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，湖南省数字医学学会常务理事,IEEE会员。近年来，在国际权威期刊和会议发表论文近50篇，其中IEEE Transactions/ACM Transactions论文23篇（第一/通讯作者19篇），中科院一区15篇，影响因子>10的论文13篇，ESI高被引论文3篇，申请/授权发明专利10余项。担任《中国计算机科学评论》、《Machine Learning Research》等期刊编委、《Electronics》的客座编辑（Guest Editor）。担任ICME2021（CCF B类会议）、ICCGV2021、PRMVIA2023等多个国际会议的地区主席（Area Chair）和分会场主席（Session Chair）。主持国家自然科学基金面上项目1项、国家自然科学基金青年项目1项、湖南省优秀青年基金1项、湖南省自然科学基金青年项目1项、中央高校基本科研业务费1项，参加国家自然科学基金重点项目1项，科技部重点研发计划专项1项，长沙市“揭榜挂帅”项目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年获湖南省教学成果特等奖1项、及国家级教学成果二等奖1项。
二、联系方式
Email：lichenghnu@gmail.com; lichenghnu@163.com
地址：湖南大学电气与信息工程学院
科研在线上的个人主页（有相关论文的code）：
http://www.escience.cn/people/liulicheng/index.html;jsessionid=C53B63602959205FE0C566502C47DCDA-n2
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~目前 湖南大学，电气与信息工程学院，助理教授、副教授。
四、研究领域
图像处理，计算机视觉，深度学习、机器学习，人工智能。具体如下：
应用方面：跨域人脸重建与识别、图像复原、多模态图像融合与分析
基础理论方面：深度学习、宽度学习等新型网络和算法设计
五、学生培养
1. 本实验室目前以科学研究、学术创新为主要导向
2. 根据经费情况会尽可能对学生进行生活补助
3. 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
七、发表论文 （*表示通讯作者）
发表的部分SCI期刊论文如下
[1]C. L. Philip Chen,Licheng Liu*(通讯作者), Long Chen, Yuan Yan Tang, and Yicong Zhou.Weighted Couple Sparse Representation With Classified Regularization for Impulse Noise Removal. IEEE Transactions on Image Processing,vol. 24, pp. 4014-4026, 2015.（CCF A类，中科院1区top，图像处理领域国际顶级期刊, IF:10.856）.
[2]Licheng Liu, Long Chen, C. L. Philip Chen, Yuan Yan Tang, and Chi Man Pun.Weighted Joint Sparse Representation for Removing Mixed Noise in Image, IEEE Transactions on Cybernetics, vol. 47, pp. 600-611, 2017.（CCF B类，中科院1区Top，入选ESI高被引论文,IF:11.448）.
[3] Licheng Liu, C. L. P. Chen, S. Li, Y. Y. Tang, and L. Chen,"Robust Face Hallucination via Locality-Constrained Bi-Layer Representation,"IEEE Transactions on Cybernetics, vol. 48, pp. 1189-1201, 2018.（中科院1区Top, IF:11.448）.
[4] Licheng Liu, C. L. P. 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, pp. 2177-2189, 2018. （CCF B类，中科院2区）.
[5]Licheng Liu, S. Li, and C. L. P. Chen, "Quaternion Locality-Constrained Coding for Color Face Hallucination," IEEE Transactions on Cybernetics, vol. 48, pp. 1474-1485, 2018.（中科院1区Top, IF:11.448）.
[6] Licheng Liu, S. Li, and C. L. P. 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. （CCF B类，中科院2区）.
[7] Licheng Liu, Rushi Lan, and Yaonan 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.（中科院2区，IF:13.451）.
[8] Licheng Liu, C. L. Philip Chen, Shutao Li, "Hallucinating Color Face Image by Learning Graph Representation in Quaternion Space", IEEE Transactions on Cybernetics, vol. 52, pp. 265-277, 2022.（中科院1区Top, IF:11.448）.
[9] Licheng Liu, et. al. , "Noise Robust Face Hallucination Based on Smooth Correntropy Representation," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, pp. 5953-5965, 2022.（中科院1区Top, IF:10.451）.
[10] Licheng Liu, et. al. , "Modal Regression-Based Graph Representation for Noise Robust Face Hallucination," IEEE Transactions on Neural Networks and Learning Systems, vol. 34, pp. 2490-2502, 2023.（中科院1区Top, IF:10.451）.
[11] Licheng Liu, L. Cai, et. al. , "Self-Paced Broad Learning System," IEEE Transactions on Cybernetics, vol. 53, pp. 4029-4042, 2023.
[12]Licheng Liu, T. Liu, et. al., "Modal-regression-based broad learning system for robust regression and classification, " IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/tnnls.2023.3256999, pp. 1-14, 2023.
[13] Q. Feng, C. L. P. Chen, and Licheng Liu* (通讯作者), "A Review of Convex Clustering From Multiple Perspectives: Models, Optimizations, Statistical Properties, Applications, and Connections," IEEE Transactions on Neural Networks and Learning Systems, pp. 1-21, 2023.
[14] X. Wang, C. Chen, R. Lan, Licheng Liu*(通讯作者), Z. Liu, H. Zhou, and X. Luo, "Binary Representation via Jointly Personalized Sparse Hashing," ACM Transactions on Multimedia Computing, Communications, and Applications, DOI: 10.1145/3558769, in press, 2022.
[15] 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, pp. 1-13, 2023.
[16]T. Xie, Licheng Liu* (通讯作者), and L. Zhuang, "Plug-and-Play Priors for Multi-Shot Compressive Hyperspectral Imaging," IEEE Transactions on Image Processing, vol. 32, pp. 5326-5339, 2023.
[17]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.
[18]Licheng Liu, Junhao Chen, Tingyun Liu, C. L. Philip Chen, Bin Yang, "Dynamic Graph Regularized Broad Learning with Marginal Fisher Representation for Noisy Data Classification," accepted for publication, IEEE Transactions on Cybernetics, 2024.
[19] 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, in press, DOI:10.1109/tgrs.2024.3456548, 2024.
[20] Licheng Liu, C. L. Philip Chen, Yicong Zhou, and Xinge You. A new weighted mean filter with a two-phase detector for removing impulse noise.Information Sciences, vol. 315, pp. 1-16, 2015.（CCF B类，中科院2区）.
[21] Licheng Liu, Han Liu, Shutao Li, and C. L. Philip Chen, "Face Hallucination via Multiple Feature Learning with Hierarchical Structure", Information Sciences, 2019.（SCI，CCF B类，中科院2区）.
[22] N. Li, Licheng Liu*(通讯作者), Shutao Li, and Hui Lin, "Robust Face Hallucination via Locality-constrained Multiscale Coding", Information Sciences, 2019.（SCI，CCF B类，中科院2区）.
[23] Long Chen,Licheng Liu*(通讯作者), and C. L. Philip Chen,"A robust bi-sparsity model with non-local regularization for mixed noise reduction," Information Sciences,vol. 354, pp. 101-111, 2016.（SCI，CCF B类，中科院2区）.
[24] Licheng Liu, L. Cai, T. Liu, C. L. P. Chen, and X. Tang, "Cauchy regularized broad learning system for noisy data regression," Information Sciences, vol. 603, pp. 210-221, 2022/07/01/ 2022.
[25] Licheng Liu, X. Tang, C. L. P. Chen, L. Cai, and R. Lan, "Superpixel-guided locality quaternion representation for color face hallucination," Information Sciences, vol. 609, pp. 565-577, 2022/09/01/ 2022.
[26] T.Xie, S. Li, L. Fang, Licheng Liu, "Tensor Completion via Nonlocal Low-Rank Regularization", IEEE Transactions on Cybernetics, in press, 2018.（中科院1区Top, IF:10.387）
[27] B. Yang, Y. Mao, Licheng Liu, et al, "From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial–Channel Augmentation for Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023. （入选ESI高被引论文）
[28] H. Xiao, B. Wang, J. Zheng, Licheng Liu and C. L. P. Chen, "A Fine-grained Detector of Face Mask Wearing Status Based on Improved YOLOX," IEEE Transactions on Artificial Intelligence.
[29] Yushu. Zhang, L. Y. Zhang, Jiantao. Zhou,Licheng. Liu, Fei Chen, and Xing He,"A Review of Compressive Sensing in Information Security Field," IEEE Access, vol. 4, pp. 2507-2519, 2016.（入选ESI高被引论文）
[30] B. Yang, Y. Mao, Licheng Liu, L. Fang and X. Liu, "Change Representation and Extraction in Stripes: Rethinking Unsupervised Hyperspectral Image Change Detection With an Untrained Network," IEEE Transactions on Image Processing, vol. 33, pp. 5098-5113, 2024.
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
