Lin, Guang

18 publications

TMLR 2026 Adversarial Vulnerability from On-Manifold Inseparability and Poor Off-Manifold Convergence Rajdeep Haldar, Yue Xing, Qifan Song, Guang Lin

CVPR 2025 Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Guang Lin, Zihan Cao, Chao Li, Qibin Zhao

NeurIPS 2025 LLM Safety Alignment Is Divergence Estimation in Disguise Rajdeep Haldar, Ziyi Wang, Guang Lin, Yue Xing, Qifan Song

AISTATS 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin

ICLR 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao

ICML 2024 Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin

AISTATS 2024 Fair Supervised Learning with a Simple Random Sampler of Sensitive Attributes Jinwon Sohn, Qifan Song, Guang Lin

AAAI 2024 Federated X-Armed Bandit Wenjie Li, Qifan Song, Jean Honorio, Guang Lin

UAI 2024 On Convergence of Federated Averaging Langevin Dynamics Wei Deng, Qian Zhang, Yian Ma, Zhao Song, Guang Lin

TMLR 2023 Federated High-Dimensional Online Decision Making Chi-Hua Wang, Wenjie Li, Guang Lin

AAAI 2023 Non-Reversible Parallel Tempering for Deep Posterior Approximation Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin

TMLR 2022 Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao Gao, Guang Lin, Wei Zhu

ICLR 2022 Interacting Contour Stochastic Gradient Langevin Dynamics Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang

ICLR 2021 Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction Wei Deng, Qi Feng, Georgios P. Karagiannis, Guang Lin, Faming Liang

ACML 2021 Multi-Branch Network for Cross-Subject EEG-Based Emotion Recognition Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang

NeurIPS 2020 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-Modal Distributions Wei Deng, Guang Lin, Faming Liang

ICML 2020 Non-Convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin

NeurIPS 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng, Xiao Zhang, Faming Liang, Guang Lin