Chengchao Shen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Transductive Inference

Web Accessibility

Top Venues

Publications

Chengchao Shen, Jianzhong Chen, Jianxin Wang
Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning. CoRR (2024)
Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang
Inter-Instance Similarity Modeling for Contrastive Learning. CoRR (2023)
Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Yixiong Liang, Jianxin Wang
Modeling global distribution for federated learning with label distribution skew. Pattern Recognit. 143 (2023)
Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang
Improving Medical Image Denoising via a Lightweight Plug-and-play Module. BIBM (2023)
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)
Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
Asymmetric Patch Sampling for Contrastive Learning. CoRR (2023)
Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM (2022)
Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Jianxin Wang
Modeling Global Distribution for Federated Learning with Label Distribution Skew. CoRR (2022)
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)
Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
Training Generative Adversarial Networks in One Stage. CoRR (2021)
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 (2021)
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. ICBK (2021)
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 (2021)
Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
Training Generative Adversarial Networks in One Stage. CVPR (2021)
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR (2021)
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI (2021)
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI (2021)
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR (2020)
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR (2020)
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR (2020)
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Amalgamating Knowledge towards Comprehensive Classification. AAAI (2019)
Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
Deep Model Transferability from Attribution Maps. NeurIPS (2019)
Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
Deep Model Transferability from Attribution Maps. CoRR (2019)
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV (2019)
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR (2019)
Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
Data-Free Adversarial Distillation. CoRR (2019)
Shuyi Song, Jiajun Bu, Chengchao Shen, Andreas Artmeier, Zhi Yu, Qin Zhou
Reliability Aware Web Accessibility Experience Metric. W4A (2018)
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
Transductive Unbiased Embedding for Zero-Shot Learning. CVPR (2018)
Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) (2018)
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
Amalgamating Knowledge towards Comprehensive Classification. CoRR (2018)
Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song
DeepSIC: Deep Semantic Image Compression. ICONIP (1) (2018)
Li Sun, Jie Song, Cheng Hua, Chengchao Shen, Mingli Song
Value-Aware Resampling and Loss for Imbalanced Classification. CSAE (2018)
Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
Selective Zero-Shot Classification with Augmented Attributes. CoRR (2018)
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
Transductive Unbiased Embedding for Zero-Shot Learning. CoRR (2018)
Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun, Mingli Song
Intra-class Structure Aware Networks for Screen Defect Detection. ICONIP (4) (2018)