Hancheng Ye

42 papers A* 7B 1Journal 32Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models.
AAAI
Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai (Helen) Li
2026 A* conf
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing.
HPCA
Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen
2026 J jnl
PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training.
CoRR
Yuhan Cheng, Hancheng Ye, Hai Helen Li, Jingwei Sun, Yiran Chen
2026 J jnl
T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning.
CoRR
Qinsi Wang, Hancheng Ye, Jinhee Kim, Jinghan Ke, Yifei Wang, Martin Kuo, Zishan Shao, Dongting Li, Yueqian Lin, Ting Jiang, Chiyue Wei, Qi Qian, Wei Wen, Helen Li, Yiran Chen
2025 J jnl
Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals.
CoRR
Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen
2025 J jnl
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen
2025 J jnl
ChartX and ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.
IEEE Trans. Image Process.
Renqiu Xia, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Botian Shi, Junchi Yan, Bo Zhang
2025 A* conf
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models.
ICML
Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen
2025 J jnl
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models.
CoRR
Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen
2025 J jnl
Efficient Architecture Search via Bi-Level Data Pruning.
IEEE Trans. Circuits Syst. Video Technol.
Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen, Baopu Li, Wanli Ouyang
2025 J jnl
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models.
CoRR
Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai Li
2025 J jnl
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing.
CoRR
Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen
2025 A* conf
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training.
ICLR
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
2025 J jnl
HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding.
CoRR
Yueqian Lin, Qinsi Wang, Hancheng Ye, Yuzhe Fu, Hai Helen Li, Yiran Chen
2025 — conf
IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol.
WiNTECH
Ningyuan Yang, Guanliang Lyu, Mingchen Ma, Yiyi Lu, Yiming Li, Zhihui Gao, Hancheng Ye, Jianyi Zhang, Tingjun Chen, Yiran Chen
2025 J jnl
IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol.
CoRR
Ningyuan Yang, Guanliang Lyu, Mingchen Ma, Yiyi Lu, Yiming Li, Zhihui Gao, Hancheng Ye, Jianyi Zhang, Tingjun Chen, Yiran Chen
2025 J jnl
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems.
CoRR
Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen
2025 J jnl
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective.
CoRR
Ming-Yu Chung, Jiashuo Fan, Hancheng Ye, Qinsi Wang, Wei-Chen Shen, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2025 A* conf
SADA: Stability-guided Adaptive Diffusion Acceleration.
ICML
Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li
2025 J jnl
SADA: Stability-guided Adaptive Diffusion Acceleration.
CoRR
Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li
2025 J jnl
SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiangchao Yan, Runjian Chen, Bo Zhang, Hancheng Ye, Renqiu Xia, Jiakang Yuan, Hongbin Zhou, Xinyu Cai, Botian Shi, Wenqi Shao, Ping Luo, Yu Qiao, Tao Chen, Junchi Yan
2024 B conf
CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection.
IJCNN
Sikai Wu, Fukun Yin, Hancheng Ye, Tao Chen
2024 J jnl
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.
CoRR
Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao
2024 J jnl
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation.
CoRR
Qinsi Wang, Saeed Vahidian, Hancheng Ye, Jianyang Gu, Jianyi Zhang, Yiran Chen
2024 J jnl
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.
CoRR
Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Junchi Yan, Fei Wu, Yu Qiao
2024 — conf
Enhanced Sparsification via Stimulative Training.
ECCV (51)
Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen
2024 J jnl
Enhanced Sparsification via Stimulative Training.
CoRR
Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen
2024 J jnl
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training.
CoRR
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
2024 A* conf
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression.
CVPR
Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang
2024 J jnl
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression.
CoRR
Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang
2024 J jnl
Revisiting 3D visual grounding with Context-aware Feature Aggregation.
Neurocomputing
Peng Guo, Hongyuan Zhu, Hancheng Ye, Taihao Li, Tao Chen
2024 A* conf
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy.
NeurIPS
Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
2024 J jnl
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy.
CoRR
Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
2023 J jnl
Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, Tao Chen, Wanli Ouyang
2023 J jnl
Efficient Architecture Search via Bi-level Data Pruning.
CoRR
Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen, Baopu Li, Wanli Ouyang
2023 J jnl
Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation.
IEEE Trans. Multim.
Jiaxiang Chen, Jiayuan Fan, Hancheng Ye, Jie Li, Yongbin Liao, Tao Chen
2023 J jnl
Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs.
IEEE Trans. Pattern Anal. Mach. Intell.
Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang
2023 J jnl
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs.
CoRR
Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang
2023 J jnl
Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction.
CoRR
Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen
2022 J jnl
3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China.
Remote. Sens.
Zengliang Zang, Wei You, Hancheng Ye, Yanfei Liang, Yi Li, Daichun Wang, Yiwen Hu, Peng Yan
2022 J jnl
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation.
CoRR
Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li
2022 J jnl
Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning.
IEEE Trans. Image Process.
Bo Zhang, Hancheng Ye, Gang Yu, Bin Wang, Yike Wu, Jiayuan Fan, Tao Chen