Wang, Pengkun

23 publications

ICLR 2026 FaLW: A Forgetting-Aware Loss Reweighting for Long-Tailed Unlearning Liheng Yu, Zhe Zhao, Yuxuan Wang, Pengkun Wang, Xiaofeng Cao, Binwu Wang, Yang Wang
ICLR 2026 GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-Tailed Recognition Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang
ICLR 2026 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
ICLR 2026 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
ICLR 2026 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
ICML 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-Tailed Data Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang
ICLR 2025 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang
IJCAI 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang
NeurIPS 2025 Deciphering the Extremes: A Novel Approach for Pathological Long-Tailed Recognition in Scientific Discovery Zhe Zhao, HaiBin Wen, Xianfu Liu, Rui Mao, Pengkun Wang, Liheng Yu, Linjiang Chen, Bo An, Qingfu Zhang, Yang Wang
NeurIPS 2025 Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting Jiaming Ma, Binwu Wang, Guanjun Wang, Kuo Yang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Yang Wang
NeurIPS 2025 MoFo: Empowering Long-Term Time Series Forecasting with Periodic Pattern Modeling Jiaming Ma, Binwu Wang, Qihe Huang, Guanjun Wang, Pengkun Wang, Zhengyang Zhou, Yang Wang
AAAI 2025 Multi-Label Self Knowledge Distillation Xucong Wang, Pengkun Wang, Shurui Zhang, Miao Fang, Yang Wang
ICML 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang
AAAI 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-Driven Time Series Analysis Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu, Yang Wang
NeurIPS 2025 TS-MOF: Two-Stage Multi-Objective Fine-Tuning for Long-Tailed Recognition Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang
AAAI 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang
NeurIPS 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang
ICLR 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-Tailed Learning Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang
NeurIPS 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-Tailed Problems Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang
IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang
AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang
ICML 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-Tailed Learning Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Lai Song, Qingfu Zhang, Yang Wang
ICLR 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang