Partitioned Sampling of Public Opinions Based on Their Social Evolution. - Weiran Huang 001; Liang Li; Wei Chen 013 (CoRR, 2015)

Partitioned Sampling of Public Opinions Based on Their Social Dynamics. - Weiran Huang 001; Liang Li; Wei Chen 013 (AAAI, 2017)

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. - Weiran Huang 001; Jungseul Ok; Liang Li; Wei Chen 013 (IJCAI, 2018)

Multi-Round Influence Maximization. - Lichao Sun 001; Weiran Huang 001; Philip S. Yu; Wei Chen 013 (KDD, 2018)

Community Exploration: From Offline Optimization to Online Learning. - Xiaowei Chen 002; Weiran Huang 001; Wei Chen 013; John C. S. Lui (NeurIPS, 2018)

Multi-Round Influence Maximization (Extended Version). - Lichao Sun 001; Weiran Huang 001; Philip S. Yu; Wei Chen 013 (CoRR, 2018)

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version). - Weiran Huang 001; Jungseul Ok; Liang Li; Wei Chen 013 (CoRR, 2018)

Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. - Chang Xu 008; Weiran Huang 001; Hongwei Wang 004; Gang Wang 001; Tie-Yan Liu (AAAI, 2019)

Few-Shot Learning With Global Class Representations. - Aoxue Li; Tiange Luo; Tao Xiang 002; Weiran Huang 001; Liwei Wang 001 (ICCV, 2019)

DARTS+: Improved Differentiable Architecture Search with Early Stopping. - Hanwen Liang; Shifeng Zhang; Jiacheng Sun; Xingqiu He; Weiran Huang 001; Kechen Zhuang; Zhenguo Li (CoRR, 2019)

Meta-Learning PAC-Bayes Priors in Model Averaging. - Yimin Huang; Weiran Huang 001; Liang Li; Zhenguo Li (AAAI, 2020)

New Interpretations of Normalization Methods in Deep Learning. - Jiacheng Sun; Xiangyong Cao; Hanwen Liang; Weiran Huang 001; Zewei Chen; Zhenguo Li (AAAI, 2020)

Boosting Few-Shot Learning With Adaptive Margin Loss. - Aoxue Li; Weiran Huang 001; Xu Lan; Jiashi Feng; Zhenguo Li; Liwei Wang 001 (CVPR, 2020)

Locally Differentially Private (Contextual) Bandits Learning. - Kai Zheng 007; Tianle Cai; Weiran Huang 001; Zhenguo Li; Liwei Wang 001 (NeurIPS, 2020)

Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. - Jiaye Teng; Weiran Huang 001 (CoRR, 2021)

Towards the Generalization of Contrastive Self-Supervised Learning. - Weiran Huang 001; Mingyang Yi; Xuyang Zhao (CoRR, 2021)

Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. - Jiaye Teng; Weiran Huang 001; Haowei He (AISTATS, 2022)

Learning with Noisily-labeled Class-imbalanced Data. - Manyi Zhang; Chun Yuan; Jun Yao; Weiran Huang 001 (CoRR, 2022)

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method. - Manyi Zhang; Xuyang Zhao; Jun Yao; Chun Yuan; Weiran Huang 001 (ICCV, 2023)

Towards the Generalization of Contrastive Self-Supervised Learning. - Weiran Huang 001; Mingyang Yi; Xuyang Zhao; Zihao Jiang 005 (ICLR, 2023)

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. - Tianyang Hu; Zhili Liu; Fengwei Zhou; Wenjia Wang; Weiran Huang 001 (ICLR, 2023)

ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. - Xuyang Zhao; Tianqi Du; Yisen Wang 001; Jun Yao; Weiran Huang 001 (ICLR, 2023)

Rethinking Weak Supervision in Helping Contrastive Learning. - Jingyi Cui; Weiran Huang 001; Yifei Wang 001; Yisen Wang 001 (ICML, 2023)

FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning. - Kun Song 004; Huimin Ma 001; Bochao Zou; Huishuai Zhang; Weiran Huang 001 (NeurIPS, 2023)

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation. - Kaipeng Zheng; Huishuai Zhang; Weiran Huang 001 (NeurIPS, 2023)

FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? - Zihao Jiang 005; Yunkai Dang; Dong Pang; Huishuai Zhang; Weiran Huang 001 (CoRR, 2023)

InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4. - Lai Wei 005; Zihao Jiang 005; Weiran Huang 001; Lichao Sun 001 (CoRR, 2023)

Understanding Grokking Through A Robustness Viewpoint. - Zhiquan Tan; Weiran Huang 001 (CoRR, 2023)

Efficient Few-Shot Clinical Task Adaptation with Large Language Models. - Kaipeng Zheng; Weiran Huang 001; Lichao Sun 001 (CoRR, 2023)

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 001 (ECCV (68), 2024)

Unveiling the Dynamics of Information Interplay in Supervised Learning. - Kun Song 004; Zhiquan Tan; Bochao Zou; Huimin Ma 001; Weiran Huang 001 (ICML, 2024)

Information Flow in Self-Supervised Learning. - Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan 010; Yifan Zhang (ICML, 2024)

OTMatch: Improving Semi-Supervised Learning with Optimal Transport. - Zhiquan Tan; Kaipeng Zheng; Weiran Huang 001 (ICML, 2024)

Provable Contrastive Continual Learning. - Yichen Wen; Zhiquan Tan; Kaipeng Zheng; Chuanlong Xie; Weiran Huang 001 (ICML, 2024)

Matrix Information Theory for Self-Supervised Learning. - Yifan Zhang; Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan 010 (ICML, 2024)

A Statistical Theory of Regularization-Based Continual Learning. - Xuyang Zhao; Huiyuan Wang; Weiran Huang 001; Wei Lin (ICML, 2024)

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models. - Lai Wei 005; Zhiquan Tan; Chenghai Li; Jindong Wang 001; Weiran Huang 001 (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 001 (NeurIPS, 2024)

Large Language Model Evaluation via Matrix Entropy. - Lai Wei 005; Zhiquan Tan; Chenghai Li; Jindong Wang 001; Weiran Huang 001 (CoRR, 2024)

The Information of Large Language Model Geometry. - Zhiquan Tan; Chenghai Li; Weiran Huang 001 (CoRR, 2024)

ChemLLM: A Chemical Large Language Model. - Di Zhang 026; Wei Liu 123; Qian Tan; Jingdan Chen; Hang Yan 001; Yuliang Yan; Jiatong Li 003; Weiran Huang 001; Xiangyu Yue 001; Dongzhan Zhou; Shufei Zhang; Mao Su; et al. (CoRR, 2024)

BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection. - Kang Zhang; Osamu Yoshie; Weiran Huang 001 (CoRR, 2024)

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models. - Zhiquan Tan; Lai Wei 005; Jindong Wang 001; Xing Xie 001; Weiran Huang 001 (CoRR, 2024)

An adapted large language model facilitates multiple medical tasks in diabetes care. - Lai Wei 005; Zhen Ying; Muyang He; Yutong Chen; Qian Yang; Yanzhe Hong; Jiaping Lu; Xiaoying Li; Weiran Huang 001; Ying Chen (CoRR, 2024)

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training. - Kun Song 004; Zhiquan Tan; Bochao Zou; Jiansheng Chen 001; Huimin Ma 001; Weiran Huang 001 (CoRR, 2024)

Investigating the Impact of Model Complexity in Large Language Models. - Jing Luo; Huiyuan Wang; Weiran Huang 001 (CoRR, 2024)

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy. - Hong Li 015; Zhiquan Tan; Xingyu Li; Weiran Huang 001 (CoRR, 2024)

CrystalX: Ultra-Precision Crystal Structure Resolution and Error Correction Using Deep Learning. - Kaipeng Zheng; Weiran Huang 001; Wanli Ouyang; Hansen Zhong; Yuqiang Li (CoRR, 2024)

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Jianhua Han; Lanqing Hong; Hang Xu 004; et al. (CoRR, 2024)

FinLLM-B: When Large Language Models Meet Financial Breakout Trading. - Kang Zhang; Osamu Yoshie; Lichao Sun 001; Weiran Huang 001 (NAACL (Industry Track), 2025)

RhythmFormer: Extracting patterned rPPG signals based on periodic sparse attention. - Bochao Zou; Zizheng Guo; Jiansheng Chen 001; Junbao Zhuo; Weiran Huang 001; Huimin Ma 001 (Pattern Recognit., 2025)

Information-Theoretic Perspectives on Optimizers. - Zhiquan Tan; Weiran Huang 001 (CoRR, 2025)

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Kaixin Cai; Yiyang Yin; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Yu-Jie Yuan; et al. (CoRR, 2025)

Enhanced Continual Learning of Vision-Language Models with Model Fusion. - Haoyuan Gao; Zicong Zhang; Yuqi Wei; Linglan Zhao; Guilin Li 001; Yexin Li; Linghe Kong; Weiran Huang 001 (CoRR, 2025)

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start. - Lai Wei 005; Yuting Li; Kaipeng Zheng; Chen Wang; Yue Wang; Linghe Kong; Lichao Sun 001; Weiran Huang 001 (CoRR, 2025)

Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO. - Lai Wei 005; Yuting Li; Chen Wang; Yue Wang; Linghe Kong; Weiran Huang 001; Lichao Sun 001 (CoRR, 2025)

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization. - Duo Liu; Zhiquan Tan; Linglan Zhao; Zhongqiang Zhang; Xiangzhong Fang; Weiran Huang 001 (CoRR, 2025)

Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning. - Yuting Li; Lai Wei 005; Kaipeng Zheng; Jingyuan Huang; Linghe Kong; Lichao Sun 001; Weiran Huang 001 (CoRR, 2025)

Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction. - Chengzhi Xu; Yuyang Wang; Lai Wei 005; Lichao Sun 001; Weiran Huang 001 (CoRR, 2025)

EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework. - Chen Wang; Lai Wei 005; Yanzhi Zhang; Chenyang Shao; Zedong Dan; Weiran Huang 001; Yue Wang; Yuzhi Zhang (CoRR, 2025)

RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration. - Xiuyuan Chen; Jian Zhao 006; Yuchen Yuan; Tianle Zhang; Huilin Zhou; Zheng Zhu; Ping Hu; Linghe Kong; Chi Zhang 012; Weiran Huang 001; Xuelong Li 001 (CoRR, 2025)

PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling. - Guilin Li 001; Yun Zhang; Xiuyuan Chen; Chengqi Li; Bo Wang; Linghe Kong; Wenjia Wang; Weiran Huang 001; Matthias Hwai Yong Tan (CoRR, 2025)