Weiran Huang - RankMe

86 papers A* 26A 1Journal 57Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IDER: IDempotent Experience Replay for Reliable Continual Learning. CoRR Zhanwang Liu, Yuting Li, Haoyuan Gao, Yexin Li, Linghe Kong, Lichao Sun, Weiran Huang
2026	J	`jnl`	Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception. CoRR Lai Wei, Liangbo He, Jun Lan, Lingzhong Dong, Yutong Cai, Siyuan Li, Huijia Zhu, Weiqiang Wang, Linghe Kong, Yue Wang, Zhuosheng Zhang, Weiran Huang
2025	J	`jnl`	Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start. CoRR Lai Wei, Yuting Li, Kaipeng Zheng, Chen Wang, Yue Wang, Linghe Kong, Lichao Sun, Weiran Huang
2025	J	`jnl`	Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? CoRR Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Kaixin Cai, Yiyang Yin, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Yu-Jie Yuan, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2025	J	`jnl`	EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework. CoRR Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Yue Wang, Yuzhi Zhang
2025	J	`jnl`	Enhanced Continual Learning of Vision-Language Models with Model Fusion. CoRR Haoyuan Gao, Zicong Zhang, Yuqi Wei, Linglan Zhao, Guilin Li, Yexin Li, Linghe Kong, Weiran Huang
2025	—	`conf`	FinLLM-B: When Large Language Models Meet Financial Breakout Trading. NAACL (Industry Track) Kang Zhang, Osamu Yoshie, Lichao Sun, Weiran Huang
2025	A*	`conf`	Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization. ICML Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang
2025	J	`jnl`	Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization. CoRR Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang
2025	J	`jnl`	High-Power Training Data Identification with Provable Statistical Guarantees. CoRR Zhenlong Liu, Hao Zeng, Weiran Huang, Hongxin Wei
2025	J	`jnl`	Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction. CoRR Chengzhi Xu, Yuyang Wang, Lai Wei, Lichao Sun, Weiran Huang
2025	J	`jnl`	Information-Theoretic Perspectives on Optimizers. CoRR Zhiquan Tan, Weiran Huang
2025	J	`jnl`	PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling. CoRR Guilin Li, Yun Zhang, Xiuyuan Chen, Chengqi Li, Bo Wang, Linghe Kong, Wenjia Wang, Weiran Huang, Matthias Hwai Yong Tan
2025	J	`jnl`	RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration. CoRR Xiuyuan Chen, Jian Zhao, Yuchen Yuan, Tianle Zhang, Huilin Zhou, Zheng Zhu, Ping Hu, Linghe Kong, Chi Zhang, Weiran Huang, Xuelong Li
2025	J	`jnl`	RhythmFormer: Extracting patterned rPPG signals based on periodic sparse attention. Pattern Recognit. Bochao Zou, Zizheng Guo, Jiansheng Chen, Junbao Zhuo, Weiran Huang, Huimin Ma
2025	J	`jnl`	SageTCR: a structure-based model integrating residue- and atom-level representations for enhanced TCR-pMHC binding prediction. Briefings Bioinform. Xiangyi Li, Chuance Sun, Weiran Huang, Yanjing Wang, Buyong Ma
2025	J	`jnl`	Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO. CoRR Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun
2025	J	`jnl`	Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning. CoRR Yuting Li, Lai Wei, Kaipeng Zheng, Jingyuan Huang, Linghe Kong, Lichao Sun, Weiran Huang
2024	A*	`conf`	A Statistical Theory of Regularization-Based Continual Learning. ICML Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin
2024	J	`jnl`	A Statistical Theory of Regularization-Based Continual Learning. CoRR Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin
2024	J	`jnl`	ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy. CoRR Hong Li, Zhiquan Tan, Xingyu Li, Weiran Huang
2024	J	`jnl`	An adapted large language model facilitates multiple medical tasks in diabetes care. CoRR Lai Wei, Zhen Ying, Muyang He, Yutong Chen, Qian Yang, Yanzhe Hong, Jiaping Lu, Xiaoying Li, Weiran Huang, Ying Chen
2024	J	`jnl`	AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. CoRR Kun Xiang, Zhili Liu, Zihao Jiang, Yunshuang Nie, Runhui Huang, Haoxiang Fan, Hanhui Li, Weiran Huang, Yihan Zeng, Jianhua Han, Lanqing Hong, Hang Xu, Xiaodan Liang
2024	—	`conf`	AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering. ECCV (68) Xiuyuan Chen, Yuan Lin, Yuchen Zhang, Weiran Huang
2024	J	`jnl`	BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection. CoRR Kang Zhang, Osamu Yoshie, Weiran Huang
2024	J	`jnl`	Can I understand what I create? Self-Knowledge Evaluation of Large Language Models. CoRR Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang
2024	J	`jnl`	ChemLLM: A Chemical Large Language Model. CoRR Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang
2024	J	`jnl`	CrystalX: Ultra-Precision Crystal Structure Resolution and Error Correction Using Deep Learning. CoRR Kaipeng Zheng, Weiran Huang, Wanli Ouyang, Hansen Zhong, Yuqiang Li
2024	A*	`conf`	Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models. NeurIPS Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang
2024	J	`jnl`	Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training. CoRR Kun Song, Zhiquan Tan, Bochao Zou, Jiansheng Chen, Huimin Ma, Weiran Huang
2024	A*	`conf`	Information Flow in Self-Supervised Learning. ICML Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang
2024	J	`jnl`	Investigating the Impact of Model Complexity in Large Language Models. CoRR Jing Luo, Huiyuan Wang, Weiran Huang
2024	J	`jnl`	Large Language Model Evaluation via Matrix Entropy. CoRR Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang
2024	A*	`conf`	Matrix Information Theory for Self-Supervised Learning. ICML Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan
2024	A*	`conf`	OTMatch: Improving Semi-Supervised Learning with Optimal Transport. ICML Zhiquan Tan, Kaipeng Zheng, Weiran Huang
2024	A*	`conf`	Provable Contrastive Continual Learning. ICML Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang
2024	J	`jnl`	Provable Contrastive Continual Learning. CoRR Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang
2024	A*	`conf`	SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models. NeurIPS Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang
2024	J	`jnl`	SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models. CoRR Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang
2024	J	`jnl`	The Information of Large Language Model Geometry. CoRR Zhiquan Tan, Chenghai Li, Weiran Huang
2024	A*	`conf`	Unveiling the Dynamics of Information Interplay in Supervised Learning. ICML Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang
2024	J	`jnl`	Unveiling the Dynamics of Information Interplay in Supervised Learning. CoRR Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang
2023	A*	`conf`	ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. ICLR Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang
2023	J	`jnl`	ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. CoRR Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang
2023	J	`jnl`	AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering. CoRR Xiuyuan Chen, Yuan Lin, Yuchen Zhang, Weiran Huang
2023	A*	`conf`	DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation. NeurIPS Kaipeng Zheng, Huishuai Zhang, Weiran Huang
2023	J	`jnl`	DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation. CoRR Kaipeng Zheng, Huishuai Zhang, Weiran Huang
2023	J	`jnl`	Efficient Few-Shot Clinical Task Adaptation with Large Language Models. CoRR Kaipeng Zheng, Weiran Huang, Lichao Sun
2023	A*	`conf`	FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning. NeurIPS Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
2023	J	`jnl`	FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning. CoRR Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang
2023	J	`jnl`	FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? CoRR Zihao Jiang, Yunkai Dang, Dong Pang, Huishuai Zhang, Weiran Huang
2023	J	`jnl`	Information Flow in Self-Supervised Learning. CoRR Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang
2023	J	`jnl`	InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4. CoRR Lai Wei, Zihao Jiang, Weiran Huang, Lichao Sun
2023	J	`jnl`	OTMatch: Improving Semi-Supervised Learning with Optimal Transport. CoRR Zhiquan Tan, Kaipeng Zheng, Weiran Huang
2023	A*	`conf`	Rethinking Weak Supervision in Helping Contrastive Learning. ICML Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
2023	J	`jnl`	Rethinking Weak Supervision in Helping Contrastive Learning. CoRR Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
2023	A*	`conf`	Towards the Generalization of Contrastive Self-Supervised Learning. ICLR Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang
2023	J	`jnl`	Understanding Grokking Through A Robustness Viewpoint. CoRR Zhiquan Tan, Weiran Huang
2023	A*	`conf`	When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method. ICCV Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang
2023	A*	`conf`	Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. ICLR Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
2022	A	`conf`	Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. AISTATS Jiaye Teng, Weiran Huang, Haowei He
2022	J	`jnl`	Learning with Noisily-labeled Class-imbalanced Data. CoRR Manyi Zhang, Chun Yuan, Jun Yao, Weiran Huang
2022	J	`jnl`	Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
2021	J	`jnl`	Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. CoRR Jiaye Teng, Weiran Huang
2021	J	`jnl`	Towards the Generalization of Contrastive Self-Supervised Learning. CoRR Weiran Huang, Mingyang Yi, Xuyang Zhao
2020	A*	`conf`	Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Boosting Few-Shot Learning With Adaptive Margin Loss. CoRR Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020	A*	`conf`	Locally Differentially Private (Contextual) Bandits Learning. NeurIPS Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Locally Differentially Private (Contextual) Bandits Learning. CoRR Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
2020	A*	`conf`	Meta-Learning PAC-Bayes Priors in Model Averaging. AAAI Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li
2020	A*	`conf`	New Interpretations of Normalization Methods in Deep Learning. AAAI Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li
2020	J	`jnl`	New Interpretations of Normalization Methods in Deep Learning. CoRR Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li
2019	J	`jnl`	DARTS+: Improved Differentiable Architecture Search with Early Stopping. CoRR Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li
2019	A*	`conf`	Few-Shot Learning With Global Class Representations. ICCV Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang
2019	J	`jnl`	Few-Shot Learning with Global Class Representations. CoRR Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang
2019	J	`jnl`	Meta-Learning PAC-Bayes Priors in Model Averaging. CoRR Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li
2019	A*	`conf`	Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. AAAI Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu
2018	J	`jnl`	Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version). CoRR Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
2018	A*	`conf`	Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. IJCAI Weiran Huang, Jungseul Ok, Liang Li, Wei Chen
2018	A*	`conf`	Community Exploration: From Offline Optimization to Online Learning. NeurIPS Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
2018	J	`jnl`	Community Exploration: From Offline Optimization to Online Learning. CoRR Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui
2018	J	`jnl`	Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks. CoRR Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu
2018	J	`jnl`	Multi-Round Influence Maximization (Extended Version). CoRR Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
2018	A*	`conf`	Multi-Round Influence Maximization. KDD Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
2017	A*	`conf`	Partitioned Sampling of Public Opinions Based on Their Social Dynamics. AAAI Weiran Huang, Liang Li, Wei Chen
2015	J	`jnl`	Partitioned Sampling of Public Opinions Based on Their Social Evolution. CoRR Weiran Huang, Liang Li, Wei Chen