Pengyang Shao - RankMe

25 papers A* 5Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. WWW Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang
2026	J	`jnl`	BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. CoRR Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang
2026	J	`jnl`	CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation. CoRR Hao Zhan, Yihui Wang, Yonghui Yang, Danyang Yue, Yu Wang, Pengyang Shao, Fei Shen, Fei Liu, Le Wu
2026	A*	`conf`	Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering. AAAI Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2026	J	`jnl`	Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models. CoRR Enyi Shi, Pengyang Shao, Yanxin Zhang, Chenhang Cui, Jiayi Lyu, Xu Xie, Xiaobo Xia, Fei Shen, Tat-Seng Chua
2026	J	`jnl`	MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval. CoRR Fengbin Zhu, Zijing Cai, Yuzhe Wang, Pengyang Shao, Wenjie Wang, Fuli Feng, Richang Hong, Tat-Seng Chua
2026	J	`jnl`	Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning. CoRR Naixin Zhai, Pengyang Shao, Binbin Zheng, Yonghui Yang, Fei Shen, Long Bai, Xun Yang
2026	—	`conf`	Multi-Agent Debate based Concept Augmentation for Enhanced Cognitive Diagnosis. KDD (1) Pengyang Shao, Lei Chen, Fei Liu, Yonghui Yang, Xun Yang, Meng Wang
2026	J	`jnl`	wDPO: Winsorized Direct Preference Optimization for Robust LLM Alignment. CoRR Jilong Liu, Yonghui Yang, Pengyang Shao, Haokai Ma, Wei Qin, Richang Hong
2025	J	`jnl`	Breaking student-concept sparsity barrier for cognitive diagnosis. Frontiers Comput. Sci. Pengyang Shao, Kun Zhang, Chen Gao, Lei Chen, Miaomiao Cai, Le Wu, Yong Li, Meng Wang
2025	J	`jnl`	Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering. CoRR Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2025	—	`conf`	Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. KDD (1) Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang
2025	J	`jnl`	FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis. CoRR 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
2025	A*	`conf`	Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. SIGIR Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
2025	J	`jnl`	Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. CoRR Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang
2025	—	`conf`	Psychologically-Aware Retrieval-Augmented Generation for Coherent Role-Playing in LLMs. PRCV (4) Wang Xu, Pengyang Shao, Shan Zhao, Shezheng Song, Tianwei Yan, Chengyu Wang
2025	—	`conf`	Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis. WWW (Companion Volume) Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang
2024	J	`jnl`	Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang
2024	J	`jnl`	Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks. CoRR Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang
2023	A*	`conf`	Fair Representation Learning for Recommendation: A Mutual Information Perspective. AAAI Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang
2022	J	`jnl`	FairCF: fairness-aware collaborative filtering. Sci. China Inf. Sci. Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang
2021	—	`conf`	Graph-Based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction. CICAI Mengfan Liu, Pengyang Shao, Kun Zhang
2021	J	`jnl`	Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction. CoRR Mengfan Liu, Pengyang Shao, Kun Zhang
2021	J	`jnl`	Learning Fair Representations for Bipartite Graph based Recommendation. CoRR Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
2021	A*	`conf`	Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang