Towards Adaptive Anomaly Detection in Buildings with Deep Reinforcement Learning. - Tong Wu 012; Jorge Ortiz 001 (BuildSys, 2019)

The smart building privacy challenge. - Tong Wu 012; Murtadha Aldeer; Tahiya Chowdhury; Amber Haynes; Fateme Nikseresht; Mahsa Pahlavikhah Varnosfaderani; Jiechao Gao; Arsalan Heydarian; Brad Campbell; Jorge Ortiz 001 (BuildSys, 2021)

RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning. - Tong Wu 012; Jorge Ortiz 001 (CoRR, 2021)

Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion. - Tong Wu 012; Nikolas Martelaro; Simon Stent; Jorge Ortiz 001; Wendy Ju (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups. - Jan Ondras; Abrar Anwar; Tong Wu 012; Fanjun Bu; Malte F. Jung; Jorge Jose Ortiz; Tapomayukh Bhattacharjee (CoRL, 2022)

Toward an Adaptive Situational Awareness Support System for Urban Driving. - Tong Wu 012; Enna Sachdeva; Kumar Akash; Xingwei Wu; Teruhisa Misu; Jorge Ortiz 001 (IV, 2022)

Poster Abstract: Multi-sensor Fusion for In-cabin Vehicular Sensing Applications. - Tong Wu 012; Navid Salami Pargoo; Jorge Ortiz 001 (IPSN, 2023)

(Social) Trouble on the Road: Understanding and Addressing Social Discomfort in Shared Car Trips. - Alexandra W. D. Bremers; Natalie Friedman; Sam Lee; Tong Wu 012; Eric Laurier; Malte F. Jung; Jorge Ortiz 001; Wendy Ju (CUI, 2024)