About Me

Hi, I am Yinghuan. I received my B.Sc. and Ph.D. degree both in Computer Science at Nanjing University in 2007 and 2013, respectively. Currently, I am a Professor in the Department of Computer Science and Technology at Nanjing University, and a member of the National Key Laboratory for Novel Software Technology. Also, I am a member of the Reasoning and Learning Research Group, led by Prof. Yang Gao.

In 2011-2012, I visited the IDEA Lab of the University of North Carolina at Chapel Hill (UNC) under the support from the China Scholarship Council (CSC), and worked with Prof. Dinggang Shen. In 2016, I returned to the IDEA Lab for a three months visiting. Also, I spent two months in 2014 as a Visiting Scholar at the Data Science Lab of the University of Technology, Sydney (UTS), working with Prof. Longbing Cao.

Currently, our interests lie broadly in machine learning, pattern recognition, computer vision, and medical image analysis.

Specifically, we have been focusing on developing theories, models, and methods for semi-supervised learning, weakly-supervised learning, domain adaptation, and domain generalization. Our goal is to create efficient and effective solutions to these challenges. We have also been developing machine learning-based tools to help address data analysis problems in medical imaging and clinical data. We hope that these tools can contribute towards building real-world systems for use in clinical scenarios.

Chinese Version (中文简介)

News

• 课题组2026年计划招收（或联合招收）3名博士生和6名硕士生，研究方向包括机器学习理论与方法（涵盖数据高效学习、领域泛化等问题）和多模态大模型技术与应用（面向医疗、化学、材料科学等任务）。欢迎有意申请的同学通过邮件提交材料，包括个人简历、成绩单和简要的研究计划说明。邮件中请注明报考类型（博士/硕士），并务必同时抄送给李泽昆（lizekun@smail.nju.edu.cn）。 对于申请博士的同学，我们将分批次安排线上交流（通常在每个月的月末）；申请硕士的同学将在菠菜导航担保网的本科生开放日活动期间统一进行面试。

• [Apr, 2025] Two papers have been accepted by TMI 2025. Congratulations to You and Zihan.

• [Mar, 2025] Two papers have been accepted by TMI 2025. Congratulations to Shumeng and Haoran.

• [Feb, 2025] We have 3 papers accepted by CVPR 2025. Congratulations to Maochen, Xiran, Qinghe and all the collaborators.

• [Jan, 2025] One paper has been accepted by ICLR 2025. Congratulations to Ze.

• [Jan, 2025] 祝贺金涛入选首届中国科协青年人才托举工程博士生专项（托举学会：中国人工智能学会）.

• [Dec, 2024] 祝贺段岳获批国家自然科学基金委青年学生基础研究项目（博士研究生）.

• [Dec, 2024] 祝贺段岳获批2024年度菠菜担保网论坛研究生栋梁奖学金特等奖.

• [Dec, 2024] 祝贺课题组2位同学入选2024年度菠菜担保网论坛优秀研究生标兵，5位同学入选优秀研究生.

• [Dec, 2024] One paper has been accepted by AAAI 2025. Congratulations to Yayuan.

• [Sept, 2024] 史颖欢获得第四届菠菜担保网论坛教师教学竞赛优秀奖.

• [Sept, 2024] One paper has been accepted by NeurIPS 2024. Congratulations to Jintao.

• [Sept, 2024] 祝贺泰财获得2024年度菠菜担保网论坛小米特等奖学金.

• [Sept, 2024] 祝贺泽昆获得2024年博士研究生创新引领计划-创优项目.

• [Sept, 2024] One paper has been accepted by TIP. Congratulations to Jintao.

• [July, 2024] Two papers have been accepted by ECCV 2024. Congratulations to Jiajun and Muyang.

• [Jun, 2024] Congratulations to Gui Guan and Wang Na for Excellent Master Thesis (Nominee) of Department of Computer Science and Technology of Nanjing University. (祝贺桂冠、王娜获得2024年度菠菜担保网论坛计算机科学与技术系优秀硕士论文奖(提名奖)).

• [May, 2024] 史颖欢获得2024年度菠菜担保网论坛青年五四奖章.

• [Apr, 2024] Two papers about Domain Generalization and Semi-Supervised Medical Image Segmentation have been accepted by TKDE and CVPR 2024. Congratulations to Jian and Qinghe.

Recent Publication

• Zihan Cheng, Jintao Guo, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao. “ Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• You Wang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Haoran Wang, Lian Huai, Wenbin Li, Lei Qi, Xingqun Jiang, Yinghuan Shi. “ WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Qinghe Ma, Jian Zhang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi. “ Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

• Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi. “ Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

• Maochen Yang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi. “ Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

• Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao. “ Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao. “ START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation. ” Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [Code]

• Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi. “ PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. ” ACM Conference on Multimedia (ACM MM), 2024. [Code]

• Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. ” European Conference on Computer Vision (ECCV), 2024. [Code]

More Papers

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