Fei He

According to our database, Fei He authored at least 23 papers between 2013 and 2023.

Collaborative distances:

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

2023

Meta-learning for T cell receptor binding specificity and beyond.

Duolin Wang, Fei He, Yang Yu, Dong Xu

Nat. Mac. Intell., April, 2023

2022

Evaluating template-based and template-free protein-peptide complex structure prediction using AlphaFold2.

Negin Manshour, Yang Yu, Wenyuan Qin, Fei He, Duolin Wang, Dong Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Extraction of Gene Regulatory Relation Using BioBERT.

Clement Essien, Fei He, Mark Hannink, Mihail Popescu, Dong Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Comprehensive Assessment of OCR Tools for Gene Name Recognition in Biological Pathway Figures.

Stuart Aldrich, Micheal Olaolu Arowolo, Fei He, Mihail Popescu, Dong Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Quality Assessment of Protein Docking Models Based on Graph Neural Network.

Ye Han, Fei He, Yongbing Chen, Wenyuan Qin, Helong Yu, Dong Xu

Frontiers Bioinform., 2021

An Ensemble Deep Learning based Predictor for Simultaneously Identifying Protein Ubiquitylation and SUMOylation Sites.

Fei He, Jingyi Li, Rui Wang, Xiaowei Zhao, Ye Han

BMC Bioinform., 2021

A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data.

Jinchao Ji, Ruonan Li, Wei Pang, Fei He, Guozhong Feng, Xiaowei Zhao

IEEE Access, 2021

Discover the Binding Domain of Transmembrane Proteins Based on Structural Universality.

Yihang Bao, Fei He, Weixi Wang, Han Wang, Minglong Dong

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

2020

Clustering Mixed Numeric and Categorical Data With Cuckoo Search.

Jinchao Ji, Wei Pang, Zairong Li, Fei He, Guozhong Feng, Xiaowei Zhao

IEEE Access, 2020

2019

Clustering mixed numeric and categorical data with artificial bee colony strategy.

Jinchao Ji, Yongbing Chen, Guozhong Feng, Xiaowei Zhao, Fei He

J. Intell. Fuzzy Syst., 2019

Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning.

Fei He, Rui Wang, Yanxin Gao, Duolin Wang, Yang Yu, Dong Xu, Xiaowei Zhao

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

2018

基于模糊质心的混合属性数据模糊加权聚类算法 (Fuzzy Weighted Clustering Algorithm with Fuzzy Centroid for Mixed Data).

Jinchao Ji, Xiaowei Zhao, Fei He, Yinghui Hu, Tian Bai, Zairong Li

计算机科学, 2018

General and Species-Specific Lysine Acetylation Site Prediction Using a Bi-Modal Deep Architecture.

Xiaowei Zhao, Jiagen Li, Rui Wang, Fei He, Lin Yue, Minghao Yin

IEEE Access, 2018

2017

Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network.

Fei He, Ye Han, Han Wang, Jinchao Ji, Yuanning Liu, Zhiqiang Ma

J. Electronic Imaging, 2017

Utilizing Selected Di- and Trinucleotides of siRNA to Predict RNAi Activity.

Ye Han, Yuanning Liu, Hao Zhang, Fei He, Chonghe Shu, Liyan Dong

Comput. Math. Methods Medicine, 2017

A multimodal deep architecture for large-scale protein ubiquitylation site prediction.

Fei He, Lingling Bao, Rui Wang, Jiagen Li, Dong Xu, Xiaowei Zhao

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Effective small interfering RNA design based on convolutional neural network.

Ye Han, Fei He, Xian Tan, Helong Yu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015

Face-iris multimodal biometric scheme based on feature level fusion.

Guang Huo, Yuanning Liu, Xiaodong Zhu, Hongxing Dong, Fei He

J. Electronic Imaging, 2015

An Iris Recognition Method Based on Annule-energy Feature.

Guang Huo, Yuanning Liu, Xiaodong Zhu, Chun Huang, Fei He, Si Gao, Hongxing Dong, Lijiao Yu, Xia Yang

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014

Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric.

Fei He, Yuanning Liu, Xiaodong Zhu, Chun Huang, Ye Han, Ying Chen

J. Electronic Imaging, 2014

Multiple local feature representations and their fusion based on an SVR model for iris recognition using optimized Gabor filters.

Fei He, Yuanning Liu, Xiaodong Zhu, Chun Huang, Ye Han, Hongxing Dong

EURASIP J. Adv. Signal Process., 2014

An Effective Iris Recognition Method Based on Scale Invariant Feature Transformation.

Guang Huo, Yuanning Liu, Xiaodong Zhu, Hongye Wang, Lijiao Yu, Fei He, Si Gao, Hongxing Dong

Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2013

The Affection of Gabor Parameters to Iris Recognition and Their Optimization.

Fei He, Yuanning Liu, Xiaodong Zhu, Weijie Deng, Xiaoxu Zhang, Guang Huo

Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013