Jiang, Zhile 蒋至乐

Email: zhile <at> cs.au.dk

I am a second-year PhD student supervised by Ioannis Caragiannis at Aarhus University. I study in algorithmic game theory. Before working with Iannis, I obtained my master's degree at Aarhus Univeristy. I got my bachelor's degree at College of Computer Science, Sichuan University. During my bachelor study, I did some research in reinforcement learning, deep learning, and natural language processing.

Now, I am working on various problems in algorithmic game theory, such as computing equilibrium, pricing, and stable matching. And I am also open with any interesting problem in theoretical computer science.

My CV is here.

Reasearch

Conference Paper

Computing better approximate pure Nash equilibria in cut games via semidefinite programming. Ioannis Caragiannis, Zhile Jiang. STOC 2023

A Multi-Task Learning Framework for Abstractive Text Summarization. Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel. AAAI 2019 (student abstract).

Multi-task Learning for Author Profiling with Hierarchical Features. Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu. WWW 2018 (poster).

Teaching

I teach Optimization (Spring'23) at Aarhus Univerisity as TA.

I taught Machine Learning (Fall'22) and Data Mining (Spring'22) at Aarhus University as TA.

Last updated: Feb. 8, 2022