Content
≡
profile photo

郑煜钒 (Yufan Ivan ZHENG)

Yufan Zheng is an incoming PhD student (2025 fall) at the University of Canberra, Australia, and the ARC Training Centre in Plant Biosecurity, supervised by Prof. Richard Duncan, Dr. Angus Carnegie, and Dr. Helen Nahrung. He was a full-time research assistant at the City University of Hong Kong, supervised by Dr. Eric Wong and Dr. Sean Yuan during December 2022 and July 2024. He worked at Huangpu Institute of Materials with Dr. Feng Ye between March 2022 and November 2022. He received his B.Eng. degree in computer science and technology with outstanding graduate honors from the Nanfang College of Sun Yat-sen University in Guangzhou, China. He was advised by Dr. Choujun Zhan, Prof. Haijuan Zhang, and Prof. Guanrong Chen during his undergraduate college years (2018-2022). He was also fortunate to be mentored and work with Dr. Rocky Chen from the University of Queensland, Australia.

Email: zhjpre@gmail.com & ivan.zane1999@gmail.com

Google Scholar  /  ORCID  /  Github  /  CV  /  Research Projects

Research Interest

My research focuses on developing useful tools that help humans make better decisions in different areas (healthcare, industry, public health, and social media) and exploring potential relationships between mass data.

  • Data mining
  • Data analysis
  • Machine learning
  • Network science
  • Dynamic systems
  • Time series


    • Publication

    Journal Papers:

    1. Impact of human mobility and weather conditions on Dengue mosquito abundance during the COVID-19 pandemic in Hong Kong
      Yufan Zheng, Keqi Yue, Eric Wong, Hsiang-Yu Yuan
      Infectious Disease Modelling (JCR Q1) | April 2025

    2. A data-driven study of active meteorological stations and the factors motivating their establishing
      Choujun Zhan, Wei Jiang, Yufan Zheng, Junhui Lu Qizhi Zhang
      Sustainable Energy Technologies and Assessments (JCR Q1) | April 2023

    3. Modeling the Spread Dynamics of Multiple-variant Coronavirus Disease under Public Health Interventions: A General Framework
      Choujun Zhan, Yufan Zheng, Lujiao Shao, Guanrong Chen, Haijun Zhang
      Information Sciences (JCR Q1) | February 2023

    4. Random-Forest-Bagging Broad Learning System with Applications for COVID-19 Pandemic
      Choujun Zhan, Yufan Zheng, Haijun Zhang, Quansi Wen
      IEEE Internet of Things Journal (JCR Q1) | Mar 2021

    5. Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers
      Choujun Zhan, Yufan Zheng, Zhikang Lai, Tianyong Hao, Bing Li
      Neural Computing and Applications (JCR Q2) | Mar 2020

    Conference Papers:

    1. Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Project
      Hu Ming, Kaihan Wu, Minghao Tan, Yufan Zheng, Junyan Lin, Choujun Zhan
      International Conference on Neural Computing for Advanced Applications 2021 (NCAA 2021) | Oct 2022

    2. COVID-19’s Impact on the Box Office: Machine Learning and Difference-in-Difference
      Yufan Zheng, Qiaoling Zhen, Minghao Tan, Haoran Hu, Choujun Zhan
      2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) | Nov 2021

    3. Detection Capability Prediction Based on Broad Learning System During The COVID-19 Pandemic
      Junyan Lin, Minghao Tan, Yufan Zheng, Kaihan Wu, Choujun Zhan
      2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) | Nov 2021

    4. Predicting video game sales based on machine learning and hybrid-based feature selection
      Jianbing Li, Yufan Zheng, Haoran Hu, Junhui Lu, Choujun Zhan
      2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) | Nov 2021

    5. The impact of COVID-19 on online games: Machine learning and Difference-In-Difference
      Shuangyan Wu, Haoran Hu, Yufan Zheng, Qiaoling Zhen, Shuntao Zhang, Choujun Zhan
      CCF Conference on Computer Supported Cooperative Work and Social Computing | Sep 2021

    6. Movie box office prediction based on ensemble learning
      Shuangyan Wu, Yufan Zheng, Zhikang Lai, Fujian Wu, Choujun Zhan
      IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN) | Oct 2019 | Oral Presentation

    Experience

    1. Dec. 2022 - Jul. 2024, Research Assistant, Department of Electrical Engineering, City University of Hong Kong, China

    2. Jun. 2022 - Nov. 2022, Algorithm technician, Industrial Software Development Division, Huangpu Institute of Materials, China

    3. Mar. 2022 - Jun. 2022, Intern, Industrial Software Development Division, Huangpu Institute of Materials, China

    4. Mar. 2019 - Mar. 2022, Research Assistant, Research Institute of Big Data and Artificial Intelligence (RIBDAI), Nanfang College of Sun Yat-sen University in Guangzhou, China

    Service

    Reviewer:

    1. Internet of Things

    2. Infectious Disease Modelling

    3. IEEE Transactions on Consumer Electronics

    4. Big Data Research

    Talk:

    1. Oct 2019, "Movie box office prediction based on ensemble learning" at ISPCE-CN 2019

    Award

    1. 2020 - 2021, Oustanding Graduates of NanFang College of Sun Yat-Sen University

    2. 2019 - 2020, National Scholarship, China

    3. Oct 2019, Merit award conference paper in 2019 IEEE International Symposium on Product Compliance Engineering-Asia

    Project

    1. Co-Investigator, 2020 - 2021, "E-business strategy mining based on big data and machine learning", Provincial College Students' Innovative Entrepreneurial Training Plan Program, China (10,000 CNY, No. S201912619030X)

    2. Co-Investigator, 2019 - 2020, "Solar radiation estimation system based on hours of sunshine and Planck's law", Provincial College Students' Innovative Entrepreneurial Training Plan Program, China (10,000 CNY, No. S202012619022)

    3. Principal Investigator, 2019 - 2020, "Box office forecasting based on big data and deep learning", Provincial College Students' Innovative Entrepreneurial Training Plan Program, China (10,000 CNY, No. S202012619021)


    Welcome to use this website's source code, just add a link back to here. ✩