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Chengchao Shen
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2020 – today
- 2025
- [j3]Yuan Liu, Zhe Qu, Shu Wang, Chengchao Shen, Yixiong Liang, Jianxin Wang:
A unified Personalized Federated Learning framework ensuring Domain Generalization. Expert Syst. Appl. 263: 125700 (2025) - [j2]Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang
, Jin Liu, Jianxin Wang:
Asymmetric patch sampling for contrastive learning. Pattern Recognit. 158: 111012 (2025) - 2024
- [i16]Chengchao Shen, Jianzhong Chen, Jianxin Wang:
Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning. CoRR abs/2407.02014 (2024) - 2023
- [j1]Tao Sheng, Chengchao Shen
Modeling global distribution for federated learning with label distribution skew. Pattern Recognit. 143: 109724 (2023) - [c18]Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang:
Improving Medical Image Denoising via a Lightweight Plug-and-play Module. BIBM 2023: 1350-1355 - [c17]Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen:
How to Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023: 12167-12176 - [i15]Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang:
Asymmetric Patch Sampling for Contrastive Learning. CoRR abs/2306.02854 (2023) - [i14]Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang:
Inter-Instance Similarity Modeling for Contrastive Learning. CoRR abs/2306.12243 (2023) - 2022
- [c16]Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM 2022: 1040-1045 - [i13]Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Jianxin Wang:
Modeling Global Distribution for Federated Learning with Label Distribution Skew. CoRR abs/2212.08883 (2022) - 2021
- [c15]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI 2021: 2541-2549 - [c14]Chengchao Shen, Youtan Yin, Xinchao Wang
Training Generative Adversarial Networks in One Stage. CVPR 2021: 3350-3360 - [c13]Tongya Zheng
Learning Dynamic Preference Structure Embedding From Temporal Networks. ICBK 2021: 393-401 - [c12]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380 - [c11]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932 - [i12]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CoRR abs/2103.00430 (2021) - [i11]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR abs/2105.08584 (2021) - [i10]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR abs/2110.15094 (2021) - [i9]Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. CoRR abs/2111.11886 (2021) - 2020
- [c10]Jie Song
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR 2020: 3921-3929 - [i8]Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR abs/2003.07496 (2020) - [i7]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR abs/2012.04915 (2020)
2010 – 2019
- 2019
- [c9]Chengchao Shen, Xinchao Wang
Amalgamating Knowledge towards Comprehensive Classification. AAAI 2019: 3068-3075 - [c8]Chengchao Shen, Mengqi Xue
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV 2019: 3503-3512 - [c7]Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. NeurIPS 2019: 6179-6189 - [i6]Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR abs/1908.07121 (2019) - [i5]Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. CoRR abs/1909.11902 (2019) - [i4]Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song:
Data-Free Adversarial Distillation. CoRR abs/1912.11006 (2019) - 2018
- [c6]Li Sun, Jie Song, Cheng Hua, Chengchao Shen, Mingli Song:
Value-Aware Resampling and Loss for Imbalanced Classification. CSAE 2018: 21:1-21:6 - [c5]Jie Song
Transductive Unbiased Embedding for Zero-Shot Learning. CVPR 2018: 1024-1033 - [c4]Jie Song
Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) 2018: 474-490 - [c3]Sihui Luo
DeepSIC: Deep Semantic Image Compression. ICONIP (1) 2018: 96-106 - [c2]Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo
Intra-class Structure Aware Networks for Screen Defect Detection. ICONIP (4) 2018: 476-485 - [c1]Shuyi Song, Jiajun Bu, Chengchao Shen, Andreas Artmeier, Zhi Yu, Qin Zhou:
Reliability Aware Web Accessibility Experience Metric. W4A 2018: 24:1-24:4 - [i3]Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song:
Transductive Unbiased Embedding for Zero-Shot Learning. CoRR abs/1803.11320 (2018) - [i2]Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song:
Selective Zero-Shot Classification with Augmented Attributes. CoRR abs/1807.07437 (2018) - [i1]Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. CoRR abs/1811.02796 (2018)
Coauthor Index
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