Learning to Schedule Communication in Multi-agent Reinforcement Learning. - Daewoo Kim; Sangwoo Moon; David Hostallero; Wan Ju Kang; Taeyoung Lee; Kyunghwan Son; Yung Yi (ICLR (Poster), 2019)

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. - Kyunghwan Son; Daewoo Kim; Wan Ju Kang; David Hostallero; Yung Yi (ICML, 2019)

Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning. - David Earl Hostallero; Daewoo Kim; Sangwoo Moon; Kyunghwan Son; Wan Ju Kang; Yung Yi (AAMAS, 2020)

A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes' interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19. - Jun Ding; David Earl Hostallero; Mohamed Reda El Khili; Gregory Joseph Fonseca; Simon Milette; Nuzha Noorah; Myriam Guay-Belzile; Jonathan Spicer; Noriko Daneshtalab; Martin Sirois; Karine Tremblay; Amin Emad; et al. (PLoS Comput. Biol., 2021)

Looking at the BiG picture: incorporating bipartite graphs in drug response prediction. - David Earl Hostallero; Yihui Li; Amin Emad (Bioinform., 2022)

Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDL. - David Earl Hostallero; Lixuan Wei; Liewei Wang; Junmei Cairns; Amin Emad (Genom. Proteom. Bioinform., 2023)