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Jing Feng
Publications
- 2023
- [j61]Peng Jiang, Xuekong Li, Hui Shen, Yuqi Chen, Lang Wang, Hua Chen, Jing Feng, Juan Liu:
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Artif. Intell. Rev. 56(S2): 2687-2758 (2023) - [j56]Hayat Ali Shah, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng:
DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties. J. Bioinform. Comput. Biol. 21(4): 2350017:1-2350017:20 (2023) - [c42]Qiang Zhang, Juan Liu, Feng Yang, Zhihui Yang, Jing Feng:
SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. BIBM 2023: 82-87 - [c40]Hua Chen, Juan Liu, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. BIBM 2023: 1842-1845 - [c35]Hayat Ali Shah, Juan Liu, Zhihui Yang, Jing Feng:
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. ICIC (3) 2023: 428-446 - 2022
- [j49]Hua Chen, Juan Liu, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism. BMC Bioinform. 23(1): 282 (2022) - [j48]Zhihui Yang, Juan Liu, Hayat Ali Shah, Jing Feng:
A novel hybrid framework for metabolic pathways prediction based on the graph attention network. BMC Bioinform. 23-S(5): 329 (2022) - [j47]Hayat Ali Shah, Juan Liu, Zhihui Yang, Xiaolei Zhang, Jing Feng:
DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. Comput. Biol. Medicine 147: 105756 (2022) - [j39]Jing Feng, Wenbo Chen, Xin Dong, Jun Wang, Xiangfei Mei, Jin Deng, Siqi Yang, Chenjian Zhuo, Xiaoyu Huang, Lin Shao, Rongyu Zhang, Jing Guo, Ronghui Ma, Juan Liu, Feng Li, Ying Wu, Leng Han, Chunjiang He:
CSCD2: an integrated interactional database of cancer-specific circular RNAs. Nucleic Acids Res. 50(D1): 1179-1183 (2022) - [c34]Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Jing Feng, Meng Wu:
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. BIBM 2022: 1616-1619 - [c33]Yuqi Chen, Juan Liu, Peng Jiang, Jing Feng, Dehua Cao, Baochuan Pang:
A Context-Guided Attention Method for Integrating Features of Histopathological Patches. BIBM 2022: 2281-2286 - [c32]Peng Jiang, Juan Liu, Lang Wang, Jing Feng, Dehua Cao, Baochuan Pang:
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. BIBM 2022: 2302-2307 - [i1]Peng Jiang, Juan Liu, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng:
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. CoRR abs/2209.13844 (2022) - 2021
- [j33]Hua Chen, Juan Liu, Qing-Man Wen, Zhiqun Zuo, Jiasheng Liu, Jing Feng, Bao-Chuan Pang, Di Xiao:
CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. J. Comput. Sci. Technol. 36(2): 347-360 (2021) - [c31]Hua Chen, Juan Liu, Chunbing Hua, Zhiqun Zuo, Jing Feng, Baochuan Pang, Di Xiao:
TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. BIBM 2021: 842-847 - 2020
- [c30]Zhihui Yang, Juan Liu, Zeyu Wang, Yufan Wang, Jing Feng:
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. BIBM 2020: 126-131 - [c26]Jian Zhang, Juan Liu, Pei-Fang Li, Jing Feng:
DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. ICIC (3) 2020: 280-290 - 2006
- [c1]Feng Liu, Juan Liu, Jing Feng, Huaibei Zhou:
Estimation Distribution of Algorithm for Fuzzy Clustering Gene Expression Data. ICNC (2) 2006: 328-335
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