个人简介
沈成超，现为中南大学计算机学院特聘副教授、硕士生导师（个人主页），主要从事计算机视觉研究，涉及视觉/多模态大模型、LLM Reasoning、视觉生成、无监督学习、模型推理加速等，发表包括CVPR、ICCV、ECCV、AAAI、NeurIPS、IJCAI等20余篇国际计算机视觉/人工智能论文，并在Google Scholar上被引用1500余次，担任NeurIPS、ICLR等国际顶会领域主席（Area Chair），NeurIPS Top Reviewer，主持国家自然科学基金、湖南省自然科学基金、长沙市自然科学基金多项，担任湖南省人工智能学会委员、青工委副秘书长。
【讲授课程】①计算机组成原理与汇编（必修课，64课时，秋冬学期，本科生）②计算机视觉前沿技术（选修课，32课时，春夏学期，本科生）
【招生信息】课题组长期招收研究生，欢迎对热爱研究、技术的学生加入课题组，群发邮件不回。
【联系方式】scc.cs@csu.edu.cn
【相关链接】[Homepage] [Google Scholar] [DBLP] [Github] [Zhihu]
【开源工程】Word Agent，基于AI智能体的写作辅助系统，WPS、MS Word插件
代表论文
---------------------------- Large Language Models ---------------------------
• Yijun Zhu, Jianxin Wang, Chengchao Shen*. Failure Profiling and Reachable Trajectory Selection for Reasoning Distillation. Annual Conference on Neural Information Processing Systems (NeurIPS, CCF A), 2026. [arXiv] [code] [weights] [datasets]
• Hourun Zhu, Chengchao Shen*. SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models. Arxiv, 2025. [arXiv] [code] [weights]
------------------------------- Visual Generation ------------------------------
• Yongcong Wang, Chengchao Shen*, Guangwei Gao, Wei Wang, Pengwen Dai, Dianjie Lu, Guijuan Zhang, Zhuoran Zheng. LiBrA-Net: Lie-Algebraic Bilateral Affine Fields for Real-Time 4K Video Dehazing. Annual Conference on Neural Information Processing Systems (NeurIPS, CCF A), 2026. [arXiv] [code]
• 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. [paper] [arXiv] [code]
--------------------------- Large Multimodal Models ---------------------------
• Hao Tang, Chengchao Shen*. Learning Compact Vision Tokens for Efficient Large Multimodal Models. Arxiv, 2025. [arXiv] [code] [weights]
------------------------------ Large Vision Models ------------------------------
• Chengchao Shen, Hourun Zhu, Gongfan Fang, Jianxin Wang, Xinchao Wang. Diversity-Guided MLP Reduction for Efficient Large Vision Transformers. Pattern Recognition (中科院一区, IF=9.1), 2026. [paper] [arXiv] [code] [weights]
---------------------- Data-Efficient Vision Transformer ---------------------
• Hao Tang, Dawei Liu, Chengchao Shen*. Data-Efficient Multi-Scale Fusion Vision Transformer. Pattern Recognition (中科院一区, IF=9.1), 2025. [paper] [code]
------------------ Unsupervised Representation Learning ------------------
• Chengchao Shen, Jianzhong Chen, Jianxin Wang. Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning. Pattern Recognition (中科院一区, IF=9.1), 2025. [paper] [arXiv] [code] [blog]
• Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang. Inter-Instance Similarity Modeling for Contrastive Learning. Arxiv, 2023. [arXiv] [code] [blog]
• Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang. Asymmetric Patch Sampling for Contrastive Learning. Pattern Recognition (中科院一区, IF=9.1), 2025. [paper] [arXiv] [code]
• Chengchao Shen, Dawei Liu, Jianxin Wang. Multiple Object Stitching for Unsupervised Representation Learning. Pattern Recognition (中科院一区, IF=9.1), 2025. [paper] [arXiv] [code]
---------------------------- Federated Learning ---------------------------
• 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 Recognition (中科院一区, IF=9.1), 2023. [paper] [arXiv] [code]
------------------------- Knowledge Distillation -------------------------
• 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.
• 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.
• Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song. Amalgamating Knowledge towards Comprehensive Classification. AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2020.
学术服务
Area Chair
• Advances in Neural Information Processing Systems (NeurIPS)
• International Conference on Learning Representations (ICLR)
• International Conference on Machine Learning (ICML)