[Publications] [Honors] [Professional Service] [Teaching] [Students] [中文简历]
I am an associate professor in the College of Computer Science and Technology at Nanjing University of Aeronautics and Astronautics. I received my B.Sc. and Ph.D. degrees in computer science from Nanjing University in 2010 and 2018, respectively, under the supervision of Prof. Yuan Jiang and Prof. Zhi-Hua Zhou. I was a member of LAMDA Group from 2010 to 2018, and visited the University of Birmingham in 2014 for 3 months and University of Notre Dame in 2015.11-2016.11 for one year. My research interests include machine learning and data mining. Specifically, I am working on trustworthy AI, including learning with corrupted labels (crowdsourcing/noisy label learning/PU learning), data distribution shift, continual learning, test-time adaptation, with applications to AI+3D Vision and AI+Financial Analysis.
研究生、本科生科研进组招募
欢迎有志于学术研究，对机器学习、数据挖掘，尤其是可信人工智能/大模型/持续学习/分布偏移自适应/测试时适应/及AI+三维视觉、AI+金融数据分析等相关领域感兴趣的研究生、本科生加入课题组。**招募要求** 1. 对机器学习、数据挖掘领域有浓厚兴趣，具备一定的计算机基础（如编程语言、算法知识等）； 2. 学习态度端正，有较强的责任心与自主学习能力，能够保证科研工作投入时间； 3. 具有良好的团队协作精神与沟通能力。 **加入收获** 1. **科研实践机会**：在李绍园老师的专业指导下，深入接触科研项目，积累宝贵的科研经验； 2. **能力提升**：提升编程能力、数据分析能力和学术写作能力，培养科研思维； 3. **资源支持**：团队提供独立科研工位、相关硬件设备及丰富的学术资料； 若您符合上述要求且有意加入，欢迎将个人简历（含学业成绩、相关技能与经历）发送至lisy@nuaa.edu.cn。邮件主题请注明 “本科生/研究生科研申请 - 姓名 - 专业”。期待与优秀的你一起在科研道路上探索前行！
News:
- 2025-12 郑腾鑫陵、王远见、葛泽庆、孙佳家获 2025年南京航空航天大学校长通令嘉奖
- 2025-12 曾凡昱、杨语希等获 2025年全球校园人工智能算法精英大赛（ [教育部白名单竞赛] ）-全球青年智能体应用场景创新创业挑战赛国赛一等奖（最高奖）
- 2025-12 王远见、杨语希、曾凡昱 获 2025年全球校园人工智能算法精英大赛（ [教育部白名单竞赛] ）-AIC生成式人工智能创新赛国赛一等奖（最高奖、唯一）、省赛一等奖
- 2025-12 张文良、卢昕怡、蒋明忠、王子晨、王远见 获 2025年全球校园人工智能算法精英大赛（ [教育部白名单竞赛] ）-全球青年智能体应用场景创新创业挑战赛省赛一等奖
- 2025-11 郑腾鑫陵、王远见、杨语希、李威汉、魏鹂瑶 获 2025年第二届中国研究生“文化中国”两创大赛（一级甲等）三等奖
- 2025-12 陶子健 研究生国家奖学金
- 2025-11 郑腾鑫陵、杨语希、王远见、曾凡昱、葛泽庆、施天笑、董文政 获 2025年第十九届“挑战杯”（一级甲等）人工智能＋挑战赛一等奖 [学院官微]
- 2025-10 郑腾鑫陵、王远见、葛泽庆、孙佳家 2025年第七届中国研究生人工智能创新大赛（一级甲等）一等奖（最高奖）[南航官微] [南航研究生院官微][学院官微]
- 2025-07 王远见（大四保研生）、 杨语希（大三本科生）、曾凡昱获“中国移动杯”2025江苏生成式人工智能创新大赛总决赛AIGC创新创业赛道一等奖（最高奖，唯一） [南京市人民政府] [新华日报] [凤凰网江苏] [江苏省智新产业数字化研究院]
- 2025-05 郑腾鑫陵 2025年度第三届“启智杯”机器智能大赛二等奖
- 2025-04 杨语希（大三本科生）、王远见（大四保研生）、曾凡昱、葛泽庆、张安东获2025年第五届全国人工智能大赛“AI+数智人能力及客服应用”赛道获 一等奖（最高奖，唯一）[鹏城实验室] [科学网] [中国新闻网] [南方都市报] [学院官微]
- 2025-03 陈佳瑶 2025年校优秀硕士学位论文 [学院官网]
- 2024-12 陶子健、郑金鹏、赵世佶获2024年“移动杯”首届江苏省数字人应用创新大赛创意赛道一等奖（最高奖，唯一） [央视网] [人民政协网] [南航新闻网] [学院新闻]
- 2024-11 赵世佶 研究生国家奖学金
- 2024-09 江苏省科学技术二等奖（排名第4）
- 2023-09 第十八届“挑战杯”专项赛全国特等奖
- 2023-06 郑宇祥、赵世佶 CVPR2023 持续学习竞赛第4名
- 2022-08 宗辰辰、曹正涛、郭洪涛、杜云、谢明昆 IJCAI-ECAI 2022第一届噪声标记学习挖掘挑战赛亚军
- 2021-08-20 万文海、王蕾、陈佳瑶 win the Third Prize of Preliminary Winners In the 2nd Contest of Promoting BRICS Cooperation in Industrial Innovation and the 2021 International Challenge on Ocean Targets Intelligent Perception [Ann]
Publications [Journal Article] [Conference Paper] [Others]
Journal Article
-
Robust contrastive knowledge distillation for long-tailed noisy class labels.
Shao-Yuan Li, Jinpeng Zheng, Mingguang Zhang, Dong Liang, Shaofang Li, Kangkan Wang
Knowledge Based Systems,2025, 329: 114408. [pdf] （中科院一区，JCR一区） -
Prototypes as Anchors: Tackling Unseen Noise for Online Continual Learning.
Shao-Yuan Li, Yu-Xiang Zheng, Sheng-Jun Huang, Songcan Chen, Kangkan Wang
Neural Networks (NN). 2025,190:107634. [pdf] [code]（中科院一区，JCR一区，CCF-B） -
Handling Noisy Annotation for Remote Sensing Semantic Segmentation via Boundary-Aware Knowledge Distillation.
Yue Sun, Dong Liang, Shao-Yuan Li, Songcan Chen, Sheng-Jun Huang.
IEEE Transactions on Geoscience and Remote Sensing (TGRS). 2025, 63:1-20. [pdf] （中科院一区，JCR一区，CCF-B） -
Continual Learning in the Presence of Repetition.
Hamed Hemati，Lorenzo Pellegrini，Xiaotian Duan， Zixuan Zhao，Fangfang Xia，Marc Masana, Benedikt Tscheschner, Eduardo Veas,YuXiang Zheng, ShiJi Zhao, Shao-Yuan Li, ShengJun Huang, Vincenzo Lomonaco， Gido M. van de Ven.
Neural Networks (NN). 2025 Mar:183:106920. [pdf] [code]（中科院一区，JCR一区，CCF-B,CVPR2024持续学习挑战赛获奖方案出版） -
Robust Domain Adaptation with Noisy and Shifted Label Distribution.
Shao-Yuan Li*, Shi-Ji Zhao, Zheng-Tao Cao, Sheng-Jun Huang, Songcan Chen.
Frontiers of Computer Science (FCS), 2025,19,193310. [pdf] [code]（CCF-B，中国科技期刊卓越行动计划“重点刊物”） -
KD-Crowd: A Knowledge Distillation Framework for Learning from Crowds.
Shao-Yuan Li*, Yu-Xiang Zheng, Ye Shi, Sheng-Jun Huang, Songcan Chen.
Frontiers of Computer Science (FCS), 2025,19，191302.[pdf] [code]（CCF-B，中国科技期刊卓越行动计划“重点刊物”） -
UNM: A Universal Approach for Noisy Multi-label Learning.
Jia-Yao Chen, Shao-Yuan Li*, Sheng-Jun Huang, Songcan Chen, Ming-Kun Xie.
IEEE Transactions on Knowledge and Data Engineering(TKDE), 2024,36:(9),4968-4980. [pdf] [code]（CCF-A，学生一作） -
Learning from Crowds with Sparse and Imbalanced Annotations.
Ye Shi, Shao-Yuan Li*, Sheng-Jun Huang.
Machine Learning (MLJ), 2023, 112: 1823-1845.[pdf] [code]（CCF-B，机器学习四大期刊，学生一作） - Improving Deep Label Noise Learning with Dual Active Label Correction.
Shao-Yuan Li*, Ye Shi, Sheng-Jun Huang and Songcan Chen
In: Machine Learning (MLJ), 2022, 111: 1103-1124. [pdf] [code]（CCF-B，机器学习四大期刊） - Deep Generative Crowdsourcing Learning with Worker Correlation Utilization.
Shao-Yuan Li *, Meng-Long Wei and Sheng-Jun Huang
In: Ruan Jian Xue Bao/Journal of Software (JOS), 2022, 33(4): 1274-1286.（CCF-A类中文） - Crowdsourcing Aggregation with Deep Bayesian
Learning .
Shao-Yuan Li *, Sheng-Jun Huang and Songcan Chen
In: Science China Information Science (SCIS), 64:3, 2021.[pdf] [code]（CCF-A ） - Incremental Multi-Label Learning with Active Queries.
Sheng-Jun Huang, Guo-Xiang Li, Wen-Yu Huang and Shao-Yuan Li
In: Journal of Computer Science and Technology (JCST), 35(2):234-246, 2020.（CCF-B，中国科技期刊卓越行动计划“重点刊物”）[pdf] - Multi-Label Crowdsourcing Learning..
Shao-Yuan Li and Yuan Jiang
In: Ruan Jian Xue Bao/Journal of Software (JOS),31(5):1497-1510, 2020.（CCF-A类中文） - Multi-Label Learning from Crowds.
Shao-Yuan Li , Yuan Jiang, Nitesh V. Chawla and Zhi-Hua Zhou
In: IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(7): 1369-1382, 2019.[pdf] [code] （CCF-A）
- HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition.
Jinpeng Zheng, Shao-Yuan Li*, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang
In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI'26), 2026，in press. [pdf] [code]（CCF-A，学生一作） - Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
.
Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen
In: Proceedings of the 42nd International Conference on Machine Learning (ICML'25 ), 2025. In press. [pdf] [code] （CCF-A，学生一作） - DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation
.
Shiji Zhao, Shao-Yuan Li*, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen.
In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25 ), 2025. In press. [pdf] [code] （CCF-A，学生一作） - MLC-NC: Long-tailed Multi-label Image Classification through the Lens of Neural Collapse.
Zijian Tao,Shao-Yuan Li*, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen
In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), 2025，39(19), 20850-20858. [pdf] [code]（CCF-A，学生一作） - Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
.
Wang Xinrui, Chuanxing Geng, Wenhai Wan, Shao-Yuan Li, Songcan Chen*
In: Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS'24), 2024. [pdf] [code]（CCF-A，学生一作） - NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with
Extremely Small Batch Sizes.
Shiji Zhao , Shao-Yuan Li*, Sheng-Jun Huang
In: Proceedings of the 33th International Joint Conference on Artificial Intelligence(IJCAI'24), 2024. [pdf] [code] （CCF-A，学生一作） - Unlocking the Power of Open Set: A New Perspective for Open-set Noisy Label Learning.
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li*, Sheng-Jun Huang, Songcan Chen
In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024. [pdf] [code]（CCF-A，学生一作） - Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.
Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shao-Yuan Li*, Songcan Chen*
In: Proceedings of the Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023.（Spotlight, top 3%） [pdf]（CCF-A，学生一作） -
Personalized Federated Semi-Supervised Learning with Black-Box Models.
Siyin Huang, Shao-Yuan Li, Songcan Chen
In: Proceedings of 2023 IEEE International Conference on Data Mining (ICDM'23), 2023. [pdf]（CCF-B，学生一作） - Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning.
Zhao-Yang Liu, Shao-Yuan Li, Songcan Chen, Yao Hu and Sheng-Jun Huang
In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), 2020.[pdf] （CCF-A，学生一作） - Multi-Label Crowdsourcing Learning with Incomplete Annotations.
Shao-Yuan Li and Yuan Jiang.
In: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence(PRICAI'18), 2018.
(CCF-C,唯一Best Paper Award)[pdf] [code] - Obtaining high-quality label by distinguishing between easy and hard items in
crowdsourcing.
Wei Wang, Xiang-Yu Guo, Shao-Yuan Li, Yuan Jiang and Zhi-Hua Zhou.
In: Proceedings of the 26th International Joint Conference on Artificial Intelligence(IJCAI'17), 2017. [pdf] （CCF-A）
- BayDNN: Friend
recommendation with Bayesian personalized ranking deep neural network.
Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, and Zhi-Hua Zhou.
In: Proceedings of the 26th ACM International Conference on Information and Knowledge Management(CIKM'17), 2017. [pdf] （CCF-B） - Partial Multi-View Clustering.
Shao-Yuan Li and Yuan Jiang and Zhi-Hua Zhou.
In: Proceedings of the 28th AAAI Conference on Artificial Intelligence(AAAI'14), 2014.[pdf] [code] （CCF-A）
- Multi-Label Active Learning from Crowds.
Shao-Yuan Li , Yuan Jiang and Zhi-Hua Zhou
In: arXiv preprint arXiv:1508.00722, 2015.[pdf]
Honors
- 2025年全球校园人工智能算法精英大赛-全球青年智能体应用场景创新创业挑战赛国赛一等奖（最高奖）、-AIC生成式人工智能创新赛国赛一等奖（最高奖、唯一）
- 2025年第十九届“挑战杯”人工智能＋挑战赛一等奖
- 2025年第七届中国研究生人工智能创新大赛（一级甲等）一等奖（最高奖）
- “中国移动杯”2025江苏生成式人工智能创新大赛总决赛AIGC创新创业赛道一等奖（最高奖，唯一）
- 2025年度第三届“启智杯”机器智能大赛二等奖
- 2025年第五届全国人工智能大赛“AI+数智人能力及客服应用”赛道获 一等奖（最高奖，唯一）
- 2024年“移动杯”首届江苏省数字人应用创新大赛创意赛道一等奖（最高奖，唯一）
- 2023年江苏省科学技术二等奖（排名第4）
- 2023年AI华人女性青年学者
- 2023年第十八届“挑战杯”专项赛全国特等奖
- CVPR2023持续学习竞赛第四名
- IJCAI-ECAI 2022第一届噪声标记学习挖掘挑战赛两个任务亚军季军
- 2021年工信部海洋目标智能感知国际挑战赛三等奖
- Grand Prize Winner of PAKDD 2012 Data Mining Competition Open Category, 2012
- SME Segment Winner of PAKDD 2012 Data Mining Competition Open Category, 2012
- Scholarship for Outstanding Ph.D. Students Plan A, 2016
- PRICAI 2018 Best Pper Award, 2018
Professional Service
- Program Committee: ICML, NeurIPS,ICLR, AAAI, IJCAI,KDD,ACMMM etc.
- Journal Reviwer: TPAMI, TKDE, TKDD, TNNLS etc.
Teaching
- Computer Graphics, Fall, 2025
- Pattern Recognition (for undergraduate students), Fall, 2020，2021，2022，2023，2024 ,2025.
- Pattern Recognition Experiments (for undergraduate students), Fall，2023，2024
- The C Programming Language (for international undergraduate students, in English), Fall, 2019
- Academic English (for undergraduate students), Fall, 2019,2020,2021