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

Zilong Zhang

Associate Professor

Dr. Zilong Zhang is an Associate Professor of School of Computer Science and Technology, Hainan University. He received his 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. His research is in the areas of bioinformatics, machine learning and deep learning. Now his major interests include graph neural network, multi-omics data integration, drug development. Several related works have been published by Briefings in Bioinformatics, Bioinformatics, Computers in Biology and Medicine. He is also a reviewer for many impacted journals and NSFC(National Natural Science Foundation of China).

Activity :

•   Academic Committee Member of BIIP (Bioinformatics and Intelligent Information Processing Conference) 2022.

•   Academic Committee Member NCCBB (National Conference on Computational Biology and Bioinformatics) 2022.

•   Guest editor of Frontiers in Genetics (Special Issue) 2022.

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

•   Reviewer of PLoS Computational Biology、Briefings in Bioinformatics、Computers in Biology and Medicine、Frontiers of Computer Science、Briefings in Functional Genomics、Frontiers in Genetics、Frontiers in Molecular Biosciences, etc.

•   The Postdoctoral International Exchange Program 2020.

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


  • 1. 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.

  • 2. 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.

  • 3. 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.

  • 4. 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.

  • 5. 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.

  • 6. Lijun Dou,Zilong Zhang, Lei Xu, Quan Zou. iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss.Computational and Structural Biotechnology Journal. 2022, 20:3268-3279.

  • 7. 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.

  • 8. 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.

  • 9. 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.

  • 10. 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.

  • 11. 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.

  • 12. Wei Sun,Zilong Zhang, Xin liu, Shuang Zhang, Lu He, Zhe Wang, Guangshu Wang*. Terpene glycosides from the roots of Sanguisorba officinalis L. and their hemostatic activities.Molecules(Basel, Switzerland). 2012, 17(7): 7629-36.

  • 13. Zheng Chen, Zijie Shen,Zilong Zhang, Da Zhao, Lei Xu* and Lijun Zhang*. RNA-associated co-expression network identifies novel biomarkers for digestive system cancer.Frontiers in Genetics.2021, 12: 659788

  • 14. Shuang Zhang, Xin Liu,Zilong Zhang, Lu He, Zhe Wang, Guangshu Wang*. Isolation and identification of the phenolic compounds from the roots of Sanguisorba officinalis L. and their antioxidant activities.Molecules(Basel, Switzerland). 2012, 17(12): 13917-22.