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IEEE Transactions on Medical Imaging|January 22, 2026
Graph-Enhanced Visual Prompting for Pre-Trained Models Adaptation in Medical Imaging ClassificationYu Bai, Liang Bai, Xian Yang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 10, 2025
Local Alignment for Medical Vision-Language Pre-TrainingHuimin Yan, Xian Yang, Liang Bai, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 15, 2023
Improving Image Contrastive Clustering Through Self-Learning Pairwise ConstraintsYecheng Guo, Liang Bai, Xian Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 23, 2025
Multi-Channel Disentangled Graph Neural Networks With Different Types of Self-ConstraintsZhuomin Liang, Liang Bai, Xian Yang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 8, 2023
Exploring the role of edge distribution in graph convolutional networksLiancheng He, Liang Bai, Xian Yang, et al.
Briefings in Bioinformatics|July 29, 2026
scHashFormer: a hash-driven graph transformer for scalable scRNA-seq clusteringZhaobo Lu, Liang Bai, Ling Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 6, 2023
K-Relations-Based Consensus Clustering With Entropy-Norm RegularizersLiang Bai, Jiye Liang
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 5, 2022
Self-Constrained Spectral ClusteringLiang Bai, Jiye Liang, Yunxiao Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 14, 2020
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information SourcesLiang Bai, Jiye Liang, Fuyuan Cao
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 20, 2013
The impact of cluster representatives on the convergence of the k-modes type clusteringLiang Bai, Jiye Liang, Chuangyin Dang, et al.
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