Preprints 2024 Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo, Kaizhu Huang, Xinping Yi, Zixian Su, and Rui Zhang 2024 PDF arXiv Website ES-GNN: Generalizing graph neural networks beyond homophily with edge splitting Jingwei Guo, Kaizhu Huang, Xinping Yi, and Rui Zhang Under revision, TPAMI, 2024 PDF Code arXiv Conferences and Journals 2024 AAAI Unraveling Batch Normalization for Realistic Test-Time Adaptation Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, and Kaizhu Huang In Proceedings of the AAAI Conference on Artificial Intelligence, Oral Presentation, 2024 PDF Code arXiv 2023 WWW Graph Neural Networks with Diverse Spectral Filtering Jingwei Guo, Kaizhu Huang, Xinping Yi, and Rui Zhang In Proceedings of the ACM Web Conference, 2023 PDF Code arXiv Website 2022 TNNLS Learning disentangled graph convolutional networks locally and globally Jingwei Guo, Kaizhu Huang, Xinping Yi, and Rui Zhang IEEE Transactions on Neural Networks and Learning Systems, 2022 PDF Code Website 2021 arXiv Lgd-gcn: Local and global disentangled graph convolutional networks Jingwei Guo, Kaizhu Huang, Xinping Yi, and Rui Zhang arXiv, 2021 PDF Code arXiv 2016 CISP-BMEI Adaptive active contour model based automatic tongue image segmentation Jingwei Guo, Yikang Yang, Qingwei Wu, Jionglong Su, and Fei Ma In 2016 9th International Congress on image and signal processing, BioMedical engineering and informatics, 2016 PDF Code Website
