Nonparametric estimation and testing of exchangeable graph models. - Justin Yang; Christina Han; Edoardo M. Airoldi (AISTATS, 2014)

A Game-Oriented Educational Tool for Location Privacy Topics. - Justin Yang; Oana-Georgiana Niculaescu; Gabriel Ghinita (SIGSPATIAL/GIS, 2017)

Deepfakes Detection with Automatic Face Weighting. - Daniel Mas Montserrat; Hanxiang Hao; Sri Kalyan Yarlagadda; Sriram Baireddy; Ruiting Shao; János Horváth; Emily R. Bartusiak; Justin Yang; David Güera; Fengqing Zhu 001; Edward J. Delp (CVPR Workshops, 2020)

Visual communication of object concepts at different levels of abstraction. - Justin Yang; Judith E. Fan (CogSci, 2021)

Deepfake Detection Using Multiple Data Modalities. - Hanxiang Hao; Emily R. Bartusiak; David Güera; Daniel Mas Montserrat; Sriram Baireddy; Ziyue Xiang; Sri Kalyan Yarlagadda; Ruiting Shao; János Horváth; Justin Yang; Fengqing Zhu 001; Edward J. Delp (Handbook of Digital Face Manipulation and Detection, 2022)

How do people incorporate advice from artificial agents when making physical judgments? - Erik Brockbank; Haoliang Wang; Justin Yang; Suvir Mirchandani; Erdem Biyik; Dorsa Sadigh; Judith E. Fan (CogSci, 2022)

Developmental changes in the semantic part structure of drawn objects. - Holly Huey; Bria Long; Justin Yang; Kaylee R. George; Judith E. Fan (CogSci, 2022)

Decomposing objects into parts from vision and language. - Maneesha Nagabandi; Justin Yang; Holly Huey; Judith E. Fan (CogSci, 2022)

VR facial expression tracking via action unit intensity regression model. - Xiaoyu Ji 004; Justin Yang; Jishang Wei; Yvonne Huang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 2022)

Classifier Guided Domain Adaptation for VR Facial Expression Tracking. - Xiaoyu Ji 004; Justin Yang; Jishang Wei; Yvonne Huang; Shibo Zhang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (ICME Workshops, 2023)

VR Facial Expression Tracking Using Locally Linear Embedding. - Justin Yang; Xiaoyu Ji 004; Jishang Wei; Yvonne Huang; Shibo Zhang; Qian Lin 001; Jan P. Allebach; Fengqing Zhu 001 (ICME Workshops, 2023)

Towards Backward-Compatible Continual Learning of Image Compression. - Zhihao Duan; Ming Lu; Justin Yang; Jiangpeng He; Zhan Ma; Fengqing Zhu 001 (CVPR, 2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars. - Justin Yang; Zhihao Duan; Jiangpeng He; Fengqing Zhu 001 (CVPR Workshops, 2024)

Probing Image Compression for Class-Incremental Learning. - Justin Yang; Zhihao Duan; Andrew Peng; Yuning Huang; Jiangpeng He; Fengqing Zhu 001 (PCS, 2024)

A Visual Quality Assessment Method for Raster Images in Scanned Document. - Justin Yang; Peter Bauer; Todd J. Harris; Changhyung Lee; Hyeon Seok Seo; Jan P. Allebach; Fengqing Zhu 001 (SSIAI, 2024)

Reasoning with large language models for medical question answering. - Mary M. Lucas; Justin Yang; Jon K. Pomeroy; Christopher C. Yang (J. Am. Medical Informatics Assoc., 2024)