| 2026 | AAAI | Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange. | Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin |
| 2025 | CVPR | 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 |
| 2024 | AAAI | Federated X-armed Bandit. | Wenjie Li, Qifan Song, Jean Honorio, Guang Lin |
| 2024 | AISTATS | Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. | Jinwon Sohn, Qifan Song, Guang Lin |
| 2024 | AISTATS | Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo. | Haoyang Zheng, Wei Deng, Christian Moya, Guang Lin |
| 2024 | ICLR | Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. | Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao |
| 2024 | ICML | Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics. | Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin |
| 2024 | UAI | On Convergence of Federated Averaging Langevin Dynamics. | Wei Deng, Qian Zhang, Yian Ma, Zhao Song, Guang Lin |
| 2023 | AAAI | Non-reversible Parallel Tempering for Deep Posterior Approximation. | Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin |
| 2022 | ICASSP | Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. | Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin |
| 2022 | ICLR | Interacting Contour Stochastic Gradient Langevin Dynamics. | Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang |
| 2021 | ACML | Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition. | Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang |
| 2021 | ICLR | Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. | Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang |
| 2021 | MICCAI | Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. | Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng |
| 2021 | WSDM | DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. | Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin |
| 2020 | ICML | Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. | Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin |
| 2018 | ICMLA | Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems. | Yixuan Sun, Xiaoyuan Fan, Qiuhua Huang, Xinya Li, Renke Huang, Tianzhixi Yin, Guang Lin |
| 2013 | ICMLC | Improved CamShift tracking algorithm based on motion detection. | Yu-Hui Qui, Jian-Wei Zhang, Guang Lin, Yong-Hui Li, Dong-Fa Gao |
| 2013 | SERVICES | Exploring Cloud Computing for Large-Scale Scientific Applications. | Guang Lin, Binh Han, Jian Yin, Ian Gorton |
| 2011 | UCC | MeDiCi-Cloud: A Workflow Infrastructure for Large-scale Scientific Applications. | Jian Yin, Guang Lin, Ian Gorton, Binh Han |