Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning. - Jiachuan Peng; Peilun Shi; Jianing Qiu; Xinwei Ju; Frank P.-W. Lo; Xiao Gu 003; Wenyan Jia; Tom Baranowski; Matilda Steiner-Asiedu; Alex K. Anderson; Megan A. McCrory; Edward Sazonov; et al. (CoRR, 2022)

MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model. - Xinwei Ju; Frank Po Wen Lo; Jianing Qiu; Peilun Shi; Jiachuan Peng; Benny Lo (CoRR, 2022)

EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions. - Peilun Shi; Jiachuan Peng; Jianing Qiu; Xinwei Ju; Frank Po Wen Lo; Benny Lo (ROBIO, 2023)

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. - Jiachuan Peng; Marcel Beetz; Abhirup Banerjee; Min Chen; Vicente Grau (STACOM@MICCAI, 2023)

Large AI Models in Health Informatics: Applications, Challenges, and the Future. - Jianing Qiu; Lin Li 070; Jiankai Sun; Jiachuan Peng; Peilun Shi; Ruiyang Zhang; Yinzhao Dong; Kyle Lam; Frank P.-W. Lo; Bo Xiao 002; Wu Yuan 001; Dong Xu 002; et al. (CoRR, 2023)

Large AI Models in Health Informatics: Applications, Challenges, and the Future. - Jianing Qiu; Lin Li 070; Jiankai Sun; Jiachuan Peng; Peilun Shi; Ruiyang Zhang; Yinzhao Dong; Kyle Lam; Frank P.-W. Lo; Bo Xiao 002; Wu Yuan 001; Ningli Wang; et al. (IEEE J. Biomed. Health Informatics, 2023)