Closing the Feedback Loop: A 12-month Evaluation of ASTA, a Self-Tracking Application for ASHAs. - Brian DeRenzi; Jeremy Wacksman; Nicola Dell; Scott Lee; Neal Lesh; Gaetano Borriello; Andrew Ellner (ICTD, 2016)

AI as Evaluator: Search Driven Playtesting of Modern Board Games. - Fernando de Mesentier Silva; Scott Lee; Julian Togelius; Andy Nealen (AAAI Workshops, 2017)

Supporting Community Health Workers in India through Voice- and Web-Based Feedback. - Brian DeRenzi; Nicola Dell; Jeremy Wacksman; Scott Lee; Neal Lesh (CHI, 2017)

Showdown AI competition. - Scott Lee; Julian Togelius (CIG, 2017)

AI-based playtesting of contemporary board games. - Fernando de Mesentier Silva; Scott Lee; Julian Togelius; Andy Nealen (FDG, 2017)

Exploring the hearthstone deck space. - Aditya Bhatt 002; Scott Lee; Fernando de Mesentier Silva; Connor W. Watson; Julian Togelius; Amy K. Hoover (FDG, 2018)

Evolving maps and decks for ticket to ride. - Fernando de Mesentier Silva; Scott Lee; Julian Togelius; Andy Nealen (FDG, 2018)

Talakat: bullet hell generation through constrained map-elites. - Ahmed Khalifa 001; Scott Lee; Andy Nealen; Julian Togelius (GECCO, 2018)

Natural Language Generation for Electronic Health Records. - Scott Lee (CoRR, 2018)

A Self-Play Policy Optimization Approach to Battling Pokémon. - Dan Huang; Scott Lee (CoG, 2019)

Evolving the Hearthstone Meta. - Fernando de Mesentier Silva; Rodrigo Canaan; Scott Lee; Matthew C. Fontaine; Julian Togelius; Amy K. Hoover (CoG, 2019)

Mapping hearthstone deck spaces through MAP-elites with sliding boundaries. - Matthew C. Fontaine; Scott Lee; Lisa B. Soros; Fernando de Mesentier Silva; Julian Togelius; Amy K. Hoover (GECCO, 2019)

NBDT: Neural-Backed Decision Trees. - Alvin Wan; Lisa Dunlap; Daniel Ho; Jihan Yin; Scott Lee; Henry Jin; Suzanne Petryk; Sarah Adel Bargal; Joseph E. Gonzalez (CoRR, 2020)

The Many AI Challenges of Hearthstone. - Amy K. Hoover; Julian Togelius; Scott Lee; Fernando de Mesentier Silva (Künstliche Intell., 2020)

NBDT: Neural-Backed Decision Tree. - Alvin Wan; Lisa Dunlap; Daniel Ho; Jihan Yin; Scott Lee; Suzanne Petryk; Sarah Adel Bargal; Joseph E. Gonzalez (ICLR, 2021)

Blackbox Post-Processing for Multiclass Fairness. - Preston Putzel; Scott Lee (SafeAI@AAAI, 2022)

Advancing Public Health Equity: A Proposed Framework across AI Workflows. - Micaela Siraj; Jacob Zelko; Elizabeth Shivers; Alexandra Trani; Charity A. Hilton; Scott Lee; Travis Hoppe; Juliana Cyril; Jon Duke (AMIA, 2022)

Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. - Huaicheng Li; Daniel S. Berger; Lisa Hsu; Daniel Ernst; Pantea Zardoshti; Stanko Novakovic; Monish Shah; Samir Rajadnya; Scott Lee; Ishwar Agarwal; Mark D. Hill; Marcus Fontoura; et al. (ASPLOS (2), 2023)

Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms. - Daniel S. Berger; Daniel Ernst; Huaicheng Li; Pantea Zardoshti; Monish Shah; Samir Rajadnya; Scott Lee; Lisa Hsu; Ishwar Agarwal; Mark D. Hill; Ricardo Bianchini (IEEE Micro, 2023)

The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. - Frank Sifei Luan; Ziming Mao; Ron Yifeng Wang; Charlotte Lin; Amog Kamsetty; Hao Chen; Cheng Su; Balaji Veeramani; Scott Lee; SangBin Cho; Clark Zinzow; Eric Liang; et al. (CoRR, 2025)