Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model. - Yaqin Chen; Ling Lin 003; Gang Li 002; Jianming Gao; Qilian Yu (ISNN (1), 2004)

Use of Artificial Neural Networks in Near-Infrared Spectroscopy Calibrations for Predicting Glucose Concentration in Urine. - Weiling Liu; Weidong Yang; Libing Liu; Qilian Yu (ICIC (1), 2008)

On the puncturing patterns for punctured polar codes. - Liang Zhang 004; Zhaoyang Zhang 001; Xianbin Wang 002; Qilian Yu; Yan Chen 010 (ISIT, 2014)

Submodular maximization with multi-knapsack constraints and its applications in scientific literature recommendations. - Qilian Yu; Easton Li Xu; Shuguang Cui (GlobalSIP, 2016)

Streaming Algorithms for News and Scientific Literature Recommendation: Submodular Maximization with a d-Knapsack Constraint. - Qilian Yu; Easton Li Xu; Shuguang Cui (CoRR, 2016)

Feature Selection with Interactions in Logistic Regression Models using Multivariate Synergies for a GWAS Application. - Easton Li Xu; Xiaoning Qian; Qilian Yu; Han Zhang 006; Shuguang Cui (BCB, 2017)

Presently Untitled: Data Mapping of 2016 U.S. Presidential Election Twitter Activity, Phase III. - Jiayi Young; Weidong Yang; Shih-Wen Young; Qilian Yu (ACM Multimedia, 2017)

Streaming Influence Maximization in Social Networks Based on Multi-Action Credit Distribution. - Qilian Yu; Hang Li 003; Yun Liao; Shuguang Cui (ICASSP, 2018)

Fast Budgeted Influence Maximization Over Multi-Action Event Logs. - Qilian Yu; Hang Li 003; Yun Liao; Shuguang Cui (IEEE Access, 2018)

Streaming Algorithms for News and Scientific Literature Recommendation: Monotone Submodular Maximization With a $d$ -Knapsack Constraint. - Qilian Yu; Easton Li Xu; Shuguang Cui (IEEE Access, 2018)

A recommender system for heterogeneous and time sensitive environment. - Meng Wu; Ying Zhu; Qilian Yu; Bhargav Rajendra; Yunqi Zhao; Navid Aghdaie; Kazi A. Zaman (RecSys, 2019)