Pengyang Shao

According to our database, Pengyang Shao authored at least 25 papers between 2021 and 2026.

Collaborative distances:

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

2026

Sharpness-Aware Poisoning: Enhancing Transferability of Injective Attacks on Recommender Systems.

Junsong Xie, Yonghui Yang, Pengyang Shao, Le Wu

IEEE Trans. Knowl. Data Eng., July, 2026

Privacy Matters: Data Attack to Make User Preferences Unlearnable in Recommendation.

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

ACM Trans. Inf. Syst., May, 2026

StressWeb: A Diagnostic Benchmark for Web Agent Robustness under Realistic Interaction Variability.

Haoyue Bai, Dong Wang, Long Chen, Bingguang Hao, Pengyang Shao, Yonghui Yang, Yicheng He, Chenyi Zhuang

CoRR, April, 2026

Precise Shield: Explaining and Aligning VLLM Safety via Neuron-Level Guidance.

Enyi Shi, Fei Shen, Shuyi Miao, Linxia Zhu, Pengyang Shao, Jinhui Tang, Tat-Seng Chua

CoRR, April, 2026

wDPO: Winsorized Direct Preference Optimization for Robust LLM Alignment.

Jilong Liu, Yonghui Yang, Pengyang Shao, Haokai Ma, Wei Qin, Richang Hong

CoRR, March, 2026

CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation.

Hao Zhan, Yihui Wang, Yonghui Yang, Danyang Yue, Yu Wang, Pengyang Shao, Fei Shen, Fei Liu, Le Wu

CoRR, March, 2026

Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models.

Enyi Shi, Pengyang Shao, Yanxin Zhang, Chenhang Cui, Jiayi Lyu, Xu Xie, Xiaobo Xia, Fei Shen, Tat-Seng Chua

CoRR, January, 2026

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, 2026

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, 2026

Multi-Agent Debate based Concept Augmentation for Enhanced Cognitive Diagnosis.

Pengyang Shao, Lei Chen, Fei Liu, Yonghui Yang, Xun Yang, Meng Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis.

Fengbin Zhu, Xiang Yao Ng, Ziyang Liu, Chang Liu, Xianwei Zeng, Chao Wang, Tianhui Tan, Xuan Yao, Pengyang Shao, Min Xu, Zixuan Wang, Jing Wang, Xin Li, Junfeng Li, Jingxian Zhu, Yang Zhang, Wenjie Wang, Fuli Feng, Richang Hong, Huanbo Luan, Ke-Wei Huang, Tat-Seng Chua

CoRR, October, 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

Psychologically-Aware Retrieval-Augmented Generation for Coherent Role-Playing in LLMs.

Wang Xu, Pengyang Shao, Shan Zhao, Shezheng Song, Tianwei Yan, Chengyu Wang

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 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

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