Hon Ho Yu

According to our database, Hon Ho Yu authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Simultaneous Segmentation and Classification of Esophageal Lesions Using Attention Gating Pyramid Vision Transformer.

Peixuan Ge, Tao Yan, Pak Kin Wong, Zheng Li, In Neng Chan, Hon Ho Yu, Chon In Chan, Liang Yao, Ying Hu, Shan Gao

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

FastUGI-Net: Enhanced Real-Time Endoscopic Diagnosis with Efficient Multi-task Learning.

In Neng Chan, Pak-Kin Wong, Tao Yan, Yanyan Hu, Chon In Chan, Peixuan Ge, Zheng Li, Ying Hu, Shan Gao, Hon Ho Yu

Expert Syst. Appl., 2025

Lightweight Deep Learning for Real-Time Multi-Task Analysis of Upper Endoscopic Videos.

In Neng Chan, Pak-Kin Wong, Yeying Qin, Chon In Chan, Hon Ho Yu, Cheok I Chan, Pui Pun Chan

Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering, 2025

2024

Nature-Inspired Bubble Magnetic Microrobots for Multimode Locomotion, Cargo delivery, Imaging, and Biosensing.

Zichen Xu, Qingsong Xu, Hon Ho Yu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images.

Suigu Tang, Xiaoyuan Yu, Chak-Fong Cheang, Yanyan Liang, Penghui Zhao, Hon Ho Yu, I. Cheong Choi

Comput. Biol. Medicine, May, 2023

CLELNet: A continual learning network for esophageal lesion analysis on endoscopic images.

Suigu Tang, Xiaoyuan Yu, Chak-Fong Cheang, Xiaoyu Ji, Hon Ho Yu, I. Cheong Choi

Comput. Methods Programs Biomed., April, 2023

2022

Multi-Task Model for Esophageal Lesion Analysis Using Endoscopic Images: Classification with Image Retrieval and Segmentation with Attention.

Xiaoyuan Yu, Suigu Tang, Chak-Fong Cheang, Hon Ho Yu, I. Cheong Choi

Sensors, 2022

Diagnosis of Esophageal Lesions by Multi-Classification and Segmentation Using an Improved Multi-Task Deep Learning Model.

Suigu Tang, Xiaoyuan Yu, Chak-Fong Cheang, Zeming Hu, Tong Fang, I. Cheong Choi, Hon Ho Yu

Sensors, 2022

Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M³JLBN) for gastric intestinal metaplasia subtype classification.

Qi Lai, Chi-Man Vong, Pak-Kin Wong, Shitong Wang, Tao Yan, I. Cheong Choi, Hon Ho Yu

Knowl. Based Syst., 2022

Corrigendum to "Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia" [Biomed. Signal Process. Control 73 (2022) 103476].

Pak-Kin Wong, Liang Yao, Tao Yan, I. Cheong Choi, Hon Ho Yu, Ying Hu

Biomed. Signal Process. Control., 2022

Broad learning system stacking with multi-scale attention for the diagnosis of gastric intestinal metaplasia.

Pak Kin Wong, Liang Yao, Tao Yan, I. Cheong Choi, Hon Ho Yu, Ying Hu

Biomed. Signal Process. Control., 2022

2021

A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM).

Hongyan Li, Chi-Man Vong, Pak-Kin Wong, Weng-Fai Ip, Tao Yan, I. Cheong Choi, Hon Ho Yu

Biomed. Signal Process. Control., 2021

2020

Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images.

Tao Yan, Pak-Kin Wong, I. Cheong Choi, Chi-Man Vong, Hon Ho Yu

Comput. Biol. Medicine, 2020