时空数据分析挖掘、时序数据预测、态势计算系统、AI for Science

本课题组每年招收约1个博士生（协助培养）和1-2个硕士生。

NOTE：NO FOREIGN STUDENTS ARE ACCEPTED！

本课题组从事时空数据挖掘、时序数据分析、智能态势分析系统，时空AI for Science等方面的理论技术前沿研究，课题组采用“研究组+工程组”交互增益创新模式，稳定资深的工团队负责系统研发和应用推广，为原创性理论和技术创新提供良好的孕育环境。相关论文发表在CCF A类、IEEE/ACM汇刊、The Innovation、CNS大子刊以上（In Progress）等高水平国际会议和期刊上，相关技术成果应用于多个领域的国家任务。

我想要共事的你是：

1.好奇并专注：保持并不断浇灌自己的好奇心，具有（或准备建立）基于兴趣的自我驱动科研模式；

2.严谨、务实、客观：能够准确、富有逻辑的描述自己在科研工作中的贡献（问题、思路、方法、效果、启示等）；慢就是快，能够放下（或缓和）着急出成果的焦急心态，沉浸到所从事的具体科研工作中，积少成多、厚积薄发；通过文献和代码客观总结和审视从事方向的发展历史、领域现状，并清晰的界定个人的创新性贡献；

3.富有探索精神：不破不立是本课题组一以贯之的精神与气质，我们不追求同质级别下的批量、重复创新，始终希望看到个人与团队持续迈台阶，从量变到质变；

4.充分培育个性：课题组具有良好的学习、工作、生活氛围，老师、师兄师姐都会充分尊重你的个性，根据特点订制培养方案，在充分融入的前提下、希望你给团队带来新的色彩！

081201-计算机系统结构
081203-计算机应用技术

2020-09~现在,  中国科学院计算技术研究所, 副研究员
2017-07~2020-09,中国科学院计算技术研究所, 助理研究员

代表性论著：

[1] Fei Wang*, Di Yao, Yong Li, Tao Sun, Zhao Zhang. “AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing”, The Innovation, Vol.04, No.02, 100405, Mar. 2023. 【综合类一区期刊，影响因子33.2】

[2] Zezhi Shao, Fei Wang*, Yongjun Xu*, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S Jensen, Xueqi Cheng*, “Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis”, IEEE Transactions on Knowledge and Data Engineering (TKDE), doi: 10.1109/TKDE.2024.3484454, Oct. 2024. (Regular Paper)【CCF-A类期刊，开源项目“BasicTS”积累Github超800 Stars】

[3] Chengqing Yu, Fei Wang*, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu. “Ginar: An end-to-end multivariate time series forecasting model suitable for variable missing”, ACM SIGKDD conference on knowledge discovery and data mining（KDD）, pp.3989-4000, Barcelona, Spain, Aug.25-29, 2024. 【CCF-A类会议，第二届城市科学大会最受欢迎墙报（Top 3）】

[4] Zezhi Shao, Zhao Zhang, Fei Wang*, Yonjun Xu. “Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting”, ACM SIGKDD conference on knowledge discovery and data mining（KDD）, pp.1567-1577, Washington DC, USA, Aug.14-18, 2022. 【CCF-A类会议， Google引用220次，入选PaperDigest KDD 2022最有影响力论文榜单】

[5] Zezhi Shao, Zhao Zhang, Fei Wang*, Wei Wei, and Yongjun Xu. “Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting”. ACM International Conference on Information & Knowledge Management (CIKM), pp.4454-4458, Atlanta, GA, USA, Oct.17-21, 2022. 【CCF-B类会议， Google引用200次，入选PaperDigest CIKM 2022最有影响力论文榜单（Top 1）】

[6] Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang*, Yongjun Xu, Xin Cao, and Christian S. Jensen. “Decoupled dynamic spatial-temporal graph neural network for traffic forecasting”, Proc. VLDB Endow. (VLDB), Vol.15, No.11, pp. 2733-2746, Jul. 2022. (Regular Paper) 【CCF-A类期刊, Google引用210次】

[7] Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang*. “AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction”, IEEE International Conference on Data Engineering (ICDE), pp. 5048-5060, Utrecht, Netherlands, May 13-17, 2024. 【CCF-A类会议】

[8] Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang*, Zhao Zhang, Feida Zhu. “Heterogeneous graph neural network with multi-view representation learning”, IEEE Transactions on Knowledge and Data Engineering (TKDE), pp. 11476-11488, Vol.35, No.11, Nov. 2022. (Regular Paper)【CCF-A类期刊】

[9] Tangwen Qian, Yongjun Xu, Zhao Zhang, and Fei Wang*. “Trajectory Prediction from Hierarchical Perspective”, ACM International Conference on Multimedia (MM), pp. 6822-6830, Lisboa, Portugal, Oct.10-14, 2022. 【CCF-A类会议】

[10] Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang*, Zhulin An*, Fei Wang, and Yongjun Xu. “Weighted Knowledge Graph Embedding”, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 867-877, Taipei, Taiwan, Jul.23-27, USA, 2023. 【CCF-A类会议】

[11] Weilun Feng, Chuanguang Yang*, Zhulin An*, Libo Huang, Boyu Diao, Fei Wang, and Yongjun Xu. “Relational Diffusion Distillation for Efficient Image Generation”, ACM International Conference on Multimedia (MM), pp.205-213, Melbourne, VIC, Australia, Oct.28-Nov.01, 2024. 【CCF-A类会议】

[12] Shuo Liang, Wei Wei*, Xian-Ling Mao, Fei Wang, Zhiyong He. “BiSyn-GAT+: Bi-syntax aware graph attention network for aspect-based sentiment analysis”, Findings of the Association for Computational Linguistics: ACL 2022 (ACL Findings), pp. 1835-1848, Dublin, Ireland, May 22-27, 2022. 【CCF-A类会议】

[13] Chengqing Yu, Fei Wang*, Zezhi Shao, Tao Sun, Lin Wu, and Yongjun Xu. “DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction”, ACM International Conference on Information and Knowledge Management (CIKM), pp.3062-3072, Birmingham, United Kingdom, Oct.21-25, 2023. 【CCF-B类会议，入选PaperDigest CIKM 2023最有影响力论文榜单】

[14] Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, and Yongjun Xu*. “Human Mobility Identification by Deep Behavior Relevant Location Representation”, In Database Systems for Advanced Applications (DASFAA), pp. 439–454, Berlin, Heidelberg, Apr.11-14, 2022. 【CCF-B类会议，最佳学生论文奖、第一指导老师】

[15] Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang*. “Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5245-5249, Seoul, Korea, Apr.14-19,2024. 【CCF-B类会议】

[16] Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, and Fei Wang*. “Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting”, ACM International Conference on Information and Knowledge Management (CIKM), pp.4340-4344, Birmingham, United Kingdom, Oct.21-25, 2023. 【CCF-B类会议】

[17] Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang*, Yutao Zeng, Xiaolong Jin, and Yongjun Xu. “Self-Improvement Programming for Temporal Knowledge Graph Question Answering”, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), pp.14579-14594, Torino, Italia, May 20-25, 2024. 【CCF-B类会议】

[18] Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang*. “Trajectory-User Linking via Multi-Scale Graph Attention Network”, Pattern Recognition, Vol.158, 110978, Feb. 2025.  【CCF-B类期刊】

[19] Qing Wang, Cong Dong, Shijie Jian, Dan Du, Zhigang Lu, Yinhao Qi, Dongxu Han, Xiaobo Ma, Fei Wang, Yuling Liu. “HANDOM: Heterogeneous attention network model for malicious domain detection”, Computers & Security, Vol.125, 103059, Feb. 2023. 【CCF-B类期刊】

[20] Chengqing Yu, Fei Wang*, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu*. “MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction”, Information Fusion, Vol. 113, 102607, Jan. 2025. 【SCI一区，影响因子14.7】

[21] Yongjun Xu, Xin Liu, Xin Cao, Changping Huang, Enke Liu, Sen Qian, Xingchen Liu, Yanjun Wu, Fengliang Dong, Cheng-Wei Qiu, Junjun Qiu, Keqin Hua, Wentao Su, Jian Wu, Huiyu Xu, Yong Han, Chenguang Fu, Zhigang Yin, Miao Liu, Ronald Roepman, Sabine Dietmann, Marko Virta, Fredrick Kengara, Ze Zhang, Lifu Zhang, Taolan Zhao, Ji Dai, Jialiang Yang, Liang Lan, Ming Luo, Zhaofeng Liu, Tao An, Bin Zhang, Xiao He, Shan Cong, Xiaohong Liu, Wei Zhang, James P Lewis, James M Tiedje, Qi Wang*, Zhulin An*, Fei Wang*, Libo Zhang*, Tao Huang*, Chuan Lu*, Zhipeng Cai*, Fang Wang*, Jiabao Zhang*. “Artificial intelligence: A powerful paradigm for scientific research”, The Innovation, Vol.02, No.04, 100179, Nov. 2021. 【The Innovation《创新》期刊最佳论文奖，综合类一区期刊，影响因子33.2, Google引用超过1000次】

[22] Tianjie Zhao, Sheng Wang, Chaojun Ouyang, Min Chen, Chenying Liu, Jin Zhang, Long Yu, Fei Wang, Yong Xie, Jun Li, Fang Wang, Sabine Grunwald, Bryan M Wong, Fan Zhang, Zhen Qian, Yongjun Xu, Chengqing Yu, Wei Han, Tao Sun, Zezhi Shao, Tangwen Qian, Zhao Chen, Jiangyuan Zeng, Huai Zhang, Husi Letu, Bing Zhang, Li Wang, Lei Luo, Chong Shi, Hongjun Su, Hongsheng Zhang, Shuai Yin, Ni Huang, Wei Zhao, Nan Li, Chaolei Zheng, Yang Zhou, Changping Huang, Defeng Feng, Qingsong Xu, Yan Wu, Danfeng Hong, Zhenyu Wang, Yinyi Lin, Tangtang Zhang, Prashant Kumar, Antonio Plaza, Jocelyn Chanussot, Jiabao Zhang, Jiancheng Shi, Lizhe Wang*. “Artificial intelligence for geoscience: Progress, challenges and perspectives”, The Innovation, Vol.05, No.05, 100691, Sep. 2024. 【共同一作（共10人），综合类一区期刊，影响因子33.2】

[23] Lin Wu*, Lizhe Wang, Nan Li, Tao Sun, Tangwen Qian, Yu Jiang, Fei Wang*, Yongjun Xu*. “Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion”, The Innovation, Vol.01, No.02, 100033, Aug. 2020. 【综合类一区期刊，影响因子33.2】

[24] Yongjun Xu*, Fei Wang*, Tangtang Zhang*. “Artificial intelligence is restructuring a new world”, The Innovation, Vol.05, No.06, 100725, Nov. 2024. 【编辑部邀稿Editorial文章，综合类一区期刊，影响因子33.2】

[25] Yongjun Xu, Fei Wang, Zhulin An, Qi Wang, Zhao Zhang*. “Artificial intelligence for science—bridging data to wisdom”, The Innovation, Vol.04, No.06, 100525, Nov. 2023. 【综合类一区期刊，影响因子33.2】

[26] Qi Wang*, Tingting Li, Yongjun Xu, Fei Wang, Boyu Diao, Lei Zheng, Jincai Huang. “How to prevent malicious use of intelligent unmanned swarms?”, The Innovation, Vol.04, No.02, 100396, Mar. 2023. 【综合类一区期刊，影响因子33.2】

[27] Yinhan Wang, Jiang Wang, Shaoming He*, Fei Wang, Qi Wang. “Swarm intention identification via dynamic distribution probability image”, Chinese Journal of Aeronautics, Vol.37, No. 10, pp.380-392, Oct. 2024. 【工程技术一区期刊，影响因子5.3】

[28] Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu. “Data Security and Privacy Challenges of Computing Offloading in FINs”, IEEE Network, Vol. 34, No. 2, pp.14-20, Apr.2020. 【计算机科学、硬件和体系结构一区期刊，影响因子6.8】

[29] Tangwen Qian, Fei Wang*, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu. “CABIN: a novel cooperative attention based location prediction network using internal-external trajectory dependencies”, International Conference on Artificial Neural Networks (ICANN), pp.521-532, Bratislava, Slovakia, Sept.15-18, 2020. 【CCF会议】

[30] Yubo Liang, Zezhi Shao, Fei Wang*, Zhao Zhang, Tao Sun, Yongjun Xu. “BasicTS: an open source fair multivariate time series prediction benchmark”, International Symposium on Benchmarking, Measuring and Optimization (Bench)，pp.87-101, Nov.07-09, 2022. 【国际测试基准与标准大会】

(1) 具有尺度适应性的多元时间序列深度预测技术与应用, 负责人, 国家自然科学基金面上项目, 2024-01--2028-12

(2) 车载自组织网络隐私安全保护, 负责人, 国家自然科学基金青年项目, 2020-01--2022-12

2024年 中国科学院计算所奖教金

2024年 《创新》（The Innovation）最佳论文奖（Best Paper Award）

2022年 中国科学院“青年创新促进会”会员

2022年 中国指挥与控制学会科学技术进步奖一等奖（第九完成人）

2021年 中国科学院计算所“新百星”

2020年 中国指挥与控制学会科学技术进步奖二等奖（第三完成人）

2016年 中国科学院计算所“优秀党员”

2024、2023、2018年 中国科学院计算所“优秀研究人员” 

2022、2020、2019年 中国科学院计算所专项党支部“优秀党员”

2013年 国家奖学金

孙涛，曙光博士奖

钱塘文，国家奖学金、所长优秀奖、北纬自主创业二等奖学金

邵泽志，国家奖学金、所长特别奖-夏培肃奖（每年仅2人）、院长优秀奖、虑得博士奖

王佳楷，华为硕士奖

余澄庆，国家奖学金

谷旭凯，易方达新生奖

陈茁，所长优秀奖

李雨杰，易方达新生奖，易方达硕士奖

孙涛，2016级直博，中国科学院计算所特助 

钱塘文，2017级硕博，中国科学院计算所特助 

邵泽志，2019级直博，中国科学院计算所特助 

王佳楷，2019级硕士，网易

梁宇博，2020级硕士，淘宝 

王元，2021级硕士，小红书