An app usage recommender system: improving prediction accuracy for both warm and cold start users. - Di Han 002; Jianqing Li 001; Wenting Li; Ruibin Liu; Hai Chen (Multim. Syst., 2019)

Age-specific optimization of T1-weighted brain MRI throughout infancy. - Hongxi Zhang; Can Lai; Ruibin Liu; Tingting Liu; Weiming Niu; Kenichi Oishi; Yi Zhang 080; Dan Wu (NeuroImage, 2019)

Structure-Kinetics Relationships of Opioids from Metadynamics and Machine Learning Analysis. - Paween Mahinthichaichan; Ruibin Liu; Quynh N. Vo; Christopher R. Ellis; Lidiya Stavitskaya; Jana Shen (J. Chem. Inf. Model., 2023)

Analysis of the ERK Pathway Cysteinome for Targeted Covalent Inhibition of RAF and MEK Kinases. - Aarion Romany; Ruibin Liu; Shaoqi Zhan; Joseph Clayton; Jana Shen (J. Chem. Inf. Model., 2023)

Quantum Descriptors for Predicting and Understanding the Structure-Activity Relationships of Michael Acceptor Warheads. - Ruibin Liu; Erik Antonio Vázquez-Montelongo; Shuhua Ma; Jana Shen (J. Chem. Inf. Model., 2023)

ASFM-AFD: Multimodal Fusion of AFD-Optimized LiDAR and Camera Data for Paper Defect Detection. - Xuanfeng Li; Haining He; Jiahong Huang; Ruibin Liu; Tao Qian 001; Chitin Hon (IEEE Trans. Instrum. Meas., 2025)

Enhancing the Interpretation of Spirometry: Joint Utilization of n-Order Adaptive Fourier Decomposition and Deep Learning Techniques. - Xuanfeng Li; Yuxi Lin; Wei He; Ruibin Liu; Arlindo L. Oliveira; Tao Qian 001; Jinping Zheng; Chitin Hon (IEEE Trans. Instrum. Meas., 2025)