Short Bio

I am currently an Algorithm Engineer at Alibaba Group. I obtained PhD in Computer Science from the University of Liverpool in 2024, under the supervision of Prof. Kaizhu Huang, Prof. Xinping Yi, and Prof. Rui Zhang. My research (a brief introduction) focuses on advancing Graph Neural Networks under heterogeneous environments, by identifying oversimplified graph assumptions and addressing them through modeling latent structural patterns grounded in reality. I also developed adaptation techniques to tackle Online Distribution Shifts, particularly over real-world small-batch, heterogeneous data streams.

Research Interest

• Graph Machine Learning
• Transfer Learning
• Medical Image Analysis

News

• [SEP. 2024] I join Alibaba Group as a Senior Algorithm Engineer, working on advertisement reranking system.
• [JUN. 2024] Successfully accomplished my PhD thesis defense!
• [SEP. 2024] Our paper "ES-GNN - Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting" is accepted by TPAMI2024 as regular paper.
• [DEC. 2023] Our paper "Unraveling Batch Normalization for Realistic Test-Time Adaptation" is accepted by AAAI2024 as Oral.

Publications [Google Scholar]

1. Arxiv

   Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering

   Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, and Rui Zhang

   PDF BibTex Under Review


2. Arxiv

   Un-mixing Test-time Adaptation under Heterogeneous Data Streams

   Zixian Su*, Jingwei Guo*, Xi Yang, Qiufeng Wang, Kaizhu Huang

   PDF BibTex Under Review


3. Arxiv

   Navigating Distribution Shifts in Medical Image Analysis - A Survey

   Zixian Su*, Jingwei Guo*, Xi Yang, Qiufeng Wang, Frans Coenen, Kaizhu Huang

   PDF BibTex Under Review


4. TPAMI2024

   ES-GNN - Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting

   Jingwei Guo, Kaizhu Huang, Rui Zhang, Xinping Yi

   IEEE Transactions on Pattern Analysis and Machine Intelligence

   PDF Code BibTex Published


5. AAAI2024

   Unraveling Batch Normalization for Realistic Test-Time Adaptation

   Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang

   Proceedings of the AAAI Conference on Artificial Intelligence

   PDF Code BibTex Published


6. WWW2023

   Graph Neural Networks with Diverse Spectral Filtering

   Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

   Proceedings of the ACM Web Conference

   PDF Code BibTex Published


7. TNNLS2022

   Learning Disentangled Graph Convolutional Networks Locally and Globally

   Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

   IEEE Transactions on Neural Networks and Learning Systems

   PDF Code BibTex Published


8. CISP-BMEI2016

   Adaptive Active Contour Model based Automatic Tongue Image Segmentation

   Jingwei Guo, Yikang Yang, Qingwei Wu, Jionglong Su, Fei Ma

   International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

   PDF BibTex Published