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.
If you still want to know more, here is my CV.
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)