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發(fā)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, 通訊作者，影響因子：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). （通訊作者，影響因子：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). （影響因子：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). （影響因子：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,影響因子: 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,影響因子: 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,影響因子: 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.(通訊作者, SCI, CCF A, JCR Q1, 影響因子: 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.(通訊作者，SCI，CCF?B,?影響因子: 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，影響因子: 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,影響因子: 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，影響因子: 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. (通訊作者，影響因子：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 (通訊作者，PubMed收錄，世界衛(wèi)生組織疫情數(shù)據(jù)庫WHO COVID收錄，影響因子：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，影響因子:?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，影響因子: 2.647)

[17] 曹翰林，唐海娜，王飛，徐勇軍，軌跡表示學(xué)習(xí)技術(shù)研究進(jìn)展，軟件學(xué)報(bào)，2021. （中文核心期刊）

發(fā)表主要會(huì)議文章：

[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. (通訊作者，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. (通訊作者，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. (通訊作者，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. (通訊作者，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. (通訊作者，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. (通訊作者，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.?(通訊作者，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. (通訊作者，CCF B)

[11] Tangwen?Qian, Yongjun Xu, Zhao Zhang, Fei Wang*, Trajectory Prediction from Hierarchical Perspective, in ACM?MM 2022. (通訊作者，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. (通訊作者，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, 最佳學(xué)生論文獎(jiǎng))

[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.(通訊作者)

[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. (數(shù)據(jù)融合領(lǐng)域頂會(huì))

[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)

專利：

[1] 王佳楷、王飛、徐勇軍、吳琳, 一種用于目標(biāo)跟蹤的多假設(shè)樹虛擬化管理方法，授權(quán)專利號(hào)：ZL 2020 1 1192104.9，授權(quán)公告日：2023年08月08日

[2] 宋仕肖、鄭天垚、王飛，基于DSP加速計(jì)算板卡的無人平臺(tái)目標(biāo)檢測(cè)識(shí)別方法與系統(tǒng)，授權(quán)專利號(hào)：ZL 2020 1 1191604.0，授權(quán)公告日：2023年08月01日

[3] 錢塘文、徐勇軍、王飛、王佳楷、孫濤，一種用于訓(xùn)練軌跡預(yù)測(cè)模型的方法和軌跡預(yù)測(cè)方法，授權(quán)專利號(hào)：ZL 2020 1 0259417.5，授權(quán)公告日：2023年07月21日

[4] 孫濤、吳琳、徐勇軍、王飛，一種基于嵌入-混合的軌跡數(shù)據(jù)增強(qiáng)及軌跡識(shí)別方法，授權(quán)專利號(hào)：ZL 2021 1 0168050.0，授權(quán)公告日：2023年04月18日

[5] 錢塘文、徐勇軍、王飛、陳菲婭，一種大規(guī)模移動(dòng)對(duì)象的軌跡快速預(yù)測(cè)方法、介質(zhì)和設(shè)備，授權(quán)專利號(hào)：ZL 2020 1 0259417.5，授權(quán)公告日：2023年04月11日

[6] 余泳、唐海娜、王飛、徐勇軍、吳琳、孫濤，基于孿生網(wǎng)絡(luò)的時(shí)空數(shù)據(jù)的目標(biāo)識(shí)別方法及系統(tǒng)，授權(quán)專利號(hào)：ZL 2019 1 1166620.1，授權(quán)公告日：2023年09月29日

[7]吳琳、徐勇軍、陳昭、王飛，一種多目標(biāo)跟蹤的容量極限估計(jì)方法及系統(tǒng)，申請(qǐng)?zhí)枺篊N202410176786.6，申請(qǐng)日：2024年02月08日

[8] 余澄慶、王飛、徐勇軍，一種適用于數(shù)據(jù)缺失場(chǎng)景的多元時(shí)間序列端到端預(yù)測(cè)技術(shù)，申請(qǐng)?zhí)枺篊N202311547462.0，申請(qǐng)日：2023年11月20日

[9] 王元、王飛、徐勇軍、邵澤志, 一種基于存儲(chǔ)體機(jī)制的大尺度多元時(shí)間序列深度預(yù)測(cè)方法及裝置，申請(qǐng)?zhí)枺篊N202311156428.0，申請(qǐng)日：2023年09月08日

[10] 谷旭凱、孫濤、吳琳、王飛、徐勇軍，一種基于去噪自編碼器的機(jī)動(dòng)目標(biāo)跟蹤技術(shù)，申請(qǐng)?zhí)枺篊N202310226232.8，申請(qǐng)日：2023年03月03日

[11] 徐勇軍、邵澤志、王飛、張釗，基于預(yù)訓(xùn)練增強(qiáng)的多元時(shí)間序列預(yù)測(cè)技術(shù)及裝置，申請(qǐng)?zhí)枺篊N202211144325.8，申請(qǐng)日：2022年10月20日

[1]國家自然科學(xué)基金面上項(xiàng)目：具有尺度適應(yīng)性的多元時(shí)間序列深度預(yù)測(cè)技術(shù)與應(yīng)用（2024-2028），項(xiàng)目負(fù)責(zé)人

[2]國家自然科學(xué)基金青年項(xiàng)目：車載自組織網(wǎng)絡(luò)隱私安全保護(hù)（2020-2022），項(xiàng)目負(fù)責(zé)人

2024年 《創(chuàng)新》（The Innovation）最佳論文獎(jiǎng)（Best Paper Award）

2022年 中國科學(xué)院“青年創(chuàng)新促進(jìn)會(huì)”會(huì)員

2022年 中國指揮與控制學(xué)會(huì)科學(xué)技術(shù)進(jìn)步獎(jiǎng)一等獎(jiǎng)（第九完成人）

2021年 中國科學(xué)院計(jì)算所“新百星”

2020年 中國指揮與控制學(xué)會(huì)科學(xué)技術(shù)進(jìn)步獎(jiǎng)二等獎(jiǎng)（第三完成人）

2016年 中國科學(xué)院計(jì)算所“優(yōu)秀黨員”

2023、2018年 中國科學(xué)院計(jì)算所“優(yōu)秀研究人員”?

2022、2020、2019年 中國科學(xué)院計(jì)算所專項(xiàng)黨支部“優(yōu)秀黨員”?