Hu Fu

Email: fu dot hu dot thu at gmail dot com 		Lijiang

About Me

I am an associate professor in the Institute for Theoretical Computer Science at Shanghai University of Finance and Economics.

I received my PhD from the Department of Computer Science at Cornell University, under the supervision of Professor Robert Kleinberg . I was then a postdoc at Microsoft Research, New England Lab, and later at Caltech, Computing and Mathematical Sciences. I was assistant professor in the Department of Computer Science of the University of British Columbia from 2016 to 2020.

My research takes a computational perspecitve on problems arising from economic contexts. I am also interested in theoretical computer science in general.

Services (Selected)

I was a PC co-chair of WINE'21 with Michal Feldman (chair) and Inbal Talgam-Cohen (co-chair).

I was a workshop co-chair for EC 2019-2021 (first with Scott Kominers and then with Annie Liang).

I was a co-editor, with Reshef Meir, for the EC 19 Special Issue of ACM Transaction of Economics and Computation (TEAC).

I was the editor-in-chief of the SIGecom exchanges from 2016 to 2019. (Matt Weinberg was a co-editor in 2018-2019.)

I was a co-organizer of the First Workshop on Algorithmic Game Theory and Data Science.

Teaching

Spring 2016 Platforms and Internet Marketplaces at Caltech co-taught with Adam Wierman.
Fall 2016 CPSC 536F Algorithmic Game Theory at UBC.
Fall 2017 CPSC 536F Computational Perspectives on Economic Questions .
Spring 2018 CPSC 420 Advanced Algorithm Design and Analysis.
Fall 2018 CPSC 536F Algorithmic Game Theory.
Spring 2019 CPSC 420 + 500 Advanced Algorithm Design and Analysis.
Fall 2019 CPSC 420 Advanced Algorithm Design and Analysis and CPSC 531F Tools for Modern Algorithm Analysis at UBC.
Fall 2021 Algorithms and Data Structures for Big Data at SHUFE.
Spring 2022 Programming Abstraction in C++ at SHUFE.
Fall 2022 Mechanism Design (co-taught with Zhihao Gavin Tang) and Algorithms and Data Structures for Big Data at SHUFE.
Spring 2023 Programming Abstraction in C++, Algorithm Design and Analysis at SHUFE.
Fall 2023 Algorithms and Data Structures for Big Data and Principles of Computer Organization (co-taught with Xiao Wang, Zhiming Zhou and Yixin Tao) at SHUFE.
Spring 2024 Programming Abstraction in C++, Algorithm Design and Analysis at SHUFE.
Fall 2024 Seminar on Online Algorithms (for undergrads, co-taught with Zhihao Gavin Tang) and Seminar on Mechanism Design (for undergrads) at SHUFE.

Notes

Some of my lecture notes are collected here, organized by topics.

Publications