I am Weiming Feng (凤维明), a Ph.D. student in the theory group in the Department of Computer Science and Technology at Nanjing University. My advisor is Professor Yitong Yin. Before I studied in Nanjing University, I obtained B.Eng. degree from University of Electronic Science and Technology of China in June 2016, where I majored in Network Engineering.
My research interest lies in theoretical computer science. Currently, I focus on sampling and counting algorithms. Classic topics include Markov chain Monte Carlo (MCMC) methods, spatial mixing of Gibbs distributions and computational phase transitions. I am also interested in new problems that arose from recent applications, including dynamic and distributed sampling algorithms.
Ph.D. in Computer Science, 2016 - present
Nanjing University (NJU)
B.Eng. in Network Engineering, 2012 - 2016
University of Electronic Science and Technology of China (UESTC)