Publications

Journal Articles

1. Tao Tang, Guoqing Han, Renqiang Luo, Feng Ding, Shuo Yu, Ivan Lee. RMTrans: A Robust Multimodal Transformer Model for Healthcare Application. ACM Transactions on Intelligent Systems and Technology (TIST), 2026. DOI: 10.1145/3749989
   
   

2. Tao Tang, Mingliang Hou, Shuo Yu, Zhen Cai, Zhiwen Han, Giles Oatley, and Vidya Saikrishna. FedGST: An Efficient Federated Graph Neural Network for Spatio-temporal PoI Recommendation. ACM Transactions on Sensor Networks (TOSN), 2024. DOI: 10.1145/3694682
   
   

3. Tao Tang, Zhuoyang Han, Shuo Yu, Adil Bagirov, and Qiang Zhang. Fuzzy Multi-view Graph Learning on Electronic Health Records. IEEE Transactions on Fuzzy Systems (TFS), 32(10): 5520–5532, 2024. DOI: 10.1109/TFUZZ.2024.3415730
   
   

4. Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, and Sakal K. Das. Personalized Federated Graph Learning on Non-IID Electronic Health Records. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 35(9): 11843–11856, 2024. DOI: 10.1109/TNNLS.2024.3370297
   
   

5. Jing Ren, Tao Tang, Hong Jia, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia. Foundation Models for Anomaly Detection: Vision and Challenges. AI Magazine, 46: e70045, 2025. DOI: 10.1002/aaai.70045
   
   

6. Wenfeng Zhou, Guojiang Shen, Zhenzhen Zhao, Zhaolin Deng, Tao Tang, Xiangjie Kong, Amr Tolba, Osama Alfarraj. A transformer-based approach for traffic prediction with fusion spatiotemporal attention. Knowledge-Based Systems, 329(B): 114466, 2025. DOI: 10.1016/j.knosys.2025.114466
   
   

7. Tingting Wang, Tao Tang, Zhen Cai, Kai Fang, Jinyu Tian, Jianqing Li, Wei Wang, and Feng Xia. Federated learning-based information leakage risk detection for secure medical internet of things. ACM Transactions on Internet Technology (TOIT), 2024. DOI: 10.1145/3639466
   
   

8. Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, and Charu C. Aggarwal. Physics-Informed Explainable Continual Learning on Graphs. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 35(9): 11761–11772, 2024. DOI: 10.1109/TNNLS.2023.3347453
   
   

9. Shuo Yu, Yicong Li, Shuo Wang, Tao Tang*, Qiang Zhang, Jingjing Zhou, Ivan Lee, and Feng Xia. CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems. ACM Transactions on Information Systems (TOIS), 2025. DOI: 10.1145/3729224
   
   

10. Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, and Feng Xia. Marking the pace: A blockchain-enhanced privacy-traceable strategy for federated recommender systems. IEEE Internet of Things Journal (IoTJ), 11(6): 10384–10397, 2023. DOI: 10.1109/JIOT.2023.3329363
    
    

11. Mingliang Hou, Tao Tang, Feng Xia, Ibrahim Sultan, Roopdeep Kaur, and Xiangjie Kong. Missii: Missing information imputation for traffic data. IEEE Transactions on Emerging Topics in Computing (TETC), 2023. DOI: 10.1109/TETC.2023.3280481
    
    

12. Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, and Irwin King. CenGCN: Centralized convolutional networks with vertex imbalance for scale-free graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(5): 4555–4569, 2022. DOI: 10.1109/TKDE.2022.3149888
    
    

13. Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, and Irwin King. Attributed collaboration network embedding for academic relationship mining. ACM Transactions on the Web (TWEB), 15(1): 1–20, 2020. DOI: 10.1145/3409736
    
    

14. Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, and Huan Liu. Collaborative filtering with network representation learning for citation recommendation. IEEE Transactions on Big Data (TBD), 8(5): 1233–1246, 2020. DOI: 10.1109/TBDATA.2020.3034976
    
    

15. Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, and Ivan Lee. Detecting outlier patterns with query-based artificially generated searching conditions. IEEE Transactions on Computational Social Systems (TCSS), 8(1): 134–147, 2020. DOI: 10.1109/TCSS.2020.2977958
    
    

16. Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, and Feng Xia. A survey of scholarly data visualization. IEEE Access, 6: 19205–19221, 2018. DOI: 10.1109/ACCESS.2018.2815030
    
    

17. Tao Tang, Xin Dong, Jinzhong Wang, Xiangjie Kong, Azizur Rahim, Xuannian Yu, and Yulin Li. FISS: Function identification of subway stations based on semantics mining and functional clustering. IET Intelligent Transport Systems, 12(7): 558–567, 2018. DOI: 10.1049/iet-its.2017.0316
    
    

18. Xiangjie Kong, Menglin Li, Tao Tang, Kaiqi Tian, Luis Moreira-Matias, and Feng Xia. Shared subway shuttle bus route planning based on transport data analytics. IEEE Transactions on Automation Science and Engineering (TASE), 15(4): 1507–1520, 2018. DOI: 10.1109/TASE.2018.2865494
    
    

19. Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, and Feng Xia. Understanding the advisor-advisee relationship via scholarly data analysis. Scientometrics, 116: 161–180, 2018. DOI: 10.1007/s11192-018-2762-2
    
    

20. Tao Tang, Xiangjie Kong, Menglin Li, Jinzhong Wang, Guojiang Shen, and Xinshuang Wang. VISOS: A visual interactive system for spatial-temporal exploring station importance based on subway data. IEEE Access, 6: 42131–42141, 2018. DOI: 10.1109/ACCESS.2018.2858260
    
    

Conference Papers

1. Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee, Xiangjie Kong. Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation. In Proceedings of The ACM Web Conference 2026 (WWW ’26), Dubai, United Arab Emirates, April 13–17, 2026. DOI: 10.1145/3774904.3792533
   
   

2. Tao Tang, Mujie Liu, Botao Liu, Wei Du, Liping Chen, Xinrui Cheng, Jiaxin Du, Xiangjie Kong. FairFRL: Fairness-aware Federated Representation Learning for Cross-domain Sequential Recommendation. In Proceedings of The ACM Web Conference 2026 (WWW ’26), Dubai, United Arab Emirates, April 13–17, 2026. DOI: 10.1145/3774904.3793003
   
   

3. Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, and Feng Xia. FairGE: Fair Graph Encoding for Graph Transformers with Missing Sensitive Features. In Proceedings of The ACM Web Conference 2026 (WWW ’26), Dubai, United Arab Emirates, April 13–17, 2026. DOI: 10.1145/3774904.3792169
   
   

4. Shuo Yu, Zhuoyang Han, Guoqing Han, Tao Tang, Feng Ding, and Qiang Zhang. Missingness-aware Federated Contrastive Learning on Semantic Graphs. In Proceedings of The ACM Web Conference 2026 (WWW ’26), Dubai, United Arab Emirates, April 13–17, 2026. DOI: 10.1145/3774904.3792413
   
   

5. Liping Chen, Guangqing Bai, Zhuoyang Han, Jing Ren, Tao Tang*, Shuo Yu, Ivan Lee. Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs. Australasian Joint Conference on Artificial Intelligence (AJCAI 2025). DOI: 10.1007/978-981-95-4972-6_27
   
   

6. Weiyao Liu, Xiangjie Kong, Hang Lin, Tao Tang, Zhaolin Deng, Guojiang Shen. TRL-SN: Trajectory Representation Learning With Spatial Networks for Travel Mode Identification. IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2024). DOI: 10.1109/SWC62898.2024.00147
   
   

7. Tao Tang. Data-efficient Graph Learning Meets Ethical Challenges. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM 2023), pp. 1218–1219. DOI: 10.1145/3539597.3572988
   
   

8. Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, and Feng Xia. Digital Twin Mobility Profiling: A Spatio-temporal Graph Learning Approach. In The 7th IEEE International Conference on Data Science and Systems (DSS 2021). Best Paper Award. DOI: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00182
   
   

9. Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, and Feng Xia. Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2021), pp. 29–36. DOI: 10.1145/3498851.3498926
   
   

10. Tao Tang, Jie Hou, Teng Guo, Xiaomei Bai, Xue Tian, and Azadeh Noori Hoshyar. KidNet: A Knowledge-aware Neural Network Model for Academic Performance Prediction. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2021), pp. 37–44. DOI: 10.1145/3498851.3498927
    
    

11. Teng Guo, Tao Tang, Dongyu Zhang, Jianxin Li, and Feng Xia. Web of Students: Class-level Friendship Network Discovery from Educational Big Data. In International Conference on Web Information Systems Engineering (WISE 2021), pp. 497–511. DOI: 10.1007/978-3-030-90888-1_38