Chengchao Shen

46 papers A* 10Journal 28Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive MLP Pruning for Large Vision Transformers. CoRR Chengchao Shen
2026	J	`jnl`	High-Fidelity Pruning for Large Language Models. CoRR Yijun Zhu, Jianxin Wang, Chengchao Shen
2026	J	`jnl`	Multiple object stitching for unsupervised representation learning. Pattern Recognit. Chengchao Shen, Dawei Liu, Jian-Xin Wang
2025	J	`jnl`	A unified Personalized Federated Learning framework ensuring Domain Generalization. Expert Syst. Appl. Yuan Liu, Zhe Qu, Shu Wang, Chengchao Shen, Yixiong Liang, Jianxin Wang
2025	J	`jnl`	Asymmetric patch sampling for contrastive learning. Pattern Recognit. Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
2025	J	`jnl`	Data-efficient multi-scale fusion vision transformer. Pattern Recognit. Hao Tang, Dawei Liu, Chengchao Shen
2025	J	`jnl`	Diversity-Guided MLP Reduction for Efficient Large Vision Transformers. CoRR Chengchao Shen, Hourun Zhu, Gongfan Fang, Jianxin Wang, Xinchao Wang
2025	J	`jnl`	Learning Compact Vision Tokens for Efficient Large Multimodal Models. CoRR Hao Tang, Chengchao Shen
2025	J	`jnl`	Multi-grained contrast for data-efficient unsupervised representation learning. Pattern Recognit. Chengchao Shen, Jianzhong Chen, Jianxin Wang
2025	J	`jnl`	Multiple Object Stitching for Unsupervised Representation Learning. CoRR Chengchao Shen, Dawei Liu, Jian-Xin Wang
2025	J	`jnl`	SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models. CoRR Hourun Zhu, Chengchao Shen
2024	J	`jnl`	Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning. CoRR Chengchao Shen, Jianzhong Chen, Jianxin Wang
2023	J	`jnl`	Asymmetric Patch Sampling for Contrastive Learning. CoRR Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang
2023	A*	`conf`	How to Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen
2023	—	`conf`	Improving Medical Image Denoising via a Lightweight Plug-and-play Module. BIBM Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang
2023	J	`jnl`	Inter-Instance Similarity Modeling for Contrastive Learning. CoRR Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang
2023	J	`jnl`	Modeling global distribution for federated learning with label distribution skew. Pattern Recognit. Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Yixiong Liang, Jianxin Wang
2022	—	`conf`	MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. BIBM Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang
2022	J	`jnl`	Modeling Global Distribution for Federated Learning with Label Distribution Skew. CoRR Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Jianxin Wang
2021	J	`jnl`	Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021	A*	`conf`	Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
2021	—	`conf`	Learning Dynamic Preference Structure Embedding From Temporal Networks. ICBK Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu
2021	J	`jnl`	Learning Dynamic Preference Structure Embedding From Temporal Networks. CoRR Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu
2021	A*	`conf`	Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021	J	`jnl`	Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
2021	A*	`conf`	Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
2021	A*	`conf`	Training Generative Adversarial Networks in One Stage. CVPR Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
2021	J	`jnl`	Training Generative Adversarial Networks in One Stage. CoRR Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
2020	A*	`conf`	DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020	J	`jnl`	DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020	J	`jnl`	Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
2019	A*	`conf`	Amalgamating Knowledge towards Comprehensive Classification. AAAI Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019	A*	`conf`	Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019	J	`jnl`	Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2019	J	`jnl`	Data-Free Adversarial Distillation. CoRR Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
2019	A*	`conf`	Deep Model Transferability from Attribution Maps. NeurIPS Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
2019	J	`jnl`	Deep Model Transferability from Attribution Maps. CoRR Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
2018	J	`jnl`	Amalgamating Knowledge towards Comprehensive Classification. CoRR Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
2018	—	`conf`	DeepSIC: Deep Semantic Image Compression. ICONIP (1) Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song
2018	—	`conf`	Intra-class Structure Aware Networks for Screen Defect Detection. ICONIP (4) Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun, Mingli Song
2018	—	`conf`	Reliability Aware Web Accessibility Experience Metric. W4A Shuyi Song, Jiajun Bu, Chengchao Shen, Andreas Artmeier, Zhi Yu, Qin Zhou
2018	—	`conf`	Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
2018	J	`jnl`	Selective Zero-Shot Classification with Augmented Attributes. CoRR Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
2018	A*	`conf`	Transductive Unbiased Embedding for Zero-Shot Learning. CVPR Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
2018	J	`jnl`	Transductive Unbiased Embedding for Zero-Shot Learning. CoRR Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
2018	—	`conf`	Value-Aware Resampling and Loss for Imbalanced Classification. CSAE Li Sun, Jie Song, Cheng Hua, Chengchao Shen, Mingli Song