Jingze Liu

According to our database, Jingze Liu authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 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, Taijiao Jiang

Briefings Bioinform., 2025

Influenza virus reassortment patterns exhibit preference and continuity while uncovering cross-species transmission events.

Xiao Ding, Yun Ma, Shicheng Li, Jingze Liu, Luyao Qin, Aiping Wu

Briefings Bioinform., 2025

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, Yousong Peng, Aiping Wu, Taijiao Jiang

Briefings Bioinform., January, 2024

TB-Net: Intra- and inter-video correlation learning for continuous sign language recognition.

Jingze Liu, Wanli Xue, Kaihua Zhang, Tiantian Yuan, Shengyong Chen

Inf. Fusion, 2024

Research on regional terrestrial carbon storage based on the pattern-process-function.

Yuepeng Zhai, Guoqing Zhai, Yanmei Chen, Jingze Liu

Ecol. Informatics, 2024

2023

Alleviating data insufficiency for Chinese sign language recognition.

Wanli Xue, Jingze Liu, Siyi Yan, Yuxi Zhou, Tiantian Yuan, Qing Guo

Vis. Intell., 2023

A Fine-grained Biometric Image Recognition Method Based on Transformer.

Ying Xing, Yu Guan, Bin Yang, Jingze Liu, Ze Chen, Man Zhang

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

2022

On Generalization and Computation of Tukey's Depth: Part II.

Yiyuan She, Shao Tang, Jingze Liu

J. Data Sci. Stat. Vis., 2022

On Generalization and Computation of Tukey's Depth: Part I.

Yiyuan She, Shao Tang, Jingze Liu

J. Data Sci. Stat. Vis., 2022

Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks.

Ying Xing, Yu Guan, Bin Yang, Jingze Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators.

Zhihang Yuan, Jingze Liu, Xingchen Li, Longhao Yan, Haoxiang Chen, Bingzhe Wu, Yuchao Yang, Guangyu Sun

Sci. China Inf. Sci., 2021