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

• 课题组招收2025年秋季入学研究生（包括直博生、硕士生、申请考核制博士生）名额已满。非常感谢大家对课题组的关注与支持!

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

• [Sept, 2024] 史颖欢获得第四届bw必威西汉姆联官网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bw必威西汉姆联官网小米特等奖学金.

• [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bw必威西汉姆联官网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bw必威西汉姆联官网青年五四奖章.

• [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.

• [Feb, 2024] One paper has been accepted by TKDE. Congratulations to Zekun.

Recent Publication

• 史颖欢, 郭金涛, 李泽昆, 祁磊, 高阳. “ 基于可泛化模型的复杂商务场景数据分析. ” 中国科学基金, 2024.

• Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi. “ Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. ” AAAI Conference on Artificial Intelligence (AAAI), 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]

• Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. ” European Conference on Computer Vision (ECCV), 2024.

• Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Code]

• Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao. “ SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. ” IEEE Transactions on Image Processing (TIP), 2024. [Code]

• Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao. “ Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. ” IEEE Transactions on Image Processing (TIP), 2024. [Code]

• Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Exploring Flat Minima for Domain Generalization with Large Learning Rates. ” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. [Code]

• Zekun Li, Lei Qi, Yawen Li, Yinghuan Shi, Yang Gao. “ Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation. ” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. [Code]

More Papers

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