B i o A I L a b
  • Hainan University, Haikou, Hainan Province, China

Feifei Cui

Associate Professor

Dr. Feifei Cui is an Associate Professor of School of Computer Science and Technology, Hainan University. She received her PH.D. from the University of Tokyo, Japan, in 2020, and worked at University of Electronic Science and Technology of China from 2020 to 2022. Her research is in the areas of bioinformatics, machine learning and AI. Now she is putting the focus on protein classification, multi-omics data analysis, biological drug. Several related works have been published by Briefings in Bioinformatics, Bioinformatics, Computational and Structural Biotechnology Journal. She is also a reviewer for many impacted journals and NSFC(National Natural Science Foundation of China).

Activity :

•   Bioinformatics and Intelligent Information Processing Conference 2022.

•   The 1st academic symposium of “Doctoral International Exchange Program” 2020.

•   Japanese learning in Preparatory School for Chinese Students to Japan, Northeast Normal University 2015-2016.

•   The12th China Conference on Machine Learning 2010.

•   Reviewer of Briefings in Bioinformatics, Computers in Biology and Medicine, Frontiers in Genetics, PLoS One, Journal of Electronic Science and Technology, etc.

•   The Postdoctoral International Exchange Program 2020.

•   Japanese Government (Monbukagakusho: MEXT) Scholarship Program 2016-2020.


  • 1. Feifei Cui#, Shuang Li#, Zilong Zhang, Miaomiao Sui, Chen Cao, Abd El-Latif Hesham, Quan Zou*. DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins. Computational and Structural Biotechnology Journal. 2022, 20: 2020-2028.

  • 2. Zhibin Lv#, Feifei Cui#, Quan Zou*, Lichao Zhang*, Lei Xu*. Anticancer peptides prediction with deep representation learning features. Briefings in Bioinformatics. 2021, 22(5): 1-14.

  • 3. Feifei Cui, Zilong Zhang, Chen Cao, Quan Zou, Dong Chen*, Xi Su*. Protein-DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data. Proteomics. 2022, 3: e2100197. Doi: 10.1002/pmic.202100197.

  • 4. Feifei Cui, Zilong Zhang, Quan Zou*. Sequence representation approaches for sequence-based protein prediction tasks that use deep learning. Briefings in Functional Genomics. 2021, 20(1): 61-73.

  • 5. Feifei Cui, Liang Cheng *, Quan Zou *. Briefings in functional genomics special section editorial: analysis of integrated multiple omics data. Briefings in Functional Genomics. 2021, 20(4): p. 196-197.

  • 6. Feifei Cui, Quan Zou*. Biocomputing and Synthetic Biology in Cells: Cells Special Issue. Cells. 2020, 9(11): 2459.

  • 7. Feifei Cui, Quan Zou*, Qin Ma, Leyi Wei, Jijun Tang and Dariusz Mrozek. IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access. 2021, 9: 33110-33119. (IF=3.367)

  • 8. Feifei Cui,Murong Zhou, Quan Zou*. Computational biology and chemistry Special section editorial: Computational analyses for miRNA. Computational Biology and Chemistry. 2021, 91:107448.

  • 9. Zilong Zhang,Feifei Cui,Wei Su,Lijun Dou,Anqi Xu,Chen Cao,Quan Zou*. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration.Bioinformatics. 2022. Doi: 10.1093/bioinformatics/btac350.

  • 10. Zilong Zhang, Feifei Cui, Chunyu Wang, Lingling Zhao*, Quan Zou*. Goals and approaches for each processing step for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(4): bbaa314.

  • 11. Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou*. Critical downstream analysis steps for single-cell RNA sequencing data. Briefings in Bioinformatics. 2021, 22(5): bbab105.

  • 12. Zilong Zhang, Feifei Cui, Song Wu*, Quan Zou*. Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections. Computers in Biology and Medicine. 2021, 140: 105092.

  • 13. Zilong Zhang, Feifei Cui, Murong Zhou, Song Wu*, Quan Zou*, Bo Gao*. Single-cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma. Current Gene Therapy. 2021, 21(4): 338-48.

  • 14. Chen Cao, Jianhau Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou*. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic acids research. 2022, 50(D1): D1123-D1130.

  • 15. Kunsen Lin, Youcai Zhao, Jia-Hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao, Xiaofeng Gao*, Tao Zhou*, Tao Wang*. Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches. Journal of Cleaner Production, 2022: p. 130943.