Wei Zhuo

Bio

I'm Wei Zhuo, a research fellow at Nanyang Technological University (NTU), working with Prof. Han Yu. I am also a member of Joint NTU-WeBank Research Centre on Fintech. I obtained my Ph.D. in Computer Science at Sun Yat-sen University (SYSU), supervised by Prof. Guang Tan. I was a research intern at the National University of Singapore (NUS), supervised by Prof. Bingsheng He. I also collaborated with Prof. Bryan Hooi and Prof. Zemin Liu. Before that, I was a visiting student at the University of Helsinki, where I was supervised by Prof. Jiaheng Lu.

My recent research interests focus on, but not limited to foundation models, federated learning, graph machine learning, and AI for science (GraphAI for drugs/molecules/math/healthcare/materials/social science).

Publications

Most recent publications on Google Scholar.
^☆ indicates equal contribution and ^# indicates corresponding author.

Commute Graph Neural Networks

Wei Zhuo, Han Yu, Guang Tan, Xiaoxiao Li

ICML 2025: International Conference on Machine Learning. 2025.

Paper Code

Partitioning Message Passing for Graph Fraud Detection

Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen

ICLR 2024: International Conference on Learning Representations. 2024.

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Efficient Graph Similarity Computation with Alignment Regularization

Wei Zhuo, Guang Tan

NeurIPS 2022: Advances in Neural Information Processing Systems. 2022.

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Proximity Enhanced Graph Neural Networks with Channel Contrast

Wei Zhuo, Guang Tan

IJCAI 2022: International Joint Conference on Artificial Intelligence. 2022.

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Graph Contrastive Learning with Adaptive Proximity-based Graph Augmentation

Wei Zhuo, Guang Tan

IEEE TNNLS: IEEE Transactions on Neural Networks and Learning Systems.

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DiffusionGAN: Network Embedding for Information Diffusion Prediction with Generative Adversarial Nets

Wei Zhuo, Qianyi Zhan, Yanan Zhao, Yuan Liu

ISPA: IEEE International Symposium on Parallel and Distributed Processing with Applications.

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Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections

Wei Zhuo, Zhaohuan Zhan, Ziduo Yang, Han Yu

Arxiv'25: arXiv preprint. 2025.

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Enhancing Vision and Language Navigation with Prompt-based Scene Knowledge

Zhaohuan Zhan, Jinghui Qin, Wei Zhuo, Guang Tan

IEEE TCSVT: IEEE Transactions on Circuits and Systems for Video Technology.

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Context Attention Heterogeneous Network Embedding

Wei Zhuo, Qianyi Zhan, Yuan Liu, Zhenping Xie, Jing Lu

Computational Intelligence and Neuroscience.

Paper Code

Opinion Mining in Online Social Media for Public Health Campaigns

Qianyi Zhan, Wei Zhuo, Wei Hu, Sherry Emery, Chongjun Wang, Yuan Liu, Xiaofeng Wang

Journal of Medical Imaging and Health Informatics.

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Viral Marketing for Public Health Campaigns in Social Networks

Xiaofeng Wang, Wei Zhuo, Qianyi Zhan, Yuan Liu

Journal of Medical Imaging and Health Informatics.

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Graph Neural Networks: Foundations, State-of-the-Art, Applications for Data Management Research

Wei Zhuo, Zhentong Yan, Guang Tan, Jiaheng Lu

Tutorial

Tutorial

Services

I have served as the Program Committee/Reviewer for the following conferences and journals.

Conferences
Journals

NeurIPS (2024, 2025)

ICLR (2025)

ICML (2025)

AISTATS (2025)

CIKM (2025)

Senior PC member (SPC)

KDD (2024, 2025)

IJCAI (2023, 2024, 2025)

FM-TheWebConf Workshop (2025)

TKDD: ACM Transactions on Knowledge Discovery from Data

JBHI: IEEE Journal of Biomedical and Health Informatics

TNNLS: IEEE Transactions on Neural Networks and Learning Systems

TCSVT: IEEE Transcations on Circuits and Systems for Video Technology

IEEE Access

Computers and Electrical Engineering

ESWA: Expert Systems With Applications

Neurocomputing

NN: Neural Networks

Useful Links

Deadlines: ccf-ddl; CCF list: ccf.atom.im