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处理及其应用。近几年在国际著名期刊录用/发表过学术论文100余篇，例如IEEE Transactions on Pattern Analysis and Machine Intelligence （TPAMI, CCFA刊，2024年影响因子：20.8）、IEEE Transactions on Neural Networks and Learning Systems（TNNLS, 2024影响因子: 10.2）等，其中SCI检索60余篇；国际顶级学术会议发表论文30余篇，包括AAAI、CVPR、ACM MM、ICML、NIPS/NeurIPS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，参编省部级教材2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、陕西省自然科学基础研究计划青年项目等。2023年入选“AI华人女性青年学者榜单”、“北洋学者英才计划”，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 ~ 至今 ：天津大学, 医学部医工院，英才副教授、博导
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) S. Shan, H. Liu*, F. Shang, L. Wan, J. Deng. Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026. (CCF A会议)
2) Y. Hui, F. Shang*, H. Liu*, B. Wang, Z. Zhang, L.Wan, W. Feng, X. Lu. VSRELL: A Simple Baseline for Video Super-Resolution and Enhancement in Low-Light environment. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026. (CCF A会议)
3) H. Liu, Z. Li, W. Zuo, F. Shang, L. Wan, W. Feng. SAVSR++: An All-Stage Scale-Aware and Temporal Omniscient Framework for Arbitrary-Scale Video Super-Resolution, International Journal of Computer Vision (IJCV), 2026. (2024 IF: 9.3, CCF A期刊)
4) Z. Zhang, F. Shang*, H. Liu*, L. Wan, W. Feng, Y. Hui. QBasicVSR: Temporal Awareness Adaptation, Quantization for Video Super-Resolution, The 39th Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A会议)
5) S. Chen, H. Liu#, C. Fang, F. Shang, Y. Liu, L. Wan, D. Jiang, Y. Wang. Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 39 (2), 2177-2185. 2025. (CCF A会议)
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, 结题，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) 天津市自然基金面上项目，超声心动图影像智能分析方法研究，在研，主持；
4) 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，结研，主持；
5) 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
Wenbin Zuo, Hongying Liu*, Huadeng Wang, Lingqi Zeng, Ningning Tang, Fanhua Shang, Liang Wan, Jingjing Deng. Enhancing the Impact of Model Performance Gains for Semi-Supervised Medical Image Segmentation, Pattern Recognition, 2026, 174, 112889.
Hongying Liu, Zekun Li, Wenbin Zuo, Fanhua Shang, Liang Wan, Wei Feng. SAVSR++: An All-Stage Scale-Aware and Temporal Omniscient Framework for Arbitrary-Scale Video Super-Resolution, International Journal of Computer Vision, 2026.Siyuan Deng，Fanhua Shang*，Chengchao Zhang，Ji Zhou，Hongying Liu*，Jingyuan Xu，Boosting Adversarial Transferability via Diversified Sampling and Flatness-aware Momentum, Knowledge-Based Systems, June 2026, Vol.343, 115894.
Linlin Yang, Hongying Liu*, Yuanyuan Liu, Fanhua Shang, Liang Wan, Licheng Jiao. Distillation Guided Deep Unfolding Network with Frequency Hierarchical Regularization for Low-dose CT Image Denoising. Neurocomputing, 2025, Vol. 650, 130535.
Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han and Liang Wan, Completed Feature Disentanglement Learning for Multimodal MRIs Analysis, IEEE Journal of Biomedical and Health Informatics, 2025, 29(6), 4325-4334.
Hongying Liu, Zhijin Ge, Zhenyu Zhou, Fanhua Shang, Yuanyuan Liu, Licheng Jiao. Gradient Correction for White-Box Adversarial Attacks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Dec. 2024, 35(12), 18419-18430.
Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang*, Yuanyuan Liu, Lijun Wang, Chaoli Wang, A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution, Engineering Applications of Artificial Intelligence, Augusts 2024, vol. 134, 108601.
Hongying Liu, Zekun Li, Fanhua Shang*, Yuanyuan Liu, Lian Wan, Wei Feng, Radu Timofte. Arbitrary-Scale Super-Resolution via Deep Learning: A Comprehensive Survey, Information Fusion, Vol. 102, Feb.2024, 102015.
会议论文：
l Siyuan Deng, Yerong Li, Fanhua Shang, Hongying Liu*. FLASH: Focused Layer Attention Sink Hijacking. the Association for Computational Linguistics (ACL), 2026. (CCF A).
l Shihao Shan, Hongying Liu*, Fanhua Shang, Liang Wan, Jingjing Deng. Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026. (CCF A).
l Yanming Hui, Fanhua Shang*, Hongying Liu*, Ben Wang, Zhenwei Zhang, Liang Wan*, Wei Feng, Xijun Lu. VSRELL: A Simple Baseline for Video Super-Resolution and Enhancement in Low-Light environment. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026. (CCF A).
l Xijun Lu, Hongying Liu*, Fanhua Shang, Yanming Hui, Liang Wan. PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026. (CCF A).
l Junkang Liu, Fanhua Shang, Hongying Liu*, Kewen Zhu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Zhouchen Lin. FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF A).
l Zhenwei Zhang, Fanhua Shang*, Hongying Liu*, Liang Wan, Wei Feng, Yanming Hui. QBasicVSR: Temporal Awareness Adaptation, Quantization for Video Super-Resolution, 39th Conference on Neural Information Processing Systems (NeurIPS) 2025. (CCF A).
l Chengchao Zhang, Fanhua Shang*, Hongying Liu*, Liang Wan, Wei Feng. FedAGC: Federated Continual Learning with Asymmetric Gradient Correction, International Conference on Computer Vision (ICCV) 2025. (CCF A).
l Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu*, Yuanyuan Liu. Consistency of Local and Global Flatness for Federated Learning. ACMMM 2025, Pages: 3875-3883. (CCF A).
l Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu*, Jin Liu, Wei Feng. Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. Proceedings of 42nd International Conference on Machine Learning (ICML), PMLR 267, 2025. (CCF A).
l Sen Chen, Hongying Liu#, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Liang Wan, Dongmei Jiang, Yaowei Wang. Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. Proceedings of the 39th AAAI Conferenfzraszce on Artificial Intelligence (AAAI), 39 (2), 2177-2185. 2025 (CCF A)
l Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu*, Yuangang Li, Yunxiang Gong. FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning, Proceedings of 32th ACM Multimedia 2024, 2955-2963, Oct 2024 (ACM MM). (CCF A).
l Zekun Li, Hongying Liu*, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng, SAVSR: Arbitrary-Scale Video Super-Resolution via A Learned Scale-Adaptive Network, Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024, 38(4), 3288-3296. (CCF A)
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；