analysis under Moderate Dimension math.ST · 2018 · author #2
- Early Stopping for Nonparametric Testing math.ST · 2018 · author #2
- How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression? math.ST · 2018 · author #3
- Nonparametric Testing under Random Projection math.ST · 2018 · author #3
- Influence of Bi addition on the property of Ag-Bi nano-composite coatings cond-mat.mtrl-sci · 2017 · author #6
- Microstructure and properties of Cu-Sn-Zn-TiO2 Nano-composite coatings on mild steel physics.app-ph · 2017 · author #5
- High Dimensional Inference in Partially Linear Models math.ST · 2017 · author #3
- Non-asymptotic theory for nonparametric testing math.ST · 2017 · author #3
- Distributed inference for quantile regression processes math.ST · 2017 · author #3
- Stability Enhanced Large-Margin Classifier Selection stat.ML · 2017 · author #2
- Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality stat.ML · 2016 · author #3
- Minimax Optimal Estimation in Partially Linear Additive Models under High Dimension math.ST · 2016 · author #3
- Simultaneous Clustering and Estimation of Heterogeneous Graphical Models stat.ML · 2016 · author #4
- Embracing the Blessing of Dimensionality in Factor Models math.ST · 2016 · author #2
- Tensor Graphical Model: Non-convex Optimization and Statistical Inference stat.ML · 2016 · author #6
- Quantile Processes for Semi and Nonparametric Regression math.ST · 2016 · author #3
- Simultaneous Inference for High-dimensional Linear Models math.ST · 2016 · author #2
- Nonparametric Heterogeneity Testing For Massive Data math.ST · 2016 · author #2
- Computational Limits of A Distributed Algorithm For Smoothing Spline math.ST · 2015 · author #2
- Semiparametric Bernstein-von Mises Theorem: Second Order Studies math.ST · 2015 · author #2
- Provable Sparse Tensor Decomposition stat.ML · 2015 · author #4
- Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior math.ST · 2014 · author #3
- Gaussian Approximation of General Nonparametric Posterior Distributions math.ST · 2014 · author #2
- A Partially Linear Framework for Massive Heterogeneous Data math.ST · 2014 · author #2
- Nonparametric inference in generalized functional linear models math.ST · 2014 · author #2
- Active Clinical Trials for Personalized Medicine stat.ME · 2014 · author #3
- Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data math.ST · 2014 · author #1
- Joint asymptotics for semi-nonparametric regression models with partially linear structure math.ST · 2013 · author #1
- Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension stat.ME · 2013 · author #1
- Local and global asymptotic inference in smoothing spline models math.ST · 2012 · author #2
- Semiparametric Additive Transformation Model under Current Status Data math.ST · 2011 · author #1
- How Many Iterations are Sufficient for Semiparametric Estimation? math.ST · 2010 · author #1
- Bootstrap consistency for general semiparametric $M$-estimation math.ST · 2009 · author #1
- Convergence Rate of K-Step Maximum Likelihood Estimate in Semiparametric Models math.ST · 2007 · author #1
- The penalized profile sampler math.ST · 2007 · author #1
- General frequentist properties of the posterior profile distribution math.ST · 2006 · author #1
- Higher order semiparametric frequentist inference with the profile sampler math.ST · 2006 · author #1
Mentions
- 1105.1304 #1 · backfill · confidence 0.70 Guang Cheng
- 2601.22530 #12 · arxiv_oai · confidence 0.70 Guang Cheng
- 1009.2111 #1 · backfill · confidence 0.70 Guang Cheng
- 0906.1310 #1 · backfill · confidence 0.70 Guang Cheng
- 0708.3041 #1 · backfill · confidence 0.70 Guang Cheng
Frequent Coauthors
- Zuofeng Shang 10 shared papers
- Han Liu 4 shared papers
- Hengzhi He 4 shared papers
- Meimei Liu 4 shared papers
- Tung Sum Thomas Kwok 4 shared papers
- Will Wei Sun 4 shared papers
- Xiaofeng Lin 4 shared papers
- Chi-Hua Wang 3 shared papers
- Chunhe Wang 3 shared papers
- Joshua Ward 3 shared papers
- Michael R. Kosorok 3 shared papers
- Xinyu Wang 3 shared papers
- Zhuqing Yu 3 shared papers
- Hanwei Wu 2 shared papers
- Jianhua Z. Huang 2 shared papers
- Junwei Lu 2 shared papers
- Lei Ding 2 shared papers
- Peng Lu 2 shared papers
- Qifan Song 2 shared papers
- Shih-Kang Chao 2 shared papers