I am currently pursuing the M.S. degree at the Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei City, Taiwan. I am now a member of NTU imLab, and advised by Prof. Yi-Ping Hung.
I received my B.S. degree in the Department of Electrical and Computer Engineering from Tamkang University, New Taipei City, Taiwan, in 2023. From 2020 to 2023, I conducted research in the Advanced Mixed-Operation System Laboratory (AMOS Lab.) at Tamkang University, focusing on deep learning and computer vision under the supervision of Prof. Jen-Shiun Chiang.
My primary research areas include Deep Learning (DL), Neural Networks (NN), Computer Vision (CV), and Image Processing (IP). In addition, I have contributed to some projects in other fields, such as Natural Language Processing (NLP), and Speech & Audio. I have published 10+ papers 
Further details about my background can be found in my resume (available in both
News
- 2025.01: One paper is accepted by ICRA 2025 (Webpage).
- 2025.01: Our split GRAZPEDWRI-DX dataset is now avaliable.
- 2024.09: One paper is accepted by Knowledge-Based Systems (IF=7.2).
Research
Document Binarization
The efficient extraction of text information from the background in degraded color document images is an important challenge. The imperfect preservation of some manuscripts has led to different types of degradation over time, such as page yellowing, staining, and ink bleeding, seriously affecting the results of document image binarization. We propose a three-stage network method based on generative adversarial networks (GANs) to perform document image enhancement and binarization.
Fracture Detection
Hospital emergency departments frequently receive lots of bone fracture cases, with pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons perform surgery, they need to ask patients how the fracture occurred and analyze the fracture situation by interpreting X-ray images. The interpretation of X-ray images often requires a combination of techniques from radiologists and surgeons, which requires time-consuming specialized training. With the rise of deep learning in the field of computer vision, network models applying for fracture detection has become an important research topic.
ORB-SfMLearner
Deep visual odometry, despite extensive research, still faces limitations in accuracy and generalizability that prevent its broader application. To address these challenges, we propose an Oriented FAST and Rotated BRIEF (ORB)-guided visual odometry with selective online adaptation named ORB-SfMLearner. We present a novel use of ORB features for learning-based ego-motion estimation, leading to more robust and accurate results.
Publications
2025
Journal
- Chun-Tse Chien, Rui-Yang Ju, Kuang-Yi Chou, Enkaer Xieerke, Jen-Shiun Chiang, “YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection”, IEEE Access, 2025.
Conference
- Yanlin Jin, Rui-Yang Ju, Haojun Liu, Yuzhong Zhong, “ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation”, IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, 2025.
2024
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Journal
- Rui-Yang Ju, Yu-Shian Lin, Yanlin Jin, Chih-Chia Chen, Chun-Tse Chien, Jen-Shiun Chiang, “Three-stage Binarization of Color Document Images Based on Discrete Wavelet Transform and Generative Adversarial Networks”, Knowledge-Based Systems, 2024.
- Chun-Tse Chien, Rui-Yang Ju, Kuang-Yi Chou, Jen-Shiun Chiang, “YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images”, Electronics Letters, 2024.
Conference
- Rui-Yang Ju, Chun-Tse Chien, Jen-Shiun Chiang, “YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection”, International Conference on Neural Information Processing (ICONIP), Auckland, New Zealand, 2024.
- Rui-Yang Ju, Chun-Tse Chien, Chia-Min Lin, Jen-Shiun Chiang, “Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection”, International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Kaohsiung, Taiwan, 2024.
- Yanbing Bai, Siao Li, Rui-Yang Ju, Zihao Yang, Jinze Yu, Jen-Shiun Chiang, “FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method”, International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Kaohsiung, Taiwan, 2024.
2023
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Journal
- Rui-Yang Ju, Weiming Cai, “Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm”, Scientific Reports, 2023.
- Rui-Yang Ju* , Chih-Chia Chen* , Jen-Shiun Chiang, Yu-Shian Lin, Wei-Han Chen (*=equal contribution), “Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy”, Multimedia Tools and Applications (MTA), 2023.
- Rui-Yang Ju, Ting-Yu Lin, Jia-Hao Jian, Jen-Shiun Chiang, “Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification”, Journal of Real-Time Image Processing (JRTIP), 2023.
Conference
- Rui-Yang Ju, Yu-Shian Lin, Jen-Shiun Chiang, Chih-Chia Chen, Wei-Han Chen, Chun-Tse Chien, “CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization”, Pacific Rim International Conferences on Artificial Intelligence (PRICAI), Jakarta, Indonesia, 2023.
2022
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Journal
- Rui-Yang Ju, Ting-Yu Lin, Jia-Hao Jian, Jen-Shiun Chiang, Wei-Bin Yang, “ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections”, IEEE Access, 2022.
Conference
- Rui-Yang Ju, Jen-Shiun Chiang, Chih-Chia Chen, Yu-Shian Lin, “Connection Reduction of DenseNet for Image Recognition”, International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Penang, Malaysia, 2022.
- Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang, “TripleNet: A Low-Parameter Network for Low Computing Power Platform”, IET International Conference on Engineering Technologies and Applications (IET-ICETA), Changhua, Taiwan, 2022.
- Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang, Jia-Hao Jian, Yu-Shian Lin, Liu-Rui-Yi Huang, “Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions”, IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), Taipei, Taiwan, 2022.
2021
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Conference
- Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang, “New Pruning Method Based on DenseNet Network for Image Classification”, International Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taichung, Taiwan, 2021.
Professional Services
Journal Reviewer
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- IEEE Signal Processing Letters.
- Cognitive Computation.
- Telecommunication Systems.
- International Journal of Computational Intelligence Systems.
- Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.
- International Journal of Multimedia Information Retrieval.
- Scientific Reports.
- Plos One.
- Signal, Image and Video Processing.
- The Journal of Supercomputing.
- Frontiers in Computer Science.
- International Journal of Machine Learning and Cybernetics.
- Knowledge-based Systems.
Conference Committee
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- International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, Reviewer.
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, Reviewer.
- Pacific Rim International Conference on Artificial Intelligence (PRICAI), Kyoto, Japan, 2024, Program Committee.
- Pacific Rim International Conference on Artificial Intelligence (PRICAI), Jakarta, Indonesia, 2023, Program Committee.
Honors and Scholarships
- 2024.11: NTU Scholarship, TWD9,000
- 2024.05: NTU Scholarship, TWD8,000
- 2023.11: NTU Scholarship, TWD8,000
- 2022.12: TKU Scholarship (Top 1%), TWD10,000
- 2022.05: TKU Academic Award (Top 5% in College of Engineering)
- 2021.05: TKU Scholarship (Top 1%), TWD10,000
Educations
- 2023.09 - 2025.06, Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei City
- 2019.09 - 2023.06, Electrical and Computer Engineering, Tamkang University, New Taipei City