Collective subjective logic: Scalable uncertainty-based opinion inference. - Feng Chen 001; Chunpai Wang; Jin-Hee Cho (IEEE BigData, 2017)

Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. - Fei Jie; Chunpai Wang; Feng Chen 001; Lei Li 002; Xindong Wu 001 (ICDM, 2019)

Modeling Knowledge Acquisition from Multiple Learning Resource Types. - Siqian Zhao; Chunpai Wang; Shaghayegh Sahebi (EDM, 2020)

A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization. - Fei Jie; Chunpai Wang; Feng Chen 001; Lei Li 002; Xindong Wu 001 (IEEE Access, 2020)

Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing. - Chunpai Wang; Siqian Zhao; Shaghayegh Sahebi (EDM, 2021)

MOCHI: an Offline Evaluation Framework for Educational Recommendations. - Chunpai Wang; Shaghayegh Sahebi; Peter Brusilovsky (Perspectives@RecSys, 2021)

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. - Chunpai Wang; Shaghayegh Sahebi; Siqian Zhao; Peter Brusilovsky; Laura Oliveira Moraes (UMAP, 2021)

STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data. - Chunpai Wang; Shaghayegh Sahebi; Helma Torkamaan (WI/IAT, 2021)

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. - Chunpai Wang; Daniel B. Neill; Feng Chen 001 (AAAI, 2022)

Transition-Aware Multi-Activity Knowledge Tracing. - Siqian Zhao; Chunpai Wang; Shaghayegh Sahebi (IEEE Big Data, 2022)

Proximity-Based Educational Recommendations: A Multi-Objective Framework. - Chunpai Wang; Shaghayegh Sahebi; Peter Brusilovsky (MORS@RecSys, 2022)

Block-Structured Optimization for Subgraph Detection in Interdependent Networks. - Fei Jie; Chunpai Wang; Feng Chen 001; Lei Li 002; Xindong Wu 001 (CoRR, 2022)

Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments. - Chunpai Wang; Shaghayegh Sahebi (CIKM, 2023)