A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification. - Yupei Zhang; Shuangshuang Wei; Yifei Wang; Yunan Xu; Yuxin Li; Xuequn Shang 001 (IEEE Big Data, 2022)

Personalized Federated Contrastive Learning. - Yupei Zhang; Yunan Xu; Shuangshuang Wei; Yifei Wang; Yuxin Li; Xuequn Shang 001 (IEEE Big Data, 2022)

Interpretable Educational Recommendation: An Open Framework based on Bayesian Principal Component Analysis. - Yue Yun; Huan Dai; Yupei Zhang; Shuangshuang Wei; Xuequn Shang 001 (SMC, 2022)

Graph-regularized federated learning with shareable side information. - Yupei Zhang; Shuangshuang Wei; Shuhui Liu; Yifei Wang; Yunan Xu; Yuxin Li; Xuequn Shang 001 (Knowl. Based Syst., 2022)

Course-Graph Discovery from Academic Performance Using Nonnegative LassoNet. - Mengfei Liu; Shuangshuang Wei; Shuhui Liu; Xuequn Shang 001; Yupei Zhang (ICCSE (3), 2023)

Doubly contrastive representation learning for federated image recognition. - Yupei Zhang; Yunan Xu; Shuangshuang Wei; Yifei Wang; Yuxin Li; Xuequn Shang 001 (Pattern Recognit., 2023)

Integrating MBD with BOM for consistent data transformation during lifecycle synergetic decision-making of complex products. - Xin Zhao; Shuangshuang Wei; Shan Ren; Weihua Cai; Yingfeng Zhang (Adv. Eng. Informatics, 2024)

Federated learning-outcome prediction with multi-layer privacy protection. - Yupei Zhang; Yuxin Li; Yifei Wang; Shuangshuang Wei; Yunan Xu; Xuequn Shang 001 (Frontiers Comput. Sci., 2024)

Federated Discriminative Representation Learning for Image Classification. - Yupei Zhang; Yifei Wang; Yuxin Li; Yunan Xu; Shuangshuang Wei; Shuhui Liu; Xuequn Shang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)