Zhijie Lin

According to our database, Zhijie Lin authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Conic Hull Fitting-Based Dictionary Matrix Learning for Nonnegative Matrix Factorization.

Zhijie Lin, Zhaoshui He, Hao Liang, Wenqing Su, Beihai Tan, Ji Tan

IEEE Trans. Syst. Man Cybern. Syst., May, 2026

Geometric Matching Network With Generative Pre-Training Transformer for 3-D Object Tracking.

Hao Liang, Zhaoshui He, Wenqing Su, Ji Tan, Zhijie Lin, Beihai Tan, Shengli Xie

IEEE Trans Autom. Sci. Eng., 2026

RAIFE-Net: A Region-Aware Implicit Feature Extraction Network for Acupoint Detection.

Zihang He, Zhaoshui He, Jing Guo, Xu Wang, Zhijie Lin, Hao Liang, Liqiang Zhang, Xingfang Pan, Lianqi Geng

IEEE Internet Things J., 2026

2025

Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images.

Zhijie Lin, Zhaoshui He, Xu Wang, Wenqing Su, Ji Tan, Yamei Deng, Shengli Xie

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Adaptive RoI-aware network for accurate banknote recognition using natural images.

Zhijie Lin, Zhaoshui He, Jing Wang, Xu Wang, Wenqing Su, Peitao Wang, Hao Liang

Soft Comput., April, 2025

A Collaborative Learning Framework With Coupling Graph Transformers for 3D Tooth Segmentation.

Zhijie Lin, Zhaoshui He, Chang Liu, Hao Liang, Wenqing Su, Ji Tan, Jing Guo

IEEE Trans. Multim., 2025

PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals.

Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Wenqing Su, Beihai Tan, Shengli Xie

IEEE Trans. Instrum. Meas., 2025

2024

An Adaptive Image Segmentation Network for Surface Defect Detection.

Taiheng Liu, Zhaoshui He, Zhijie Lin, Guang-Zhong Cao, Wenqing Su, Shengli Xie

IEEE Trans. Neural Networks Learn. Syst., June, 2024

DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation.

Zhijie Lin, Zhaoshui He, Xu Wang, Bing Zhang, Chang Liu, Wenqing Su, Ji Tan, Shengli Xie

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images.

Zhijie Lin, Zhaoshui He, Ruoyu Yao, Xu Wang, Taiheng Liu, Yamei Deng, Shengli Xie

IEEE Trans. Artif. Intell., January, 2024

Accelerating Robust-Object-Tracking via Level-3 BLAS-Based Sparse Learning.

Zhaoshui He, Hao Liang, Senquan Yang, Wenqing Su, Peitao Wang, Zhijie Lin, Beihai Tan, Shengli Xie

IEEE Trans. Circuits Syst. Video Technol., 2024

Cross-Scale Hybrid Gaussian Attention Network for Object Detection in Remote Sensing Images.

Zhijie Lin, Zhaoshui He, Xu Wang, Hao Liang, Wenqing Su, Ji Tan, Shengli Xie

IEEE Geosci. Remote. Sens. Lett., 2024

2023

CGA-UNet: Category-Guide Attention U-Net for Dental Abnormality Detection and Segmentation From Dental-Maxillofacial Images.

Xu Wang, Zhaoshui He, Chang Liu, Bing Zhang, Zhijie Lin, Jing Guo, Shengli Xie

IEEE Trans. Instrum. Meas., 2023

Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction.

Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Wenqing Su, Shengli Xie

IEEE Trans. Instrum. Meas., 2023

2022

PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection.

Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Taiheng Liu, Jun Lu, Shengli Xie

IEEE Trans. Instrum. Meas., 2022

An attention-based network for serial number recognition on banknotes.

Zhijie Lin, Zhaoshui He, Beihai Tan, Yijiang Shen, Peitao Wang, Taiheng Liu

Signal Process. Image Commun., 2022

2021

AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.

Zhijie Lin, Zhaoshui He, Shengli Xie, Xu Wang, Ji Tan, Jun Lu, Beihai Tan

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

An Accelerated Symmetric Nonnegative Matrix Factorization Algorithm Using Extrapolation.

Peitao Wang, Zhaoshui He, Jun Lu, Beihai Tan, YuLei Bai, Ji Tan, Taiheng Liu, Zhijie Lin

Symmetry, 2020

SNRNet: A Deep Learning-Based Network for Banknote Serial Number Recognition.

Zhijie Lin, Zhaoshui He, Peitao Wang, Beihai Tan, Jun Lu, YuLei Bai

Neural Process. Lett., 2020