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Jie Chen 0001
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Publications
- 2025
- [j50]Xiawu Zheng
, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji:
An Information Theory-Inspired Strategy for Automated Network Pruning. Int. J. Comput. Vis. 133(8): 5455-5482 (2025) - [j46]Zhiwei Nie
A unified evolution-driven deep learning framework for virus variation driver prediction. Nat. Mac. Intell. 7(1): 131-144 (2025) - [i53]Zhiwei Nie, Hongyu Zhang, Hao Jiang, Yutian Liu, Xiansong Huang, Fan Xu, Jie Fu, Zhixiang Ren, Yonghong Tian, Wen-Bin Zhang, Jie Chen:
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning. CoRR abs/2506.17963 (2025) - 2024
- [j41]Qinqin Zhou
Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6525-6541 (2024) - 2023
- [j36]Jie Chen, Zhiwei Nie
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. 37(6): 650-665 (2023) - [j31]Pengchong Qiao, Han Li, Guoli Song
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging 42(5): 1546-1562 (2023) - [j30]Yuxin Zhang
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7946-7955 (2023) - [c69]Quanmin Liang
Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models. ACM Multimedia 2023: 3837-3846 - [c68]Xinzi Cao
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia 2023: 5655-5664 - 2022
- [c64]Tianyu Wang, Wenming Yang, Jie Chen, Yonghong Tian, Dong-Qing Wei:
ConformerDTI: Local Features Coupling Global Representations for Drug-Target Interaction Prediction. BIBM 2022: 1227-1234 - [c61]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun
Training-free Transformer Architecture Search. CVPR 2022: 10884-10893 - [i31]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun
Training-free Transformer Architecture Search. CoRR abs/2203.12217 (2022) - 2021
- [j25]Xiawu Zheng
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2936-2952 (2021) - [j24]Jipeng Wu
Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. 118: 108006 (2021) - [c51]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV 2021: 5178-5188 - [c48]Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen:
Learnable Oriented-Derivative Network for Polyp Segmentation. MICCAI (1) 2021: 720-730 - [i17]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021) - [i15]Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying out CNN Channel Pruning in a White Box. CoRR abs/2104.11883 (2021) - [i13]Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji:
An Information Theory-inspired Strategy for Automatic Network Pruning. CoRR abs/2108.08532 (2021) - 2020
- [c45]Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. CVPR 2020: 9018-9027 - [c41]Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen:
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. MICCAI (5) 2020: 289-298 - [i11]Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification. CoRR abs/2004.08787 (2020)
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