Yonghui Yang

According to our database, Yonghui Yang authored at least 42 papers between 2019 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

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

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

Controllable Value Alignment in Large Language Models through Neuron-Level Editing.

Yonghui Yang, Junwei Li, Jilong Liu, Yicheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua

CoRR, February, 2026

Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control.

Yonghui Yang, Wenjian Tao, Jilong Liu, Xingyu Zhu, Junfeng Fang, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua

CoRR, February, 2026

Who Transfers Safety? Identifying and Targeting Cross-Lingual Shared Safety Neurons.

Xianhui Zhang, Chengyu Xie, Linxia Zhu, Yonghui Yang, Weixiang Zhao, Zifeng Cheng, Cong Wang, Fei Shen, Tat-Seng Chua

CoRR, February, 2026

FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting.

Xiangyu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin J. L. Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang, Yang Zhang, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Xiaofen Xing, Xiangmin Xu, Tat-Seng Chua, Ke-Wei Huang

CoRR, January, 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

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

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation.

Yongfu Zha, Xinxin Dong, Haokai Ma, Yonghui Yang, Xiaodong Wang

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

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation.

Xingyu Zhu, Junfeng Fang, Shuo Wang, Beier Zhu, Zhicai Wang, Yonghui Yang, Xiangnan He

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

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation.

Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Richang Hong

CoRR, November, 2025

A Survey on Generative Recommendation: Data, Model, and Tasks.

Min Hou, Le Wu, Yuxin Liao, Yonghui Yang, Zhen Zhang, Changlong Zheng, Han Wu, Richang Hong

CoRR, October, 2025

Understanding Embedding Scaling in Collaborative Filtering.

Zhuangzhuang He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang

CoRR, September, 2025

Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

IEEE Trans. Big Data, June, 2025

Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation.

Zihan Wang, Yonghui Yang, Le Wu, Richang Hong, Meng Wang

IEEE Trans. Knowl. Data Eng., April, 2025

Less is More: Information Bottleneck Denoised Multimedia Recommendation.

Yonghui Yang, Le Wu, Zhuangzhuang He, Zhengwei Wu, Richang Hong, Meng Wang

CoRR, January, 2025

Understanding Embedding Scaling in Collaborative Filtering.

Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang

Trans. Mach. Learn. Res., 2025

Fair Personalized Learner Modeling Without Sensitive Attributes.

Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang

Proceedings of the ACM on Web Conference 2025, 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

Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective.

Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu

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

Hyperbolic Graph Learning for Social Recommendation.

Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang

IEEE Trans. Knowl. Data Eng., December, 2024

Boosting Multimedia Recommendation via Separate Generic and Unique Awareness.

Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu

CoRR, 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

Graph Bottlenecked Social Recommendation.

Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Double Correction Framework for Denoising Recommendation.

Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Fair Representations for Recommendation via Information Bottleneck Principle.

Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-interest Distribution Based Diversified Recommendation.

Shihai Liu, Yonghui Yang

Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023

Generative-Contrastive Graph Learning for Recommendation.

Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GoRec: A Generative Cold-start Recommendation Framework.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Self-Supervised Cross Domain Social Recommendation.

Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong

Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

Multi-Relational Cognitive Diagnosis for Intelligent Education.

Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization.

Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach.

Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation.

Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction.

Junmei Bao, Yangguang Ji, Yonghui Yang, Le Wu, Ruiji Fu

Proceedings of the Information Retrieval - 26th China Conference, 2020

2019

Personalized Multimedia Item and Key Frame Recommendation.

Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019