一、基本情况
刘立成，男，博士，副教授、岳麓学者、博士生导师, 湖南省优秀青年基金获得者，IEEE Senior Member，担任湖南省数字医学学会常务理事，国家新一代自主安全计算系统产业集群专家委员会专家，湖南省人工智能学会青年工作委员会委员，同时也是机器人视觉感知与控制技术国家工程研究中心的青年骨干。近年来，在CVPR、TIP、TNNLS、TCYB、TCSVT、TGRS等顶会顶刊发表论文60余篇，其中IEEE Transactions、CVPR论文40篇（一作/通讯27篇），IF>10的论文18篇，申请/授权发明专利20余项，Google学术引用1500余次，H指数20。担任《Machine Learning Research》、《中国科学与技术学报》等期刊编委、《Electronics》的客座编辑（Guest Editor）。主持国家自然科学基金项目2项（面上1项、青年1项）、湖南省自然科学基金项目2项（优秀青年基金1项、青年基金1项）、广东省自然科学基金面上项目1项、中央高校基本科研业务费1项。2016年获澳门博士研究生科技研发奖，2018年获湖南大学“岳麓学者”称号，2022年获湖南省高等教育教学成果特等奖1项，2023年获国家级研究生教学成果二等奖1项，2024年获中国自动化学会自然科学奖三等奖1项（第一完成人），2025年获《中国科学与技术》学报青年学者一等奖。
二、联系方式
Email：lichenghnu@163.com；lichengliu@hnu.edu.cn
三、学习工作经历
09/2006-07/2010 中国地质大学（武汉），学士。
09/2010~07/2012 湖南大学，硕士，导师：蒋月评教授。
09/2012~04/2016 澳门大学，博士（PhD），导师：Prof. C. L. Philip Chen（陈俊龙教授、IEEE Fellow、欧洲科学院院士）。
07/2016~06/2025 湖南大学，电气与信息工程学院，助理教授、副教授。
07/2025~目前 湖南大学，yl23411永利集团官网，副教授
四、研究领域
图像处理，计算机视觉，人工智能。具体如下：
应用方面：图像超分辨率、暗光图像增强、暗弱目标检测、低质图像识别等
基础理论方面：深度学习、机器学习、宽度学习等新型模型和算法设计
五、招生信息
1. 本实验室目前以科学研究、学术创新为主要导向
2. 对于发表CCF B类以上高水平会议论文的学生将全额资助参加会议，优秀的学生视本人意愿可推荐到澳门大学读博（澳门大学濠江博士生待遇：免学费+月薪2万）
欢迎有志于从事图像处理、计算机视觉、模式识别、人工智能等领域研究的同学报读我的研究生。
六、主持项目
1. 中央高校基本科研业务费，项目编号：531107050878，2016.07-2021.07，主持
2. 国家自然科学基金青年项目，项目编号：61702169，2018.01-2020.12，主持
3. 湖南省自然科学基金青年项目，项目编号：2018JJ3070，2018.01-2020.12， 主持
4. 湖南省优秀青年基金，项目编号：2020JJ3014，2020.01-2022.12，主持
5. 国家自然科学基金面上项目，项目编号：62071174，2021.01-2024.12，主持
6. 广东省自然科学基金面上项目，项目编号：2025A1515010293，2025.01-2027.12，主持
七、发表论文 （*表示通讯作者）
发表的部分顶刊顶会论文如下
[1] Licheng Liu, L. Chen, C. L. Philip Chen, Y. Y. Tang, and C. M. Pun. Weighted Joint Sparse Representation for Removing Mixed Noise in Image, IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 600-611, 2017. （Selected as ESI highly cited paper from 2017-2019）
[2] Licheng Liu, C. L. Philip Chen, S. Li, Y. Y. Tang, and L. Chen, "Robust Face Hallucination via Locality-Constrained Bi-Layer Representation," IEEE Transactions on Cybernetics, vol. 48, no. 4, pp. 1189-1201, 2018.
[3] Licheng Liu, S. Li, and C. L. Philip Chen, "Quaternion Locality-Constrained Coding for Color Face Hallucination," IEEE Transactions on Cybernetics, vol. 48, no, 5, pp. 1474-1485, 2018.
[4] Licheng Liu, C. L. Philip Chen, X. You, Y. Y. Tang, Y. Zhang, and S. Li, "Mixed Noise Removal via Robust Constrained Sparse Representation," IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 9, pp. 2177-2189, 2018.
[5] Licheng Liu, S. Li, and C. L. Philip Chen, "Iterative Relaxed Collaborative Representation with Adaptive Weights Learning for Noise Robust Face Hallucination," IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no, 5, pp. 1284-1295, 2019.
[6] Licheng Liu, C. L. P. Chen, and S. Li, "Hallucinating Color Face Image by Learning Graph Representation in Quaternion Space," IEEE Transactions on Cybernetics, vol. 52, pp. 265-277, 2022.
[7] Licheng Liu, R. Lan, and Y. Wang, "Discriminative Face Hallucination via Locality-Constrained and Category Embedding Representation," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, pp. 7314-7325, 2021.
[8] Licheng Liu, Q. Feng, C. L. P. Chen, and Y. Wang, "Noise Robust Face Hallucination Based on Smooth Correntropy Representation," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, pp. 5953-5965, 2022.
[9] Licheng Liu, C. L. P. Chen, and Y. Wang, "Modal Regression-Based Graph Representation for Noise Robust Face Hallucination," IEEE Transactions on Neural Networks and Learning Systems, vol. 34, pp. 2490-2502, 2023.
[10] Licheng Liu, L. Cai, T. Xie, and Y. Wang, "Self-Paced Broad Learning System," IEEE Transactions on Cybernetics, vol. 53, pp. 4029-4042, 2023.
[11]Licheng Liu, T. Liu, C. L. P. Chen, and Y. Wang, "Modal-regression-based broad learning system for robust regression and classification," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 9, pp. 12344-12357, 2023.
[12] Licheng Liu, J. Chen, B. Yang, Q. Feng, and C. L. P. Chen, "When Broad Learning System Meets Label Noise Learning: A Reweighting Learning Framework," IEEE Transactions on Neural Networks and Learning Systems, in press, DOI: 10.1109/tnnls.2023.3317255, pp. 1-13, 2023.
[13]C. L. Philip Chen, Licheng Liu*(corresponding author), L. Chen, Y. Y. Tang, and Y. Zhou. "Weighted Couple Sparse Representation With Classified Regularization for Impulse Noise Removal," IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4014-4026, 2015.
[14] T. Xie, Licheng Liu* (corresponding author), and L. Zhuang, "Plug-and-Play Priors for Multi-Shot Compressive Hyperspectral Imaging," IEEE Transactions on Image Processing, vol. 32, pp. 5326-5339, 2023.
[15] Q. Feng, C. L. P. Chen, and Licheng Liu* (corresponding author), "A Review of Convex Clustering From Multiple Perspectives: Models, Optimizations, Statistical Properties, Applications, and Connections," in press, DOI: 10.1109/tnnls.2023.3276393, IEEE Transactions on Neural Networks and Learning Systems, pp. 1-21, 2023.
[16]Licheng Liu, T. Liu, W. Zhou, Y. Wang, and M. Liu, "MAPANet: A Multi-Scale Attention-Guided Progressive Aggregation Network for Multi-Contrast MRI Super-Resolution," IEEE Transactions on Computational Imaging, vol. 10, pp. 928-940, 2024.
[17]Licheng Liu, J. Chen, T. Liu, C. L. Philip Chen, B. Yang, "Dynamic Graph Regularized Broad Learning with Marginal Fisher Representation for Noisy Data Classification," IEEE Transactions on Cybernetics, vol. 55, pp. 50-63, 2025.
[18] B. Yang, Z. Wang, X. Liu, L. Fang, and Licheng Liu* (corresponding author), "Reciprocal Transformation-based Joint Deep and Broad Learning for Change Detection with Heterogeneous Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024.
[19] Licheng Liu, Q. Zhang, T. Liu, C. L. Philip Chen, "TC3Net: Transformer and Convolution Coupled Contrastive Network for Single Image Super-Resolution," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 10, pp. 17953-17965, 2025.
[20] X. Wang, C. Chen, R. Lan, Licheng Liu*(corresponding author), Z. Liu, H. Zhou, and X. Luo, "Binary Representation via Jointly Personalized Sparse Hashing," ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 18, no. 3s, pp. 137-137:20, 2022.
[21]W. Fan, Y. Wang, Licheng Liu*(corresponding author), Y. Chen, H. Tan, and Z. Miao, "Efficient and High-Quality Path Planning Guided by Map Information for Mobile Robots," IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/TMECH.2025.3538000, 2025.
[22] W. Fan, Y. Wang, Licheng Liu*(corresponding author), J. Zeng, and M. Liu, "CMANet: A TCN-RMamba-Attention Network for Surgical Phase Online Recognition, " IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, pp. 1460-1472, 2026.
[23] T. Liu, Licheng Liu*(corresponding author), Q. Zhang, Q. Feng, and C. L. Philip Chen, "Graph Attention Prototype Network for Robust Few-Shot Classification," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 33933-33942, 2026.
[24] Q. Zhang, Licheng Liu*(corresponding author), T. Liu, L. Ma, and Y. Wang, "WaveletMixer: When Wavelet Transform Meets Self-Attention in Single Image Super-Resolution," IEEE Transactions on Circuits and Systems for Video Technology, in press, doi:10.1109/tcsvt.2026.3690701, 2026.
[25] T. Liu, Licheng Liu*(corresponding author), Q. Feng, and C. L. P. Chen, "Dual-Branch Transformation Broad Learning for Multiclass Recognition," IEEE Transactions on Systems, Man, and Cybernetics: Systems, in press, doi:10.1109/tsmc.2026.3693265, 2026.
[26]Licheng Liu, J. Liu, Q. Zhang, T. Xie, and C. L. P. Chen, "Learning to Super-Resolve Face Images via Dual-Domain Multi-scale Feature Interaction," IEEE Transactions on Image Processing, in press, doi:10.1109/tip.2026.3702358, 2026.
八、获奖情况
2016年 澳门特别行政区博士科技研发奖（颁发单位：澳门科技基金委）
2022年 湖南省教学成果特等奖（排名8）
2023年 国家级教学成果二等奖（排名8）
2024年 湖南省优秀硕士学位论文指导老师
2024年 中国自动化学会自然科学三等奖（排名第一）
2025年 《中国科学与技术学报》优秀青年学者一等奖
