Multi-task Learning for Author Profiling with Hierarchical Features. - Zhile Jiang; Shuai Yu 002; Qiang Qu; Min Yang 007; Junyu Luo 001; Juncheng Liu (WWW (Companion Volume), 2018)

A Multi-Task Learning Framework for Abstractive Text Summarization. - Yao Lu; Linqing Liu; Zhile Jiang; Min Yang 007; Randy Goebel (AAAI, 2019)

Computing Better Approximate Pure Nash Equilibria in Cut Games via Semidefinite Programming. - Ioannis Caragiannis; Zhile Jiang (STOC, 2023)

On the satisfiability of random 3-SAT formulas with k-wise independent clauses. - Ioannis Caragiannis; Nick Gravin; Zhile Jiang (CoRR, 2024)

Rethinking Pricing in Energy Markets: Pay-as-Bid vs Pay-as-Clear. - Ioannis Caragiannis; Zhile Jiang; Stratis Skoulakis (CoRR, 2025)