By Last Name
WANG FeiAssociate Professor
Research Areas:
Spatial-Temporal Data Mining;Information Fusion;Big Data
Department:
Domain-Oriented Intelligent System Research Center
Tutor Category:
Contact:
wangfei@ict.ac.cn
Personal Page:
Dr. Fei Wang received the B.S. degree from Beijing Institute of Technology in 2011, and the Ph. D. degree in University of Chinese Academy of Sciences, in 2017, respectively. During 2017 to 2020, he was an assistant research fellow of Institute of Computing Technology, Chinese Academy of Sciences. Currently, he is an associate research fellow of Institute of Computing Technology, Chinese Academy of Sciences. His research interests are in the areas of spatial-temporal data mining, information fusion and big data.
Dr. Wang has served as PC Member for several international workshops and conferences. Also he has served as reviewer of several international journals like Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation System and Expert Systems with Applications.
His papers have total citations more than 700 (Google Scholar).
The main publications are as follows:
Journal Papers
1. 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, 2021 IF: 10.294)
2. 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, 2021 IF: 10.238)
3. 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, 2021 IF: 6.239)
4. 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. https://doi.org/10.3390/s22030711 (SCI, JCR: Q2, 2021 IF: 3.847)
5. 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, https://doi.org/10.1016/j.ocecoaman.2021.105954. (SCI, JCR: 1区期刊, 2021 IF: 4.295)
6. Yongjun Xu, Qi Wang , Zhulin An, Fei Wang et al. Artificial Intelligence: A Powerful Paradigm for Scientific Research[J]. The Innovation, 2021: 100179. (Immediate Impact Factor≈30)
7. 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 (Indexed in PubMed and WHO COVID, Immediate Impact Factor≈30).
8. 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: Q2，2021 IF: 3.099)
9. Lin Wu, Yongjun Xu, Qi Wang, Fei Wang, Zhiwei Xu, Mapping Global Shipping Density from AIS Data, in Journal of Navigation, Vol.70, No.1, pp.67-81, 2016. (SCI, JCR: Q1，2021 IF: 2.647)
10. Hanlin Cao，Haina Tang，Fei Wang，Yongjun Xu，Survey on Trajectory Representation Learning Techniques[J]，Journal of Software，2021.（Chinese Core Journals）
Conference Papers
1. 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. (CCF A)
2. 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. (CCF B)
3. Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang*, Trajectory Prediction from Hierarchical Perspective, in ACM MM 2022. (CCF A)
4. 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. (CCF A)
5. Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu. Human Mobility Identification by Deep Behavior Relevant Location Representation, in DASFAA 2022. (CCF B, Best Student Paper Award)
6. 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)
7. Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu, On Accurate Computation of Trajectory Similarity via Single Image Super-resolution, in IJCNN 2021, 2021. (CCF C)
8. Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang, A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking, in Fusion 2020, 2020.
9. 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)
10. 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)
11. 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)
12. Lin Wu, Yongjun Xu, Fei Wang, Qiang Lu, Miao Hu, Real-time Ship Track Association: a Benchmark and a Network-Based Method, in Fusion 2019, 2019.