Hanze Dong - RankMe

73 papers A* 17A 1Misc 1Journal 52Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Zero Trust Method for Tag Array Authentication of UHF RFID Sensing. IEEE Trans. Netw. Jian Su, Hanze Dong, Dongxu Xia, Alex X. Liu, Baowei Wang
2026	J	`jnl`	Multi-modal regular expression synthesis method based on large language models and semantics. J. Syst. Archit. Zipan Tang, Yixuan Yan, Rongchen Li, Hanze Dong, Bo Sun, Haiming Chen, Hongyu Gao
2026	J	`jnl`	Self-Hinting Language Models Enhance Reinforcement Learning. CoRR Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian
2025	J	`jnl`	A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce. CoRR Wei Xiong, Jiarui Yao, Yuhui Xu, Bo Pang, Lei Wang, Doyen Sahoo, Junnan Li, Nan Jiang, Tong Zhang, Caiming Xiong, Hanze Dong
2025	J	`jnl`	Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion. CoRR Xunpeng Huang, Yingyu Lin, Nikki Lijing Kuang, Hanze Dong, Difan Zou, Yian Ma, Tong Zhang
2025	A*	`conf`	Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. ICLR Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo
2025	J	`jnl`	BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation. CoRR Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2025	J	`jnl`	Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models. CoRR Zhiyuan Hu, Yibo Wang, Hanze Dong, Yuhui Xu, Amrita Saha, Caiming Xiong, Bryan Hooi, Junnan Li
2025	J	`jnl`	Entropy-Regularized Process Reward Model. Trans. Mach. Learn. Res. Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang
2025	J	`jnl`	Fractured Chain-of-Thought Reasoning. CoRR Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, Christof Monz, Junnan Li, Caiming Xiong
2025	—	`conf`	Offline Reinforcement Learning for LLM Multi-step Reasoning. ACL (Findings) Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu
2025	J	`jnl`	Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL. CoRR Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
2025	J	`jnl`	Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training. CoRR Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
2025	J	`jnl`	Reward Models Identify Consistency, Not Causality. CoRR Yuhui Xu, Hanze Dong, Lei Wang, Caiming Xiong, Junnan Li
2025	A*	`conf`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. ICML Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Reward-Guided Speculative Decoding for Efficient LLM Reasoning. CoRR Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong
2025	J	`jnl`	Scalable Chain of Thoughts via Elastic Reasoning. CoRR Yuhui Xu, Hanze Dong, Lei Wang, Doyen Sahoo, Junnan Li, Caiming Xiong
2025	A*	`conf`	ThinK: Thinner Key Cache by Query-Driven Pruning. ICLR Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
2024	J	`jnl`	An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling. CoRR Xunpeng Huang, Hanze Dong, Difan Zou, Tong Zhang
2024	J	`jnl`	Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. CoRR Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo
2024	Misc	`conf`	Enhancing Multi-modal Regular Expression Synthesis via Large Language Models and Semantic Manipulations of Sub-expressions. SETTA Zipan Tang, Yixuan Yan, Rongchen Li, Hanze Dong, Haiming Chen, Hongyu Gao
2024	J	`jnl`	Entropy-Regularized Process Reward Model. CoRR Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang
2024	A*	`conf`	FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation. EMNLP Kashun Shum, Minrui Xu, Jianshu Zhang, Zixin Chen, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza
2024	J	`jnl`	FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation. CoRR Kashun Shum, Minrui Xu, Jianshu Zhang, Zixin Chen, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza
2024	A*	`conf`	Faster Sampling via Stochastic Gradient Proximal Sampler. ICML Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024	J	`jnl`	Faster Sampling via Stochastic Gradient Proximal Sampler. CoRR Xunpeng Huang, Difan Zou, Yi-An Ma, Hanze Dong, Tong Zhang
2024	A*	`conf`	Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. COLT Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang
2024	J	`jnl`	Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. CoRR Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024	A*	`conf`	Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint. ICML Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang
2024	—	`conf`	LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. NAACL (Demonstrations) Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang
2024	A*	`conf`	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. EMNLP Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
2024	J	`jnl`	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. CoRR Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
2024	J	`jnl`	MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. CoRR Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo
2024	A*	`conf`	Mitigating the Alignment Tax of RLHF. EMNLP Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang
2024	J	`jnl`	Offline Reinforcement Learning for LLM Multi-Step Reasoning. CoRR Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu
2024	A*	`conf`	Online Iterative Reinforcement Learning from Human Feedback with General Preference Model. NeurIPS Chenlu Ye, Wei Xiong, Yuheng Zhang, Hanze Dong, Nan Jiang, Tong Zhang
2024	J	`jnl`	PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium. J. Mach. Learn. Res. Shihong Ding, Hanze Dong, Cong Fang, Zhouchen Lin, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. CoRR Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	J	`jnl`	RLHF Workflow: From Reward Modeling to Online RLHF. Trans. Mach. Learn. Res. Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang
2024	A*	`conf`	Reverse Diffusion Monte Carlo. ICLR Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
2024	A*	`conf`	Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference. NeurIPS Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang
2024	J	`jnl`	Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference. CoRR Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yi-An Ma, Tong Zhang
2024	A*	`conf`	Spurious Feature Diversification Improves Out-of-distribution Generalization. ICLR Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang
2024	J	`jnl`	ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo
2023	A	`conf`	Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity. AISTATS Xun Qian, Hanze Dong, Tong Zhang, Peter Richtárik
2023	A*	`conf`	DetGPT: Detect What You Need via Reasoning. EMNLP Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang
2023	J	`jnl`	DetGPT: Detect What You Need via Reasoning. CoRR Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang
2023	J	`jnl`	Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF. CoRR Wei Xiong, Hanze Dong, Chenlu Ye, Han Zhong, Nan Jiang, Tong Zhang
2023	J	`jnl`	LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. CoRR Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang
2023	J	`jnl`	Mitigating the Alignment Tax of RLHF. CoRR Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Yuan Yao, Tong Zhang
2023	J	`jnl`	Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach. CoRR Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
2023	A*	`conf`	Particle-based Variational Inference with Preconditioned Functional Gradient Flow. ICLR Hanze Dong, Xi Wang, Yong Lin, Tong Zhang
2023	J	`jnl`	Provable Particle-based Primal-Dual Algorithm for Mixed Nash Equilibrium. CoRR Shihong Ding, Hanze Dong, Cong Fang, Zhouchen Lin, Tong Zhang
2023	J	`jnl`	RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment. CoRR Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang
2023	J	`jnl`	RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment. Trans. Mach. Learn. Res. Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang
2023	J	`jnl`	Spurious Feature Diversification Improves Out-of-distribution Generalization. CoRR Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang
2023	J	`jnl`	Vocabulary-informed Zero-shot and Open-set Learning. CoRR Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal
2022	A*	`conf`	Bayesian Invariant Risk Minimization. CVPR Yong Lin, Hanze Dong, Hao Wang, Tong Zhang
2022	J	`jnl`	How Powerful is Implicit Denoising in Graph Neural Networks. CoRR Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu
2022	J	`jnl`	Learning the Compositional Domains for Generalized Zero-shot Learning. Comput. Vis. Image Underst. Hanze Dong, Yanwei Fu, Sung Ju Hwang, Leonid Sigal, Xiangyang Xue
2022	A*	`conf`	Local Augmentation for Graph Neural Networks. ICML Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2022	J	`jnl`	Normalizing Flow with Variational Latent Representation. CoRR Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang
2022	J	`jnl`	Particle-based Variational Inference with Preconditioned Functional Gradient Flow. CoRR Hanze Dong, Xi Wang, Yong Lin, Tong Zhang
2022	J	`jnl`	Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2021	J	`jnl`	Local Augmentation for Graph Neural Networks. CoRR Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2021	J	`jnl`	Mathematical Models of Overparameterized Neural Networks. Proc. IEEE Cong Fang, Hanze Dong, Tong Zhang
2020	J	`jnl`	Disentangled Generative Causal Representation Learning. CoRR Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2020	J	`jnl`	Extreme vocabulary learning. Frontiers Comput. Sci. Hanze Dong, Zhenfeng Sun, Yanwei Fu, Shi Zhong, Zhengjun Zhang, Yu-Gang Jiang
2020	J	`jnl`	Mathematical Models of Overparameterized Neural Networks. CoRR Cong Fang, Hanze Dong, Tong Zhang
2020	J	`jnl`	Vocabulary-Informed Zero-Shot and Open-Set Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal
2019	J	`jnl`	Higher-order Weighted Graph Convolutional Networks. CoRR Songtao Liu, Lingwei Chen, Hanze Dong, Zihao Wang, Dinghao Wu, Zengfeng Huang
2019	J	`jnl`	Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations. CoRR Cong Fang, Hanze Dong, Tong Zhang
2018	J	`jnl`	Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. CoRR Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue