Weiran Huang

According to our database, Weiran Huang authored at least 46 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CrystalX: Ultra-Precision Crystal Structure Resolution and Error Correction Using Deep Learning.

Kaipeng Zheng, Weiran Huang, Wanli Ouyang, Hansen Zhong, Yuqiang Li

CoRR, 2024

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy.

Hong Li, Zhiquan Tan, Xingyu Li, Weiran Huang

CoRR, 2024

Investigating the Impact of Model Complexity in Large Language Models.

Jing Luo, Huiyuan Wang, Weiran Huang

CoRR, 2024

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training.

Kun Song, Zhiquan Tan, Bochao Zou, Jiansheng Chen, Huimin Ma, Weiran Huang

CoRR, 2024

An adapted large language model facilitates multiple medical tasks in diabetes care.

Lai Wei, Zhen Ying, Muyang He, Yutong Chen, Qian Yang, Yanzhe Hong, Jiaping Lu, Xiaoying Li, Weiran Huang, Ying Chen

CoRR, 2024

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.

Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang

CoRR, 2024

BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection.

Kang Zhang, Osamu Yoshie, Weiran Huang

CoRR, 2024

ChemLLM: A Chemical Large Language Model.

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

CoRR, 2024

The Information of Large Language Model Geometry.

Zhiquan Tan, Chenghai Li, Weiran Huang

CoRR, 2024

Large Language Model Evaluation via Matrix Entropy.

Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang

CoRR, 2024

A Statistical Theory of Regularization-Based Continual Learning.

Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Matrix Information Theory for Self-Supervised Learning.

Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provable Contrastive Continual Learning.

Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OTMatch: Improving Semi-Supervised Learning with Optimal Transport.

Zhiquan Tan, Kaipeng Zheng, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Information Flow in Self-Supervised Learning.

Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unveiling the Dynamics of Information Interplay in Supervised Learning.

Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Efficient Few-Shot Clinical Task Adaptation with Large Language Models.

Kaipeng Zheng, Weiran Huang, Lichao Sun

CoRR, 2023

Understanding Grokking Through A Robustness Viewpoint.

Zhiquan Tan, Weiran Huang

CoRR, 2023

InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4.

Lai Wei, Zihao Jiang, Weiran Huang, Lichao Sun

CoRR, 2023

FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?

Zihao Jiang, Yunkai Dang, Dong Pang, Huishuai Zhang, Weiran Huang

CoRR, 2023

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation.

Kaipeng Zheng, Huishuai Zhang, Weiran Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Weak Supervision in Helping Contrastive Learning.

Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang

Proceedings of the International Conference on Machine Learning, 2023

ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations.

Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding.

Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards the Generalization of Contrastive Self-Supervised Learning.

Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method.

Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning with Noisily-labeled Class-imbalanced Data.

Manyi Zhang, Chun Yuan, Jun Yao, Weiran Huang

CoRR, 2022

Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis.

Jiaye Teng, Weiran Huang, Haowei He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Towards the Generalization of Contrastive Self-Supervised Learning.

Weiran Huang, Mingyang Yi, Xuyang Zhao

CoRR, 2021

Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis.

Jiaye Teng, Weiran Huang

CoRR, 2021

2020

Locally Differentially Private (Contextual) Bandits Learning.

Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Boosting Few-Shot Learning With Adaptive Margin Loss.

Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

New Interpretations of Normalization Methods in Deep Learning.

Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Meta-Learning PAC-Bayes Priors in Model Averaging.

Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DARTS+: Improved Differentiable Architecture Search with Early Stopping.

Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li

CoRR, 2019

Few-Shot Learning With Global Class Representations.

Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks.

Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version).

Weiran Huang, Jungseul Ok, Liang Li, Wei Chen

CoRR, 2018

Multi-Round Influence Maximization (Extended Version).

Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen

CoRR, 2018

Community Exploration: From Offline Optimization to Online Learning.

Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Round Influence Maximization.

Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications.

Weiran Huang, Jungseul Ok, Liang Li, Wei Chen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Partitioned Sampling of Public Opinions Based on Their Social Dynamics.

Weiran Huang, Liang Li, Wei Chen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Partitioned Sampling of Public Opinions Based on Their Social Evolution.

Weiran Huang, Liang Li, Wei Chen

CoRR, 2015