NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators. - Zhihang Yuan; Jingze Liu; Xingchen Li; Longhao Yan; Haoxiang Chen 003; Bingzhe Wu; Yuchao Yang 001; Guangyu Sun 003 (Sci. China Inf. Sci., 2021)

Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks. - Ying Xing; Yu Guan; Bin Yang 038; Jingze Liu (PRCV (2), 2022)

On Generalization and Computation of Tukey's Depth: Part I. - Yiyuan She; Shao Tang; Jingze Liu (J. Data Sci. Stat. Vis., 2022)

On Generalization and Computation of Tukey's Depth: Part II. - Yiyuan She; Shao Tang; Jingze Liu (J. Data Sci. Stat. Vis., 2022)

A Fine-grained Biometric Image Recognition Method Based on Transformer. - Ying Xing; Yu Guan; Bin Yang 038; Jingze Liu; Ze Chen; Man Zhang 005 (ICCIP, 2023)

Alleviating data insufficiency for Chinese sign language recognition. - Wanli Xue; Jingze Liu; Siyi Yan; Yuxi Zhou; Tiantian Yuan; Qing Guo 005 (Vis. Intell., 2023)

Research on regional terrestrial carbon storage based on the pattern-process-function. - Yuepeng Zhai; Guoqing Zhai; Yanmei Chen; Jingze Liu (Ecol. Informatics, 2024)

TB-Net: Intra- and inter-video correlation learning for continuous sign language recognition. - Jingze Liu; Wanli Xue; Kaihua Zhang 001; Tiantian Yuan; Shengyong Chen (Inf. Fusion, 2024)

PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network. - Jing Meng; Jingze Liu; Wenkai Song; Honglei Li; Jiangyuan Wang; Le Zhang 004; Yousong Peng; Aiping Wu; Taijiao Jiang (Briefings Bioinform., 2024)

Influenza virus reassortment patterns exhibit preference and continuity while uncovering cross-species transmission events. - Xiao Ding; Yun Ma 016; Shicheng Li; Jingze Liu; Luyao Qin; Aiping Wu (Briefings Bioinform., 2025)

PREDAC-FluB: predicting antigenic clusters of seasonal influenza B viruses with protein language model embedding based convolutional neural network. - Wenping Xie; Jingze Liu; Chuan Wang; Jiangyuan Wang; Wenjie Han; Yousong Peng; Xiangjun Du; Jing Meng; Kang Ning 001; Taijiao Jiang (Briefings Bioinform., 2025)

TransSSVs: a Transformer-based deep learning model for accurate detection of somatic small variants in paired tumor and normal sequencing data. - Jing Meng; Jiangyuan Wang; Jingze Liu; Wenkai Song; Ming Li; Aiping Wu; Taijiao Jiang (Appl. Intell., 2025)