Switching-State Dynamical Modeling of Daily Behavioral Data. - Randy Ardywibowo; Shuai Huang 001; Shupeng Gui; Cao Xiao; Yu Cheng 001; Ji Liu 002; Xiaoning Qian (J. Heal. Informatics Res., 2018)

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. - Randy Ardywibowo; Guang Zhao; Zhangyang Wang; Bobak Mortazavi; Shuai Huang 001; Xiaoning Qian (AISTATS, 2019)

Learnable Bernoulli Dropout for Bayesian Deep Learning. - Shahin Boluki; Randy Ardywibowo; Siamak Zamani Dadaneh; Mingyuan Zhou; Xiaoning Qian (AISTATS, 2020)

NADS: Neural Architecture Distribution Search for Uncertainty Awareness. - Randy Ardywibowo; Shahin Boluki; Xinyu Gong; Zhangyang Wang; Xiaoning Qian (ICML, 2020)

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. - Randy Ardywibowo; Shahin Boluki; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (AISTATS, 2022)

VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. - Randy Ardywibowo; Zepeng Huo; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (ICML, 2022)

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale. - Randy Ardywibowo; Rakesh Sunki; Shin Tsz Lucy Kuo; Sankalp Nayak (AAAI, 2025)