As I have moved to industry, I will not update this page anymore.
I am an analyst and application programer at Merrill Lynch in Tonronto. In 2013, I obtained my Ph.D. in Computer Science at City University of Hong Kong under the supervision of Xiaotie Deng and Minming Li. I also spent nearly three years as a postdoctoral researcher at the Institute of Informatics, University of Warsaw and Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome during 2013-2016. I am very grateful to work with my hosts Piotr Sankowski and Stefano Leonardi.
During the past, I have been also very fortunate to visit: (by date)
[Mar'17] I have started an analyst and application programer posistion at Merrill Lynch in Toronto.More →
In general, my previous research lies in the area of theoretical computer science. My research focused on algorithmic mechanism design and approximation algorithms, for example, design of incentive compatible protocols, revenue maximization pricing algorithms.
Strategyproof Mechanisms for (Fractional) Hedonic Games
Michele Flammini, Gianpiero Monaco, Qiang Zhang
Mechanism Design with Exchangeable Allocations
Stefano Leonardi, Gianpiero Monaco, Piotr Sankowski and Qiang Zhang, Budget Feasible Mechanisms on Matroids, The 19th Conference on Integer Programming and Combinatorial Optimization (IPCO'17), 2017. To appear.
Ke Li, Kalyanmoy Deb, Qingfu Zhang, and Qiang Zhang, Efficient Non-domination Level Update Method for Steady-State Evolutionary Multiobjective Optimization IEEE Transactions on Cybernetics (TCYB), accepted for publication.
Riccardo Colini-Baldeschi, Stefano Leonardi and Qiang Zhang, Revenue Maximizing Envy-Free Pricing in Matching Markets with Budgets, The 12th Conference on Web and Internet Economics (WINE’16), 2016.
Reviewer service: APPROX, COCOON, ESA, ICALP, IJCAI, INFOCOM, ISAAC, SAGT, STOC, WINE