Hui Yuan - RankMe

28 papers A* 11A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. ICLR Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi
2025	A*	`conf`	A First-order Generative Bilevel Optimization Framework for Diffusion Models. ICML Quan Xiao, Hui Yuan, A. F. M. Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen
2025	J	`jnl`	A First-order Generative Bilevel Optimization Framework for Diffusion Models. CoRR Quan Xiao, Hui Yuan, A. F. M. Saif, Gaowen Liu, Ramana Kompella, Mengdi Wang, Tianyi Chen
2025	A*	`conf`	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. ICML 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
2025	J	`jnl`	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. CoRR 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
2025	J	`jnl`	Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models. CoRR Yingqing Guo, Yukang Yang, Hui Yuan, Mengdi Wang
2024	J	`jnl`	A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. CoRR Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi
2024	J	`jnl`	Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. Trans. Mach. Learn. Res. Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
2024	A*	`conf`	Conversational Dueling Bandits in Generalized Linear Models. KDD Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
2024	J	`jnl`	Conversational Dueling Bandits in Generalized Linear Models. CoRR Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
2024	J	`jnl`	Diffusion Model for Data-Driven Black-Box Optimization. CoRR Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang
2024	A*	`conf`	Gradient Guidance for Diffusion Models: An Optimization Perspective. NeurIPS Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
2024	J	`jnl`	Gradient Guidance for Diffusion Models: An Optimization Perspective. CoRR Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
2024	A*	`conf`	MaxMin-RLHF: Alignment with Diverse Human Preferences. ICML Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang
2024	J	`jnl`	MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
2024	A*	`conf`	Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. AAAI Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
2024	J	`jnl`	Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. CoRR Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
2023	J	`jnl`	Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. CoRR Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
2023	A*	`conf`	Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. NeurIPS Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
2023	J	`jnl`	Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. CoRR Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
2023	A*	`conf`	Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
2023	J	`jnl`	Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
2022	A*	`conf`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. NeurIPS Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	J	`jnl`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. CoRR Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2020	A	`conf`	Learning Entangled Single-Sample Distributions via Iterative Trimming. AISTATS Hui Yuan, Yingyu Liang
2020	J	`jnl`	Learning Entangled Single-Sample Distributions via Iterative Trimming. CoRR Hui Yuan, Yingyu Liang
2020	A*	`conf`	Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. COLT Yingyu Liang, Hui Yuan
2020	J	`jnl`	Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. CoRR Yingyu Liang, Hui Yuan