Yuan, Hui

21 publications

ICLR 2025 A Common Pitfall of Margin-Based Language Model Alignment: Gradient Entanglement Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi

ICML 2025 A First-Order Generative Bilevel Optimization Framework for Diffusion Models Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen

ICLRW 2025 MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

CVPR 2025 MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids Based Implicit Neural Representation Shu Wang, Yanbo Gao, Shuai Li, Chong Lv, Xun Cai, Chuankun Li, Hui Yuan, Jinglin Zhang

NeurIPS 2025 Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models Yingqing Guo, Yukang Yang, Hui Yuan, Mengdi Wang

NeurIPSW 2024 A Common Pitfall of Margin-Based Language Model Alignment: Gradient Entanglement Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi

TMLR 2024 Adversarial Attacks on Online Learning to Rank with Stochastic Click Models Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang

NeurIPS 2024 Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang

ICML 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit Bedi, Mengdi Wang

ICMLW 2024 MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Bedi, Mengdi Wang

AAAI 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang

NeurIPS 2023 Global Structure-Aware Diffusion Process for Low-Light Image Enhancement Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Hui Yuan

NeurIPS 2023 Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang

NeurIPSW 2023 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang

NeurIPS 2023 Unified Off-Policy Learning to Rank: A Reinforcement Learning Perspective Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang

NeurIPS 2022 Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvari, Mengdi Wang

CVPR 2021 CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He

AISTATS 2020 Learning Entangled Single-Sample Distributions via Iterative Trimming Hui Yuan, Yingyu Liang

COLT 2020 Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model Yingyu Liang, Hui Yuan

AAAI 2020 Learning Light Field Angular Super-Resolution via a Geometry-Aware Network Jing Jin, Junhui Hou, Hui Yuan, Sam Kwong