Computational Complexity and Game Theory group
Department of Computer Science
Email: zhile <at> cs.au.dk
I am a postdoc under Stratis Skoulakis at Aarhus University. Before working with Stratis, I obtained my Ph.D. degree under supervision from Ioannis Caragiannis. I got my master's degree at Aarhus Univeristy and my bachelor's degree at College of Computer Science, Sichuan University.
I am working on various problems in algorithmic game theory, such as mechanism design with divisible items and equilibrium computation. I am also open with any interesting problem in theoretical computer science. Before I jumped into theory, I did some research in reinforcement learning, deep learning, and natural language processing.
My CV is here.
On the satisfiability of random $3$-SAT formulas with $k$-wise independent clauses. Ioannis Caragiannis, Nick Gravin, Zhile Jiang.
Bounds on the revenue gap of linear posted pricing for selling a divisible item. Ioannis Caragiannis, Zhile Jiang, Apostolis Kerentzis.
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).
Subreviewer: WINE’22, AAMAS’23, MFCS’23, WINE’23, WWW’24, STOC’24, COCOON’25, MFCS’25
I taught Computability and Logic (Spring'24), Optimization (Spring'23), Machine Learning (Fall'22), and Data Mining (Spring'22) at Aarhus University as TA.
Last updated: Jun. 11, 2025