A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data. - Chun-Qiu Xia; Ke Han; Yong Qi; Yang Zhang 040; Dong-Jun Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data. - Chun-Qiu Xia; Xiaoyong Pan; Hong-Bin Shen (Bioinform., 2020)

CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networks. - Shi-Hao Feng; Chun-Qiu Xia; Hong-Bin Shen (Bioinform., 2022)

Fast protein structure comparison through effective representation learning with contrastive graph neural networks. - Chun-Qiu Xia; Shi-Hao Feng; Ying Xia; Xiaoyong Pan; Hong-Bin Shen (PLoS Comput. Biol., 2022)

Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks. - Shi-Hao Feng; Chun-Qiu Xia; Pei-Dong Zhang; Hong-Bin Shen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Leveraging scaffold information to predict protein-ligand binding affinity with an empirical graph neural network. - Chun-Qiu Xia; Shi-Hao Feng; Ying Xia; Xiaoyong Pan; Hong-Bin Shen (Briefings Bioinform., 2023)

High-accuracy protein model quality assessment using attention graph neural networks. - Pei-Dong Zhang; Chun-Qiu Xia; Hong-Bin Shen (Briefings Bioinform., 2023)

Few-shot classification with task-adaptive semantic feature learning. - Meihong Pan; Hongyi Xin; Chun-Qiu Xia; Hong-Bin Shen (Pattern Recognit., 2023)