Huang, Weiran

29 publications

ICLRW 2025 Enhanced Continual Learning of Vision-Language Models with Model Fusion Haoyuan Gao, Zicong Zhang, Yuqi Wei, Linglan Zhao, Guilin Li, Yexin Li, Linghe Kong, Weiran Huang

NeurIPS 2025 First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun

ICML 2025 Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang

NeurIPS 2025 PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling Guilin Li, Yun Zhang, Xiuyuan Chen, Chengqi Li, Bo Wang, Linghe Kong, Wenjia Wang, Weiran Huang, Matthias Hwai Yong Tan

ICML 2024 A Statistical Theory of Regularization-Based Continual Learning Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

ECCV 2024 AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering Xiuyuan Chen, Yuan Lin, Yuchen Zhang, Weiran Huang

NeurIPS 2024 Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang

ICML 2024 Information Flow in Self-Supervised Learning Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang

ICML 2024 Matrix Information Theory for Self-Supervised Learning Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan

ICML 2024 OTMatch: Improving Semi-Supervised Learning with Optimal Transport Zhiquan Tan, Kaipeng Zheng, Weiran Huang

ICML 2024 Provable Contrastive Continual Learning Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

NeurIPS 2024 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang

ICMLW 2024 TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones Zhengqing Yuan, Zhaoxu Li, Weiran Huang, Yanfang Ye, Lichao Sun

ICML 2024 Unveiling the Dynamics of Information Interplay in Supervised Learning Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang

ICLR 2023 ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang

NeurIPS 2023 DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kaipeng Zheng, Huishuai Zhang, Weiran Huang

NeurIPS 2023 FD-Align: Feature Discrimination Alignment for Fine-Tuning Pre-Trained Models in Few-Shot Learning Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang

ICML 2023 Rethinking Weak Supervision in Helping Contrastive Learning Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang

ICLR 2023 Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang

ICCV 2023 When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang

ICLR 2023 Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

AISTATS 2022 Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? a Theoretical Analysis Jiaye Teng, Weiran Huang, Haowei He

NeurIPS 2020 Locally Differentially Private (Contextual) Bandits Learning Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

AAAI 2020 Meta-Learning PAC-Bayes Priors in Model Averaging Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

AAAI 2020 New Interpretations of Normalization Methods in Deep Learning Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

AAAI 2019 Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu

IJCAI 2018 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications Weiran Huang, Jungseul Ok, Liang Li, Wei Chen

NeurIPS 2018 Community Exploration: From Offline Optimization to Online Learning Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui

AAAI 2017 Partitioned Sampling of Public Opinions Based on Their Social Dynamics Weiran Huang, Liang Li, Wei Chen