Extracting Protein-Reaction Information from Tables of Unpredictable Format and Content in the Molecular Biology Literature. - Sam Sloate; Vincent Hsiao; Nina Charness; Ethan Lowman; Chris Maxey; Guannan Ren; Nathan Fields; Leora Morgenstern (BAI@IJCAI, 2016)

Live and Learn, Ask and Tell: Agents over Tasks. - Don Perlis; Clifford Bakalian; Justin Brody; Timothy Clausner; Matthew D. Goldberg; Adam Hamlin; Vincent Hsiao; Darsana P. Josyula; Chris Maxey; Seth Rabin; David Sekora; Jared Shamwell; et al. (IWSDS, 2019)

Approximating Spatial Evolutionary Games using Bayesian Networks. - Vincent Hsiao; Xinyue Pan; Dana S. Nau; Rina Dechter (AAMAS, 2021)

Fast Fourier Transform Reductions for Bayesian Network Inference. - Vincent Hsiao; Dana S. Nau; Rina Dechter (AISTATS, 2022)

A Mean Field Game Model of Spatial Evolutionary Games. - Vincent Hsiao; Dana S. Nau (AAMAS, 2022)

Metric Indexing for the Earth Mover's Distance. - Vincent Hsiao; Hanan Samet (GeoSearch@SIGSPATIAL, 2023)

An Approximation Framework for Large-Scale Spatial Games. - Vincent Hsiao (2023)

Surrogate Bayesian Networks for Approximating Evolutionary Games. - Vincent Hsiao; Dana S. Nau; Bobak Pezeshki; Rina Dechter (AISTATS, 2024)

Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network. - Vincent Hsiao; Mark Roberts; Laura M. Hiatt; George Dimitri Konidaris; Dana S. Nau (AAMAS, 2025)

Bootstrapping Human-Like Planning via LLMs. - David Porfirio; Vincent Hsiao; Morgan Fine-Morris; Leslie Smith; Laura M. Hiatt (CoRR, 2025)