Graph Cut-Guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering. - Wei He; Zhiyuan Huang; Xianghan Meng; Xianbiao Qi; Rong Xiao 003; Chun-Guang Li (ACCV (10), 2024)

SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction. - Junliang Shang; Linqian Zhao; Xin He; Xianghan Meng; Limin Zhang; Daohui Ge; Feng Li 033; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

PDA-PAGCN: Predicting Disease-Related PiRNA Based on Proxy Attention Graph Convolutional Network. - Xiaotong Kong; Xianghan Meng; Junliang Shang; Linqian Zhao; Yuanyuan Zhang; Jin-Xing Liu 001 (ICIC (26), 2025)

Exploring a Principled Framework for Deep Subspace Clustering. - Xianghan Meng; Zhiyuan Huang; Wei He; Xianbiao Qi; Rong Xiao 003; Chun-Guang Li (ICLR, 2025)

PDA-GTGCN: Identification of PiRNA-Disease Associations Based on Group Feature Transformation Graph Convolutional Network. - Xiaoqi Tang; Xianghan Meng; Junliang Shang; Baojuan Qin; Xin He; Yan Zhao; Daohui Ge; Feng Li 033; Jin-Xing Liu (ISBRA (1), 2025)

scCDAN: Constraint domain adaptation network for cell type annotation across single cell RNA sequencing data. - Junliang Shang; Yan Zhao; Baojuan Qin; Limin Zhang; Xianghan Meng; Daohui Ge; Jin-Xin Liu 001 (Neurocomputing, 2025)

Temporal Rate Reduction Clustering for Human Motion Segmentation. - Xianghan Meng; Zhengyu Tong; Zhiyuan Huang; Chun-Guang Li (CoRR, 2025)