📝 Publications

at UoM

  1. Yu, J., Li, W., Li, L., Kumar, D., Sun, H., Topping, D. O., Tang, G., and Zheng, Z.: Evaluating ERA5-Land air temperature and dew point biases in built-up environments in the UK, Urban Climate, 69, 103088, 2026.
    Collaborators: Pacific Northwest National Laboratory, Microsoft AI, and Wuhan University.
    🎧 Audio: 🇨🇳 中文   🇬🇧 English
  2. Yu, J., Oleson, K., Qin, Y., Zhao, L., Topping, D., and Zheng, Z.: Optimizing the Rainwater Harvesting and Roof Sprinkling System to Adapt to Urban Extreme Heat, Earth's Future, 14, e2026EF008878, 2026.
    Collaborators: NSF National Center for Atmospheric Research (NCAR), Peking University, and University of Illinois Urbana-Champaign.
    Media Highlights: The University of Manchester, The National, Euronews, The Economic Times, Water Magazine, Sustainable Futures at UoM, and Mirage News.
    🎧 Audio: 🇨🇳 中文   🇬🇧 English
  3. Yu, J., Zheng, Z., Ni, J., and Ji, J.: Empowerment of accurate modeling of anaerobic membrane bioreactors by automated machine learning, Journal of Environmental Management, 401, 128801, 2026.
    Collaborators: The University of Tokyo.
  4. Yu, J., Schreck, J. S., Gagne, D. J., Oleson, K. W., Li, J., Liang, Y., Liao, Q., Sun, M., Topping, D. O., and Zheng, Z.: Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control, ArXiv Preprint, 2025.
  5. Xia, J., Ling, F., Li, Z., Yu, J., Zhang, H., Topping, D. O., Bai, L., and Zheng, Z.: Learning Urban Climate Dynamics via Physics-Guided Urban Surface--Atmosphere Interactions, Proceedings of the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025, Main Conference), 2025.
  6. Yu, J., Zheng, Z., Lindley, S., Zhao, L., Wang, C., Wu, Q., Li, L., Topping, D., Schreck, J., Gagne, D., and Oleson, K.: Leveraging Automated Machine Learning (AutoML) for Urban Climate Emulation, Big Data and Earth System, 3, 100040, 2025.
    Collaborators: Google DeepMind, Pennsylvania State University, and Pacific Northwest National Laboratory, NSF National Center for Atmospheric Research (NCAR), University of Illinois Urbana-Champaign.
  7. Yu, J., Yuan, S., Lindley, S., Jay, C., Topping, D., Oleson, K., and Zheng, Z.: Integration and Execution of Community Land Model Urban (CLMU) in a Containerized Environment, Environ. Model. Softw., 188, 106391, 2025.
  8. Wang, K., Yu, J., Zhang, H., Li, Z., and Zheng, Z.: Leverage a Cloud-based Big Data Processing Platform for Climate Extremes Research, AGU Fall Meeting 2023 Abstract, 2023.

at RCEES

  1. Sun, H., Jiao, R., Yu, J., and Wang, D.: Combined effects of particle size and humic acid corona on the aggregation kinetics of nanoplastics in aquatic environments, Sci. Total Environ., 901, 165987, 2023.
  2. Yu, J., Xu, H., Yang, X., Sun, H., Jin, Z., and Wang, D.: Floc formation and growth during coagulation removing humic acid: Effect of stirring condition, Sep. Purif. Technol., 302, 122084, 2022.
  3. Yu, J., Xu, H., Wang, D., Sun, H., Jiao, R., Liu, Y., Jin, Z., and Zhang, S.: Variations in NOM During Floc Aging: Effect of Typical Al-based Coagulants and Different Particle Size, Water Res., 218, 118486, 2022.
  4. Yu, J., Jiao, R., Sun, H., Xu, H., He, Y., and Wang, D.: Removal of microorganic pollutants in aquatic environment: The utilization of Fe (VI), J. Environ. Manage., 316, 115328, 2022.
  5. Yu, J., Xu, H., Sun, H., Jin, Z., and Wang, D.: Mechanism on the effects of floc aging and pH adjustment on reflux feed water and coagulation, China Environmental Science, 42(10), 4612–4620, 2022. (in Chinese).
  6. Sun, H., Jiao, R., Yang, Q., Yu, J., and Wang, D.: Aggregation and settling characteristics of particulate matter and DOM in a southern China reservoir: Influence of hydraulic conditions and dosing methods, Process. Saf. Environ. Prot., 166, 500–511, 2022.
  7. Wang, Z., Xu, H., Yu, J., Zhao, C., and Wang, D.: Effects of nano- and micro-particles on coagulation process of aluminum-based coagulants and fouling of ultrafiltration membrane, China Environmental Science, 42(10), 4621–4630, 2022. (in Chinese).
  8. Li, M., Xu, H., Wang, D., Wang, X., and Yu, J.: Comparison of the effect of AlCl3 and Al13 on sludge conditioning in water supply plant, Chinese Journal of Environmental Engineering, 15(3), 1075-1082, 2021. (in Chinese).