吳孟倫

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簡介

Meng-Luen Wu's Photo
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吳孟倫是淡江大學資訊工程學系的助理教授，研究領域涵蓋人工智慧、自然語言處理與影像理解。
研究特別關注 AI 在法律推理、影像偵測與多模態生成上的應用，致力於建立具可解釋性與可靠性的智慧系統。
吳孟倫同時指導多項學生專題與研究計畫，推動理論與實務的整合發展。 Meng-Luen Wu is an Assistant Professor in the Department of Computer Science and Information Engineering at Tamkang University.
His research interests span artificial intelligence, natural language processing, and image understanding.
His work particularly focuses on applying AI to legal reasoning, image forensics, and multimodal generation, aiming to develop interpretable and trustworthy intelligent systems.
He also supervises multiple student projects and research initiatives, promoting the integration of theoretical and practical developments.

經歷 Experience

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助理教授｜淡江大學學校財團法人淡江大學 資訊工程學系
2021.02 – 至今｜ 淡水工學館 / 大安金華街
 Assistant Professor｜Department of Computer Science and Information Engineering (CSIE), Tamkang University (TKU)
2021.02 – Present｜ Taipei, Taiwan

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博士後研究員｜國立臺灣科技大學 資訊工程系
2018.01 – 2020.11｜ 台北基隆路
 Postdoctoral Researcher｜Department of Computer Science and Information Engineering (CSIE), National Taiwan University of Science and Technology (NTUST)
2018.01 – 2020.11｜ Taipei, Taiwan

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兼任助理教授｜國立臺北大學 資訊工程學系
資訊工程學系選修 及 通識教育
 Adjunct Assistant Professor｜Department of Computer Science and Information Engineering (CSIE), National Taipei University (NTPU)
Selective Courses in CSIE and General Education

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兼任研究助理｜國立臺灣師範大學 電機工程學系
眼動儀裝置開發
 Adjunct Research Assistant｜Department of Electrical Engineering, National Taiwan Normal University (NTNU)
Eye Tracker Development

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兼任研究助理｜資訊工業策進會兼任研究人力
物聯網與智慧微導購研究
 Adjunct Research Assistant｜Institute for Information Industry (III)
Internet of Things and Smart Shopping Guiding Systems Research

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兼任研究助理｜資訊科學研究所
社群網路與網路爬蟲
 Adjunct Research Assistant｜Institute of Information Science, Academia Sinica
Social Network and Web Page Crawler

學歷 Education

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工學博士｜國立臺灣科技大學 資訊工程系
2013.09 – 2017.06｜ 機器學習 與 電腦視覺
 Ph.D. in Engineering｜Department of Computer Science and Information Engineering (CSIE), National Taiwan University of Science and Technology (NTUST)
2013.09 – 2017.06｜ Machine Learning & Computer Vision

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碩士班｜國立臺灣科技大學 資訊工程系
2011.09 – 2013.08｜ 數位影像處理
 Master Program｜Department of Computer Science and Information Engineering (CSIE), National Taiwan University of Science and Technology (NTUST)
2011.09 – 2013.08｜ Digital Image Processing

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工學學士｜國立臺北大學 資訊工程學系
2007.09 – 2011.06｜ 影像、網路、資料庫 程式設計
 B.S. in Engineering｜Department of Computer Science and Information Engineering (CSIE), National Taipei University (NTPU)
2007.09 – 2011.06｜ Programming in Image, Network & Database

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法學士｜國立臺北大學 資訊工程學系
2006.09 – 2011.06｜ 智慧財產權、行政法、公司法
 B.S. in Engineering｜Department of Computer Science and Information Engineering (CSIE), National Taipei University (NTPU)
2006.09 – 2011.06｜ Copyright, Administrative & Corporation Law

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榮譽 Awards

校友院友類Alumni Awards

  • 2024 國立臺北大學 電機資訊學院 第一屆 傑出院友
  • 2014 國立臺灣科技大學電資學院院傑出青年
  • 2014 中華民國斐陶斐榮譽學會榮譽會員

學術論文類Academic Awards

  • 2025 智慧運算論壇 最佳論文獎佳作
  • 2025 資訊科技應用國際學術研討會 最佳論文獎

競賽類Contest Awards

  • 2025 指導學生參加「第十五屆全國私立大專院校程式競賽」獲得 金獎
  • 2024 指導學生參加「第十四屆全國私立大專院校程式競賽」獲得 銅獎
  • 2013 經濟部技術處搶鮮大賽優秀獎
  • 2012 教育部全國微電腦競賽第二名
  • 2012 MobileHero 通訊大賽優等獎
  • 2009 美商華麗得 Wattleader 創意程式競賽 創新獎
  • 2009 MobileHero 通訊大賽最佳校園創意獎

作品 Portfolio

此處作品集為個人製作非指導學生之作品 The portfolio here contains only my own works which are not from supervised students.


智慧型拍照指引 Intelligent Photographing Guidance

常走路線挖掘系統 Frequent Path Mining

擴增實境寫字繪圖 AR Character Writing

法條引用推薦系統 Law Article Recommandation System

法條搜尋與筆記系統 Law Article Search and Bookmarking System

Arduino藍芽控制自走車 Arduino Remote Control

竄改影像偵測 Image Forgery Detection

回合制連線遊戲 Turn-based Network Game

手機連線互打遊戲 Mobile Network Game

手機體感遊戲 Mobile Sensor Hocky Game

手機體感遙控器 Mobile PC Remote

瞳孔偵測及眼控 Pupil Detection & Remote Control

計畫 Projects

國科會計畫NSTC Projects

  1. 2025, 基於多模態模型的影片竄改偵測研究Advancing Video Tampering Detection with Multimodal Models, NSTC 114-2221-E-032-010-, 計畫主持人Principal Investigator, 執行中Running
  2. 2024, 多模態深度學習於影像美學評論生成之研究Research on Multimodal Deep Learning for Image Aesthetic Comments Generation, NSTC 113-2221-E-032-023-, 計畫主持人Principal Investigator, 執行中Running
  3. 2023, 基於深度學習的影像竄改偵測技術研究A Study on Image Tampering Detection Technology Based on Deep Learning, NSTC 112-2221-E-032-040-, 計畫主持人Principal Investigator, 已結案Closed
  4. 2022, 基於深度學習的照片美學評估與攝影指引Deep Learning Based Image Aesthetics Assessment and Photographing Instruction, MOST 111-2221-E-032-020-, 計畫主持人Principal Investigator, 已結案Closed
  5. 2021, 基於人工智慧的法律科技技術研發–法學資料檢索與案件結果預測Research on AI in Law - Legal Search and Case Prediction, MOST 110-2222-E-032-004-, 計畫主持人Principal Investigator, 已結案Closed

教育部教學實踐研究計畫Teaching Practice Research, MOE

  1. 2025, 從作業系統理論到實踐:互動式多媒體軟體設計的教學探索, MOE-114-TPREE-1005-0, 計畫主持人Principal Investigator, 執行中Running

大專生研究計畫College Student Research Scholarship, NSTC

  1. 2025, 應用Transformer模型於中文文本自動摘要生成, NTSC 114-2813-C-032-, , 執行中Running

穩懋半導體 & 淡江大學文錙藝術中心 & 工學院WIN Semiconductors

  1. 2021, 淡江大學文錙藝術中心書法字生成, , 子計畫主持人Sub Principal Investigator, 執行中Running

著作

國際期刊論文 Journal Papers

  1. *M. L. Wu and C. P. Cheng, “Sanitizing diffusion-generated images via fingerprint removal and adversarial perturbation for forensic evasion,” IEEE Access, vol. 13, pp. 156843~156854, August, 2025. (included in SCI) doi:10.1109/ACCESS.2025.3597641
  2. C. S. Fahn, *C. Y. Kao, M. L. Wu, and H. E. Chueh, “SOINN-based abnormal trajectory detection for efficient video condensation,” Computer Systems Science Engineering, vol. 42, no. 2, pp. 451~463, January, 2022. (included in SCI) doi:10.32604/csse.2022.022368
  3. B. S. Lin, I. J. Lee, *C. S. Fahn, Y. F. Lee, W. J. Chou, and M. L. Wu, “Depth-camera based energy expenditure estimation system for physical activity using posture classification algorithm,” Sensors, vol. 21, no. 12, pp. 4216, June, 2021. (included in SCI) doi:10.3390/s21124216
  4. *Y. S. Chen, S. W. Chiang, and M. L. Wu, “A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction,” Applied Intelligence, vol. 52, pp. 2884~2902, May, 2021. (included in SCI & EI) doi:10.1007/s10489-021-02516-x
  5. C. S. Fahn, J. Ling, M. Y. Yeh, P. Y. Huang, and M. L. Wu, “Abnormal maritime activity detection in satellite image sequences using trajectory features,” International Journal of Future Computer and Communication, vol. 8, no. 1, pp. 29~33, March, 2019. doi:10.18178/ijfcc.2019.8.1.535
  6. C. S. Fahn, and S. E. Lee, and M. L. Wu, “Real-time musical conducting gesture recognition based on a dynamic time warping classifier using a single-depth camera,” Applied Sciences, vol. 9, no. 3, pp. 528, February, 2019. (included in SCI) doi:10.3390/app9030528
  7. *M. L. Wu, C. S. Fahn, and Y. F. Chen, “Image-format-independent tampered image detection based on overlapping concurrent directional patterns and neural networks,” Applied Intelligence, vol. 47, pp. 347~361, March, 2017. (included in SCI & EI) doi:10.1007/s10489-017-0893-4
  8. C. S. Fahn, C. Y. Kao, C. B. Yao, and M. L. Wu, “Exploiting AdaRank model and trajectory of hand motion for hand gesture recognition,” Sensor Letters, vol. 14, no. 10, pp. 1061~1065, October, 2016. doi:10.1166/sl.2016.3743

國際研討會論文 International Conference Papers

  1. C. C. Chou, M. L. Wu, and S. C. Shih, “Can Semantics-Driven Segmentation Improve BERT for Long Legal Texts?,” in Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2025), Taipei, Taiwan, accepted for publication.
  2. Z. Y. Hu and *M. L. Wu, “Taming the Mirage: A Taxonomy of Detection Methods for LLM Hallucinations,” in Proceedings of the IET International Conference on Engineering Technologies and Applications (IET ICETA 2025), Taoyuan, Taiwan, accepted for publication.
  3. J. H. Zhu and *M. L. Wu, “Multimodal video forgery detection using vision-language and audio features,” in Proceedings of the International Conference on Computer Vision, Graphics and Image Processing (CVGIP 2025), New Taipei City, Taiwan, August, 2025.
  4. Z. Y. Yang, M. L. Wu, J. H. Zhu, C. C. Chou, and B. X. Huang, “AI-generated image detection based on ViT using frequency domain features,” in Proceedings of the International Conference on Machine Learning and Media Informatics (MLMI 2025), Kyoto, Japan, July, 2025.
  5. *M. L. Wu, P. C. Yu, C. Y. Fang , “PGNet v2: Enhancing aesthetic image critique generation with self-resurrecting activation and Gaussian gated units,” in Proceedings of the International Conference on Future Computer and Communication (ICFCC 2025), Jeju Island, South Korea, June, 2025. doi:10.18178/wcse.2025.06.017
  6. M. L. Wu and C. B. Cheng, “An adversarial strategy against AI-generated image manipulation,” in Proceedings of the International Conference on Technologies and Applications on Artificial Intelligence (TAAI 2024), Hsinchu, Taiwan, December, 2024.
  7. M. L. Wu, H. M. Choi, and C. W. Liu, “Refining judgment prediction in European human rights cases with deep learning,” in Proceedings of the International Conference on Technologies and Applications on Artificial Intelligence (TAAI 2024), Hsinchu, Taiwan, December, 2024.
  8. M. L. Wu, Y. R. Du, and D. H. Jiang, “Aesthetic evaluation system for calligraphy characters using convolutional neural networks,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2024), Miyazaki, Japan, September, 2024, pp. 547~552. doi:10.1109/ICMLC63072.2024.10935004
  9. M. L. Wu, G. Lin, and P. C. Yu, “On the development of a legal penalty prediction system for drunk driving cases,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2022), Toyama, Japan, September, 2022, pp. 124~129. doi:10.1109/ICMLC56445.2022.9941286
  10. C. S. Fahn, M. L. Wu, and S. K. Tsau, “An intelligent photographing guiding system based on compositional deep features and interpretable machine learning model,” in Proceedings of the International Conference on Pattern Recognition (ICPR 2021), Milan, Italy, January, 2021, pp. 7723~7729. doi:10.1109/ICPR48806.2021.9412284
  11. C. S. Fahn, Y. L. Wang, C. P. Lee, and M. L. Wu, “A novel Chinese reading comprehension model based on attention mechanism and convolutional neural networks,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2020), Adelaide, Australia, December, 2020, pp. 27~33. doi:10.1109/ICMLC51923.2020.9469533
  12. C. S. Fahn, C. P. Lee, and M. L. Wu, “A cross-dataset evaluation of anti-face-spoofing methods using random forest and convolutional neural network,” in Proceedings of the Artificial Intelligence and Cloud Computing Conference (AICCC 2019), Kobe, Japan, December, 2019, pp. 89~96. doi:10.1145/3375959.3375985
  13. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, “A real-time cloud detection system using an end-to-end multiscale deep learning approach,” in Proceedings of the International Conference on Astronautics and Space Exploration (iCASE 2019), Hsinchu, Taiwan, November, 2019.
  14. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, “A novel cloud detection and satellite attitude planning method for capturing cloudless remote sensing images,” in Proceedings of the International Conference on Astronautics and Space Exploration (iCASE 2019), Hsinchu, Taiwan, November, 2019.
  15. C. S. Fahn, J. Ling, M. Y. Yeh, M. L. Wu, Y .C. Lan, W. Y. Chao, H. C. Wu, Y. C. Huang, and T. Y. Lu, “A novel cloud detection and satellite attitude planning method for capturing cloudless remote sensing images,” in Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC 2019), Bangkok, Thailand, June, 2019.
  16. C. S. Fahn, C. Y. Pan, and M. L. Wu, “An aesthetic preference prediction system for assessing natural images based on photo complexity and composition evaluation,” in Proceedings of the IEEE Region 10 Conference (TENCON 2018), Jeju Island, South Korea, October, 2018, pp. 634~639. doi:10.1109/TENCON.2018.8650544
  17. M. L. Wu and C. S. Fahn, “A real-time professional photographing guiding system through image composition analysis,” in Proceedings of the International Conference on Human-Computer Interaction International (HCII 2017), Vancouver, Canada, July, 2017, pp. 466~477. doi:10.1007/978-3-319-57987-0_38
  18. C. S. Fahn, M. L. Wu, and C. C. Liu, “A surveillance video condensation system based on the spatial and temporal rearrangement of moving object trajectories,” in Proceedings of the International Conference on International Workshop on Advanced Image Technology (IWAIT 2017), Penang, Malaysia, January, 2017.
  19. M. L. Wu and C. S. Fahn, “A decision tree based image enhancement instruction system for producing contemporary style images,” in Proceedings of the International Conference on Human-Computer Interaction International (HCII 2016), Toronto, Canada, July, 2016, pp. 80~90. doi:10.1007/978-3-319-40349-6_9
  20. H. F. Ho, M. L. Wu, P. Y. Hsiao, and G. A. Chen, “Feasibility of an asymmetric hyperboloid mirror for surveillance systems,” in Proceedings of the International Conference on Digital Signal Processing (DSP 2015), Singapore, Singapore, July, 2015, pp. 868~872. doi:10.1109/ICDSP.2015.7252000
  21. C. S. Fahn, B. Y. Su, and M. L. Wu, “Vision-based identification extraction for freight containers,” in Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2015), Guangzhou, China, July, 2015, pp. 51~57. doi:10.1109/ICWAPR.2015.7295925
  22. C. S. Fahn, B. Y. Su, and M. L. Wu, “A virtual handwriting tablet based on pen shadow cues,” in Proceedings of the International Conference on Human-Computer Interaction International (HCII 2014), Crete, Greece, June, 2014, pp. 224~233. doi:10.1007/978-3-319-07230-2_22
  23. C. S. Fahn and M. L. Wu, “An autonomous aesthetics-driven photographing instructor with personality prediction,” in Proceedings of the International Conference on Computer Graphics,Visualization, Computer Vision, and Game Technology (CGVCVIP 2013), Jakarta, Indonesia, December, 2013, pp. 13~19. doi:10.2991/visio-13.2014.3
  24. C. S. Fahn, M. L. Wu, and W. T. Liu, “On the use of augmented reality technology for creating interactive computer games,” in Proceedings of the International Conference on Virtual, Augmented and Mixed Reality Systems (VAMR 2013), Las Vegas, Nevada, July, 2013, pp. 353~362. doi:10.1007/978-3-642-39420-1_37

國內研討會論文 Domestic Conference Papers

  1. G. Y. Chen and M. L. Wu, “SFFTT: A Shared-Parameter and Fast Fourier Transform Lite Transformer,” in Proceedings of the International Conference on Smart Computing Forum 智慧運算論壇 (SCF 2025), 台北, 中華民國, July, 2025. (最佳論文獎佳作)
  2. 吳孟倫, 鄭宇翔, 周騏軍, 陳冠宇, 林延昕 , “從判決到預測：台灣法院判決文之車禍慰撫金建模前處理研究,” in Proceedings of the Information Technology and Applications Conference 資訊科技應用國際學術研討會 (ITAC 2025), 台北, 中華民國, April, 2025. (最佳論文獎)
  3. Y. S. Chen, H. C. Chi, M. L. Wu, and E. C. Sung, “A machine learning based prediction system of medical laws judgment using statute-classified decision tree with text similarity,” in Proceedings of the Taiwan Academic Network Conference 台灣網際網路研討會 (TANET 2018), Taoyuan, Taiwan, October, 2018. (Best Paper Award)
  4. H. W. Yang, C. Y. Kao, and M. L. Wu, “The mechanisms of mobile devices for site to site instruction in tourist areas,” in Proceedings of the International Conference on Information Management & Practice 國際資訊管理暨實務研討會 (IMP 2015), Taichung, Taiwan (R.O.C.), November, 2015.
  5. Huei-Wen Yang, Chang-Yi Kao, and Meng-Luen Wu, “Online to offline guiding and promotion systems for international malls by the use of internet of things technology,” in Proceedings of the International Conference on Information Management & Practice 國際資訊管理暨實務研討會 (IMP 2015), Taichung, Taiwan (R.O.C.), November, 2015.
  6. H. W. Yang, C. Y. Kao, and M. L. Wu, “IoT based cross-site tourist guiding system through big data analysis,” in Proceedings of the International Conference on Taiwan Academic Network 台灣網際網路研討會 (TANET 2015), Nantou, Taiwan (R.O.C.), October, 2015.
  7. H. W. Yang, C. Y. Kao and M. L. Wu, “On the deployment of IoT technology for international malls,” in Proceedings of the Annual Conference of the Chinese Society for Management of Technology 中華民國科技管理學會 (TITA 2014), Hsinchu, Taiwan (R.O.C.), December, 2014.

專書論文 Book Chapters

  1. C. S. Fahn and M. L. Wu, “On the design of a photo beauty measurement mechanism,” in Perception of Beauty, M. P. Levine, Ed. Rijeka, Croatia: InTech Open, October, 2017. doi:10.5772/intechopen.69502

專利 Patents

  1. C. S. Fahn and M. L. Wu, “自動尋景拍攝方法及其系統,” R.O.C. Patent I532361, May, 2016.
  2. C. S. Fahn, M. L. Wu, and C. C. Liu, “一種影片濃縮之系統及方法,” R.O.C. Patent I511058, December, 2015.
  3. C. S. Fahn and M. L. Wu, “Automatic photographing method and system thereof,” U. S. Patent 9 106 838, August, 2015.

教學 Teach

*Only Preferred Courses are listed 僅列出專長課程

淡江大學Tamkang University

2024 Academic Year
  • 2024-2 智應一碩士班：資料科學 TEIEM1E4039 0A
  • 2024-2 資工一全英碩：電腦視覺 TEIBM1E0703 0A
  • 2024-2 資工三：專題實驗（二） TEIXB3E3085 0F
  • 2024-2 資工一：程式語言(一) TEIXB1E3635 0A
  • 2024-1 資工三：作業系統 TEIXB3E0175 0B
  • 2024-1 資工一：程式語言(二) TEIXB1E3636 0A
  • 2024-1 資工一全英碩：數位影像處理 TEIBM1A1927 0A
  • 2024-1 資工二：統計學習 TEIXB2S0951 0B
2023 Academic Year
  • 2023-2 智應一碩士班：資料科學 TEIEM1E4039 0A
  • 2023-2 資工二：資料庫 TEIXB2E0644 0A
  • 2023-2 資工一全英碩：電腦視覺 TEIBM1E0703 0A
  • 2023-2 資工一：程式語言(一) TEIXB1E3635 0B
  • 2023-1 資工一全英碩：數位影像處理 TEIBM1A1927 0A
  • 2023-1 資工一：程式語言(一) TEIXB1E3635 0C
  • 2023-1 資工三：作業系統 TEIXB3E0175 0B
2022 Academic Year
  • 2022-2 資工一：計算機程式語言（四） TEIXB1E3995 0C
  • 2022-2 資工一：計算機程式語言（三） TEIXB1E3994 0C
  • 2022-2 資工一全英碩：電腦視覺 TEIBM1E0703 0A
  • 2022-2 智應一碩士班：資料科學 TEIEM1E4039 0A
  • 2022-1 資工一：計算機程式語言（一） TEIXB1E3993 0C
  • 2022-1 資工三：作業系統 TEIXB3E0175 0A
  • 2022-1 資工一全英碩：數位影像處理 TEIBM1A1927 0A
  • 2022-1 資工一：計算機程式語言（二） TEIXB1E0343 0C
2021 Academic Year
  • 2021-2 資工一：計算機程式語言（三） TEIXB1E3994 0C
  • 2021-2 資工一：計算機程式語言（二） TEIXB1E0343 0A
  • 2021-2 資工一全英碩：電腦視覺 TEIBM1E0703 0A
  • 2021-2 資工一：計算機程式語言（三） TEIXB1E3994 0D
  • 2021-2 智應一碩士班：資料科學 TEIEM1E4039 0A
  • 2021-1 資工一：計算機程式語言（二） TEIXB1E0343 0C
  • 2021-1 資工一：計算機程式語言（一） TEIXB1E3993 0C
  • 2021-1 資工三：作業系統 TEIXB3E0175 0C
  • 2021-1 資工一全英碩：數位影像處理 TEIBM1A1927 0A
2020 Academic Year
  • 2020-2 資工進學班一：機率統計 TEIXE1E3764 0A

學會校友會服務 Associations

  • 2025-08 國立台北大學電機資訊學院校友會常務理事

演講 Invited Talks

  • 2025年10月17日，受邀至國立臺北大學 第五屆雙北法與醫藥生技論壇 智慧醫療與法律 作為論文「Applying Fine-Tuned BERT Models to Identify Latent Risks in Medical Conversations」 與談人
  • 2024年04月24日，受邀至國立臺北大學法律學院演講「深度學習與生成式人工智慧在法律科技的角色」
  • 2024年04月17日，受邀至國立臺北大學法律學院演講「科技法律與機器學習：原理與偏見之探討」
  • 2023年04月26日，受邀至國立聯合大學電機系演講「將手寫字轉換為書法字體之技術」
  • 2020年10月15日，受邀至東吳大學資管系演講 「How to Find a Good AI Research Topic」。
  • 2019年09月27日，受邀至國立臺北大學電機資訊學院演講「Recent Applications in Artificial Intelligence」

論文審查 Paper Review

  • 2025 The Photogrammetric Record
  • 2025 Computer Modeling in Engineering & Sciences
  • 2025 Journal of Applied Science and Engineering
  • 2025 Journal of the Chinese Institute of Engineers
  • 2024 International Conference of Machine Learning and Cybernetics
  • 2024 Automation
  • 2024 Supercomputing
  • 2024 Journal of the Chinese Institute of Engineers
  • 2024 Sensors
  • 2023 Remote Sensing
  • 2022 Computers, Materials & Continua
  • 2022 Current Medical Imaging
  • 2021 The International Symposium on Algorithms and Computation
  • 2021 Journal of International Cooperation
  • 2019 Mathematical Problems in Engineering

出席學術會議 Attendance of Academic Meetings

  • 2024年03月28日 受邀出席 東吳大學法律學院 舉辦於 東吳大學城中校區 之 「人工智慧應用下之勞動權益保障-就業歧視及勞工隱私權相關權益之影響與政策建議」學術會議
  • 2022年06月27日 受邀出席 新台灣國策智庫 舉辦於 新台灣國策智庫第一會議室 之 「持續進步的科技：對於政策訂定的機會與挑戰」學術會議