Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. - Rui Liu 013; Wei Cheng 002; Hanghang Tong; Wei Wang 010; Xiang Zhang 001 (ICDM, 2015)

An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning. - Rui Liu 013; Soumya Ray (ICDM, 2017)

A Bandit Approach to Maximum Inner Product Search. - Rui Liu 013; Tianyi Wu; Barzan Mozafari (AAAI, 2019)

Adam with Bandit Sampling for Deep Learning. - Rui Liu 013; Tianyi Wu; Barzan Mozafari (NeurIPS, 2020)

Rankboost+: an improvement to Rankboost. - Harold S. Connamacher; Nikil Pancha; Rui Liu 013; Soumya Ray (Mach. Learn., 2020)

Transformer with Memory Replay. - Rui Liu 013; Barzan Mozafari (AAAI, 2022)

Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. - Rui Liu 013; Young Jin Kim 001; Alexandre Muzio; Hany Hassan (ICML, 2022)

Communication-efficient Distributed Learning for Large Batch Optimization. - Rui Liu 013; Barzan Mozafari (ICML, 2022)

Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers. - Rui Liu 013; Young Jin Kim 001; Alexandre Muzio; Barzan Mozafari; Hany Hassan Awadalla (CoRR, 2022)

Sequential Decision Making for Large Scale Machine Learning - Rui Liu 013 (2023)