Virtual Sample Generation and Ensemble Learning Based Image Source Identification With Small Training Samples. - Shiqi Wu; Bo Wang 024; Jianxiang Zhao; Mengnan Zhao; Kun Zhong; Yanqing Guo (Int. J. Digit. Crime Forensics, 2021)

Privacy-Preserving Model Aggregation for Asynchronous Federated Learning. - Jianxiang Zhao; Xiangman Li; Jianbing Ni (ICCC, 2023)

Enhancing Functional Data Analysis with Sequential Neural Networks: Advantages and Comparative Study. - Jianxiang Zhao; Jingjing Li; Minghan Chen; Sneha Jadhav (CoRR, 2023)

DeepGO-ESM: Improving the Protein Function Prediction of DeepGraphGO via the Evolutionary Scale Modeling Framework. - Jianxiang Zhao; Jiangyi Shao (ICIC (26), 2025)

Dual-Region Consistency Learning With Contrastive Refinement for Semi-Supervised Medical Image Segmentation. - Junmei Sun; Meixi Wang; Jianxiang Zhao; Defu Yang; Huang Bai; Xiumei Li (Int. J. Imaging Syst. Technol., 2025)

GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction. - Guanyuan Pan; Tiansheng Zhou; Bingtao Ma; Yaqi Wang 002; Jianxiang Zhao; Shuai Wang 003 (CoRR, 2025)