Taotao Cai

Taotao Cai

Macquarie University

H-index: 8

Oceania-Australia

About Taotao Cai

Taotao Cai, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Macquarie University,

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Framu: Attention-based machine unlearning using federated reinforcement learning

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks

Exploring causal learning through graph neural networks: an in-depth review

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

Dynamic correlation adjacency-matrix-based graph neural networks for traffic flow prediction

Taotao Cai Information

University

Position

___

Citations(all)

534

Citations(since 2020)

528

Cited By

129

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Top articles of Taotao Cai

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

International Journal of Electrochemical Science

2024/5/1

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

2024/4/12

Framu: Attention-based machine unlearning using federated reinforcement learning

IEEE Transactions on Knowledge and Data Engineering

2024/4/2

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning

ACM Transactions on Intelligent Systems and Technology

2024/2/1

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks

arXiv preprint arXiv:2401.15444

2024/1/27

Exploring causal learning through graph neural networks: an in-depth review

2023/11/25

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

IEEE Transactions on Knowledge and Data Engineering

2023/9/18

Dynamic correlation adjacency-matrix-based graph neural networks for traffic flow prediction

Sensors

2023/3/7

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

IEEE Transactions on Knowledge and Data Engineering

2023/1/20

A survey on deep learning based knowledge tracing

Knowledge-Based Systems

2022/12/22

Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, Proceedings, Part I

2022/11/23

Robust cross-network node classification via constrained graph mutual information

Knowledge-Based Systems

2022/12/5

Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks

IEEE Transactions on Knowledge and Data Engineering

2022/8/17

A survey on location-driven influence maximization

2022/4/17

Top-k Socio-Spatial Co-engaged Location Selection for Social Users

IEEE Transactions on Knowledge and Data Engineering

2022/2/14

Community-diversified influence maximization in social networks

Information Systems

2020/9/1

Efficient Computation of Influential Users in Social Networks

2020/7/1

Taotao Cai
Taotao Cai

H-Index: 4

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

Journal of Communications and Information Networks

2020/6/30

Target-aware holistic influence maximization in spatial social networks

IEEE Transactions on Knowledge and Data Engineering

2020/6/17

Anchored vertex exploration for community engagement in social networks

2020/4/20

See List of Professors in Taotao Cai University(Macquarie University)

Co-Authors

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