Chunpai Wang

According to our database, Chunpai Wang authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments.

Chunpai Wang, Shaghayegh Sahebi

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Block-Structured Optimization for Subgraph Detection in Interdependent Networks.

Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu

CoRR, 2022

Proximity-Based Educational Recommendations: A Multi-Objective Framework.

Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Transition-Aware Multi-Activity Knowledge Tracing.

Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi

Proceedings of the IEEE International Conference on Big Data, 2022

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs.

Chunpai Wang, Daniel B. Neill, Feng Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data.

Chunpai Wang, Shaghayegh Sahebi, Helma Torkamaan

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization.

Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

MOCHI: an Offline Evaluation Framework for Educational Recommendations.

Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing.

Chunpai Wang, Siqian Zhao, Shaghayegh Sahebi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization.

Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu

IEEE Access, 2020

Modeling Knowledge Acquisition from Multiple Learning Resource Types.

Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks.

Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

Collective subjective logic: Scalable uncertainty-based opinion inference.

Feng Chen, Chunpai Wang, Jin-Hee Cho

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017