Researcher — paper.dinq.me

2026 顶会论文

作者位次 #5/7ICLR 2026Oral· Deep Learning / Graph Neural Networks

One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype

Guanjun Wang · Binwu Wang · Jiaming Ma · Zhengyang Zhou · Pengkun Wang · Xu Wang · Yang Wang

OpenReview

作者位次 #4/7ICLR 2026Poster· Social Aspects / Fairness, Equity, Justice and Safety

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning

Liheng Yu · Zhe Zhao · Yuxuan Wang · Pengkun Wang · Xiaofeng Cao · Binwu Wang · Yang Wang

安全社会与人本OpenReview

作者位次 #7/10ICLR 2026Poster

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

Jiaming Ma · Qihe Huang · Haofeng Ma · Guanjun Wang · Sheng Huang · Zhengyang Zhou · Pengkun Wang · Xu Wang · Binwu Wang · Yang Wang

OpenReview

作者位次 #5/5ICLR 2026Poster· Computer Vision / Classification and Understanding

GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition

Yuan Dong · Zhe Zhao · Liheng Yu · Di Wu · Pengkun Wang

多模态OpenReview

作者位次 #7/8ICLR 2026Poster· Computer Vision / Vision Models & Multimodal

Long-tailed Test-Time Adaptation for Vision-Language Models

Xucong Wang · Zhe Zhao · Zekun Wang · Xiaofeng Cao · Xu Wang · Di Wu · Pengkun Wang · Yang Wang

多模态OpenReview

作者位次 #2/6CVPR 2026Poster· Computer Vision & Pattern Recognition

FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models

Xucong Wang · Pengkun Wang · Zhe Zhao · Liheng Yu · Shuang Wang · Yang Wang

多模态OpenReview 项目页

作者位次 #2/6CVPR 2026Spotlight· Computer Vision & Pattern Recognition

LOREAL: Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt Self-Distillation

Xucong Wang · Pengkun Wang · Zhe Zhao · Liheng Yu · Rui Mao · Yang Wang

多模态强化学习与后训练OpenReview 项目页

作者位次 #5/5AAAI 2026Poster· Artificial Intelligence

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective

Liheng Yu · Zhe Zhao · Xucong Wang · Di Wu · Pengkun Wang

OpenReview

作者位次 #5/5AAAI 2026Poster· Artificial Intelligence

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition

Yuan Dong · Zhe Zhao · Liheng Yu · Di Wu · Pengkun Wang

社会与人本理论与学习动力学OpenReview

作者位次 #5/8AAAI 2026Poster· Artificial Intelligence

U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions

Guanjun Wang · Jianhao Zhang · Jiaming Ma · Sheng Huang · Pengkun Wang · Zhengyang Zhou · Binwu Wang · Yang Wang

可解释性社会与人本OpenReview

Pengkun Wang

获取完整研究档案

联系方式

2026 顶会论文

One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition

Long-tailed Test-Time Adaptation for Vision-Language Models

FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models

LOREAL: Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt Self-Distillation

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition

U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions

常见合作者