经历简介
复旦大学浩清特聘教授、博导、人工智能创新与产业研究院院长。美国麻省理工学院博士及博士后。曾任普渡大学计算机科学系终身教职、哥伦比亚大学、布朗大学、杜克大学、UCL、北京大学访问教授，阿里iDST（达摩院前身）联合创始人、蚂蚁集团首席AI科学家。
研究方向
生成式人工智能，深度学习，贝叶斯学习，人工智能在科学与工业中的应用
主要成果
曾领导构建了阿里巴巴第一个大规模分布式机器学习平台，获2015年阿里技术最高奖；主导构建了蚂蚁集团的超大规模图神经学习与隐私计算平台，图神经学习平台获得中国人工智能科技最高奖吴文俊科技一等奖。领导蚂蚁AI 团队用AI 技术及相关产品赋能多项金融业务，包括智能风控、智能理赔、资金优化与智能客服等。推动并领导了全国高校算力第一的复旦大学CFFF 智算平台的建设。作为评委会主席创办了首个国内综合性科学智能大赛“世界科学智能大赛”。
曾任JMLR 编辑，ICML、AISTATS 等领域主席。曾获美国科学基金NSF Career 奖、微软牛顿研究突破奖、威康信托基金会研究奖、2021年中国人工智能学会优秀科技工作者。其工作被经济学人、MIT 技术评论报道，被哈佛大学商学院收录为AI 创新落地案例。
招生专业
依托大数据学院招收博士研究生，招生专业为统计学、电子信息。依托计算与智能创新学院招收博士研究生，招生专业为人工智能、科学智能。
发表论文
在人工智能和计算生物学顶会和刊物上发表论文100余篇，近3年论文如下：
1. Zhang, Yu; Yao, Yichen; Tang, Yuanhao; Cheng, Yuan; Xu, Yinghui; He, Ying; Qi, Yuan; Jin, Li; A robust computational framework for methylation age and disease-risk prediction based on pairwise learning, Nature Computational Science, 2026, 6:388-403.
2. Sun, Xiuyu; Zhong, Xiaohui; Xu, Xiaoze; Huang, Yuanqing; Li, Hao; Neelin, J. David; Chen, Deliang; Feng, Jie; Han, Wei; Wu, Libo; Qi, Yuan; A data-to-forecast machine learning system for global weather, Nature Communications, 2025, 16(6658): 1-13.
3. Xu, Li-Cheng; Tang, Miao-Jiong; An, Junyi; Cao, Fenglei; Qi, Yuan; A unified pre-trained deep learning framework for cross-task reaction performance prediction and synthesis planning, Nature Machine Intelligence, 2025, 7(9): 1561-1571.
4. HongweiZhang; ZiqiYe; XinyuanWang; XinGuo; ZenglinXu; YuanCheng; ZixinHu; Yuan Qi; Efficient Network Automatic Relevance Determination, ICML, 2025.
5. Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi. 4D diffusion for dynamic protein structure prediction with reference and motion guidance. AAAI, 2025.
6. Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi. SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images. ICCV, 2025.
7. Junyi An, Chao Qu, Yun-Fei Shi, XinHao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi. Equivariant Masked Position Prediction for Efficient Molecular Representation. ICLR, 2025.
8. Hongwei Zhang, Saizhuo Wang, Zixin Hu, Yuan Qi, Zengfeng Huang, Jian Guo, I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification. Neural Networks, 2025,183,106929.
9. Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi. Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. KDD, 2025.
10. Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi & Xihe Qiu. Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. MICCAI, 2025.
11. Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi. Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. WWW, 2025
12. Lei Chen, Xiaohui Zhong, Hao Li, Jie Wu, Bo Lu, Deliang Chen, Shang-Ping Xie, Libo Wu, Qingchen Chao, Chensen Lin, Zixin Hu & Yuan Qi, A machine learning model that outperforms conventional global subseasonal forecast models. Nature Communications, (2024)15:6425.
13. Shuai Liu, Shuo Chen, Lanlan Xiao, Kaixuan Zhang, Yuan Qi, Hao Li, Yuan Cheng, Zixin Hu, Chensen Lin. Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device. Comput. Biol. Medicine 168: 107712, 2024.
14. Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Xu Yinghui, Yuan Qi, Furao Shen, Hybrid directional graph neural network for molecules, ICLR 2024, Vienna, Austria, 2024.
15. Xiaoyu Tan, Yong Lin, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi, Provably Invariant Learning without Domain Information, Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA, 2023.
16. Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi, PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching, EMNLP, Singapore, 2023.
17. Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi, Self- Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness, EMNLP, Singapore, 2023.
18. Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi, SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels, ACL 2023, Toronto, Canada, 2023.
19. Qiang Zhou, Zhibin Wang, Wei Chu, Yinghui Xu, Hao Li, Yuan Qi. InfMLLM: A Unified Framework for Visual-Language Tasks. CoRR abs/2311.06791, 2023.
20. Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, Hao Li, FuXi: a cascade machine learning forecasting system for 15-day global weather forecast, npj Climate and Atmospheric Science, 2023, 6(1): 1-11.
21. Yichi Zhang, Yuan Cheng, Yuan Qi. SemiSAM: Exploring SAM for Enhancing Semi-Supervised Medical Image Segmentation with Extremely Limited Annotations. CoRR abs/2312.06316, 2023.
22. Lei Chen, Xiaohui Zhong, Jie Wu, Deliang Chen, Shangping Xie, Qingchen Chao, Chensen Lin, Zixin Hu, Bo Lu, Hao Li, Yuan Qi. FuXi-S2S: An accurate machine learning model for global subseasonal forecasts. CoRR abs/2312.09926, 2023.
