Welcome!

歡迎對電腦視覺、影像處理或資料分析有興趣的新生加入,有興趣的同學請寄email給我,謝謝!
實驗室最新資訊以及實驗室成員招募公告請參考 實驗室網站

We extend a warm welcome to those passionate about computer vision, image processing, data analysis, or federated learning. If you're interested, kindly send an email to me. Thank you!
For more information about the lab, please visit VISLab.

My Research Interests

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    Computer Vision, Image Processing

    Our research involves object detection, domain adaptation, and infrared nighttime surveillance for more accurate and efficient image analysis.

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    Big Data Analytics

    Our lab undertakes industry-academia collaboration projects, equipping students to apply advanced deep learning techniques to big data analysis of real-world datasets.

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    Federated Learning

    Our focus is on combining federated learning with computer vision tasks and designing efficient model aggregation algorithms for collaborative and privacy-preserving machine learning.

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    Blockchain

    We actively develop diverse applications using blockchain technology to enhance security, transparency, and traceability across various parties.

About me

Experience

  1. National Chung Cheng University, Taiwan

    2024 — Present

    Assistant Professor, Department of Computer Science and Information Engineering

  2. National Center of High-performance Computing (NCHC), Taiwan

    2015 — 2024.1

    Assistant Researcher

  3. Providence University, Taiwan

    2016 — 2024.1

    Adjunct Assistant Professor/Lecturer, Department of Data Science and Big Data Analytics

  4. Northwestern University, U.S.

    2017.2 — 2017.8

    Visiting Scholar, International Center for Advanced Internet Research (iCAIR)

  5. DMO System Ltd. (start-up, acquired by Applied Materials)

    2012-2015

    Engineer (Team leader)

Education

  1. National Yang Ming Chiao Tung University (NYCU), Taiwan

    2017 — 2023

    Ph.D, Institute of Computer Science and Engineering

  2. Technical University of Munich (TUM), Germany

    2011 — 2012

    Exchange student of Informatics

  3. National Chiao Tung University (NCTU), Taiwan

    2009-2011

    MS, Institute of Multimedia Engineering

  4. National Chiao Tung University (NCTU), Taiwan

    2005-2009

    BS, Department of Computer Science

Research



  • Achievements

    Publications

    • Wei-Yu Chen, Peggy Joy Lu* and Vincent S. Tseng, “Federated Contrastive Domain Adaptation for Category-inconsistent Object Detection”, IEEE International Conference on Visual Communication and Image Processing (VCIP), 2024.

    Peggy Joy Lu, “Privacy-preserving Object Detection for IoT Surveillance System” (Best Presentation Award), Blockchain and Internet of Things Conference (BIOTC), 2024.

    Peggy Joy Lu, Chia-Yung Jui and Jen-Hui Chuang, “A Privacy-Preserving Approach for Multi-Source Domain Adaptive Object Detection”, IEEE International Conference on Image Processing (ICIP), 2023.

    Peggy Joy Lu, Chia-Yung Jui, and Jen-Hui Chuang. “FedDAD: Federated Domain Adaptation for Object Detection“, IEEE Access, Vol 11, 2023, pp. 51320-51330.

    Peggy Joy Lu and Jen-Hui Chuang, “Communication-efficient Multi-source Domain Adaptive Object Detection under Privacy Constraints”, International Workshop on Computer Science and Engineering (WCSE), 2023.

    Peggy Joy Lu, Chia-Yung Jui and Jen-Hui Chuang, “Federated Multi-source Domain Adaptive Object Detection with Probabilistic Teacher” (Best Student Paper Award), International Conference on Industrial Application Engineering (ICIAE), 2023.

    盧沛怡, “基於風格轉換建置之領域自適性物件偵測模型於紅外線影像之應用”, ITAOI, 2023

    Peggy Joy Lu and Jen-Hui Chuang, “Fusion of Multi-Intensity Image for Deep Learning-Based Human and Face Detection“, IEEE Access, Vol. 10, 2022, pp. 8816-8823.

    Peggy Joy Lu and Jen-Hui Chuang, “Fourier domain adaptation for nighttime pedestrian detection using Faster R-CNN”, In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), 2022.

    • Lo-Yao Yeh, Peggy Joy Lu, Szu-Hao Huang, Jiun-Long Huang, “SOChain: A privacy-preserving DDoS data exchange service over SOC consortium blockchain“, IEEE Transactions on Engineering Management (TEM), 2020, 67.4: 1487-1500.

    • Wei-Yu Chen, Peggy Joy Lu and Steven Shiau, “IPGOD: An Integrated Visualization Platform Based on Big Data Mining and Cloud Computing”, In: Proceedings of the International Conference on Big Data and Computing. 2019. p. 11-16.

    Peggy Joy Lu, Lo-Yao Yeh and Jiun-Long Huang, “A privacy-preserving cross-organizational authentication/authorization/accounting system using blockchain technology”, In: IEEE International Conference on Communications (ICC). IEEE, 2018. p. 1-6.

    • Lo-Yao Yeh, Peggy Joy Lu and Jen-Wei Hu, “NCHC blockchain construction platform (NBCP): rapidly constructing blockchain nodes around Taiwan”, In: 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE, 2017. p. 1-2.

    Peggy Joy Lu, Jen-Hui Chuang and Horng-Horng Lin, “Intelligent nighttime video surveillance using multi-intensity infrared illuminator” (Award: Certificate of Merit for International Conference on Signal Processing and Imaging Engineering), In: Proceedings of the World Congress on Engineering and Computer Science. 2011. p. 19-21.

    Peggy Joy Lu, Jen-Hui Chuang, and Horng-Horng Lin, “Nighttime Human Detection Using a New Multi-Intensity Infrared Illuminator”, In: Proceedings of the CVGIP, 2011.

    Patents

    US

    • Method of Synchronous Deletion for Distributed Storage System, Lo-Yao Yeh, Peggy Joy Lu, Chia-Hsien Hung 美國, US11416449, 發照日期 2022年8月16日

    • Portable Biological Microscopic Image Analysis System, Chih-Hsieh Chiu, Chia-Yung Jui, Shu-Hui Hung, Peggy Joy Lu 美國, US11328419, 發照日期 2022年5月10日 (2024台灣創新技術博覽會發明競賽「金牌獎」)

    TW

    • 多攝影機領域自適性物件偵測系統及其偵測方法, 盧沛怡、莊仁輝 中華民國, 發照日期 2024年2月1日

    • 咳聲辨識方法及其系統, 盧沛怡、洪淑惠、芮嘉勇、郭漢彬、洪宗杰 中華民國, TWI798111, 發照日期 2023年4月1日

    • 分散式儲存系統之同步刪除方法, 葉羅堯、盧沛怡、洪嘉賢 中華民國, TWI710238, 發照日期 2020年11月11日

    • 一種可攜式生物顯微影像分析系統, 邱智賢,芮嘉勇,洪淑惠,盧沛怡 中華民國, TWM592975, 發照日期 2020年4月1日

Courses

Courses in CCU

深度學習於電腦視覺之應用 (Applications of Deep Learning in Computer Vision), 2024 Fall

Deep learning in Computer Vision, 2024 Spring, slides

Previous Courses

資料庫系統(Database Systems), Providence University, 2016-2023, slides

Training Courses

Big Data資料分析: 使用SparkR, National Health Research Institutes, 2018, slides

Spark建置開發與實務: Spark Machine Learning, NHRI, NCHC, NTCU, PU 2016-2017, slides

R資料探勘分類技術, National Health Research Institutes, 2016, slides