沈成超

特聘副教授 硕士生导师

所在单位:计算机学院

学历:博士研究生毕业

性别:男

联系方式:https://chengchaoshen.github.io

学位:博士学位

在职信息:在职

毕业院校:浙江大学

   

个人简介

        沈成超,现为中南大学计算机学院特聘副教授(数据科学与工程系)、硕士生导师(个人主页)。主要从事计算机视觉研究,涉及无监督/自监督学习小样本学习、知识迁移、模型压缩、模型可解释性等,近五年发表了10余篇会议论文,包括CVPR、ICCV、ECCV、AAAI、NeurIPS、IJCAI等10篇国际计算机视觉/人工智能顶会论文,并在Google Scholar上被引用500余次,曾担任了CVPR、ICCV、AAAI、NeurIPS、ICML、ICLR、IJCAI等国际顶会论文审稿人,TIP、TNNLS、Information Sciences、JVCI、NEPL、Neural Computing等国际知名期刊论文审稿人,曾参与科技部科技创新2030-“新一代人工智能”重大项目、国家自然科学基金联合基金项目等,主持湖南省自然科学基金、长沙市自然科学基金各一项。

讲授课程:计算机组成原理与汇编(64课时,秋冬学期,本科生)

招生信息】课题组长期招收研究生,欢迎对热爱计算机视觉研究、有事业心的学生加入课题组,希望你对科研学术追求。也欢迎优秀本科生进入实验室,提前开展研究工作。课题组能保证科研所需的实验条件(具备大规模模型训练计算平台),并提供细致的科研指导充足的助研津贴

联系方式】scc.cs [AT] csu edu cn


代表论文


[1] Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song. Training Generative Adversarial Networks in One Stage. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2021.

[2] Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song. Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2021.

[3] Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song. Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. The IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.

[4] Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song. Amalgamating Knowledge towards Comprehensive Classification. AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2019.

[5] Chengchao Shen, Jie Song, Sihui Luo, Li Sun, Mingli Song. Intra-class Structure Aware Networks for Screen Defect Detection. International Conference on Neural Information Processing (ICONIP, CCF C), 2018.

[6] Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song. Selective Zero-Shot Classification With Augmented Attributes. The European Conference on Computer Vision (ECCV, CCF B), 2018.

[7] Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song. Transductive Unbiased Embedding for Zero-Shot Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2018.

[8] Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song. Contrastive Model Inversion for Data-Free Knowledge Distillation. International Joint Conference on Artificial Intelligence (IJCAICCF A), 2021.

[9] Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song. Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. Advances in Neural Information Processing Systems (NeurIPS, CCF A), 2021.

[10] Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song. DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2020.

[11] Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song. Deep Model Transferability from Attribution Maps. Advances in Neural Information Processing Systems (NeurIPS, CCF A), 2019.


学术服务


会议审稿

  • The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2021, 2022, 2023

  • The IEEE International Conference on Computer Vision (ICCV), 2019, 2021

  • The European Conference on Computer Vision (ECCV), 2022

  • AAAI Conference on Artificial Intelligence (AAAI), 2020, 2021

  • Advances in Neural Information Processing Systems (NeurIPS), 2021, 2022

  • International Conference on Learning Representations (ICLR), 2022, 2023

  • International Conference on Machine Learning (ICML), 2022

  • International Joint Conference on Artificial Intelligence (IJCAI), 2022

  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2022

期刊审稿

  • IEEE Transactions on Image Processing (TIP)

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

  • Information Sciences

  • Journal of Visual Communication and Image Representation (JVCI)

  • Neural Processing Letters (NEPL)

  • Neural Computing