软件工程
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张玉东
特任副研究员
张玉东，中国科学技术大学软件学院特任副研究员，硕士生导师。2020年于电子科技大学电子科学与工程学院获工学学士学位，2025年于中国科学技术大学人工智能与数据科学学院获工学博士学位。主要研究方向为数据挖掘、AI智能体与多模态大模型，并长期与京东物流、上海人工智能实验室等业界领先机构保持密切合作。近年来在人工智能领域发表高水平学术论文30余篇，其中以第一作者或通讯作者身份发表论文12篇。主持或参与多项重点科研项目，并担任IEEE TKDE、IEEE TMC、IEEE TITS、ICML、NeurIPS、ICLR等多个国际顶级期刊及会议的审稿人或程序委员会委员。曾获研究生国家奖学金、姑苏优秀学生一等奖学金、安徽省研究生“创新创业之星”等荣誉。
电子邮箱：yudong.zhang@ustc.edu.cn
个人主页：http://home.ustc.edu.cn/~zyd2020/
主要研究方向：
数据挖掘与信息检索（Data Mining & Information Retrieval）
智能体强化学习（Agentic Reinforcement Learning）
视觉语言大模型（Large Vision-Language Models）
自主科学发现（Autonomous Scientific Discovery）
学术论文及著作：
[1] [ICLR 2025] Yudong Zhang, Xuan Yu, Xu Wang*, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang*, COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation, The Thirteenth International Conference on Learning Representations. (机器学习领域顶级会议，清华大学计算机学科群A类会议)
[2] [AAAI 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang*, Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting, The 39th Annual AAAI Conference on Artificial Intelligence. (CCF-A类会议，口头报告 (Oral Presentation))
[3] [IJCAI 2025] Yudong Zhang, Zhaoyang Sun, Xu Wang*, Xuan Yu, Kai Wang, Yang Wang*, Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework, The 34th International Joint Conference on Artificial Intelligence. (CCF-A类会议)
[4] [ICDE 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang*, DiffODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis, The 41st IEEE International Conference on Data Engineering. (CCF-A类会议)
[5] [IEEE TMC] Yudong Zhang, Xu Wang*, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang*, Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning, IEEE Transactions on Mobile Computing, 2024, 23(12): 15289-15306. (CCF-A类期刊，中科院1区Top)
[6] [ICASSP 2025] Zhaoyang Sun, Yudong Zhang*, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang*, Xu Wang, Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention, The 50th IEEE International Conference on Acoustics, Speech, and Signal Processing. (CCF-B类会议，通讯作者)
[7] [WWW 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang*, FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning, The ACM Web Conference 2025 (short paper, formerly known as the International World Wide Web Conference).
[8] [WWW 2025] Yudong Zhang, Xu Wang*, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang*, Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture, The ACM Web Conference 2025 (short paper, formerly known as the International World Wide Web Conference).
[9] [IEEE TITS] Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai*, Yang Wang*, Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting, IEEE Transactions on Intelligent Transportation Systems, 2024, 25(10): 14070-14086. (CCF-B类期刊，中科院2区Top)
[10] [AEI] Yudong Zhang, Xu Wang*, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang*, Meta Koopman decomposition for time series forecasting under temporal distribution shifts, Advanced Engineering Informatics, 2024, 62: 102840. (CCF-B类期刊，中科院1区Top)
[11] [ICASSP 2023] Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang*, Yang Wang*, Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection, The 48th IEEE International Conference on Acoustics, Speech, and Signal Processing. (CCF-B类会议)
[12] [WSDM 2022] Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou*, Yang Wang*, CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction, The 15th ACM International Conference on Web Search and Data Mining. (CCF-B类会议，清华大学计算机学科群A类会议)
