Zihao Viston Wang 💻
Zihao Viston Wang

PhD Candidate

About Me

Zihao Viston Wang is currently pursuing a Ph.D. in Agricultural and Forestry Economics Management under the supervision of Prof. Tianjun Liu. His research focuses on agricultural supply chains, with particular expertise in empirical analysis and artificial intelligence algorithms. He is committed to integrating research paradigms from agricultural and forestry economics with management science.

Interests
  • ⌨️ Programming
  • 🎤 Singing
  • 🥅 Soccer
Education
  • PhD Candidate in A&F Economics Management

    College of Economics & Management, Northwest A&F University

  • MEng. in Management Science & Engineering

    School of Management, Xi'an University of Architecture and Technology

  • BMgmt. in Engineering Management

    School of Civil Engineering, Dalian Minzu University

📚 My Research

My research focuses on the supply chains within the agri-industry. Currently, I am investigating the efficiency-enhancing effects of digital intelligence on agricultural enterprises, farming households, and the agricultural supply chain. I specialize in utilizing AI algorithms, including reinforcement learning and deep learning, to address operational decision-making challenges faced by stakeholders in the agricultural supply chain. For instance, my research published in Omega designed an smart inventory system for fresh produce wholesalers, effectively overcoming the dynamic replenishment in presence of perishable nature of produce.

I am also studying empirical research methods in economics and am committed to deeply integrating agricultural economics and management science research paradigms. My objective is to provide new perspectives on issues related to the agricultural supply chain through an interdisciplinary approach.

My research interests encompass the following areas:

  • 🌱 Agri-industry chains
  • 🍎 Agri-product supply chains
  • 🤖 Artificial intelligence
  • 📊 Data science

I welcome collaboration and discussions with colleagues who share similar interests. 🤟

⭐ Featured Publications
📝 Recent Publications
(2024). Operation decisions and coordination contract in a dual-channel green supply chain with risk tolerance. Control and Decision, 39(06), 267-279.
(2023). Financing Strategy for a Dual-channel Supply Chain that Faces Loss-averse Retailers and Stochastic Demands. Management Review, 35(05), 267-279.
📢 Recent News

Code sharing | Scoreboard

This is a real-time, flexible web application for event scoring statistics that I developed.

Paper sharing | Factors Influencing the Citizenization of Rural-Urban Migrants: A Study Based on Machine Learning

This study, published in the journal China Rural Economy, employs various machine learning methods, including multiple linear regression, penalized regression, ensemble learning, and deep learning, to examine the factors influencing the urbanization level of the agricultural migrant population. The article offers new insights and methodologies for analyzing these influencing factors through machine learning techniques.

Paper sharing | The informal economy at times of COVID-19 pandemic

This study, authored by Professor Guo Feng from Shanghai University of Finance and Economics, is published in the China Economic Review. It primarily employs machine learning and empirical methods for causal inference, utilizing data from Ant Financial to assess the conditions of offline small and micro operators in the informal economy during the COVID-19 pandemic.

💬 Comment section

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