Zhicheng Liu

Ph.D. Candidate, Southeast University, China
Office: Room 5318, China Wireless Valley, Nanjing
Email:
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About Me

Selected Projects and Publications

  • Urban Mobility
  • Millions of people are moving in the city every day. What are the patterns of these movements? What are the connections of these movements and urban built environments? In what extent could we control urban mobility by adjusting the urban settings? I'm thrilled about exploring these fundamental problems in urban science. Billions of call details record data, traffic survey data together with built environment data are jointly analysed to find answers to these problems.
    Zhicheng Liu, Fabio Miranda, Xiaosu Ma, Weiting Xiong, Junyan Yang, Claudio T. Silva, Qiao Wang,
    Trip Distribution Modeling by Graph Neural Network
    IEEE Transactions on Intelligent Transportation Systems(IEEE T-ITS), 2020
    [Under Review]
    Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Claudio T. Silva
    Learning Geo-Contextual Embeddings for Commuting Flow Prediction
    AAAI Conference on Artificial Intelligence (AAAI), 2020
    [PDF]
    Zhicheng Liu, Jun Cao, Junyan Yang, Qiao Wang
    Discovering dynamic patterns of urban space via semi-nonnegative matrix factorization
    IEEE International Conference on Big Data (Big Data), 2017
    [Link]
    Zhicheng Liu, Jinbin Yu, Weiting Xiong, Jian Lu, Junyan Yang, Qiao Wang
    Using mobile phone data to explore spatial-temporal evolution of home-based daily mobility patterns in Shanghai
    International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), 2016
    [Link]
  • Real Estates
  • More and more real estate developers invest not only on real estate but also on supporting facilities, such as hospitals and schools, to improve their property value. I developed an interpretable Bayesian model to evaluate the impact of built environments on housing price to support real estate developers and urban planners making expensive decisions. Submarket effect is especially treated, which represents the overall effect of heterogeneity in real estates market.
    Zhicheng Liu, Jun Cao, Renjie Xie, Junyan Yang, Qiao Wang
    Modeling Submarket Effect for Real Estate Hedonic Valuation: A Probabilistic Approach
    IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020
    [Link]
    Zhicheng Liu, Shuai Yan, Jun Cao, Tanhua Jin, Jiabo Tang, Junyan Yang, Qiao Wang
    A Bayesian Approach to Residential Property Valuation Based on Built Environment and House Characteristics
    IEEE International Conference on Big Data (Big Data), 2018
    [Link]
    Jiabo Tang, Zhicheng Liu, Yuran Wang, Junyan Yang, Qiao Wang
    Using Geographic Information and Point of Interest to Estimate Missing Second-Hand Housing Price of Residential Area in Urban Space
    IEEE International Smart Cities Conference (ISC2), 2018
    [Link]
  • Epidemiology
  • In response to the outbreak of COVID-19, my colleagues and I developed a spatio-temporal model to simulate the trend of COVID-19 based on ordinary differential equations. The huge domestic migration during the spring festival of China is featured in the model. Simulation is performed to answer the questions: "When will the inflection point come?", "Are traffic blockage and quarantine effective in terms of prevention?", "What if the quarantine is launched earlier or later?" etc.
    Qinghe Liu, Zhicheng Liu, Deqiang Li, Zefei Gao, Junkai Zhu, Junyan Yang, Qiao Wang
    Assessing the Tendency of 2019-nCoV (COVID-19) Outbreak in China
    medRxiv:2020.02.09.20021444, 2020.
    [Link]
    Deqiang Li, Zhicheng Liu, Qinghe Liu, Zefei Gao, Junkai Zhu, Junyan Yang, Qiao Wang
    Estimating the Efficacy of Traffic Blockage and Quarantine for the Epidemic Caused by 2019-nCoV (COVID-19)
    medRxiv:2020.02.14.20022913, 2020.
    [Link]
  • Urban Data Management
  • Urban data is of various kinds and comes from both enterprises and government. One of the challenges in urban data management is to protect data assets when urban applications require data sharing from a variety of enterprises and government agencies. We developed a data sharing model based on blockchain technology enabling protecting data assets while sharing data.
    Yuming Qian, Zhicheng Liu, Junyan Yang, Qiao Wang
    A Method of Exchanging Data in Smart City by Blockchain
    IEEE International Conference on Smart City (HPCC/SmartCity/DSS), 2018
    [Link]
    Go to Google Scholar for full publication list

    Personal Interests