An Unpooling Layer for Graph Generation. - Yinglong Guo; Dongmian Zou; Gilad Lerman (AISTATS, 2023)

Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings, with drug-repurposing applications in COVID-19. - Henry Cousins; Taryn Hall; Yinglong Guo; Luke Tso; Kathy T. H. Tzeng; Le Cong; Russ B. Altman (Bioinform., 2023)

The effect of Leaky ReLUs on the training and generalization of overparameterized networks. - Yinglong Guo; Shaohan Li; Gilad Lerman (AISTATS, 2024)

Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets. - Cristian Chica; Yinglong Guo; Gilad Lerman (CoRR, 2024)

Learning to Charge More: A Theoretical Study of Collusion by Q-Learning Agents. - Cristian Chica; Yinglong Guo; Gilad Lerman (CoRR, 2025)