Welcome to Zuquan Weng Lab

We are interested in:

  • Machine learning in food and drug safety
  • Machine learning in healthcare domain
  • Biomedical material research
  • Virtual reality medical training kit development
  • Toxicological evaluation on food additives and contaminants
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Our lab is led by Zuquan Weng, a professor at College of Biological Science and Engineering and College of Mathematics and Computer Science, Fuzhou University. Prof. Weng's interest fields are toxicology, biomedicine and bioinformatics. Our lab focuses on interdisciplinary research in healthcare domain including chemical toxicological evaluation, biomedical data mining, biomedical material research and virtual reality-assisted medical training.

Recent publications

1) Baihua Wang, Qi Sun, Yujia Liu, Jiheng Zhang, Gaozheng Li, Sifang Wu, Houbing Zheng, Jialin Ye, Meihua Zhou, Haisu Zheng, Yongqiang Yu, Yi Zhong, Yuanzi Wu, Da Huang, Biao Wang, Zuquan Weng, Intelligent larval zebrafish phenotype recognition via attention mechanism for high-throughput screening,Computers in Biology and Medicine,Volume 188,2025,109892,ISSN 0010-4825 https://doi.org/10.1016/j.compbiomed.2025.109892

2) Zhong, Yi; Li, Gaozheng; Yang, Ji; Zheng, Houbing; Yu, Yongqiang; Zhang, Jiheng; Luo, Heng; Wang, Biao; Weng, Zuquan ; Learning motif-based graphs for drug-drug interaction prediction via local-global self-attention, NATURE MACHINE INTELLIGENCE, 2024, 6(9): 1094-1105 https://doi.org/10.1038/s42256-024-00888-6

3) Zhichao Yu; Zhenjin Xu; Ruijin Zeng; Man Xu; Minglang Zou; Da Huang; Zuquan Weng; Dianping Tang ; Tailored Metal–Organic Framework‐Based Nanozymes for Enhanced Enzyme‐Like Catalysis, Angewandte Chemie International Edition, 2024, e202420200: 1-11 https://doi.org/10.1002/anie.202420200

4) Zhichao Yu; Zhenjin Xu; Ruijin Zeng; Man Xu; Haisu Zheng; Da Huang; Zuquan Weng; Dianping Tang ; D‐Band Center Engineered Pt‐Based Nanozyme for Personalized Pharmacovigilance, Angewandte Chemie International Edition, 2024, e202414625: 1-11 https://doi.org/10.1002/anie.202414625

5) Zhong Y, Zheng H, Chen X, et al. DDI-GCN: Drug-drug interaction prediction via explainable graph convolutional networks[J]. Artificial Intelligence in Medicine, 2023: 102640. https://doi.org/10.1016/j.artmed.2023.102640

6) Zhong, Y., Wang, S., Li, G., Yang, J., Weng, Z., & Luo, H. (2023). Emerging Machine Learning Techniques in Predicting Adverse Drug Reactions. In Machine Learning and Deep Learning in Computational Toxicology (pp. 53-82). https://doi.org/10.1007/978-3-031-20730-3_3

7) Chen X, Xue Y, Wu X, et al. Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images[J]. Translational Vision Science & Technology, 2023, 12(1): 29-29. https://doi.org/10.1167/tvst.12.1.29

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