发表主要期刊文章：

[1] 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 2024, Accepted. (SCI, JCR Q1, 通讯作者，影响因子：14.6)

[2] Fei Wang*, Di Yao, Yong Li, Tao Sun, Zhao Zhang, AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing[J]. The Innovation, 2023, 4(2). （通讯作者，影响因子：33.1）

[3] Yongjun Xu, Fei Wang, Zhulin An, Qi Wang, Zhao Zhang, Artificial intelligence for science—bridging data to wisdom. The Innovation 2023, 4(6). （影响因子：33.1）

[4] 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, 2023, 4(2). （影响因子：33.1）

[5] Fei Wang*, Boyu Diao, Tao Sun, and Yongjun Xu,  Data Security and Privacy Challenges of Computing Offloading in FINs, in IEEE Network, Vol. 34, No. 2, pp.14-20, 2020. (SCI, JCR Q1,影响因子: 10.294)

[6] Fei Wang*, Yongjun Xu, Liehuang Zhu, Xiaojiang Du, and Mohsen Guizani,  LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for N -Times Computing Offloading in IoT, in IEEE Internet of Things Journal, Vol.6, No. 3, pp. 4462-4471, 2019. (SCI, JCR Q1,影响因子: 10.238)

[7] Fei Wang*, Yongjun Xu, Hanwen  Zhang, Yujun Zhang and Liehuang Zhu,  2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET, in IEEE Transactions on Vehicular Technology, Vol.65, No.2, pp. 896-911, 2016. (SCI, JCR Q1,影响因子: 6.239)

[8] Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang*, Zhao Zhang, Feida Zhu, Heterogeneous graph neural network with multi-view representation learning[J]. IEEE Transactions on Knowledge and Data Engineering（TKDE）, 2022.(通讯作者, SCI, CCF A, JCR Q1, 影响因子: 9.235)

[9] Tangwen Qian, Yuan Wang, Yongjun Xu, Zhao Zhang, Lin Wu, Qiang Qiu, Fei Wang*, A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction, Journal of Computer Science and Technology, 2022.(通讯作者，SCI，CCF B, 影响因子: 1.871)

[10] Meng Shen, Hao Lu, Fei Wang, Huisen Liu, Liehuang Zhu, Secure and Efficient Blockchain-assisted Authentication for Edge-Integrated Internet-of-Vehicles, in IEEE Transactions on Vehicular Technology, 2022. (SCI, JCR Q1，影响因子: 6.239)

[11] Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, and Fei Wang, A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification, Sensors 22, no. 3: 711. (SCI, JCR Q2,影响因子: 3.847)

[12] Peng Wang, Qinyou Hu, Yongjun Xu, Qiang Mei, Fei Wang, Evaluation methods of port dominance: A critical review, Ocean & Coastal Management, Volume 215, 2021, 105954. (SCI, JCR Q1，影响因子: 4.295)

[13] Yongjun Xu, Qi Wang , Zhulin An, Fei Wang et al. Artificial Intelligence: A Powerful Paradigm for Scientific Research[J]. The Innovation, 2021: 100179. (通讯作者，影响因子：33.1)

[14] 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, in The Innovation, Vol. 1, No.2, 2020 (通讯作者，PubMed收录，世界卫生组织疫情数据库WHO COVID收录，影响因子：33.1).

[15] Lin Wu, Yongjun Xu and Fei Wang, Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data, in ISPRS International Journal of Geo-Information, Vol.9, No.12, 756, 2020. (SCI, JCR Q2，影响因子: 3.099)

[16] Lin Wu, Yongjun Xu, Qi Wang, Fei Wang, Zhiwei Xu,  Mapping Global Shipping Density from AIS Data, inJournal of Navigation, Vol.70, No.1, pp.67-81, 2016. (SCI, JCR Q1，影响因子: 2.647)

[17] 曹翰林，唐海娜，王飞，徐勇军，轨迹表示学习技术研究进展，软件学报，2021. （中文核心期刊）

发表主要会议文章：

[1] Chengqing Yu, Fei Wang*, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei and Yongjun Xu. GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing，in ACM SIGKDD 2024. (通讯作者，CCF A)

[2] Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu. Relational Diffusion Distillation For Efficient Image Generation, in ACM MM 2024. (CCF A)

[3] Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang*. AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction, ICDE 2024. (通讯作者，CCF A)

[4]Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang*, Yutao Zeng, Xiaolong Jin and Yongjun Xu. Self-Improvement Programming for Temporal Knowledge Graph Question Answering, LREC-COLING 2024. (通讯作者，CCF B)

[5] Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang*, Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting, ICASSP 2024. (通讯作者，CCF B)

[6] Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun XuWeighted Knowledge Graph Embedding, SIGIR 2023. (CCF A)

[7] Chengqing Yu, Fei Wang*, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu, DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction, in CIKM 2023. (通讯作者，CCF B)

[8] Yuan Wang, Chenqing Yu, Zezhi Shao, Yongjun Xu, Tao Sun,Fei Wang*, Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting, in CIKM 2023. (通讯作者，CCF B)

[9] Zezhi shao, Zhao Zhang, Wei Wei, Fei Wang*, Yongjun Xu, Xin Cao, Christian S. Jensen, Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting, in VLDB 2022. (通讯作者，CCF A)

[10] Zezhi Shao，Zhao Zhang，Fei Wang*，Wei Wei, Yongjun Xu Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting, in CIKM 2022. (通讯作者，CCF B)

[11] Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang*, Trajectory Prediction from Hierarchical Perspective, in ACM MM 2022. (通讯作者，CCF A)

[12] Zezhi Shao，Zhao Zhang，Fei Wang*，Yongjun Xu, Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting, in ACM SIGKDD 2022. (通讯作者，CCF A)

[13] Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu. Human Mobility Identification by Deep Behavior Relevant Location Representation, in DASFAA 2022. (CCF B, 最佳学生论文奖)

[14] Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, Zhiyong He, BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis, in ACL Findings 2022. (CCF A)

[15] Yubo Liang, Zezhi Shao, Fei Wang*, Zhao Zhang, Tao Sun, Yongjun Xu, BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark, In Bench 2022.(通讯作者)

[16] Haitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lu, Fei Wang, Yuling Liu，CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network，Security and Privacy in Communication Networks. In SecureComm 2022. (CCF C)

[17] Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu, On Accurate Computation of Trajectory Similarity via Single Image Super-resolution, inIJCNN 2021, 2021. (CCF C)

[18] Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang,  A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking, in Fusion 2020, 2020. (数据融合领域顶会)

[19] Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun,  CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies, in ICANN 2020, 2020. (CCF C)

[20] Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao,  Trajectory-User Link with Attention Recurrent Networks, in ICPR 2020, 2020. (CCF C)

[21] Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun and Yongjun Xu,  TULSN: Siamese Network for Trajectory-user Linking, in IJCNN 2020, 2020. (CCF C)

专利：

[1] 王佳楷、王飞、徐勇军、吴琳, 一种用于目标跟踪的多假设树虚拟化管理方法，授权专利号：ZL 2020 1 1192104.9，授权公告日：2023年08月08日

[2] 宋仕肖、郑天垚、王飞，基于DSP加速计算板卡的无人平台目标检测识别方法与系统，授权专利号：ZL 2020 1 1191604.0，授权公告日：2023年08月01日

[3] 钱塘文、徐勇军、王飞、王佳楷、孙涛，一种用于训练轨迹预测模型的方法和轨迹预测方法，授权专利号：ZL 2020 1 0259417.5，授权公告日：2023年07月21日

[4] 孙涛、吴琳、徐勇军、王飞，一种基于嵌入-混合的轨迹数据增强及轨迹识别方法，授权专利号：ZL 2021 1 0168050.0，授权公告日：2023年04月18日

[5] 钱塘文、徐勇军、王飞、陈菲娅，一种大规模移动对象的轨迹快速预测方法、介质和设备，授权专利号：ZL 2020 1 0259417.5，授权公告日：2023年04月11日

[6] 余泳、唐海娜、王飞、徐勇军、吴琳、孙涛，基于孪生网络的时空数据的目标识别方法及系统，授权专利号：ZL 2019 1 1166620.1，授权公告日：2023年09月29日

[7]吴琳、徐勇军、陈昭、王飞，一种多目标跟踪的容量极限估计方法及系统，申请号：CN202410176786.6，申请日：2024年02月08日

[8] 余澄庆、王飞、徐勇军，一种适用于数据缺失场景的多元时间序列端到端预测技术，申请号：CN202311547462.0，申请日：2023年11月20日

[9] 王元、王飞、徐勇军、邵泽志, 一种基于存储体机制的大尺度多元时间序列深度预测方法及装置，申请号：CN202311156428.0，申请日：2023年09月08日

[10] 谷旭凯、孙涛、吴琳、王飞、徐勇军，一种基于去噪自编码器的机动目标跟踪技术，申请号：CN202310226232.8，申请日：2023年03月03日

[11] 徐勇军、邵泽志、王飞、张钊，基于预训练增强的多元时间序列预测技术及装置，申请号：CN202211144325.8，申请日：2022年10月20日

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

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

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”

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”