| 2026 | AAAI | Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering. | Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong |
| 2026 | ACL | Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning. | Naixin Zhai, Pengyang Shao, Binbin Zheng, Yonghui Yang, Fei Shen, Long Bai, Xun Yang |
| 2026 | KDD | Multi-Agent Debate based Concept Augmentation for Enhanced Cognitive Diagnosis. | Pengyang Shao, Lei Chen, Fei Liu, Yonghui Yang, Xun Yang, Meng Wang |
| 2026 | WWW | BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. | Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang |
| 2025 | KDD | 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 |
| 2025 | WWW | Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis. | Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang |
| 2025 | SIGIR | Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. | Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang |
| 2023 | AAAI | Fair Representation Learning for Recommendation: A Mutual Information Perspective. | Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang |
| 2021 | WWW | Learning Fair Representations for Recommendation: A Graph-based Perspective. | Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang |