Jiamou Liu

Jiamou Liu

University of Auckland

H-index: 18

Oceania-New Zealand

About Jiamou Liu

Jiamou Liu, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Social Networks, Artificial Intelligence, Machine Learning.

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

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables

Enhancing student performance prediction on learnersourced questions with sgnn-llm synergy

Signed Graph Representation Learning: A Survey

A Blockchain-based Privacy-Preserving Scheme for Sealed-bid Auction

Graph-Based Log Anomaly Detection via Adversarial Training

Differentially Private Diffusion Auction: The Single-unit Case

Incorporation of BIM-based probabilistic non-structural damage assessment into agent-based post-earthquake evacuation simulation

Jiamou Liu Information

University

Position

The

Citations(all)

1282

Citations(since 2020)

1058

Cited By

503

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

42

i10Index(since 2020)

32

Email

University Profile Page

University of Auckland

Google Scholar

View Google Scholar Profile

Jiamou Liu Skills & Research Interests

Social Networks

Artificial Intelligence

Machine Learning

Top articles of Jiamou Liu

Title

Journal

Author(s)

Publication Date

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models

Pattern Recognition Letters

Sijie Wang

Lin Ni

Zeyu Zhang

Xiaoxuan Li

Xianda Zheng

...

2024/5/1

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables

Proceedings of the AAAI Conference on Artificial Intelligence

Yang Chen

Xiao Lin

Bo Yan

Libo Zhang

Jiamou Liu

...

2024/3/24

Enhancing student performance prediction on learnersourced questions with sgnn-llm synergy

Proceedings of the AAAI Conference on Artificial Intelligence

Lin Ni

Sijie Wang

Zeyu Zhang

Xiaoxuan Li

Xianda Zheng

...

2024/3/24

Signed Graph Representation Learning: A Survey

arXiv preprint arXiv:2402.15980

Zeyu Zhang

Peiyao Zhao

Xin Li

Jiamou Liu

Xinrui Zhang

...

2024/2/25

A Blockchain-based Privacy-Preserving Scheme for Sealed-bid Auction

IEEE Transactions on Dependable and Secure Computing

Zijian Zhang

Xin Lu

Meng Li

Jincheng An

Yang Yu

...

2024/1/18

Graph-Based Log Anomaly Detection via Adversarial Training

Zhangyue He

Yanni Tang

Kaiqi Zhao

Jiamou Liu

Wu Chen

2023/11/27

Differentially Private Diffusion Auction: The Single-unit Case

arXiv preprint arXiv:2302.07072

Fengjuan Jia

Mengxiao Zhang

Jiamou Liu

Bakh Khoussainov

2023/2/14

Incorporation of BIM-based probabilistic non-structural damage assessment into agent-based post-earthquake evacuation simulation

Advanced Engineering Informatics

Sajjad Hassanpour

Vicente A Gonzalez

Yang Zou

Jiamou Liu

Feng Wang

...

2023/4/1

Graph-based Covert Transaction Detection and Protection in Blockchain

IEEE Transactions on Information Forensics and Security

Zhenyu Guo

Xin Li

Jiamou Liu

Zijian Zhang

Meng Li

...

2023/12/28

MaD: A Dataset for Interview-based BPM in Business Process Management

Xiaoxuan Li

Lin Ni

Renee Li

Jiamou Liu

Mengxiao Zhang

2023/6/18

Integrated Private Data Trading Systems for Data Marketplaces

arXiv preprint arXiv:2307.16317

Weidong Li

Mengxiao Zhang

Libo Zhang

Jiamou Liu

2023/7/30

CSG: Curriculum Representation Learning for Signed Graph

arXiv preprint arXiv:2310.11083

Zeyu Zhang

Jiamou Liu

Kaiqi Zhao

Yifei Wang

Pengqian Han

...

2023/10/17

A survey of data pricing for data marketplaces

IEEE Transactions on Big Data

Mengxiao Zhang

Fernando Beltrán

Jiamou Liu

2023/3/8

Differential privacy diffusion auction of homogeneous items

arXiv e-prints

Fengjuan Jia

Mengxiao Zhang

Jiamou Liu

Bakh Khoussainov

2023/2

STF: Spatial Temporal Fusion for Trajectory Prediction

Pengqian Han

Partha Roop

Jiamou Liu

Tianzhe Bao

Yifei Wang

2023/11/21

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks

arXiv preprint arXiv:2312.14333

Gaël Gendron

Yang Chen

Mitchell Rogers

Yiping Liu

Mihailo Azhar

...

2023/12/21

Contrastive learning with logic-driven data augmentation for logical reasoning over text

arXiv preprint arXiv:2305.12599

Qiming Bao

Alex Yuxuan Peng

Zhenyun Deng

Wanjun Zhong

Neset Tan

...

2023/5/21

Contrastive learning for signed bipartite graphs

Zeyu Zhang

Jiamou Liu

Kaiqi Zhao

Song Yang

Xianda Zheng

...

2023/7/19

Sga: A graph augmentation method for signed graph neural networks

arXiv preprint arXiv:2310.09705

Zeyu Zhang

Shuyan Wan

Sijie Wang

Xianda Zheng

Xinrui Zhang

...

2023/10/15

InFocus: Amplifying critical feature influence on non-intrusive load monitoring through self-attention mechanisms

IEEE Transactions on Smart Grid

Jialing He

Zijian Zhang

Liran Ma

Zhouyu Zhang

Meng Li

...

2023/1/13

See List of Professors in Jiamou Liu University(University of Auckland)

Co-Authors

H-index: 49
Keke Gai

Keke Gai

Beijing Institute of Technology

H-index: 49
liehuang zhu

liehuang zhu

Beijing Institute of Technology

H-index: 39
Vicente A. González

Vicente A. González

University of Auckland

H-index: 38
Michael Witbrock

Michael Witbrock

University of Auckland

H-index: 29
Bakh Khoussainov

Bakh Khoussainov

University of Auckland

H-index: 22
Zijian Zhang

Zijian Zhang

Beijing Institute of Technology

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