Research Grants
  • PI: "Beyond Cognitive Appraisal: an AI Delegation Framework for Human-AI Collaborative Intelligence", General Research Grant (GRF) - Hong Kong Research Grants Council , Amount: 365,502 (2023-2024)
  • PI: "Human Mobility Data Mining: the Spillover Effect Detection under the Temporal and Spatial Network with Applications", Young Scientist Fund
    NSFC , Amount: RMB 300,000 (2023-2025)
  • PI: "A Data-driven Rebalancing Optimization System for Bike sharing Systems", General Research Grant (GRF)
    Hong Kong Research Grants Council , Amount: 675,891 (2022-2025)
  • PI: "A Social Media Powered Preseason Production Planning System for Fast-fashion New Releases", Strategic Interdisciplinary Research Grant
    City University of Hong Kong , Amount: $200,000 (2022-2024)
  • PI: "Optimizing Rebalancing Operations in Bike-sharing Systems Considering Spatial-temporal Demand Substitution", Strategic Research Grant
    City University of Hong Kong , Amount: $100,000 (2021-2023)
  • PI: "A Data-driven Aggregate Production-distribution System for Perishable Product Retailers", Early Career Scheme
    Hong Kong Research Grants Council, Amount: $542,000 (2021-2021)
  • PI: "Political Effects of Social Media on Social Incidents in Hong Kong"
    Public Policy Research, Amount: $488,750 (2020-2020)
  • PI: "Development of Big Data Research Analytic Software", Innovation and Technology Fund (ITF)
    Innovation and Technology Commission of the Hong Kong SAR, Amount: $706,100 (2019-2021)
  • PI: "AI-powered Optimization Framework for Inter-connected Warehouse Inventory Rebalancing", Start-up Grant
    City University of Hong Kong , Amount: $200,000 (2019-2021)
Research Projects
My general areas of research are data mining, recommender systems, and business analytics, with applications in urban computing and supply chain management. My primary research focuses on predictive analytics, constrained clustering, large-scale optimization and their combinations for solving emerging supply chain management problems. I started my research on Bike Sharing System and conducted numerous researches on large-scale station inventory rebalancing and facility site selection problems. Furthermore, I expanded my research to multi-product supply chain analytics and developed intelligent ordering, replenishment, and transshipment systems for perishable products and fast fashion.
  • Operations Management of Bike Sharing Systems
    Bike sharing systems have been widely deployed for first- and last-mile transportation in urban cities. The rebalancing optimization is aimed to address the geographical and temporal imbalance of bike demand by reallocating bikes among stations, such that the stations maintain a high service level throughout the day. The facility selection is focused on implementing transfer learning techniques to optimize new station locations in the expanding bike service regions.
    Co-authored with SUN Leilei and CHEN Weiwei.
  • Route Recommender System for Taxi Drivers

    The design goal of the recommender system for taxi drivers is to maximize their net profits by following the recommended routes for searching passages. In particular, the system can provide an entire driving route and the drivers are able to find a customer with the largest potential profit using our efficent recursive searching strategy.

    The following problems have been investigated:

    1) Dynamic taxi pick-up possibility prediction model;

    2) Taxi driver Maximum Net Profit (MNP) route recommendation system;

    3) Road rebalancing strategy for taxi crowdedness.

    Co-authored with CHEN Weiwei and TENG Mingfei.
  • The Economic Value of Live Streaming E-commerce
    Live streaming e-commerce has been widely adopted by e-commerce platforms. This project is aimed to analyze the unique operational value and economic impact of live streaming from live streaming videos and consumer transaction data analytics. We explore the underlying mechanisms to offer a more nuanced understanding of the marketing power of celebrity streamers.
    Co-authored with WANG Yunhui and FANG Yulin.
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