个人简介
刘红英，天津大学医学部英才副教授，硕士生、博士生导师。博士毕业于早稻田大学信息学相关专业，研究方向主要是智能图像和视频处理及其应用。近几年在国际著名期刊发表过学术论文80余篇，例如IEEE Transactions on Pattern Analysis and Machine Intelligence （TPAMI, CCFA刊，2022年影响因子：24.314）、IEEE Transactions on Neural Networks and Learning Systems（TNNLS, 2022影响因子: 14.255）等，其中SCI检索50余篇；国际顶级学术会议发表论文10余篇，例如ICML、AAAI、IJCAI、ACM MM等CCF A类会议；申报和授权专利20余件，第一作者出版学术专著1部。主持十余个科研项目，包括国家自然基金面上和青年基金项目、教育部留学回国人员启动项目、陕西省自然科学基础研究计划青年项目，商汤科技的人工智能项目等。近期入选了百度的2023年度AI华人女性青年学者榜单，曾获得2019年国际数据挖掘会议（IEEE ICDM, CCF B）Workshop最佳论文奖，获得2018年第五届高分辨率对地观测学术年会的青年创新基金论文奖，2012年谷歌Google的Anita Borg亚洲区优秀领袖和研究成果奖。
工作与教育经历
2023.04 ~ 至今 ：天津大学, 医学部医工院，英才副教授
2016~ 2023：西安电子科技大学, 电子工程学院/人工智能学院，副教授、博导
2013 ~ 2016：西安电子科技大学，电子工程学院，讲师
2012 ~ 2013：日本早稻田大学，信息、生产与系统研究科，研究助手
2009 ~ 2012：日本早稻田大学，信息、生产与系统工程学，工学博士
研究领域与方向
人工智能，计算机视觉，机器学习；
智能医学图像和视频处理；
招生信息
每年招收硕士、博士研究生，欢迎对计算机视觉和智能医学图像视频处理等方向感兴趣的同学联系并加入课题组，邮箱：hyliu2009@tju.edu.cn，见邮件后尽快回复。
相关链接：
日本早稻田大学的博士导师 (IEEE Life Fellow)：Satoshi Goto, 曾经是 Vice President of Research in Egypt Japan University of Science and Technology (E-JUST)
早稻田大学的校友JinJia Zhou (周金佳) 任教于日本的 Hosei University (法政大学 ) : https://www.zhou-lab.info/jinjia-zhou
博士后导师：焦李成教授，https://web.xidian.edu.cn/lchjiao/
代表性学术成果
1) H. Liu, Z. Ruan, P. Zhao, C. Dong, F. Shang, Y. Liu, L. Yang, R.Timofte. Video Super-Resolution Based on Deep Learning: A Comprehensive Survey, Artificial Intelligence Review, 55, pages: 5981-6035, 2022. (2022 IF:9.588)
2) H. Liu, P. Zhao, Z. Ruan, F. Shang, Y. Liu, Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(3), 2127-2135. (CCF A会议)
3) H. Liu, R. Luo, F. Shang, M. Niu, Y. Liu, Progressive Semantic Matching for Video-Text Retrieval, Proceedings of 29th ACM Multimedia 2021 (ACM MM), 2021, 5083-5091. (CCF A会议)
4) Y. Liu, F. Shang, H. Liu*, L. Kong, L. Jiao, Z. Lin, Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI) 2021, 43 (12), 4242-4255. (SCI 1区, 2022 IF: 24.314, CCF A期刊)
5) H. Liu, F. Shang, S. Yang, M. Gong, T. Zhu, L. Jiao, Sparse Manifold Regularized Neural Networks for Polarimetric SAR Terrain Classification, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, 31(8), 2162-2388. (SCI 1区, 2022 IF:14.255)
科研项目
1) 国家自然基金面上基金项目，多元图卷积网络及其应用研究, 在研，主持；
2) 国家自然基金青年基金项目，基于张量稀疏图的半监督图像分类, 结题，主持；
3) 陕西省自然基金重点研发计划项目, 面向5G精准医疗的视频影像超分辨率重建研究，在研，主持；
4) 某单位 (部委项目)，基于认知机理的多源异构高维数据特征抽取，结题，参与。
其他论文 [近三年的期刊，会议]
期刊论文
Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte. Video Super-Resolution Based on Deep Learning: A Comprehensive Survey, Artificial Intelligence Review, 55, pages: 5981-6035, 2022. (SCI 2区, IF:9.588)
Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu*, Qi Zhu, Wei Feng. Laplacian Smoothing Stochastic ADMMs with Differential Privacy Guarantees. IEEE Transactions on Information Forensics and Security (TIFS), 2022, 17, 1814-1826. (SCI 1区, IF: 7.231, CCF A)
Fanhua Shang, Bingkun Wei, Hongying Liu*, Yuanyuan Liu, Pan Zhou and Maoguo Gong. Efficient Gradient Support Pursuit with Less Hard Thresholding for Cardinality-Constrained Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 33 (12), pp. 7806-7817, Dec. 2022. (SCI 1区, IF: 14.255 )
Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu, Jianhui Liu. Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 34, no. 12, pp. 5636-5648, 2022. (IF: 9.235, CCF A)
Hongying Liu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Derui Lv, Shuyuan Yang, Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixel-wise Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, Vol.14, 504-514. (SCI 2区, IF: 4.715)
Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang*, Yuanyuan Liu, Ri Yang, Jianhua Lu, Graph Convolutional Networks by Architecture Search for PolSAR Image Classification, Remote Sensing, 2021, 13 (7), 1404. (SCI 2区, IF: 5.349)
Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu*, Differentially Private ADMM Algorithms for Machine Learning, IEEE Transactions on Information Forensics & Security (TIFS), 2021, 16, 4733-4745. (SCI 1区, IF: 7.231, CCF A)
Fanhua Shang, Zhihui Zhang, Yuanyuan Liu, Hongying Liu*, et al. Efficient Asynchronous Semi-stochastic Block Coordinate Descent Methods for Large-Scale SVD. IEEE Access, 2021, 9: 126159-126171. (SCI 3区, IF: 3.367)
Yuanyuan Liu, Fanhua Shang, Hongying Liu*, Lin Kong, Licheng Jiao, Zhouchen Lin, Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43 (12), 4242-4255. (SCI 1区, IF: 24.314, CCFA)
Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Hongying Liu, Qi Zhu. Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications. IEEE Internet of Things Journal, 2021, 9 (3), 2293-2303. (SCI 1区, IF: 9.471)
Chaolong Zhang, Yuanyuan Liu, Fanhua Shang, Yangyang Li, Hongying Liu. A Novel Learned Primal-Dual Network for Image Compressive Sensing. IEEE Access, 2021, 9: 26041-26050. (SCI 3区, IF: 3.367)
Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao, Sparse Manifold Regularized Neural Networks for Polarimetric SAR Terrain Classification, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, 31(8), 3007-3016. (SCI 1区, IF: 14.255)
Hongying Liu, Ruyi Luo, Fanhua Shang, Xuechun Meng, Shuiping Gou, Biao Hou, Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data, Remote Sensing, 2020, 12 (10), 1593-1607. (SCI 2区, IF: 5.349)
Fanhua Shang, Kaiwen Zhou, Hongying Liu*, James Cheng, Ivor Tsang, Lijun Zhang, Dacheng Tao, Jiao Licheng. VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, 3(1), 188-202 (CCF A, SCI 2区, IF: 9.235)
会议论文：
Linlin Yang, Hongying Liu*, Fanhua Shang, Yuanyuan Liu, Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising, The IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), accepted. (CCF B)
Weixin An, Yingjie Yue, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems, Proceedings of 30th ACM Multimedia 2022 (MM), 5065–5073, 2022. (CCF A)
Dong Wang, Yicheng Liu, Liangji Fang, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, Balanced Gradient Penalty Improves Deep Long-Tailed Learning, Proceedings of 30th ACM Multimedia 2022 (ACM MM), Pages 5093–5101, 2022. (CCF A)
Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu*, Zhouchen Lin. Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots. Proceedings of International Conference on Machine Learning (ICML), PMLR 162:14008-14035, 2022. (CCF A)
Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, HNO: High-order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 36 (7), 7220-7228, 2022. (CCF A)
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu, Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(3), 2127-2135. (CCF A)
Hongying Liu, Ruyi Luo, Fanhua Shang, Mantang Niu, Yuanyuan Liu, Progressive Semantic Matching for Video-Text Retrieval, Proceedings of 29th ACM Multimedia 2021 (ACM MM), 2021, 5083-5091. (CCF A)
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning, 30th International Joint Conference on Artificial Intelligence (IJCAI), 2556-2562, 2021, (CCF A)
Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin. Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(10), 8501-8509. (CCF A)
Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu*. Principal Component Analysis in the Stochastic Differential Privacy Model, Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021, PMLR 161:1110–1119. (CCF B)
获奖与荣誉
2023年 入选百度2023年度AI 华人女性青年学者榜单；
2012年 Google的Anita Borg亚洲区(包括日本、新加坡等国家)优秀领袖和研究成果奖；
2009年 早稻田大学优秀博士全额奖学金；
2009年 陕西省优秀毕业生干部；
2023年 指导本科生的美国大学生数学建模竞赛（MCM/ICM）获得F奖 (特等提名奖)；
2022年 指导本科生的美国大学生数学建模竞赛（MCM/ICM）获得F奖 (特等提名奖)；
2021年 指导本科生的美国大学生数学建模竞赛（MCM/ICM）获得M奖 (一等奖)；
2021年 指导硕士生赵鹏获得教育部国家奖学金；
2020年 指导硕士生朱天文获得教育部国家奖学金；
2019年 指导硕士生王志获得校级优秀硕士学位；