Wen, Haibin

8 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

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

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

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

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