| 2025 | COLING | PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing. | Yiwen Duan, Yonghong Yu, Xiaoming Zhao, Yichang Wu, Wenbo Liu |
| 2025 | IJCNN | Enhanced U-Net Models with Hybrid Attention Elements for Medical Image Segmentation. | Piyushkumar Banugariya, Li Zhang, Yonghong Yu, Vivian Sedov |
| 2024 | DASFAA | Hyperbolic Adversarial Learning for Personalized Item Recommendation. | Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin |
| 2022 | DASFAA | Hyperbolic Personalized Tag Recommendation. | Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin |
| 2022 | IJCNN | Human Action Recognition Using Hybrid Deep Evolving Neural Networks. | Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao |
| 2022 | IJCNN | Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. | Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye |
| 2021 | IJCNN | Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification. | Conor Wall, Li Zhang, Yonghong Yu, Kamlesh Mistry |
| 2020 | DASFAA | Neural Pairwise Ranking Factorization Machine for Item Recommendation. | Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin |
| 2020 | IJCNN | Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm. | Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Li Zhang, Rong Gao, Haiyan Gao |
| 2020 | IJCNN | TRec: Sequential Recommender Based On Latent Item Trend Information. | Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu |
| 2019 | ADMA | A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics. | Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi, Yonghong Yu |
| 2019 | IJCNN | Integrating Social Circles and Network Representation Learning for Item Recommendation. | Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu |
| 2018 | WISE | Geographical Proximity Boosted Recommendation Algorithms for Real Estate. | Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang |
| 2017 | PAKDD | Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. | Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao |
| 2016 | WISE | Joint User Knowledge and Matrix Factorization for Recommender Systems. | Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang |
| 2013 | PAKDD | A Coupled Clustering Approach for Items Recommendation. | Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen |
| 2013 | PAKDD | Erratum: A Coupled Clustering Approach for Items Recommendation. | Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen |