Pengyang Shao

2026

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Privacy Matters: Data Attack to Make User Preferences Unlearnable in Recommendation.
Pengyang Shao|Le Wu|Kun Zhang|Lei Chen|Meng Wang
ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 4
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MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval.
Fengbin Zhu|Zijing Cai|Yuzhe Wang|Pengyang Shao|Wenjie Wang|Fuli Feng|Richang Hong|Tat-Seng Chua
Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026
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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
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

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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, SIGIR 2025, Padua, Italy, July 13-18, 2025
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Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis.
Chenao Xia|Fei Liu|Zihan Wang|Zhuangzhuang He|Pengyang Shao|Haowei Zhou|Yonghui Yang
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

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Average User-Side Counterfactual Fairness for Collaborative Filtering.
Pengyang Shao|Le Wu|Kun Zhang|Defu Lian|Richang Hong|Yong Li|Meng Wang
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 5

2021

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Learning Fair Representations for Recommendation: A Graph-based Perspective.
Le Wu|Lei Chen|Pengyang Shao|Richang Hong|Xiting Wang|Meng Wang
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.