Yonghui Yang

Yonghui Yang

Hefei University of Technology (HFUT)

💻 Selected Research Papers

† co-first author, * corresponding author

My full paper list can also be found at Google Scholar.

Preprint Papers

  • ArXiv 2026 Jilong Liu, Yonghui Yang*, Pengyang Shao, Haokai Ma, Wei Qin, Richang Hong. wDPO: Winsorized Direct Preference Optimization for Robust LLM Alignment. [Paper]
  • ArXiv 2026 Hao Zhan, Yihui Wang, Yonghui Yang*, Danyang Yue, Yu Wang, Pengyang Shao, Fei Shen, Fei Liu, Le Wu. CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation. [Paper]
  • ArXiv 2026 Yonghui Yang, Wenjian Tao, Jilong Liu, Xingyu Zhu, Junfeng Fang, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua. Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control. [Paper]
  • ArXiv 2026 Yonghui Yang, Junwei Li, Jilong Liu, Yicheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua. Controllable Value Alignment in Large Language Models through Neuron-Level Editing. [Paper]
  • ArXiv 2025 Yonghui Yang, Le Wu, Zhuangzhuang He, Zhengwei Wu, Richang Hong, Meng Wang. Less is More: Information Bottleneck Denoised Multimedia Recommendation. [Paper]
  • ArXiv 2025

LLM Safety and LLM4Rec

  • SIGIR 2026Yu Wang, Yonghui Yang*, Le Wu, Yi Zhang, Richang Hong. Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation. [Paper] [Code]
  • CVPR 2026 Yicheng He, Chengsong Huang, Zongxia Li, Jiaxin Huang, Yonghui Yang*. VisPlay: Self-Evolving Vision-Language Models from Images. [Paper] [Code]
  • WWW 2026 Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang. BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning. [Paper] [Code]

Trustworthy Recommendation

  • TKDE Junsong Xie, Yonghui Yang, Shaopeng Yang, Le Wu. Sharpness-Aware Poisoning: Enhancing Transferability of Injective Attacks on Recommender Systems.
  • SIGIR 2025 Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang shao, Richang Hong, Meng Wang. Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. [Paper] [Code]
  • KDD 2025 Pengyang Shao†, Yonghui Yang†, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Meng Wang. Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. [Paper] [Code]
  • KDD 2024 Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang. Graph Bottlenecked Social Recommendation. [Paper] [Code]
  • IJCAI 2024 Junsong Xie†, Yonghui Yang†, Zihan Wang, Le Wu. Learning Fair Representations for Recommendation via Information Bottleneck Principle. [Paper] [Code]

Data-Centric Recommendation

  • TMLR 2025 Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang*. Understanding Embedding Scaling in Collaborative Filtering. [Paper]
  • TKDE 2025 Zihan Wang, Yonghui Yang*, Le Wu *, Richang Hong, Meng Wang. Making Non-overlapping Matters: An Unsupervised Alignment enhanced Cross-Domain Cold-Start Recommendation.[Paper] [Code]
  • TKDE 2024 Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang. Hyperbolic Graph Learning for Social Recommendation. [Paper] [Code]
  • SIGIR 2023 Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang. Generative-Contrastive Graph Learning for Recommendation. [Paper] [Code]
  • SIGIR 2021 Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang. Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. [Paper] [Code]
  • SIGIR 2020 Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang. Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. [Paper] [Code]
  • SIGIR 2020 Le Wu, Yonghui Yang, Lei Chen, Richang Hong, Meng Wang. Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. [Paper]