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Hancheng Ye
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2020 – today
- 2026
- [c10]Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai (Helen) Li:
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models. AAAI 2026: 25278-25285 - [c9]Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan
, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen:
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. HPCA 2026: 1-15 - [i23]Yuhan Cheng, Hancheng Ye, Hai Helen Li, Jingwei Sun, Yiran Chen:
PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training. CoRR abs/2602.13840 (2026) - [i22]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:
T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning. CoRR abs/2603.03790 (2026) - [i21]Yixiao Wang, Ting Jiang, Zishan Shao, Hancheng Ye, Jingwei Sun, Mingyuan Ma, Jianyi Zhang, Yiran Chen, Hai Li:
ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor. CoRR abs/2604.01552 (2026) - 2025
- [j10]Jingdong Zhang
, Jiayuan Fan
, Peng Ye, Bo Zhang
, Hancheng Ye
, Baopu Li
, Yancheng Cai
, Tao Chen
:
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3657-3672 (2025) - [j9]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
:
SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 9609-9625 (2025) - [j8]Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen
, Baopu Li, Wanli Ouyang:
Efficient Architecture Search via Bi-Level Data Pruning. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1265-1275 (2025) - [j7]Renqiu Xia, Hancheng Ye
, Xiangchao Yan
, Qi Liu, Hongbin Zhou, Zijun Chen, Botian Shi
, Junchi Yan
, Bo Zhang
:
ChartX and ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. IEEE Trans. Image Process. 34: 7436-7447 (2025) - [c8]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:
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training. ICLR 2025 - [c7]Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li:
SADA: Stability-guided Adaptive Diffusion Acceleration. ICML 2025 - [c6]Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen:
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. ICML 2025 - [c5]Ningyuan Yang
, Guanliang Lyu
, Mingchen Ma
, Yiyi Lu
, Yiming Li
, Zhihui Gao
, Hancheng Ye
, Jianyi Zhang
, Tingjun Chen
, Yiran Chen
:
IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol. WiNTECH 2025: 73-80 - [i20]Yueqian Lin, Qinsi Wang, Hancheng Ye, Yuzhe Fu, Hai Helen Li, Yiran Chen:
HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding. CoRR abs/2504.10739 (2025) - [i19]Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen:
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. CoRR abs/2505.19235 (2025) - [i18]Ming-Yu Chung, Jiashuo Fan, Hancheng Ye, Qinsi Wang, Wei-Chen Shen, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective. CoRR abs/2506.00620 (2025) - [i17]Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen:
Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals. CoRR abs/2506.02281 (2025) - [i16]Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun
, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li:
SADA: Stability-guided Adaptive Diffusion Acceleration. CoRR abs/2507.17135 (2025) - [i15]Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai Li:
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models. CoRR abs/2508.01506 (2025) - [i14]Ningyuan Yang, Guanliang Lyu, Mingchen Ma, Yiyi Lu, Yiming Li, Zhihui Gao, Hancheng Ye, Jianyi Zhang, Tingjun Chen, Yiran Chen:
IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol. CoRR abs/2510.01260 (2025) - [i13]Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen:
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems. CoRR abs/2510.12872 (2025) - [i12]Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen:
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. CoRR abs/2511.07665 (2025) - 2024
- [j6]Peng Guo
, Hongyuan Zhu, Hancheng Ye
, Taihao Li, Tao Chen:
Revisiting 3D visual grounding with Context-aware Feature Aggregation. Neurocomputing 601: 128195 (2024) - [c4]Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia
, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang:
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. CVPR 2024: 5578-5588 - [c3]Shengji Tang, Weihao Lin
, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen:
Enhanced Sparsification via Stimulative Training. ECCV (51) 2024: 18-36 - [c2]Sikai Wu, Fukun Yin, Hancheng Ye, Tao Chen:
CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection. IJCNN 2024: 1-8 - [c1]Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang:
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. NeurIPS 2024 - [i11]Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao:
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. CoRR abs/2402.12185 (2024) - [i10]Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen:
Enhanced Sparsification via Stimulative Training. CoRR abs/2403.06417 (2024) - [i9]Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang:
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. CoRR abs/2403.15835 (2024) - [i8]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, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao:
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR abs/2406.11633 (2024) - [i7]Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang:
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. CoRR abs/2410.09873 (2024) - [i6]Qinsi Wang, Saeed Vahidian, Hancheng Ye, Jianyang Gu, Jianyi Zhang, Yiran Chen:
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation. CoRR abs/2410.18311 (2024) - [i5]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:
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training. CoRR abs/2412.11863 (2024) - 2023
- [j5]Hancheng Ye
, Bo Zhang
, Tao Chen
, Jiayuan Fan
, Bin Wang
:
Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10267-10284 (2023) - [j4]Zhen Mei, Peng Ye, Hancheng Ye
, Baopu Li, Jinyang Guo
, Tao Chen
, Wanli Ouyang
:
Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5868-5881 (2023) - [j3]Jiaxiang Chen
, Jiayuan Fan
, Hancheng Ye
, Jie Li
, Yongbin Liao
, Tao Chen
:
Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation. IEEE Trans. Multim. 25: 7337-7349 (2023) - [i4]Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang:
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs. CoRR abs/2303.11923 (2023) - [i3]Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen:
Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction. CoRR abs/2312.13514 (2023) - [i2]Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen, Baopu Li, Wanli Ouyang
:
Efficient Architecture Search via Bi-level Data Pruning. CoRR abs/2312.14200 (2023) - 2022
- [j2]Zengliang Zang
, Wei You
, Hancheng Ye, Yanfei Liang
, Yi Li, Daichun Wang, Yiwen Hu, Peng Yan:
3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China. Remote. Sens. 14(16): 4009 (2022) - [j1]Bo Zhang
, Hancheng Ye
, Gang Yu
, Bin Wang
, Yike Wu, Jiayuan Fan
, Tao Chen
:
Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning. IEEE Trans. Image Process. 31: 2309-2320 (2022) - [i1]Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li:
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation. CoRR abs/2211.08106 (2022)
Coauthor Index
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last updated on 2026-05-08 23:47 CEST by the dblp team
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