EDUCATION

• PhD, Institute of Electronics, National Chiao Tung University, Taiwan, 2011/09 – 2020/12.

• B.S., Electrical Engineering and Computer Science Undergraduate Honors Program, National Chiao Tung University, Taiwan, 2005/09 – 2009/06.

RESEARCH INTERESTS

• Machine Learning

• Artificial Intelligence

• Optimization

• Image Analysis

• Biomedical and Industrial Applications

PROFESSIONAL EXPERIENCES

• Assistant Research Fellow, Biomedical Artificial Intelligence Academy, Kaohsiung Medical University, Taiwan, 2025/08 – Now.

• Technical Consultant, Fu Hsun Fiber Industries Co., Ltd., Taiwan, 2023/01 – Now.

  • FabGoalie – Smart Fabric Goalie, the 28th Taipei Innovative Textile Application Show (TITAS 2024), October 15 – 17, 2024. (YouTube)

• Postdoctoral Research Fellow, Biomedical Artificial Intelligence Academy, Kaohsiung Medical University, Taiwan, 2024/12 – 2025/07.

• Postdoctoral Research Fellow, Office of Research and Development, Kaohsiung Medical University, Taiwan, 2024/10 – 2024/11.

• Postdoctoral Research Fellow, Institute of Statistics, National Yang Ming Chiao Tung University, Taiwan, 2021/12 – 2024/09.

• Research Visits to UCLA, UC Berkeley, and Stanford University, 2024/07 – 2024/08.

• Invited Speaker, The 33rd South Taiwan Statistics Conference, National Sun Yat-sen University, Kaohsiung, Taiwan, June 27 – 28, 2024.

• Invited Speaker, 2023 International Conference for Statistics and Data Science, Academia Sinica, Taipei, Taiwan, July 12 – 13, 2023.

• Invited Speaker, The 32nd South Taiwan Statistics Conference, National Dong Hwa University, Hualien, Taiwan, June 29 – 30, 2023.

• Technical Consultant, Ansforce Inc., Taiwan, 2019.

• Intern, Computational Intelligence Technology Center, Industrial Technology Research Institute, Taiwan, 2015/11 – 2017/01.

• ISO/IEC MPEG Delegate, 2010 – 2013

  • To join the standardization activity of High Efficiency Video Coding.

  • To join the standardization activity of Compact Descriptors for Visual Search. 

TEACHING EXPERIENCES

• Teaching Assistant, Machine Learning (IOC5191), NCTU, Spring 2017.

• Instructor, Topical Mathematical Modeling and Computing (II) (IAM5806), NCTU, Mar. – Apr. 2014.

  • Topic: Introduction to Machine Learning

• Teaching Assistant, Machine Learning (IEE5725), NCTU, Spring 2014.

• Teaching Assistant, Adaptive Signal Processing (ILE5017), NCTU, Spring 2012.

• Teaching Assistant, Introduction to Digital Signal Processing (DCP1186), NCTU, Fall 2011.

• Teaching Assistant, Linear Algebra (DCP2354), NCTU, Fall 2010.

• Teaching Assistant, Stochastic Processes (IOC5127), NCTU, Fall 2009, Fall 2012.

Note: NCTU stands for National Chiao Tung University, which was merged as National Yang Ming Chiao Tung University (NYCU) in 2021/02. 

AWARDS AND HONORS

• Jesus Christ Scholarship, TITC Taiwan Imaging Tek Corp., 2017 – 2020.

• Two-year PhD scholarship, Institute of Electronics, National Chiao Tung University, Taiwan, 2011 – 2013.

• Honorary Member of the Phi Tau Phi Scholastic Honor Society of the Republic of China, 2011, 2021.

• Academic Achievement Award, Institute of Electronics, National Chiao Tung University, Taiwan, 2010.

• Academic Achievement Award, Electrical Engineering and Computer Science (EECS) Undergraduate Honors Program, National Chiao Tung University, Taiwan, 2008.

• Hsinchu Du Cheng Huang Temple Fellowship, 2007.

• Calculus Contest Award, National Chiao Tung University, Taiwan, 2006.

• Entrance Scholarship, National Chiao Tung University, Taiwan, 2005.

PUBLICATIONS

• Journal Articles

**Joint first authorship 

• 1. C.-H. Wu, H. H.-S. Lu, and H.-M. Hang, "Budgeted Passive-Aggressive Learning for Online Multiclass Classification," IEEE Access, vol. 8, pp. 227420-227437, 2020. [Reference Link][Article][Appendix]

  2. J. C.-H. Wu**, H.-W. Yu**, T.-H. Tsai**, and H. H.-S. Lu, "Dynamically Synthetic Images for Federated Learning of medical images," Computer Methods and Programs in Biomedicine, vol. 242, Article No. 107845, 2023. [Reference Link][Article]

  3. W.-W. Chen, L. Kuo, Y.-X. Lin, W.-C. Yu, C.-C. Tseng, Y.-J. Lin, C.-C. Huang, S.-L. Chang, J. C.-H. Wu, C.-K. Chen, C.-Y. Weng, S. Chan, W.-W. Lin, Y.-C. Hsieh, M.-C. Lin, Y.-C. Fu, T. Chen, S.-A. Chen, and H. H.-S. Lu, "A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance," International Journal of Biomedical Imaging, vol. 2024, Article ID 6114826, 9 pages, 2024. [Reference Link][Article]

  4. C.-Y. Lin, J. C.-H. Wu, Y.-M. Kuan, Y.-C. Liu, P.-Y. Chang, J.-P. Chen, H. H.-S. Lu, and O. K.-S. Lee, "Precision Identification of Locally Advanced Rectal Cancer in Denoised CT Scans Using EfficientNet and Voting System Algorithms," Bioengineering, vol. 11, no. 4, Article No. 399, 2024. [Reference Link][Article][Supplement]

  5. J. C.-H. Wu**, N.-C. Liao**, T.-H. Yang, C.-C. Hsieh, J.-A. Huang, Y.-W. Pai, Y.-J. Huang, C.-L. Wu, and H. H.-S. Lu, “Deep-learning-based Automated Anomaly Detection of EEGs in Intensive Care Units,” Bioengineering, vol. 11, no. 5, Article No. 421, 2024. [Reference Link][Article]

  6. J. C.-H. Wu, Y.-S. Lin, H. H.-S. Lu, and H.-M. Hang, “Online Linearized Confidence-Weighted Learning on a Budget,” Advanced Intelligent Systems, Article No. 2400345, 2024. [Reference Link][Article]

  7. W.-W. Chen, C.-M. Liu, C.-C. Tseng, C.-C. Huang, I.-C. Wu, P.-F. Chen, S.-L. Chang, Y.-J. Lin, L.-W. Lo, F.-P. Chung, T.-F. Chao, T.-C. Tuan, J.-N. Liao, C.-Y. Lin, T.-Y. Chang, L. Kuo, C.-I. Wu, S.-H. Liu, J. C.-H. Wu, Y.-F. Hu, S.-A. Chen, and H. H.-S. Lu “Identifying the Presence of Atrial Fibrillation During Sinus Rhythm Using a Dual-input Mixed Neural Network with ECG Coloring Technology,” BMC Medical Research Methodology, vol. 24, Article No. 318, 2024. [Reference Link][Article]

  8. T.-Y. Su**, J. C.-H. Wu**, W.-C. Chiu, T.-J. Chen, W.-L. Lo, and H. H.-S. Lu, “Automatic classification of temporomandibular joint disorders by magnetic resonance imaging and convolutional neural networks,” Journal of Dental Sciences, vol. 20, no. 1, pp. 393-401, 2025. [Reference Link][Article]

  9. J. C.-H. Wu, T.-C. Chien, C.-C. Chang, H.-I. Chang, H.-J. Tsai, M.-Y. Lan, and H. H.-S. Lu, “Learning-based Progression Detection of Alzheimer’s Disease Using 3D MRI Images,” International Journal of Intelligent Systems, vol. 2025, Article ID 3981977, 18 pages, 2025. [Reference Link][Article]

• Conference Papers

  1. Y.-C. Tseng, C.-H. Wu, Y.-W. Chen, T.-W. Wang, and W.-H. Peng, "On the Analysis and Design of Motion Sampling Structure for Advanced Motion-Compensated Prediction," in Proc. 2010 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, China, September 2010. [Reference Link][Paper]

  2. C.-L. Lee, C.-C. Chen, Y.-W. Chen, M.-H. Wu, C.-H. Wu, and W.-H. Peng, "Bi-prediction Combining Template and Block Motion Compensations," in Proc. 2011 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belguim, September 2011. [Reference Link][Paper]

  3. C.-H. Wu, Y.-C. Tseng, and W.-H. Peng, "Analytical Mode-Dependent Rate and Distortion Models for H.264/SVC Coarse Grain Scalability," in Proc. 2012 IEEE International Symposium on Circuits and Systems (ISCAS 2012), Seoul, Korea, May 2012. [Reference Link][Paper]

  4. C.-H. Wu, W.-C. His, H. H.-S. Lu, and H.-M. Hang, “Online Multiclass Passive-Aggressive Learning on a Fixed Budget,” in Proc. 2017 IEEE International Symposium on Circuits and Systems (ISCAS 2017), Baltimore, MD, USA, May 2017. [Reference Link][Paper]

  5. Y.-S. Lin, C.-H. Wu, and H. H.-S. Lu “Budgeted Algorithm for Linearized Confidence-Weighted Learning,” in Proc. 2019 3rd International Conference on Cloud and Big Data Computing (ICCBDC 2019), Oxford, UK, August 2019. [Reference Link][Paper]

  6. W.-C. His, C.-H. Wu, and H. H.-S. Lu, “Online Learning for Network Traffic Data Classification,” in Proc. 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021), Penghu, Taiwan, September 2021. [Reference Link][Paper]

• Standard Contributions

  1. Y.-W. Chen, T.-W. Wang, C.-H. Chan, C.-L. Lee, C.-H. Wu, Y.-C. Tseng, W.-H. Peng, C.-J. Tsai, and H.-M. Hang, "Description of video coding technology proposal by NCTU," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 1st meeting, JCTVC-A123, Dresden, DE, April 2010. [Document]

  2. Y.-W. Chen, C.-H. Wu, C.-L. Lee, T.-W. Wang, and W.-H. Peng, "MB Mode with Joint Application of Template and Block Motion Compensations," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 2nd meeting, JCTVC-B072, Geneva, CH, July 2010. [Document]

  3. C.-L. Lee, C.-C. Chen, Y.-W. Chen, M.-H. Wu, C.-H. Wu, W.-H. Peng, and H.-M. Hang, "Bi-prediction Combining Template and Block Motion Compensations," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 4th meeting, JCTVC-D175, Daegu, KR, January 2011. [Document]

REFERENCES

• Prof. Henry Horng-Shing Lu (盧鴻興教授): https://misg.stat.nycu.edu.tw/

• Prof. Lu's Lab: https://lulab.stat.nycu.edu.tw/

• Medical Images-Stat. Group (MISG): https://misg.stat.nycu.edu.tw/index.html