Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation. - Weimin Wu; Jiayuan Fan 001; Tao Chen 003; Hancheng Ye; Bo Zhang 069; Baopu Li (CoRR, 2022)

3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China. - Zengliang Zang; Wei You; Hancheng Ye; Yanfei Liang; Yi Li; Daichun Wang; Yiwen Hu; Peng Yan (Remote. Sens., 2022)

Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning. - Bo Zhang 069; Hancheng Ye; Gang Yu 002; Bin Wang 008; Yike Wu; Jiayuan Fan 001; Tao Chen 003 (IEEE Trans. Image Process., 2022)

Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction. - Jingdong Zhang 003; Jiayuan Fan 001; Peng Ye 006; Bo Zhang 069; Hancheng Ye; Baopu Li; Yancheng Cai; Tao Chen 003 (CoRR, 2023)

Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation. - Jiaxiang Chen; Jiayuan Fan 001; Hancheng Ye; Jie Li 040; Yongbin Liao; Tao Chen 003 (IEEE Trans. Multim., 2023)

Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs. - Hancheng Ye; Bo Zhang 069; Tao Chen 003; Jiayuan Fan 001; Bin Wang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation. - Zhen Mei; Peng Ye 006; Hancheng Ye; Baopu Li; Jinyang Guo; Tao Chen 003; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. - Hancheng Ye; Chong Yu; Peng Ye 006; Renqiu Xia; Yansong Tang; Jiwen Lu; Tao Chen 003; Bo Zhang 069 (CVPR, 2024)

Enhanced Sparsification via Stimulative Training. - Shengji Tang; Weihao Lin 002; Hancheng Ye; Peng Ye 006; Chong Yu; Baopu Li; Tao Chen 003 (ECCV (51), 2024)

CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection. - Sikai Wu; Fukun Yin; Hancheng Ye; Tao Chen 003 (IJCNN, 2024)

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. - Hancheng Ye; Jiakang Yuan; Renqiu Xia; Xiangchao Yan; Tao Chen 003; Junchi Yan; Botian Shi; Bo Zhang 069 (NeurIPS, 2024)

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. - Renqiu Xia; Bo Zhang 069; Hancheng Ye; Xiangchao Yan; Qi Liu; Hongbin Zhou; Zijun Chen; Min Dou; Botian Shi; Junchi Yan; Yu Qiao 001 (CoRR, 2024)

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. - Renqiu Xia; Song Mao; Xiangchao Yan; Hongbin Zhou; Bo Zhang 069; Haoyang Peng; Jiahao Pi; Daocheng Fu; Wenjie Wu; Hancheng Ye; Shiyang Feng; Bin Wang 065; et al. (CoRR, 2024)

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation. - Qinsi Wang; Saeed Vahidian; Hancheng Ye; Jianyang Gu; Jianyi Zhang; Yiran Chen 001 (CoRR, 2024)

Revisiting 3D visual grounding with Context-aware Feature Aggregation. - Peng Guo; Hongyuan Zhu; Hancheng Ye; Taihao Li; Tao Chen 003 (Neurocomputing, 2024)

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 065; Conghui He; Botian Shi; et al. (ICLR, 2025)

Efficient Architecture Search via Bi-Level Data Pruning. - Chongjun Tu; Peng Ye 006; Weihao Lin 002; Hancheng Ye; Chong Yu; Tao Chen 003; Baopu Li; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2025)

HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding. - Yueqian Lin; Qinsi Wang; Hancheng Ye; Yuzhe Fu; Hai Helen Li; Yiran Chen 001 (CoRR, 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 001 (CoRR, 2025)

BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions. - Jingdong Zhang 003; Jiayuan Fan 001; Peng Ye 006; Bo Zhang 069; Hancheng Ye; Baopu Li; Yancheng Cai; Tao Chen 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Model Reprogramming Demystified: A Neural Tangent Kernel Perspective. - Ming-Yu Chung; Jiashuo Fan; Hancheng Ye; Qinsi Wang; Wei-Chen Shen; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo (CoRR, 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 001 (CoRR, 2025)

SADA: Stability-guided Adaptive Diffusion Acceleration. - Ting Jiang; Yixiao Wang; Hancheng Ye; Zishan Shao; Jingwei Sun 002; Jingyang Zhang; Zekai Chen; Jianyi Zhang; Yiran Chen 001; Hai Li 001 (CoRR, 2025)

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models. - Zishan Shao; Yixiao Wang; Qinsi Wang; Ting Jiang; Zhixu Du; Hancheng Ye; Danyang Zhuo; Yiran Chen 001; Hai Li 001 (CoRR, 2025)