Hengjie Yu, Yizhi Wang, Tao Cheng, Yan Yan, Kenneth A. Dawson, Sam F. Y. Li, Yefeng Zheng, Yaochu Jin. Empowering scientific discovery with explainable small domain-specific and large language models. 2025, Artificial Intelligence Review, Accepted.
Hengjie Yu, Kenneth A. Dawson, Haiyun Yang, Shuya Liu, Yan Yan, Yaochu Jin. A million-scale dataset and generalizable foundation model for nanomaterial-protein interactions. 2025, arXiv:2507.14245
Hengjie Yu, Yaochu Jin. Unlocking the Potential of AI Researchers in Scientific Discovery: What Is Missing? 2025, arXiv:2503.05822
Hengjie Yu, Shiyu Tang, Eslam M. Hamed, Sam F. Y. Li, Yaochu Jin, Fang Cheng. Optimizing benefit-risk trade-off in nano-agrochemicals through explainable machine learning: Beyond concentration. Environmental Science:Nano, 2024, 11, 3374-3389.
Maozhen Qu, Hengjie Yu, Yingchao He, Weidong Xu, Da Liu, Fang Cheng. Ce-UiO-66-F4-based composites decorated with green carbon dots for universal adsorption of organic pollutants containing hydrogen bond donors and its application exploration. Chemical Engineering Journal, 2024, 486, 150266,
Hengjie Yu, Shiyu Tang, Sam F. Y. Li, Fang Cheng. Averaging strategy for interpretable machine learning on small datasets to understand element uptake after seed nanotreatment. Environmental Science & Technology, 2023, 57(34): 12760-12770.
Hengjie Yu, Dan Luo, Sam F. Y. Li, Maozhen Qu, Da Liu, Yingchao He, Fang Cheng. Interpretable machine learning-accelerated seed treatment using nanomaterials for environmental stress alleviation. Nanoscale, 2023, 15(32), 13437-13449.
Hengjie Yu, Zhilin Zhao, Dan Luo, Fang Cheng*. Interpretable machine learning for investigating complex nanomaterial–plant–soil interactions. Environmental Science: Nano, 2022, 9(11), 4305-4316.
Maozhen Qu, Shijie Tian, Hengjie Yu, Da Liu, Chao Zhang, Yingchao He, Fang Cheng. Single-kernel classification of deoxynivalenol and zearalenone contaminated maize based on visible light imaging under ultraviolet light excitation combined with polarized light imaging. Food Control, 2023, 144, 109354.
Hengjie Yu, Zhilin Zhao, Da Liu, Fang Cheng. Integrating machine learning interpretation methods for investigating nanoparticle uptake during seed priming and its biological effects. Nanoscale, 2022, 14(41), 15305-15315.
Zhilin Zhao, Hengjie Yu and Fang Cheng. An analysis of factors affecting agricultural tractors’ reliability using random survival forests based on warranty data. IEEE Access, 2022, 10, 50183-50194.
Hengjie Yu, Zhilin Zhao, Fang Cheng. Predicting and investigating cytotoxicity of nanoparticles by translucent machine learning. Chemosphere, 2021, 276, 130164.
Limin Dai, Hengjie Yu, Jun Zhang, Fang Cheng. Preparation and characterization of cross-linked starch nanocrystals and self-reinforced starch-based nanocomposite films. International Journal of Biological Macromolecules, 2021, 181, 868-876.
Hengjie Yu, Dan Luo, Limin Dai, Fang Cheng. In silico nanosafety assessment tools and their ecosystem-level integration prospect. Nanoscale, 2021, 13(19), 8722-8739.
A Million-scale Dataset and Generalizable Foundation Model for Nanomaterial-Protein Interactions at ChinaNano 2025, Beijing International Convention Center, Beijing, China
Protein corona foundation model and its application in disease diagnosis at Academic exchange activity, Yuhang Campus, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
Protein Corona Dataset and Foundation Model—Explainability and Knowledge Consistency in AI4Science at AI·Proteomics·Medicine 2025 Spring Mini-Symposium, Yunqi Campus, Westlake University, Hangzhou, China