Publication

Journals

  • Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, and Irwin King. CenGCN: Centralized convolutional networks with vertex imbalance for scalefree graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. DOI: 10.1109/TKDE.2022.3149888

  • 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, 2020. DOI: 10.1109/TBDATA.2020.3034976

  • 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), Article No.: 4, 2020. DOI: 10.1145/3409736

  • Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, and Ivan Lee. Detecting outlier patterns with querybased artificially generated searching conditions. IEEE Transactions on Computational Social Systems (TCSS), 8(1):134-147, 2020.

  • 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), vol. 15, no. 4, pp. 1507-1520, 2018.

  • 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, vol. 6, pp. 42 131-42 141, 2018.

  • 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, vol. 12, pp. 558-567, September 2018.

  • Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, and Feng Xia, A survey of scholarly data visualization, IEEE Access, vol. 6, pp. 19 205-19 221, 2018.

  • Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer AL-Makhadmeh, and Feng Xia, Understanding the advisor-advisee relationship via scholarly data analysis, Scientometrics, vol. 116, no. 1, pp. 161-180, Jul 2018.


Conferences

  • Xin Chen, Mingling Hou, Tao Tang, Achhardeep Kaur and Feng Xia. Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. The 7th IEEE International Conference on Data Science and Systems (DSS), December 17–19, 2021, Haikou, China. (Best Paper Award)

  • Tao Tang, Jie Hou, Teng Guo, Xiaomei Bai, Xue Tian and Azadeh Noori Hoshvar. KIDNet: A Knowledge- Aware Neural Network Model for Academic Performance Prediction. IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT), December 14–17, 2021, Essendon, VIC, Australia.

  • Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, and Feng Xia. Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT), December 14–17, 2021, Essendon, VIC, Australia.

  • Teng Guo, Tao Tang, Dongyu Zhang, Jianxin Li, and Feng Xia. Web of students: Classlevel friendship network discovery from educational big data. The 22nd International Conference on Web Information Systems Engineering (WISE), October 26–29, 2021, Melbourne, Australia. (Invited Paper)