Jing Feng
Orcid: 0000-0002-3915-4926Affiliations:
- Wuhan University, School of Computer Science, Wuhan, China
According to our database1,
Jing Feng authored at least 28 papers
between 2006 and 2026.
Collaborative distances:
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Bibliography
2026
Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
TRGOA: Topological-Aware Residue-Gene Ontology Attention Network for Protein Function Prediction.
IEEE Trans. Comput. Biol. Bioinform., 2025
CrossStateECG: Multi-scale Deep Convolutional Network with Attention for Rest-Exercise ECG Biometrics.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025
CrossStateECG-Lite: Lightweight Adaptive Thresholding Network for Dual-State ECG Biometrics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Interpretable detector for cervical cytology using self-attention and cell origin group guidance.
Eng. Appl. Artif. Intell., 2024
2023
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis.
Artif. Intell. Rev., November, 2023
DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties.
J. Bioinform. Comput. Biol., August, 2023
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Nucleic Acids Res., 2022
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification.
CoRR, 2022
DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes.
Comput. Biol. Medicine, 2022
A novel hybrid framework for metabolic pathways prediction based on the graph attention network.
BMC Bioinform., 2022
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism.
BMC Bioinform., 2022
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Context-Guided Attention Method for Integrating Features of Histopathological Patches.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
J. Comput. Sci. Technol., 2021
TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Briefings Bioinform., 2019
2018
PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types.
Nucleic Acids Res., 2018
Briefings Bioinform., 2018
2017
Comprehensive characterization of tissue-specific circular RNAs in the human and mouse genomes.
Briefings Bioinform., 2017
2006
Proceedings of the Advances in Natural Computation, Second International Conference, 2006