Jing Hu

According to our database, Jing Hu authored at least 27 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering.

Bo Li, Yongkang Zhao, Jing Hu, Shihua Zhang, Xiaolong Zhang

Briefings Bioinform., 2025

2024

KGRLFF: Detecting Drug-Drug Interactions Based on Knowledge Graph Representation Learning and Feature Fusion.

Xiaoli Lin, Zhuang Yin, Xiaolong Zhang, Jing Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Drug Molecule Generation Method Based on Fusion of Protein Sequence Features.

Mengyao Wang, Xiaolong Zhang, Haoran Liu, Xiaoli Lin, Jing Hu, Jun Pang

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism.

Weiwenzheng Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion.

Shuo Hu, Jing Hu, Xiaolong Zhang

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network.

Xizi Wang, Jing Hu, Xiaolong Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model.

Kang Wang, Jing Hu, Xiaolong Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An Efficient Drug Design Method Based on Drug-Target Affinity.

Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model.

Zonghao Li, Jing Hu, Xiaolong Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention.

Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism.

Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity.

Xinyuan Zhang, Xiaoli Lin, Jing Hu, Wenquan Ding

Proceedings of the Intelligent Computing Theories and Application, 2022

Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution.

Hang Zhang, Jing Hu, Xiaolong Zhang

Proceedings of the Intelligent Computing Theories and Application, 2022

Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec.

Minghao Xia, Jing Hu, Xiaolong Zhang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

Improve hot region prediction by analyzing different machine learning algorithms.

Jing Hu, Longwei Zhou, Bo Li, Xiaolong Zhang, Nansheng Chen

BMC Bioinform., 2021

Prediction of hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy.

Jing Hu, Zonghao Li, Xiaolong Zhang, Nansheng Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Identification of protein hot regions by combining structure-based classification, energy-based clustering and sequence-based conservation in evolution.

Jing Hu, Haomin Gan, Nansheng Chen, Xiaolong Zhang

Int. J. Data Min. Bioinform., 2020

2019

Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN.

Jing Hu, Longwei Zhou, Xiaolong Zhang, Nansheng Chen

Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of protein hot regions by integrated machine learning algorithm.

Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree.

Haomin Gan, Jing Hu, Xiaolong Zhang, Qianqian Huang, Jiafu Zhao

Proceedings of the Intelligent Computing Theories and Application, 2018

Analysis of hot regions prediction in PPI with different amino acid mutation using machine learning algorithm.

Jing Hu, Haomin Gan, Xiaolong Zhang, Nansheng Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions.

Xiaoli Lin, Xiaolong Zhang, Jing Hu

Proceedings of the Intelligent Computing Theories and Application, 2017

Protein Hot Regions Feature Research Based on Evolutionary Conservation.

Jing Hu, Xiaoli Lin, Xiaolong Zhang

Proceedings of the Intelligent Computing Theories and Application, 2017

2015

Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification.

Jing Hu, Xiaolong Zhang, Xiaoming Liu, Jinshan Tang

Comput. Biol. Medicine, 2015

Identification of Hot Regions in Protein Interfaces: Combining Density Clustering and Neighbor Residues Improves the Accuracy.

Jing Hu, Xiaolong Zhang

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Testing whether hot regions in protein-protein interactions are conserved in different species.

Jing Hu, Xiaolong Zhang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection.

Jing Hu, Xiaolong Zhang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015