On Efficient Feature Ranking Methods for High-Throughput Data Analysis. - Bo Liao; Yan Jiang; Wei Liang 005; Lihong Peng; Li Peng; Damien Hanyurwimfura; Zejun Li; Min Chen 028 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Adaptive region adjustment to improve the balance of convergence and diversity in MOEA/D. - Peng Wang 035; Bo Liao; Wen Zhu; Lijun Cai; Siqi Ren; Min Chen 028; Zejun Li; Keqin Li 001 (Appl. Soft Comput., 2018)

Novel architecture for long short-term memory used in question classification. - Wei Xia; Wen Zhu; Bo Liao; Min Chen 028; Lijun Cai; Lei Huang 018 (Neurocomputing, 2018)

Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning. - Siqi Ren; Wen Zhu; Bo Liao; Zeng Li; Peng Wang 035; Keqin Li 001; Min Chen 028; Zejun Li (Knowl. Based Syst., 2019)

A Novel lncRNA-Disease Association Prediction Model Using Laplacian Regularized Least Squares and Space Projection-Federated Method. - Min Chen 028; Yan Peng; Ang Li; Yinwei Deng; Zejun Li (IEEE Access, 2020)

Two-Stage Inference for LncRNA-Disease Associations Based on Diverse Heterogeneous Information Sources. - Yi Zhang 044; Min Chen 028; Xiaolan Xie; Xianhao Shen; Yu Wang (IEEE Access, 2021)

Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning. - Lihong Peng; Liangliang Huang; Yuankang Lu; Guangyi Liu; Min Chen 028; Guosheng Han (BIBM, 2022)

A Clustering Method Unifying Cell-Type Recognition and Subtype Identification for Tumor Heterogeneity Analysis. - Xiong Li; Yangkai Lin; Chengwang Xie; Zejun Li; Min Chen 028; Peng Wang 035; Juan Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

LDA-VGHB: identifying potential lncRNA-disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine. - Lihong Peng; Liangliang Huang; Qiongli Su; Geng Tian; Min Chen 028; Guosheng Han (Briefings Bioinform., 2024)

MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism. - Lihong Peng; Xin Liu 116; Min Chen 028; Wen Liao; Jiale Mao; Liqian Zhou (J. Chem. Inf. Model., 2024)

Predicting cell-cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean. - Lihong Peng; Longlong Liu; Liangliang Huang; Zongzheng Bai; Min Chen 028; Xing Chen 001 (Appl. Soft Comput., 2025)

DTI-MvSCA: An Anti-Over-Smoothing Multi-View Framework With Negative Sample Selection for Predicting Drug-Target Interactions. - Lihong Peng; Zongzheng Bai; Longlong Liu; Long Yang; Xin Liu 116; Min Chen 028; Xing Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

BINDTI: A Bi-Directional Intention Network for Drug-Target Interaction Identification Based on Attention Mechanisms. - Lihong Peng; Xin Liu 116; Long Yang; Longlong Liu; Zongzheng Bai; Min Chen 028; Xu Lu 002; Libo Nie (IEEE J. Biomed. Health Informatics, 2025)

Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure. - Xun Peng; Chunping Ouyang; Yongbin Liu; Ying Yu; Jian K. Liu; Min Chen 028 (IEEE J. Biomed. Health Informatics, 2025)

Drug Repositioning via Multi-View Representation Learning With Heterogeneous Graph Neural Network. - Li Peng; Cheng Yang; Jiahuai Yang; Yuan Tu; Qingchun Yu; Zejun Li; Min Chen 028; Wei Liang 005 (IEEE J. Biomed. Health Informatics, 2025)