Chengchao Shen

According to our database, Chengchao Shen authored at least 26 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Asymmetric patch sampling for contrastive learning.

Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang

Pattern Recognit., 2025

A unified Personalized Federated Learning framework ensuring Domain Generalization.

Yuan Liu, Zhe Qu, Shu Wang, Chengchao Shen, Yixiong Liang, Jianxin Wang

Expert Syst. Appl., 2025

2024

Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning.

Chengchao Shen, Jianzhong Chen, Jianxin Wang

CoRR, 2024

2023

Modeling global distribution for federated learning with label distribution skew.

Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Yixiong Liang, Jianxin Wang

Pattern Recognit., November, 2023

Inter-Instance Similarity Modeling for Contrastive Learning.

Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang

CoRR, 2023

How to Prevent the Poor Performance Clients for Personalized Federated Learning?

Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Medical Image Denoising via a Lightweight Plug-and-play Module.

Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Modeling Global Distribution for Federated Learning with Label Distribution Skew.

Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Jianxin Wang

CoRR, 2022

MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status.

Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Contrastive Model Inversion for Data-Free Knowledge Distillation.

Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song

CoRR, 2021

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.

Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Model Invertion for Data-Free Knolwedge Distillation.

Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Dynamic Preference Structure Embedding From Temporal Networks.

Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Training Generative Adversarial Networks in One Stage.

Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Progressive Network Grafting for Few-Shot Knowledge Distillation.

Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.

Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Data-Free Adversarial Distillation.

Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song

CoRR, 2019

Deep Model Transferability from Attribution Maps.

Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.

Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Amalgamating Knowledge towards Comprehensive Classification.

Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reliability Aware Web Accessibility Experience Metric.

Shuyi Song, Jiajun Bu, Chengchao Shen, Andreas Artmeier, Zhi Yu, Qin Zhou

Proceedings of the 15th Web for All Conference, 2018

Intra-class Structure Aware Networks for Screen Defect Detection.

Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun, Mingli Song

Proceedings of the Neural Information Processing - 25th International Conference, 2018

DeepSIC: Deep Semantic Image Compression.

Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Selective Zero-Shot Classification with Augmented Attributes.

Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song

Proceedings of the Computer Vision - ECCV 2018, 2018

Transductive Unbiased Embedding for Zero-Shot Learning.

Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Value-Aware Resampling and Loss for Imbalanced Classification.

Li Sun, Jie Song, Cheng Hua, Chengchao Shen, Mingli Song

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018