个人简介：

华中师范大学计算机学院教授、博士生导师、国家青年人才、湖北省百人计划、武汉英才。长期从事人工智能系统、大数据分析及处理、图计算、联邦学习、数据库等方面的基础研究和系统开发工作，已发表80余篇CCF A类论文，其中第一/通讯作者40余篇，包括SIGMOD、VLDB、ICDE、KDD、ICML、NeurIPS、TKDE、VLDBJ、TDSC等本领域国际顶级期刊和学术会议论文，作为第一作者出版专著2部，申请发明专利20余项，担任KDD/WWW/AAAI等国际学术会议的Area Chair和SPC。获得CCF优博、ACM中国新星提名、ACM中国SIGMOD优博等荣誉奖励。主持国家重点研发计划课题、国家自科基金面上项目、湖北省重点研发、CCF-蚂蚁科研基金等项目。主导开发了多个开源人工智能系统，在腾讯、美团、阿里等头部企业中大规模应用；指导学生获得挑战杯“人工智能+”创意赛特等奖(2025)、中国研究生人工智能创新大赛一等奖 (2022）、全国大学生计算机系统能力大赛特等奖 (2023)、“花旗杯”金融创新应用大赛特等奖 (2024)等奖项。

研究方向：

人工智能系统、大数据处理与分析、图学习、联邦学习等。

科研项目：

1. 国家重点研发计划课题，覆盖多场景应用服务的可重构智能编程技术，2023-2026，主持

2. 国家自然科学基金面上项目，基于博弈论的纵向联邦成员贡献评估技术研究，2025-2028，主持

3. 湖北省重点研发专项，服务医联体的多方安全共享计算关键技术与平台，2023-2025，主持

4. 阿里云，面向公有云的大规模资源调度算法优化技术研究，2025-2026，主持

5. 华为，专项技术合作项目，2025-2026，主持

6. 美团，面向生成式推荐模型的高效训练和推理系统，2025-2026，主持

7. 中国地质调查局武汉地质调查中心，三峡库区典型滑坡监测数据挖掘算法，2025-2026，主持

8. CCF-蚂蚁科研基金，基于OceanBase的高效分布式向量搜索方法研究，2024-2025，主持

9. 蚂蚁金服科研基金，基于OceanBase的数据安全多方共享计算，2022-2023，主持

10. 财富趋势，股权关系金融图数据处理与挖掘，2023-2024，主持

近年部分发表论文：

1. Haoyu Zheng, Yongqiang Zhang, Fangcheng Fu, Xiaokai Zhou, Hao Luo, Hongchao Zhu, Yuanyuan Zhu, Hao Wang, Xiao Yan*, Jiawei Jiang*. Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions. ICML, 2026.

2. Hao Luo, Xiao Yan, Xinyan Li, Qiming Zeng, Yuhao Lin, Shanshan Feng, Hao Wang, Jiawei Jiang*. AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters. ACL, 2026.

3. Haowei Han, Kexin Hu, Weiwei Cai, Debiao Zhang, Bin Qin, Yuxiang Wang, Jiawei Jiang*, Xiao Yan*, Bo Du*. MiCU: End-to-End Smart Home Command Understanding with Large Language Model. KDD, 2026.

4. Yi Wei, Xiaokai Zhou, Shanshan Feng, Chuang Hu, Xiao Yan*, Jiawei Jiang*. LAUA: Handling Missing Modalities and Unpaired Data in Multimodal Federated Learning. KDD, 2026.

5. Yuhao Lin, Zhipeng Tang, Jiayan Tong, Junqing Xiao, Bin Lu, Yuhang Li, Chao Li, Zhiguo Zhang, Junhua Wang, Hao Luo, James Cheng, Chuang Hu, Jiawei Jiang*, Xiao Yan*. FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud. SIGMOD, 2026. (Industry Track)

6. Qiang Huang, Ke Liu, Liang Deng, Sijing Zhang, Chuang Hu, Tieyun Qian, Xiao Yan, Jiawei Jiang*. DM-RAG: Enhancing User Support in Dameng Databases with Retrieval-Augmented Generation. ICDE, 2026. (Industry Track)

7. Yong Zhou, Jiawei Jiang*, Bo Du, Hengyi Yang, Qianfan Hu. Domain-aware Behavior Cloning for Bridging the Sim-to-real Gap of Legged Robots. Science China Information Sciences, 2026.

8. Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang*. MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan. KDD, 2026.

9. Xiaokai Zhou, Xiao Yan, Xinyan Li, Yuxiang Wang, Quanqing Xu, Chuang Hu, Tieyun Qian, Jiawei Jiang*. HAL: Accurate, Private, and Efficient Sample Alignment for Multimodal Federated Learning. KDD, 2026.

10. 马旭阳, 周小凯, 郑浩宇, 崔斌, 徐泉清, 杨传辉, 晏潇, 江佳伟*. 基于无服务器计算的多方数据库安全计算系统. 软件学报, 2025.

11. Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Ziwen Fu, Tieyun Qian, Yuanyuan Zhu, Qinbo Zhang, Bin Cui, Jiawei Jiang*. PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning. VLDB, 2025.

12. Qingbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang*. Model Rake: A Defense Against Stealing Attacks in Split Learning. IJCAI, 2025.

13. Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang*. Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. IJCAI, 2025.

14. Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang*. Guiding LLM-based Smart Contract Generation with Finite State Machine. IJCAI, 2025.

15. Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang*. Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. ICDE, 2025.

16. Xin Wang, Jiawei Jiang*, Xiao Yan, Qiang Huang. TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network. WWW (Oral), 2025.

17. Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang*. HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. AAAI (Oral), 2025.

18. Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang*. Self-Supervised Learning for Graph Dataset Condensation. SIGKDD, 2024.

19. Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang*. Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. ICDE, 2024.

20. Qiang Huang, Xin Wang, Susie Xi Rao, Zhichao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang*. BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. ICDE, 2024.

21. Fangcheng Fu, Xuanyu Wang, Jiawei Jiang*, Huanran Xue, and Bui Cui. ProjPert: Projection-based Perturbation for Label Protection in Split Learning based Vertical Federated Learning. TKDE, 2024.

联系方式

jiawei.jiang@ccnu.edu.cn