Chengchao Shen 沈成超

Associate Professor
School of Computer Science and Engineering, Central South University

Research Interest: Self-Supervised/Unsupervised Learning, Zero/one/few-shot Learning, Transfer Learning, Interpretability, Model Compression

[Google Scholar] [DBLP] [Github]

[中文版]

Publications

Training Generative Adversarial Networks in One Stage
Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2021
[paper] [supp] [arXiv] [code]
[bibtex]
[abstract]
Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2021
[paper] [arXiv] [code]
[bibtex]
[abstract]
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song
The IEEE International Conference on Computer Vision (ICCV, CCF A), 2019
[paper] [supp] [arXiv]
[bibtex]
[abstract]
Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song
AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2019
[paper] [arXiv] [code]
[bibtex]
[abstract]
Intra-class Structure Aware Networks for Screen Defect Detection
Chengchao Shen, Jie Song, Sihui Luo, Li Sun, Mingli Song
International Conference on Neural Information Processing (ICONIP, CCF C), 2018
[paper]
[bibtex]
[abstract]
Selective Zero-Shot Classification With Augmented Attributes
Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song
The European Conference on Computer Vision (ECCV, CCF B), 2018
[paper] [arXiv]
[bibtex]
[abstract]
Transductive Unbiased Embedding for Zero-Shot Learning
Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2018
[paper] [arXiv]
[bibtex]
[abstract]
Contrastive Model Inversion for Data-Free Knowledge Distillation
Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song
International Joint Conference on Artificial Intelligence (IJCAI, CCF A), 2021
[paper] [arXiv] [code]
[bibtex]
[abstract]
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song
Advances in Neural Information Processing Systems (NeurIPS, CCF A), 2021
[paper] [arXiv] [supp] [code]
[bibtex]
[abstract]
Data-Free Adversarial Distillation
Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song
ArXiv:1912.11006, 2019
[arXiv] [code]
[bibtex]
[abstract]
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2020
[paper] [arXiv] [supp] [code]
[bibtex]
[abstract]
Deep Model Transferability from Attribution Maps
Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
Advances in Neural Information Processing Systems (NeurIPS, CCF A), 2019
[paper] [arXiv] [supp] [code]
[bibtex]
[abstract]

Academic Services

Program Committee: Journal Reviewer: