| 2026 | AAAI | 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 |
| 2026 | ACL | PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning. | ZhiYan Hou, Haiyun Guo, Haokai Ma, Yandu Sun, Yonghui Yang, Jinqiao Wang |
| 2026 | ACL | 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 |
| 2026 | ACL | Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation. | Xingyu Zhu, Junfeng Fang, Shuo Wang, Beier Zhu, Zhicai Wang, Yonghui Yang, Xiangnan He |
| 2026 | KDD | Multi-Agent Debate based Concept Augmentation for Enhanced Cognitive Diagnosis. | Pengyang Shao, Lei Chen, Fei Liu, Yonghui Yang, Xun Yang, Meng Wang |
| 2026 | KDD | 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 |
| 2026 | WWW | 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 |
| 2026 | SIGIR | Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation. | Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Fei Liu, Richang Hong |
| 2025 | KDD | 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 |
| 2025 | WWW | Semantic-tailored Variational-Contrastive Graph Learning for Cognitive Diagnosis. | Chenao Xia, Fei Liu, Zihan Wang, Zhuangzhuang He, Pengyang Shao, Haowei Zhou, Yonghui Yang |
| 2025 | WWW | Fair Personalized Learner Modeling Without Sensitive Attributes. | Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang |
| 2025 | SIGIR | Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. | Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu |
| 2025 | SIGIR | Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. | Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang |
| 2024 | IJCAI | Learning Fair Representations for Recommendation via Information Bottleneck Principle. | Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu |
| 2024 | KDD | Double Correction Framework for Denoising Recommendation. | Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang |
| 2024 | KDD | Graph Bottlenecked Social Recommendation. | Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang |
| 2023 | SIGIR | Generative-Contrastive Graph Learning for Recommendation. | Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2021 | QRS | Software Test Data Reuse Based on Domain Ontology Construction. | Chi Hu, Siyou Ma, Wansheng Yang, Zhe Sun, Fei Deng, Yonghui Yang |
| 2021 | QRS | ADVRET: An Adversarial Robustness Evaluating and Testing Platform for Deep Learning Models. | Fei Ren, Yonghui Yang, Chi Hu, Yuyao Zhou, Siyou Ma |
| 2021 | SIGIR | Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. | Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | SIGIR | Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. | Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang |
| 2020 | SIGIR | Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. | Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang |
| 2019 | IJCAI | Personalized Multimedia Item and Key Frame Recommendation. | Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang |
| 2019 | QRS | A Fault Localization Method Based on Conditional Probability. | Yonghui Yang, Fei Deng, Yunqiang Yan, Feng Gao |
| 2008 | ICNC | Multispectral Land Cover Classification Using Averaged Learning Subspace Method. | Huilong Li, Yonghui Yang, Hasi Bagan |