Yong Cheng

Yong Cheng

Peking University

Yong Cheng (程 勇)



Ph.D.
Peking University
Advisors: Prof. Ling-Yan He & Prof. Xiao-Feng Huang
Email: yongcheng@pku.edu.cn


🧐 Research Experience

The current main theme of the research is based on environmental big data, integrating AI techniques with traditional mechanistic models to conduct an in-depth analysis of the causes and spatial-temporal sources of atmospheric pollution. This work aspires to offer not only a novel scientific perspective but also vital strategic support for global efforts to mitigate air pollution, ultimately contributing to the sustainable survival and well-being of humanity.


🎓 Education

Ph.D. (2019–2025) | Peking University, Beijing/Shenzhen, China
Major: Environmental Science (Atmospheric Environmental Science specialization)

B.S. (2015–2019) | Shanxi University, Taiyuan, China
Major: Physical Geography and Resource Environment


📝 Publications

《Journal of Geophysical Research: Atmospheres》
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  • Cheng Y., Huang X.F., Peng Y., Cao L.M., Peng X., Wu J., He L.Y. 2025. Enhancing time resolution of ambient VOC measurement data by machine learning: From one-hour to five minutes. Journal of Geophysical Research: Atmospheres, 130, e2024JD042477.[DOI] [Preview] (Nature Index)
《Science of The Total Environment》
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  • Cheng Y., Peng Y., Cao L.M., Huang X.F., He L.Y. 2024. Identifying the geospatial relationship of surface ozone pollution in China: Implications for key pollution control regions. Science of The Total Environment, 930: 172763.[DOI] [Preview]
《Environmental Pollution》
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  • Cheng Y., Huang X.F., Peng Y., Tang M.X., Zhu B., Xia S.Y., He L.Y. 2023. A novel machine learning method for evaluating the impact of emission sources on ozone formation. Environmental Pollution, 316: 120685.[DOI] [Preview]
《Journal of Environmental Management》
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  • Cheng Y., He L.Y., Huang X.F. 2021. Development of a high-performance machine learning model to predict ground ozone pollution in typical cities of China. Journal of Environmental Management, 299.[DOI] [Preview]
《Journal of Cleaner Production》
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  • Cheng Y., Zhu Q., Peng Y., Huang X.F., He L.Y. 2021. Multiple strategies for a novel hybrid forecasting algorithm of ozone based on data-driven models. Journal of Cleaner Production, 326.[DOI] [Preview]
《Atmospheric Environment》
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  • Cheng Y., Zhang H., Liu Z., Chen L., Wang P. 2019. Hybrid algorithm for short-term forecasting of PM2.5 in China. Atmospheric Environment, 200: 264-279.[DOI] [Preview]
  • Huang X.F., Cao L.M., Tian X.D., Zhu Q., Saikawa E., Lin L.L., Cheng Y., He L.Y., Hu M., Zhang Y.H., Lu K.D., Liu Y.H., Daellenbach K., Slowik J.G., Tang Q., Zou Q.L., Sun X., Xu B.Y., Jiang L., Shen Y.M., Ng N.L., Prévôt A.S.H. 2021. Critical Role of Simultaneous Reduction of Atmospheric Odd Oxygen for Winter Haze Mitigation. Environmental Science and Technology, 55: 11557-11567.
  • Huang X.F., Peng Y., Wei J., Peng J., Lin X.Y., Tang M.X., Cheng Y., Men Z., Fang T., Zhang J., He L.Y., Cao L.M., Liu C., Zhang C., Mao H., Seinfeld J.H., Wang Y. 2024. Microphysical complexity of black carbon particles restricts their warming potential. One Earth, 7: 136-145.
  • Peng X., Xie T.T., Tang M.X., Cheng Y., Peng Y., Wei F.H., Cao L.M., Yu K., Du K., He L.Y., Huang X.F. 2023a. Critical Role of Secondary Organic Aerosol in Urban Atmospheric Visibility Improvement Identified by Machine Learning. Environmental Science & Technology Letters, 10: 976-982.
  • Peng Y., Cao L.M., Wei J., Cheng Y., Yu K., Du K., Huang X.F. 2023b. Key drivers to heterogeneity evolution of black carbon-containing particles in real atmosphere. Science of The Total Environment, 897: 166394.
  • Tang M.X., Huang X.F., Sun T.L., Cheng Y., Luo Y., Chen Z., Lin X.Y., Cao L.M., Zhai Y.H., He L.Y. 2022. Decisive role of ozone formation control in winter PM2.5 mitigation in Shenzhen, China. Environmental Pollution, 301.
  • Zhu B., Huang X.F., Xia S.Y., Lin L.L., Cheng Y., He L.Y. 2021. Biomass-burning emissions could significantly enhance the atmospheric oxidizing capacity in continental air pollution. Environmental Pollution, 285.
  • Lin L.L., Cheng Y., Cao L.M., Yu G.H., Huang X.F. 2021. The characterization and source apportionment of VOCs in Shenzhen during ozone polluted period. China Environmental Science, 41: 3484-3492.
  • Wang B.X., Cheng Y., Yu G.H., Li X., Wang H.C., Zheng Z.L., Zeng L.W., Huang X.F. 2024. Vertical distribution monitoring of near-surface atmospheric VOCs in Shenzhen based on UAV-borne. China Environmental Science, 44: 3021-3029.
  • Tang M.X., Huang X.F., Cheng Y., Lin X.Y., Yao P.T., He L.Y. 2023. Study on characterizing the spatial distribution of activity of photochemistry in summer and autumn in Guangdong Province, China. China Environmental Science, 43: 1-6.
  • Cui Z.Y., Qiu Z.C., Sun T.L., Cheng Y., Wang B.X., Huang X.F., He L.Y. 2023. Vertical distribution of day-time volatile organic compounds in the near-surface atmosphere in Shenzhen. Acta Scientiae Circumstantiae, 43: 226-234.
  • Chen Y., Zhu B., Huang P.R., Cheng Y., He L.Y., Huang X.F. 2022. Characteristics for ambient volatile organic compounds in the eastern coastal area in Shenzhen，China. Acta Scientiae Circumstantiae, 42: 295-305.


🏅 Scholarships & Honors

  • Outstanding Graduate of Beijing Municipality (2025)
  • Outstanding Graduate of Peking University (2025)
  • National Scholarship (2021, the highest national honor for students in China)
  • Peking University May 4th Scholarship (2024, the highest honor for students at Peking University)
  • Peking University CIB Scholarship (2022)
  • Peking University Academic Innovation Award (2023-2024, <1%)
  • Peking University Merit Student (2019-2020)
  • Peking University Merit Student (2020-2021)
  • Peking University Merit Student (2021-2022)
  • Peking University Merit Student (2022-2023)
  • Peking University Merit Student (2023-2024)
  • 1st Prize, Final Academic Competition, 29th Peking University “Challenge Cup” May Fourth Youth Science Award (2021, First Contributor)
  • 3rd Prize, Final Academic Competition, 30th Peking University “Challenge Cup” May Fourth Youth Science Award (2022, First Contributor)
  • 1st Prize, Final Academic Competition, 31st Peking University “Challenge Cup” May Fourth Youth Science Award (2023, First Contributor)
  • 2nd Prize, Final Academic Competition, 32nd Peking University “Challenge Cup” May Fourth Youth Science Award (2024, First Contributor)
  • Best Poster Award at the 5th National Symposium on Prevention and Control of Atmospheric Ozone Pollution (2023)
  • Outstanding Oral Presentation Award at the 2nd Future Particles Frontier Forum (2025)
  • Outstanding Graduate of Shanxi University (2019)
  • First-Class Outstanding Student Scholarship, Shanxi University (2016)
  • First-Class Outstanding Student Scholarship, Shanxi University (2017)
  • Second-Class Outstanding Student Scholarship, Shanxi University (2018)
  • First-Class Outstanding Student Scholarship, Shanxi University (2019)
  • Shanxi University Merit Student (2015-2016)
  • Shanxi University Merit Student (2016-2017)
  • Shanxi University Merit Student (2018-2019)
  • 1st Prize, 19th “Innovation Challenge Cup” Academic and Technological Works Competition, Shanxi University (2019, First Contributor)
  • 1st Prize, 16th “Xingjin Challenge Cup” Academic and Technological Works Competition, Shanxi Province (2019, First Contributor)


🏛️ Research Practice & Academic Exchange

  • Ministry of Science and Technology, Key R&D Program Project, No. 2023YFC3705101, “High-Sensitivity Airborne Detection Technology for Multi-Pollutants and Cloud Water Chemistry,” 2023-2027, ongoing. Participated in project application and report writing.
  • Ministry of Science and Technology, Key R&D Program Project, No. 2018YFC0213904, “Coupled Formation Mechanism of Secondary Aerosols and Ozone Pollution in the Guangdong-Hong Kong-Macao Region,” 2018-2021, completed. Involved in data collection, software development, and report writing.
  • Guangdong Provincial Department of Science and Technology, Key Area R&D Program Project, No. 2020B1111360003, “Development and Demonstration of Key Technologies for Rapid Ozone Pollution Early Warning and Precise Response,” 2021-2024, completed. Participated in VOCs sampling and algorithm development.
  • Shenzhen Science and Technology Innovation Commission, Shenzhen Science and Technology Program Project, No. KCXFZ202002011006340, “Development and Demonstration of High-Resolution Three-Dimensional Monitoring Technology for Ozone and Its Precursors,” 2020-2023, completed. Responsible for airspace application, UAV vertical sampling of atmospheric pollutants, and data analysis.
  • In May 2019, as a member of the Chinese university student delegation, visited various research institutions in Japan for academic exchanges.
  • In May 2023, participated in the 5th National Symposium on Atmospheric Ozone Pollution Prevention and Control (Wuhan, China) and presented a poster, winning the Best Poster Award.
  • In December 2023, attended the AGU23 Fall Meeting (San Francisco, USA) and presented a poster, which garnered positive feedback.
  • In April 2025, participated in the 2nd Future Particles Frontier Forum (Xi’an, China) and delivered an oral presentation, winning the Outstanding Oral Presentation Award.


🦾 Skills & Expertise

  • Programming and Software Development: Proficient in Python, R, and MATLAB for the development and application of AI technologies in the atmospheric environment field. Skilled in big data processing, analysis, and visualization. Capable of independently completing the full-stack development process, including backend databases, frontend UI design, and software deployment. Developed various research tool applications, both online and offline.
  • Software Proficiency: Experienced in specialized GIS software, including ArcGIS and ENVI, for geospatial data analysis. Proficient in the PMF source apportionment model and the box model based on the MCM. Additionally, has experience with running mesoscale chemical transport models such as WRF-CMAQ.


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