CV (incl. publication list)   Course: Algo and Math Foundations of Game Theory & Econ   Academic Resources   Google Scholar  


CHEUNG, Yun Kuen (Marco)
Senior Lecturer, School of Computing, The Australian National University

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Research Interests  
縱使風雲變幻 萬變不離其宗
Despite hypes and distractions, the essence stays solid.


My general research interests lie in Algorithm Design & Analysis, General Equilibrium Theory and Game Theory. More specifically, I am focusing on Computational Economics, Algorithmic Game Theory and Learning-in-Games. Over the past three decades, the Internet has numerous economic systems characterized by profound interactions between human and algorithms. These systems include recommender systems, gig economies, prediction/financial/betting markets, ad auctions and network sharing. Our objective is to cultivate a comprehensive understanding of these complex systems in terms of stability, efficiency, fairness or diversity, by leveraging techniques from Optimization, Dynamical Systems, Machine Learning, Artificial Intelligence and Control Theory.

I also maintain a keen interest in Combinatorics and Graph Theory & Algorithms, particularly in problems related to graph sparsification, graph partitioning, graph clustering, random walk and random spanning tree. I had worked on analytic combinatorics during my MPhil.

PhD Opportunities  Prof. Lexing Xie and I have been awarded an ARC Discovery Project grant titled "Interactions of Human and Machine Intelligence in Modern Economic Systems". We are seeking motivated students with a strong background in computing or mathematics to pursue PhD and conduct exciting research about online economic systems.

I also have PhD scholarships to support fundamental research in Algorithm Design & Analysis, and Graph Theory & Algorithms.

About Machine Learning (ML): My research intersects with theoretical ML, an area that demands strong mathematical maturity. To engage in meaningful research in this area, it is essential to have a deep understanding of mathematical proofs in multivariable calculus, probability theory, statistics and linear algebra. This translates to the minimal requirements of ANU's MATH1115 and MATH1116, while MATH2320, MATH2222 and MATH3514 are highly preferred.

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