Pengyang Shao

According to our database, Pengyang Shao authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Breaking student-concept sparsity barrier for cognitive diagnosis.

Pengyang Shao, Kun Zhang, Chen Gao, Lei Chen, Miaomiao Cai, Le Wu, Yong Li, Meng Wang

Frontiers Comput. Sci., November, 2025

Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis.

Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning.

Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education.

Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Average User-Side Counterfactual Fairness for Collaborative Filtering.

Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang

ACM Trans. Inf. Syst., September, 2024

Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks.

Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang

CoRR, 2024

2023

Fair Representation Learning for Recommendation: A Mutual Information Perspective.

Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

FairCF: fairness-aware collaborative filtering.

Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang

Sci. China Inf. Sci., 2022

2021

Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction.

Mengfan Liu, Pengyang Shao, Kun Zhang

CoRR, 2021

Learning Fair Representations for Bipartite Graph based Recommendation.

Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

CoRR, 2021

Learning Fair Representations for Recommendation: A Graph-based Perspective.

Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph-Based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction.

Mengfan Liu, Pengyang Shao, Kun Zhang

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021