Dr Taotao Cai

Dr Taotao Cai
NameDr Taotao Cai
Email Addresstaotao.cai@unisq.edu.au
Job TitleSenior Lecturer (Computing)
QualificationsBEng Jinggangshan, MCmpScTch Shenzhen, PhD Deakin
DepartmentSchool of Mathematics, Physics and Computing
ORCIDhttps://orcid.org/0000-0002-3624-6120
  • 1340
    total views of outputs
  • 517
    total downloads of outputs
  • 86
    views of outputs this month
  • 49
    downloads of outputs this month

Biography

Dr. Taotao Cai is a Senior Lecturer in Computing at the University of Southern Queensland (UniSQ). His primary focus is on research and teaching in Data Science, including graph data processing, social network analytics, recommendation systems, and complexity science. He completed his Ph.D. 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.

Before 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
Senior Lecturer University of Southern Queensland2024
Lecturer University of Southern Queensland20232024

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
Causality-Driven Approaches for Optimizing Graph Neural Networks in Classification TasksAssociate SupervisorDoctoral2023
Accurate and automated coronary artery plaque detection using computed tomography angiography imagesAssociate SupervisorDoctoral2023
Opinion mining and topic modelling for social media analysisAssociate SupervisorDoctoral2017
Project titleDetailsYear
Australia's Economic Accelerator (AEA) – Ignite Grant (IG240100414)Our team has secured a $429,720 Australia's Economic Accelerator (AEA) – Ignite Grant (IG240100414) from the Department of Education, Australia. The project, titled Intelligent Agent for Efficient and Effective Frequency Control Ancillary Services Targeting Renewable Energy Power Systems.2025
Item reviewedYear
33rd ACM International Conference on Information and Knowledge Management2024
IEEE Transactions on Knowledge and Data Engineering2023

A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities

Wang, Shuang, Zhang, He, Sheng, Quan Z., Li, Xiaoping, Sun, Zhu, Cai, Taotao, Zhang, Wei Emma, Yang, Jian and Gao, Qing. 2024. "A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities." IEEE Transactions on Big Data. https://doi.org/10.1109/TBDATA.2024.3423677

MDCGA-Net: Multi-Scale Direction Context-Aware Network with Global Attention for Building Extraction from Remote Sensing Images

Niu, Penghui, Gu, Junhua, Zhang, Yajuan, Zhang, Ping, Cai, Taotao, Xu, Wenjia and Han, Jungong. 2024. "MDCGA-Net: Multi-Scale Direction Context-Aware Network with Global Attention for Building Extraction from Remote Sensing Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, pp. 8461-8476. https://doi.org/10.1109/JSTARS.2024.3387969

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. 36 (10), pp. 5153-5167. https://doi.org/10.1109/TKDE.2024.3382726

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

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

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

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

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

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

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

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

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

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

Special issue on link prediction in complex networks

Sheng, Michael, Cai, Taotao and Mahmood, Adnan. 2024. "Special issue on link prediction in complex networks." Computing. 106 (7), pp. 2079-2079. https://doi.org/10.1007/s00607-024-01298-7

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning

Job, Simi, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Yong, Jianming and Li, Qing. 2024. "Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning ." ACM Transactions on Intelligent Systems and Technology. 15 (2), pp. 1-22. https://doi.org/10.1145/3643856

Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion

Zhang, Kexin, Zhao, Xuezhuan, Chen, Yu, Wu, Di, Cai, Taotao, Wang, Yi, Li, Lingling and Zhang, Ji. 2024. "Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion." International Journal of Electrochemical Science. 19 (5). https://doi.org/10.1016/j.ijoes.2024.100558

ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection

Song, Huansheng, Wen, Ya, Song, Xiangyu, Sun, ShiJie, Cai, Taotao and Li, Jianxin. 2024. "ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2421-5_19

YOLO-SA: An Efficient Object Detection Model Based on Self-attention Mechanism

Li, Ang, Song, Xiangyu, Sun, ShiJie, Zhang, Zhaoyang, Cai, Taotao and Song, Huansheng. 2024. "YOLO-SA: An Efficient Object Detection Model Based on Self-attention Mechanism." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore. Springer. https://doi.org/10.1007/978-981-97-2421-5_1

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