I am Weiming Feng (凤维明), a Junior Fellow at the Institute for Theoretical Studies, ETH Zürich, where my mentor is Rasmus Kyng. In Fall 2023, I was a Simons-Berkeley Research Fellow at the Simons Institute for the Theory of Computing, UC Berkeley. From 2021 to 2023, I was a research associate (postdoc) at the School of Informatics, University of Edinburgh, where I worked in Dr. Heng Guo’s group. I obtained my Ph.D. degree from Nanjing University in June 2021, where I was advised by Prof. Yitong Yin. Before I studied at Nanjing University, I obtained B.Eng. degree from the University of Electronic Science and Technology of China in June 2016, where I majored in Network Engineering.
From spring 2025, I will join the School of Computing and Data Science at The University of Hong Kong as a tenure-track assistant professor. I am looking for PhD students and postdocs.
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.
Email: fwm1994 AT gmail DOT com & weiming.feng AT eth-its DOT ethz DOT ch & wfeng AT hku DOT hk
Here is my CV
Ph.D. in Computer Science, 2016 - 2021
Nanjing University (NJU)
B.Eng. in Network Engineering, 2012 - 2016
University of Electronic Science and Technology of China (UESTC)
PDF Slides@ICALP Slides@ADYN_SummerSchool Heng's slides Heng's talk
PDF Slides@USTC Poster@MIT Heng's slides Heng's talk Jiaheng's slides Chunyang's slides
PDF Talk@Simons Poster@Zinal Slides@Zinal Slides@PKU Jiaheng's slides
PDF Talk@FOCS Poster@HALG Slides@FOCS Slides@Oxford Slides@UCSB
PDF Talk@STOC Talk@IJTCS Slides@STOC Slides@ICT_CAS Heng's slides Heng's talk