Wang, Pengkun

18 publications

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