PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty. - Riku Arakawa; Hiromu Yakura; Vimal Mollyn; Suzanne Nie; Emma Russell; Dustin P. DeMeo; Haarika A. Reddy; Alexander K. Maytin; Bryan T. Carroll; Jill Fain Lehman; Mayank Goel (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. - Paul Pu Liang; Yun Cheng; Xiang Fan; Chun Kai Ling; Suzanne Nie; Richard J. Chen; Zihao Deng; Nicholas B. Allen; Randy Auerbach; Faisal Mahmood 001; Russ Salakhutdinov; Louis-Philippe Morency (NeurIPS, 2023)

Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. - Paul Pu Liang; Yun Cheng; Xiang Fan; Chun Kai Ling; Suzanne Nie; Richard J. Chen; Zihao Deng; Faisal Mahmood 001; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2023)

Negative to Positive Co-learning with Aggressive Modality Dropout. - Nicholas Magal; Minh Tran; Riku Arakawa; Suzanne Nie (CoRR, 2025)