Publications

IN YEAR 2025

• ✨Yunke Zhang, Yuming Lin, Guanjie Zheng, Yu Liu, Nicholas Sukiennik, Fengli Xu, Yongjun Xu, Feng Lu, Qi Wang, Yuan Lai, Li Tian, Nan Li, Dongping Fang, Fei Wang*, Tao Zhou*, Yong Li*, Yu Zheng, Zhiqiang Wu, Huadong Guo. “MetaCity: Data-driven sustainable development of complex cities”，The Innovation, Accepted, 100775, Jan. 2025.
• ✨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.  
• ✨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.

IN YEAR 2024

• ✨Siheng Chen*, Yiyi Liao*, Fei Wang*, Gang Wang*, Liang Wang*, Yafei Wang*, Xichan Zhu*. “Toward the robustness of autonomous vehicles in the AI era”, The Innovation, Accepted, 100780, Dec. 2024.
• ✨Zezhi Shao, Tangwen Qian, Tao Sun, Fei Wang*, Yongjun Xu*. “Spatial-temporal large models: A super hub linking multiple scientific areas with artificial intelligence”, The Innovation, Accepted, 100763, Dec. 2024.
• ✨Yongjun Xu*, Fei Wang*, Tangtang Zhang*. “Artificial intelligence is restructuring a new world”, The Innovation, Vol.05, No.06, 100725, Nov. 2024.
• ✨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) 🔥 Google Citation > 50 🔥
• 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.
• 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.
• 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. 🔥🔥 Google Citation > 120 🔥🔥
• 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.
• 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.
• 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.
• 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.

IN YEAR 2023

• 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.
• 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. 🔥🔥Google Citation > 50 🔥🔥
• 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.
• 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.
• 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.
• 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.
• 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.

IN YEAR 2022

• 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. 🔥🔥🔥 Google Citation > 230 🔥🔥🔥
• 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. 🔥🔥🔥 Google Citation > 210 🔥🔥🔥
• 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)🔥🔥🔥 Google Citation > 220 🔥🔥🔥
• 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)
• 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.
• 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. 🔥🔥 Google Citation > 70 🔥🔥
• 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.
• 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.

IN YEAR 2021

• 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.🔥🔥🔥 Google Citation > 1100 🔥🔥🔥
• Tao Sun, Yongjun Xu, Fei Wang*, Lin Wu, Tangwen Qian, Zezhi Shao.”Trajectory-User Link with Attention Recurrent Networks”, 2020 25th International Conference on Pattern Recognition (ICPR), pp. 4589-4596, Milan, Italy, Jan.10-15, 2021.
• Hanlin Cao, Haina Tang*, Yulei Wu, Fei Wang, Yongjun Xu."On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution",2021 International Joint Conference on Neural Networks (IJCNN), pp.1-8, Shenzhen, China, Jul.18-22, 2021.

IN YEAR 2020

• 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.
• 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.
• 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.
• Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu. “Tulsn: siamese network for trajectory-user linking”, 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Glasgow, UK, Jul.19-24, 2020.