Dr Taotao Cai

Dr Taotao Cai
NameDr Taotao Cai
Email Addresstaotao.cai@unisq.edu.au
Job TitleLecturer (Computing)
QualificationsBEng Jinggangshan, MCmpScTch Shenzhen, PhD Deakin
DepartmentSchool of Mathematics, Physics and Computing
ORCIDhttps://orcid.org/0000-0002-3624-6120
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Biography

Dr. Taotao Cai is a Lecturer in Computing at the University of Southern Queensland (UniSQ). His primary focus is on research and teaching in the field of Data Science, including graph data processing, social network analytics, recommendation systems, and complexity science. He completed his Ph.D. degree from Deakin University in 2020 after spending two years at The University of Western Australia (Jan 2017 - Mar 2019) and over one year at Deakin University (Mar 2019 - July 2020) during his Ph.D. studies. In addition to his Ph.D., Dr. Cai also holds a Master's degree in Computer Science from Shenzhen University, which he earned in 2016.

Prior to joining the faculty at UniSQ, Taotao held positions as a Postdoctoral Research Fellow at Macquarie University (Mar 2021 - Jan 2023) and an Associate Research Fellow at Deakin University (July 2020 - Feb 2021). During this time, he made significant research contributions, which have been published in leading international conferences and journals such as IEEE ICDE, Information Systems, and IEEE TKDE.

In addition to his research, Dr. Cai has gained considerable teaching experience in both online and offline settings. He has served as a Course Examiner, Lecturer, and Guest Lecturer in various units and courses, and has received positive feedback from students for his engaging teaching style and ability to effectively convey complex concepts.

Employment

PositionOrganisationFromTo
Lecturer in ComputingUniversity of Southern Queensland2023

Expertise

Graph Query, Information Dissemination, Complexity Science

Teaching

CSC2220 - Artificial Intelligence (Curriculum Designing, Lecturer, and Unit Convenor)

CSC1410 - Software Engineering Foundations

CSC8710 - Software Design and Modelling

CSC6204 - Information Retrieval and Knowledge Management

CSC8720 - Programming Algorithms

CSC3420 - Mobile Internet Technology

Fields of Research

  • 460502. Data mining and knowledge discovery
  • 460505. Database systems
  • 460506. Graph, social and multimedia data
  • 461103. Deep learning
  • 461104. Neural networks
BEng
Jinggangshan
2013
MCmpScTch
Shenzhen
2016
PhD
Deakin
2020

Current Supervisions

Research TitleSupervisor TypeLevel of StudyCommenced
Investigating Causal Approaches for Graph Neural Networks ClassificationAssociate SupervisorDoctoral2023

Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction

Gu, Junhua, Jia, Zhihao, Cai, Taotao, Song, Xiangyu and Mahmood, Adnan. 2023. "Dynamic Correlation Adjacency Matrix Based Graph Neural Network for Traffic Flow Prediction." Sensors. 23 (6). https://doi.org/10.3390/s23062897

Community-diversity Driven Influence Maximization on Social Networks

Li, Jianxin, Cai, Taotao, Ke, Deng, Wang, Xinjue, Sellis, Timos and Xia, Feng. 2020. "Community-diversity Driven Influence Maximization on Social Networks." Information Systems. 92. https://doi.org/10.1016/j.is.2020.101522

Efficient Distance-based Representative Skyline Computation in 2D Space

Mao, Rui, Cai, Taotao, Li, Rong-Hua, Yu, Jeffery Xu and Li, Jianxin. 2017. "Efficient Distance-based Representative Skyline Computation in 2D Space." World Wide Web. 20 (4), pp. 621-638. https://doi.org/10.1007/s11280-016-0406-0

Efficient Algorithms for Distance-Based Representative Skyline Computation in 2D Space

Cai, Taotao, Li, Rong-Hua, Yu, Jeffrey Xu, Mao, Rui and Cai, Yadi. 2015. "Efficient Algorithms for Distance-Based Representative Skyline Computation in 2D Space ." 17th Asia-Pacific Web Conference (APWeb2015). Guangzhou, China 18 - 20 Sep 2015 Switzerland . Springer. https://doi.org/10.1007/978-3-319-25255-1_10

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks

Cai, Taotao, Lei, Qi, Sheng, Quan Z., Cui, Ningning, Yang, Shuiqiao, Yang, Jian, Zhang, Wei Emma and Mahmood, Adnan. 2024. "Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks." IEEE Transactions on Knowledge and Data Engineering. 36 (5), pp. 2151-2165. https://doi.org/10.1109/TKDE.2023.3316268

FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning

Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Zhu, Xiaofeng and Li, Qing. 2024. "FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning ." IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2024.3382726

Top-k socio-spatial co-engaged location selection for social users

Hasan Haldar, Nur Al, Li, Jianxin, Ali, Mohammed Eunus, Cai, Taotao, Chen, Yunliang, Sellis, Timos and Reynolds, Mark. 2023. "Top-k socio-spatial co-engaged location selection for social users." IEEE Transactions on Knowledge and Data Engineering. 35 (5), pp. 5325-5340. https://doi.org/10.1109/TKDE.2022.3151095

Towards Multi-User, Secure, and Verifiable kNN Query in Cloud Database

Cui, Ningning, Qian, Kang, Cai, Taotao, Li, Jianxin, Yang, Xiaochun, Cui, Jie and Zhong, Hong. 2023. "Towards Multi-User, Secure, and Verifiable kNN Query in Cloud Database." IEEE Transactions on Knowledge and Data Engineering. 35 (9), pp. 9333-9349. https://doi.org/10.1109/TKDE.2023.3237879

Incremental graph computation: Anchored Vertex Tracking in Dynamic Social Networks

Cai, Taotao, Yang, Shuiqiao, Li, Jianxin, Sheng, Quan Z., Yang, Jian, Wang, Xin, Zhang, Wei Emma and Gao, Longxiang. 2023. "Incremental graph computation: Anchored Vertex Tracking in Dynamic Social Networks." IEEE Transactions on Knowledge and Data Engineering. 35 (7), pp. 7030-7044. https://doi.org/10.1109/TKDE.2022.3199494

Robust cross-network node classification via constrained graph mutual information

Yang, Shuiqiao, Cai, Borui, Cai, Taotao, Song, Xiangyu, Jiang, Jiaojiao, Li, Bing and Li, Jianxin. 2022. "Robust cross-network node classification via constrained graph mutual information." Knowledge-Based Systems. 257. https://doi.org/10.1016/j.knosys.2022.109852

A survey on deep learning based knowledge tracing

Song, Xiangyu, Li, Jianxin, Cai, Taotao, Yang, Shuiqiao, Yang, Tingting and Liu, Chengfei. 2022. "A survey on deep learning based knowledge tracing." Knowledge-Based Systems. 258. https://doi.org/10.1016/j.knosys.2022.110036

Target-Aware Holistic Influence Maximization in Spatial Social Networks

Cai, Taotao, Li, Jianxin, Mian, Ajmal, Li, Rong-Hua, Sellis, Timos and Yu, Jeffrey Xu. 2022. "Target-Aware Holistic Influence Maximization in Spatial Social Networks ." IEEE Transactions on Knowledge and Data Engineering. 34 (4), pp. 1993-2007. https://doi.org/10.1109/TKDE.2020.3003047

Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks

Zhang, Hengda, Wang, Xiaofei, Fan, Hao, Cai, Taotao, Li, Jianxin, Li, Xiuhua and Leung, Victor C. M.. 2020. "Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks." Journal of Communications and Information Networks. 5 (2), pp. 217-224. https://doi.org/10.23919/JCIN.2020.9130437

Anchored Vertex Exploration for Community Engagement in Social Networks

Cai, Taotao, Li, Jianxin, Hasan Haldar, Nur Al, Mian, Ajmal, Yearwood, John and Sellis, Timos. 2020. "Anchored Vertex Exploration for Community Engagement in Social Networks ." 2020 IEEE 36th International Conference on Data Engineering (ICDE). Dallas, United States 20 - 24 Apr 2020 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICDE48307.2020.00042

Correlate Influential News Article Events to Stock Quote Movement

Mandalapu, Arun Chaitanya, Gunabalan, Saranya, Sadineni, Avinash, Cai, Taotao, Hasan, Nur Al Hasan and Li, Jianxin. 2019. "Correlate Influential News Article Events to Stock Quote Movement ." Li, Jianxin, Wang, Sen, Qin, Shaowen, Li, Xue and Wang, Shuliang (ed.) 15th International Conference on Advanced Data Mining and Applications. Dalian, China 21 - 23 Nov 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-35231-8_24

Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks

Li, Jianxin, Cai, Taotao, Mian, Ajmal, Li, Rong-Hua, Sellis, Timos and Yu, Jeffrey Xu. 2018. "Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks ." 2018 IEEE 34th International Conference on Data Engineering (ICDE). Paris, France 16 - 19 Apr 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICDE.2018.00145