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Journal Articles
- 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)- 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) - 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)
Conference and Workshop Papers
- 2024
- [c2]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 - [c1]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
Informal and Other Publications
- 2024
- [i8]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) - [i7]Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen:
Enhanced Sparsification via Stimulative Training. CoRR abs/2403.06417 (2024) - [i6]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) - [i5]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) - 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
- [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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