Publications and Research Activities

Updated:   December, 2024

NTU Faculty Link

E-mail:  yanbin@ntu.edu.tw

Office phone:  +886-2-33664688

About

I am an assistant professor in Master Program in Statistics, Center for General Education of National Taiwan University (MPS, CGE of NTU), Taipei City, Taiwan. My research interests include 

• Machine learning, Deep neural network (DNN)

• Dimension reduction

• Similarity measure

• Biomedical images analysis, Internet of Things (IoT network)

Publications

---Journal Articles

1. Yan-Bin Chen, Khong-Loon Tiong, Chen-Hsiang Yeang (2024, Dec). Exploring the relationship between the geometry of a fixed embedding of image data and its underlying cluster structure. Journal of Computational and Graphical Statistics (Taylor & Francis JCGS), (link)

2. Sridevi Padakanti, Khong Loon Tiong, Yan-Bin Chen, Chen-Hsiang Yeang (2021, Sep). Genotypes of informative loci from 1000 Genomes data allude evolution and mixing of human populations. Scientific Reports  (Sci Rep), 11, 17741. (link)

3. Yan-Bin Chen, Ido Nevat, Pengfei Zhang, Sai Ganesh Nagarajan, Hung-Yu Wei (2018, Oct). Query-Based Sensors Selection for Collaborative Wireless Sensor Networks With Stochastic Energy Harvesting. IEEE Internet of Things Journal (IEEE IoT-J), Volume: 6 , Issue: 2, pp 3031-3043. (link)

4. Yan-Bin Chen, Guan-Yu Lin, and Hung-Yu Wei (2016, Jul). A dynamic estimation of the unsaturated bu er in the IEEE 802.11 DCF network: A particle filter framework approach. IEEE Transactions on Vehicular Technology (IEEE TVT), vol. 65, no. 7, pp. 5397-5409. (link)

---Peer-reviewed Conference Papers

1. Yan-Bin Chen, Khong-Loon Tiong, Chen-Hsiang Yeang (2022, Dec). Clustering image data with a fixed embedding. IEEE International Conference on Machine Learning and Applications 2022 (IEEE ICMLA), Nassau, Bahamas. (link)

2. Yan-Bin Chen, Guan-Yu Lin and Hung-Yu Wei (2014, Sep). Dynamic estimation of unsaturated buffer in context-aware M2M WiFi network. 2014 IEEE International Conference on Internet of Things (IEEE iThings), Taipei, Taiwan. (link)

3. Ming-Yuan Cheng, Yan-Bin Chen, Hung-Yu Wei, and Winston KG Seah (2013, Oct). Event-driven energy-harvesting wireless sensor network for structural health monitoring. 2013 IEEE 38th Conference on Local Computer Networks (IEEE LCN), Sydney, Australia. (link)

Speeches and Academia Services

• 2024/12/16. 2024 IMS International Conference on Statistics and Data Science (ICSDS). December 16-19, 2024, Nice, France. Topics: Exploring Clustering Ambiguous Images Using Similarity Analysis.

• 2024/12/14. The Interim Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS). December 14-15, 2024, Taipei, Taiwan. Topics: Interpreting Ambiguous Clustered Images Through Heterogeneous Analysis.

• 2024/11/20.  Course of "Statistics and Life", National Taiwan University (臺灣大學 統計與生活 課程演講). Topics: Artificial Intelligence in Daily Life: Automated Classification and Clustering. (popular science 科普內容)

• 2024/6/27. South Taiwan Statistics Conference, National Sun Yat-sen University (中山大學 南區統計研討會). Topics: Exploring the Heterogeneity across the Structures of the Embedded Image Vector.

• 2024/6/7. Symposium in Center of General Education, National Taiwan University (臺灣大學 共教中心 跨領域交流會). Topics: The Hidden Statistical Methods behind the AI.  (popular science 科普內容)

• 2023/11/23. Seminar in Department of Statistics of NTPU (臺北大學 統計系 專題演講). Topics: Practical Imputation Techniques for Handling Missing Data.

• 2023/11/17. Seminar in Data Science Degree Program of NTU (臺灣大學 資料科學學程 專題演講). Topics: Handling Missing Values in Data Science.

• 2023/7/25. Teaching Assistant in Statistical School 2023 in Institute of Statistical Science, Acadimia Sinica, Taipei City, Taiwan. (中央研究院 統計科學研究所 2023統計研習營).

• 2022/12/12. Poster presentation in 21th IEEE International Conference on Machine Learning and Application (IEEE ICMLA), Nassau, Bahamas. Topics: Clustering image data with a fixed embedding.

• 2022/9/23. Workshop on Robust Statistical Inference for High Dimensional Data and Deep Models in ISS AS. (中央研究院 統計科學研究所 研討會)  Topics: Feature Representation Learning in Neural Networks Guided by the Sliced Inverse.

• 2022/4/21. Seminar in NCU (中央大學 數學系 專題演講). Topics:Cluster image by self-supervised learning with a fixed embedding.

• 2022/1/7. Seminar in NTHU (清華大學 統計學研究所 專題演講). Topics: Unsupervised learning of data with a fixed embedding for clustering.

• 2021/12/10.  Conference in FJU (輔仁大學 2021 年統計學術研討會暨台日韓國際統計學術研討會). Topics: Unsupervised learning of image data with a fixed embedding.

• 2019/10/17.  Course in FJU (輔仁大學 統計資訊學系 專家講座). Topics: Statistical Approach for the Applications on Internet of Things (IoT).

• 2019/9/3. As the moderator in 2019 Statistical Science Camp in ISS AS (中央研究院 統計科學研究所 統計營).

Teachings

• Cloud Computing for High Dimensional Data,  Link
      (Graduate course, in English (EMI))

• Artificial Intelligence Programming with Python - For Beginners,  Link
      (Undergraduate course, in English (EMI))

• Navigation into Digital Literacy, Link
      (Undergraduate course, in Chinese)

Honors, Funding and Award

• 2023-2025 NSTC Research Project Grant (postdoc independent research project) (國科會: 延攬研究學者暨執行專題研究計畫), Taipei City, Taiwan.

• 2016 Best Dissertation Award from Department of Electrical Engineering, National Taiwan University, Taipei City, Taiwan.

• 2014 International Awardee of A*STAR Research Attachment Programme (ARAP) from A*STAR Research Institute, Singapore.