Template attacks based on static power analysis of block ciphers in 45-nm CMOS environment. - Jiming Xu; Howard M. Heys (MWSCAS, 2017)

Template Attacks of a Masked S-Box Circuit: A Comparison Between Static and Dynamic Power Analyses. - Jiming Xu; Howard M. Heys (NEWCAS, 2018)

Using deep learning to combine static and dynamic power analyses of cryptographic circuits. - Jiming Xu; Howard M. Heys (Int. J. Circuit Theory Appl., 2019)

Kernel-based template attacks of cryptographic circuits using static power. - Jiming Xu; Howard M. Heys (Integr., 2019)

Accelerating Multi-Scalar Multiplication for Efficient Zero Knowledge Proofs with Multi-GPU Systems. - Zhuoran Ji; Zhiyuan Zhang 008; Jiming Xu; Lei Ju 001 (ASPLOS (3), 2024)

FHE-CGRA: Enable Efficient Acceleration of Fully Homomorphic Encryption on CGRAs. - Miaomiao Jiang; Yilan Zhu; Honghui You; Cheng Tan 002; Zhaoying Li; Jiming Xu; Lei Ju 001 (DAC, 2024)

A Compiler-Like Framework for Optimizing Cryptographic Big Integer Multiplication on GPUs. - Zhuoran Ji; Jianyu Zhao; Zhaorui Zhang; Jiming Xu; Shoumeng Yan; Lei Ju 001 (MICRO, 2024)

POSTER: Accelerating High-Precision Integer Multiplication used in Cryptosystems with GPUs. - Zhuoran Ji; Zhaorui Zhang; Jiming Xu; Lei Ju 001 (PPoPP, 2024)

A model developed by machine learning and principal component analysis for predicting bronchiolitis obliterans syndrome after allogeneic HSCT in a Chinese population with hematologic malignancies. - Jia Chen; Lingyi Yang; Chao Liu; Lian Bai; Xiaoli Li; Jun Chen; Yanming Zhang; Yang Xu; Yi Fan; Yuqing Tu; Mimi Xu; Lingfeng Li; et al. (Comput. Biol. Medicine, 2025)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning. - Danni Peng; Yuan Wang 008; Kangning Cai; Peiyan Ning; Jiming Xu; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei; Huazhu Fu (CoRR, 2025)

DAHE: Parameter-Adaptive and Memory Efficient FPGA Acceleration of Homomorphic Encryption. - Yilan Zhu; Honghui You; Wei Zhang 173; Jiming Xu; Qian Lou; Shoumeng Yan; Lei Ju 001 (IEEE Trans. Computers, 2025)

A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital. - Xiaomeng Lin; Chao Liu; Huaiyu Wang; Xiaohui Fan; Linfeng Li; Jiming Xu; Changlin Li; Yao Wang; Xudong Cai; Xin Peng (BMC Medical Informatics Decis. Mak., 2025)