Demixed Sparse Principal Component Analysis Through Hybrid Structural Regularizers. - Yan Zhang 100; Haoqing Xu (IEEE Access, 2021)

A Difference Standardization Method for Mutual Transfer Learning. - Haoqing Xu; Meng Wang; Beilun Wang (ICML, 2022)

Prediction of Key Metrics of Stacked Nanosheet nFETs using Genetic Algorithm-based Neural Networks. - Haoqing Xu; Weizhuo Gan; Lei Cao; Huaxiang Yin; Zhenhua Wu (ICTA, 2022)

Fast and scalable learning of sparse changes in high-dimensional graphical model structure. - Beilun Wang; Jiaqi Zhang; Haoqing Xu; Te Tao (Neurocomputing, 2022)

TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system. - Beilun Wang; Haoqing Xu; Chunshu Li; Yuchen Li 011; Meng Wang (Knowl. Based Syst., 2022)

Investigation on dependency of thermal characteristics on gate/drain bias voltages in stacked nanosheet transistors. - Peng Zhao; Lei Cao; Fan Zhang; Haoqing Xu; Weizhuo Gan; Qingzhu Zhang; Zhaohao Zhang; Jiaxin Yao; Guoliang Tian; Kun Luo; Zhenhua Wu; Huaxiang Yin (Microelectron. J., 2023)

Adaptive Group Personalization for Federated Mutual Transfer Learning. - Haoqing Xu; Dian Shen; Meng Wang 009; Beilun Wang (ICML, 2024)