Publications 

2025

1. Mo Li, Zhaosong Zhao, Mingyang Ma, Linlin Ding, Taotao Cai. Personalized Short-term and Periodic Long-term Preferences Modeling with Contrastive Learning for Next POI Recommendation. Accepted in IEEE TCSS Journal, 2025.

2. Penghui Niu, Taotao Cai, Yajuan Zhang, Ping Zhang, Wenjia Xu, Junhua Gu, and Jungong Han. LG-Umer: UNet-like Network Integrate Local-Global Feature with Novel Attention for Road Extraction from Remote Sensing Images. Accepted in IEEE JSTARS 2025

3. Zihan Yang, Xiaohui Tao, Taotao Cai, Yifu Tang, Haoran Xie, Lin Li, Jianxin Li, Qing Li. A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions. Accepted in IJCAI 2025 Survey Track. (CORE2018 Rank - A*, CCF-A)

4. Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Lin Li, Qing Li, Jianming Yong, Exploring Causal Learning through Graph Neural Networks: An In-depth Review. Accepted in WIREs Data Mining and Knowledge Discovery, 2025.

5. Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Quan Z Sheng, Haoran Xie, Jianming Yong, Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance. Accepted in the WWW Journal, 2025.

6. Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Haoran Xie, Cai Xu, Jianming Yong, HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing. Accepted in Knowledge-Based Systems, 2025.

7. Kexin Zhang, Taotao Cai, Zhaoyu Liu, Shuang Teng, Yi Wang, Yu Chen, Ji Zhang. Efficient Influential Nodes Tracking via Link Prediction in Evolving Networks. Accepted in IEEE Internet of Things Journal, 2025.

8. Wencheng Yang, Song Wang, Di Wu, Taotao Cai, Yanming Zhu, Shicheng Wei, Yiying Zhang, Xu Yang, Yan Li. Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey. Accepted in Artificial Intelligence Review Journal, 2025.

9. Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu. AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions. Accepted in KBS Journal, 2025.

 2024

10. Simi Job, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Jianming Yong, Qing Li. Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning. Accepted in ACM TIST, 2024. 

11. Penghui Niu, Junhua Gu, Yajuan Zhang, Ping Zhang, Taotao Cai, Wenjia Xu, and Jungong Han. MDCGA-Net: Multi-Scale Direction Context-Aware Network with Global Attention for Building Extraction from Remote Sensing Images. Accepted in IEEE JSTARS 2024

12. Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, and Qing Li. FRAMU: Attention-based Machine: Unlearning using Federated Reinforcement Learning. Accepted in IEEE TKDE 2024. (ERA Rank – A*, CCF-A, JCR-Q1, IF=8.9)

13.  Shuang Wang, He Zhang, Quan Z Sheng, Xiaoping Li, Zhu Sun, Taotao Cai, Wei Emma Zhang, Jian Yang, Qing Gao. A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. Accepted in IEEE Transactions on Big Data 2024.

2023

14. Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, Adnan Mahamood. Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. Accepted in IEEE TKDE 2023. (ERA Rank – A*, CCF-A, JCR-Q1, IF=8.9)

15. Ningning Cui, Kang Qiao, Taotao Cai, Jianxin Li, Xiaochun Yang, Jie Cui, Hong Zhong. Towards Multi-User, Secure, and Verifiable kNN Query in Cloud Database. Accepted in IEEE TKDE, 2023. (ERA Rank – A*, CCF-A, JCR-Q1, IF=8.9)

16. Junhua Gu, Zhihao Jia, Taotao Cai. Xiangyu Song, Adnan Mahamood. Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction. Accepted in Sensor Journal, 2023.

17. Ang Li, Xiangyu Song, Shijie Sun, Zhaoyang Zhang, Taotao Cai, Huansheng Song. YOLO-SA: An Efficient Object Detection Model Based On Self-Attention Mechanism. Accepted in APWeb-WAIM Joint conference, 2023. (CORE Rank - B, CCF - C)

18. Huansheng Song, Ya Wen, Xiangyu Song, Shijie Sun, Taotao Cai, Jianxin Li. ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection. Accepted in APWeb-WAIM Joint conference, 2023. (CORE Rank - B, CCF - C)

2022

19. Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao. Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. Accepted in IEEE TKDE, 2022. (ERA Rank – A*, CCF-A, JCR-Q1, IF=8.9)

20. Nur Haldar, Jianxin Li, Mohammed Eunus Ali, Taotao Cai, Timos Sellis, Mark Reynolds: Top-k Socio-Spatial Co-engaged Location Selection for Social Users. Accepted in IEEE TKDE, 2022. (ERA Rank – A*, CCF-A, JCR-Q1, IF=8.9)

21. Xiangyu Song, Jianxin Li, Taotao Cai, Shuiqiao Yang, Tingting Yang, Chenfei Liu. A Survey on Deep Learning based Knowledge Tracing. Accepted in KBS Journal, 2022. (ERA Rank – B, JCR-Q1, IF=8.139)

22. Shuiqiao Yang, Borui Cai, Taotao Cai, Xiangyu Song, Jiaojiao Jiang, Bing Li, Jianxin Li. Robust Cross-Network Node Classification via Constrained Graph Mutual Information. Accepted in KBS Journal, 2022. (ERA Rank – B, JCR-Q1, IF=8.139)

23. Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li. Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, Proceedings. 

2020

24. Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu. Target-aware Holistic Influence Maximization in Spatial Social Networks. IEEE TKDE, 2020. (ERA Rank – A*, CCF-A, JCR-Q1, IF=8.9)

25. Jianxin Li, Taotao Cai, Xinjue Wang, Ke Deng, Timos Sellis, Jeffrey Xu Yu. Community-diversity Driven Influence Maximization on Social Networks. Information Systems, 2020. (ERA Rank – A*, JCR-Q1, IF=2.551, selected as one of the most influential papers of the past decade, to be featured in the journal’s 50th Anniversary Virtual Special Issue. [25 Aug 2025 updated].)

26. Taotao Cai, Jianxin Li, Nur Haldar, Ajmal Mian, John Yearwood, Timos Sellis. Anchored Vertex Exploration for Community Engagement in Social Networks. IEEE International Conference on Data Engineering (ICDE), 2020. (CORE2018 Rank - A*, CCF-A)

27. Hengda Zhang, Xiaofei Wang, Hao Fan, Taotao Cai, Jianxin Li, Xiuhua Li, Victor CM Leung. Anchor Vertex Selection for Enhanced Reliability of Traffic Offloading Service in Edge-Enabled Mobile P2P Social Networks. Journal of Communications and Information Networks, pp 217-224, 2020. (JCR-Q1, IF=3.24)

2019

28. Arun Chaitanya Mandalapu, Saranya Gunabalan, Avinash Sadineni, Taotao Cai, Nur Al Hasan Haldar, Jianxin Li. Correlate Influence News Article Events to Stock Quote Movement. The 15th International Conference on Advanced Data Mining and Applications (ADMA), 2019. (CORE Rank - B)

2018

29. Jianxin Li, Taotao Cai, Ajmal Mian, Ronghua Li, Timos Sellis, and Jeffrey Xu Yu. Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks. IEEE International Conference on Data Engineering (ICDE), pp.1340-1343, 2018. (CORE Rank - A*, CCF-A)

***********************************Results from my master’s research *************************************

2017

30. Rui Mao, Taotao Cai, Ronghua Li, Jeffrey Xu Yu, and Jianxin Li. Efficient Distance-based Representative Skyline Computation in 2D Space, World Wide Web Journal, 20(4): 621-638, 2017. (ERA Rank - A, JCR-Q2, IF=1.770) 

2015

31. Taotao Cai, Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Yadi Cai. Efficient Algorithm for Distance-based Representative Skyline Computation in 2D Space. APWeb-WAIM Joint conference, 2015. (CORE Rank - B)