Zhiyi Huang

Zhiyi Huang, a Ph.D. student at the University of Pennsylvania, works in the area of economics and computation. He has published papers in forums such as FOCS, ICALP, RANDOM, SODA and APPROX. His research agenda comprises three main aims: (i) the development of a general method for converting approximation algorithms into truthful mechanisms for social welfare maximization, (ii) characterization and design of computationally efficient and truthful mechanisms that obtain near-optimal revenue for multidimensional problems, and (iii) exploration of connections between mechanism design and differential privacy, aiming to develop mechanisms that are both truthful and differentially private. Huang’s existing publications demonstrate progress on all three aims.