Ye, Hancheng

8 publications

NeurIPS 2025 Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen

ICML 2025 CoreMatching: A Co-Adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen

ICLR 2025 GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-Training Renqiu Xia, Mingsheng Li, Hancheng Ye, Wenjie Wu, Hongbin Zhou, Jiakang Yuan, Tianshuo Peng, Xinyu Cai, Xiangchao Yan, Bin Wang, Conghui He, Botian Shi, Tao Chen, Junchi Yan, Bo Zhang

NeurIPS 2025 KVCOMM: Online Cross-Context KV-Cache Communication for Efficient LLM-Based Multi-Agent Systems Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen

ICML 2025 SADA: Stability-Guided Adaptive Diffusion Acceleration Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

ECCV 2024 Enhanced Sparsification via Stimulative Training Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen

CVPR 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang

NeurIPS 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang