Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection. - Jing Hu 003; Xiaolong Zhang 002 (BIBM, 2015)

Testing whether hot regions in protein-protein interactions are conserved in different species. - Jing Hu 003; Xiaolong Zhang 002 (BIBM, 2015)

Identification of Hot Regions in Protein Interfaces: Combining Density Clustering and Neighbor Residues Improves the Accuracy. - Jing Hu 003; Xiaolong Zhang 002 (ICIC (2), 2015)

Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification. - Jing Hu 003; Xiaolong Zhang 002; Xiaoming Liu 004; Jinshan Tang (Comput. Biol. Medicine, 2015)

Protein Hot Regions Feature Research Based on Evolutionary Conservation. - Jing Hu 003; Xiaoli Lin; Xiaolong Zhang 002 (ICIC (2), 2017)

Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. - Xiaoli Lin; Xiaolong Zhang 002; Jing Hu 003 (ICIC (2), 2017)

Analysis of hot regions prediction in PPI with different amino acid mutation using machine learning algorithm. - Jing Hu 003; Haomin Gan; Xiaolong Zhang 002; Nansheng Chen (BIBM, 2018)

Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree. - Haomin Gan; Jing Hu 003; Xiaolong Zhang 002; Qianqian Huang; Jiafu Zhao (ICIC (2), 2018)

Identification of protein hot regions by integrated machine learning algorithm. - Jing Hu 003; Haomin Gan; Xiaolong Zhang 002; Nansheng Chen (BIBM, 2019)

Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN. - Jing Hu 003; Longwei Zhou; Xiaolong Zhang 002; Nansheng Chen (ICIC (2), 2019)

Identification of protein hot regions by combining structure-based classification, energy-based clustering and sequence-based conservation in evolution. - Jing Hu 003; Haomin Gan; Nansheng Chen; Xiaolong Zhang 002 (Int. J. Data Min. Bioinform., 2020)

Prediction of hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy. - Jing Hu 003; Zonghao Li; Xiaolong Zhang 002; Nansheng Chen (BIBM, 2021)

Improve hot region prediction by analyzing different machine learning algorithms. - Jing Hu 003; Longwei Zhou; Bo Li 002; Xiaolong Zhang 002; Nansheng Chen (BMC Bioinform., 2021)

Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec. - Minghao Xia; Jing Hu 003; Xiaolong Zhang 002; Xiaoli Lin (ICIC (2), 2022)

Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution. - Hang Zhang; Jing Hu 003; Xiaolong Zhang 002 (ICIC (2), 2022)

Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity. - Xinyuan Zhang; Xiaoli Lin; Jing Hu 003; Wenquan Ding (ICIC (2), 2022)

Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. - Lizhi Wang; Xiaolong Zhang 002; Xiaoli Lin; Jing Hu 003 (ADMA (3), 2023)

DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. - Zhenhua Cai; Xiaoli Lin; Xiaolong Zhang 002; Jing Hu 003 (ICIC (3), 2023)

De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model. - Zonghao Li; Jing Hu 003; Xiaolong Zhang 002 (ICIC (3), 2023)

An Efficient Drug Design Method Based on Drug-Target Affinity. - Haoran Liu; Xiaolong Zhang 002; Xiaoli Lin; Jing Hu 003 (ICIC (3), 2023)

Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model. - Kang Wang; Jing Hu 003; Xiaolong Zhang 002 (ICIC (3), 2023)

Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network. - Xizi Wang; Jing Hu 003; Xiaolong Zhang 002 (ICIC (3), 2023)

Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion. - Shuo Hu; Jing Hu 003; Xiaolong Zhang 002 (ICIC (LNBI 2), 2024)

Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism. - Weiwenzheng Liu; Xiaolong Zhang 002; Xiaoli Lin; Jing Hu 003 (ICIC (LNBI 2), 2024)

Drug Molecule Generation Method Based on Fusion of Protein Sequence Features. - Mengyao Wang; Xiaolong Zhang 002; Haoran Liu; Xiaoli Lin; Jing Hu 003; Jun Pang 002 (ICIC (LNBI 2), 2024)

KGRLFF: Detecting Drug-Drug Interactions Based on Knowledge Graph Representation Learning and Feature Fusion. - Xiaoli Lin; Zhuang Yin; Xiaolong Zhang 002; Jing Hu 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering. - Bo Li 002; Yongkang Zhao; Jing Hu 003; Shihua Zhang; Xiaolong Zhang 002 (Briefings Bioinform., 2025)