Brief portfolio

I’m Yong-Xiang (Sean) Lin, a Ph.D. candidate immersed in AI research, focusing on deep learning, computer vision, and large language models (LLMs). My proficiency in Microsoft Azure and AutoGen underscores my capability to craft impactful AI solutions. Leading over 20 master’s students and collaborating across disciplines showcases my leadership and ability to foster innovation. Actively seeking opportunities in Generative AI and Computer Vision, I am open to roles in Taiwan or remotely. My goal is to contribute to transformative AI projects. Let’s connect on LinkedIn to explore potential collaborations or opportunities.

About

I’m Yong-Xiang (Sean) Lin, a dedicated researcher and engineer with a focus on Computer Science and Information Engineering. Engaged in a Ph.D. at the National Taiwan University of Science and Technology, I delve into advanced research areas like deep learning, computer vision, and artificial intelligence, with a particular emphasis on generative AI and large language models (LLMs).

My journey in AI research is marked by a successful track record of translating theoretical concepts into practical applications, especially in the realms of generative AI and LLMs. I’ve developed sophisticated models that push the frontiers of how we interpret and generate data. My proficiency in leveraging Microsoft’s ecosystem, notably Azure and AutoGen, to merge multiple LLMs, stands out as a testament to my ability to enhance the efficiency and effectiveness of AI systems.

I distinguish myself by swiftly understanding and addressing client needs, devising tailored AI solutions that empower organizations across various sectors, including research institutes, the gaming industry, and electronics. My project management skills shine through as I identify client needs, define actionable project scopes, and deliver detailed reports. My portfolio showcases extensive AI project engagements with leading entities like the ITRI, the Institute for Information Industry, IGS Inc., and Delta Electronics, highlighting my skill in navigating and solving multifaceted challenges. My collaboration with Microsoft’s CTO on AI/LLM projects using AutoGen exemplifies my capability in crafting comprehensive solutions.

Leadership is a cornerstone of my professional identity, particularly demonstrated during my Ph.D., where I mentored over 20 master’s students, promoting a culture of innovation and scholarly pursuit. My collaborative efforts with professors across various disciplines, such as Computer Science and Engineering, Industrial Management, and Electronics Engineering, illustrate my versatile leadership style. My role as President of the NTUST Computer Club during my undergraduate years further reflects my ability to lead and inspire a community engaged in technology and innovation.

I am actively seeking new opportunities and am prepared to join a forward-thinking team by the end of this year. My interests lie in Generative AI, Computer Vision, and AI Research, and I am open to roles in Taiwan, other Asian locales, or remotely, eager to contribute to projects that harness AI for transformative outcomes.

For potential collaborations or career opportunities, I encourage you to reach out to me on LinkedIn. I am excited about the possibility of leveraging my AI expertise to contribute to your organization’s success.

姓名：林詠翔

專業領域：深度學習、電腦視覺、Large Language Models(LLM)、生成式 AI(Generative AI)

個人介紹：

目前就讀於國立臺灣科技大學資工所的博士班學生，作為一名熱衷於人工智慧和機器學習的博士生，我專注於深度學習、電腦視覺和Large Language Models的創新應用。我在這些領域擁有豐富的實戰經驗，包括但不限於演算法開發、模型訓練和數據分析。我對於利用這些先進技術解決實際問題充滿熱情。

除了技術專長，我還在 Medium上積極經營個人專欄，分享關於深度學習、電腦視覺和 Large Language Models 的最新進展、實用技巧和行業趨勢。透過我的文章，我與全球讀者交流知識，提供專業見解，並促進了行業的知識共享和創新。

關鍵技能：

深度學習：專精於神經網絡、機器學習演算法和模型最佳化。 電腦視覺：經驗豐富於影像識別、物體檢測和影像處理技術。 Large Language Models：深入理解並實踐過多種LLM應用，包括文本生成、自然語言理解和語言模型訓練。 內容創作：通過Medium平台撰寫和發布高質量的技術文章。 聯繫方式：

電子郵件：[您的電子郵件] LinkedIn：[您的LinkedIn個人頁面] Medium：[您的Medium個人專欄連結]

。

Pursuing a Ph.D. in Computer Science from Taiwan University of Science and Technology (NTUST). Committed to the field of computer vision, share the latest papers on my blog.

CV

Medium

Language

• Chinese: Native
• English: TOEIC 845
• Japanese: JLPT N2

Education

Sep 2020 – Present
國立臺灣科技大學-資工所。
Ph.D. Studnet, Department of CS at National Taiwan University of Science and Technology，Taiwan Tech
Research field: Computer Vision based on Deep learning.
Multimedia and Visual Computing Laboratory advised by Prof. Kai-lung Hua.

Sep 2019 – Mar 2020
RWTH Aachen University, Germany
Exchange Student, Faculty of Electrical Engineering and Information Technology.

Feb 2018 – Mar 2020
國立臺灣科技大學-資工所。
Master degree in Computer Science at National Taiwan University of Science and Technology，Taiwan Tech
Research field: Computer Vision based on Deep learning.
Published 2 journals and 2 conference papers, including 1 IEEE Transaction, and 1 oral paper in the best IEEE image processing conference(ICIP).
Master’s thesis: Adapting Semantic Segmentation of Urban Scenes via Mask-aware Gated Discriminator.
The 13th Best Master Thesis Award of Chinese Image Processing and Pattern Recognition Society(IPPR).

Sep 2014 – Jan 2018
國立臺灣科技大學，主修資工系。
Bachelor in Computer Science at National Taiwan University of Science and Technology，Taiwan Tech
Early Graduation based on Academic Excellence, GPA - 3.91/4.0 (Ranked 3rd out of 53).
Academic Excellence Award, Awarded to top 5% students in class each semester.

Publication

• Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, Mohammad Tanveer, Xuequan Lu, Imran Razzak. “GRA: Graph Representation Alignment for Semi-Supervised Action Recognition,” to appear in IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024. (Impact Factor 2022: 10.451).
• Yao-Bang Huang, Yong-Xiang Lin, Ahmad Fauzan Aqil, Yung-Yao Chen, Kai-Lung Hua. “Graph Involutional Networks with Dynamic Feature Fusion for Skeleton-Based Action Recognition.” In Proceedings of the 2024 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, Jan. 5-8, 2024.
• Balin Lin, Yong-Xiang Lin, Bayisa Kune Mamade, Yung-Yao Chen, Kai-Lung Hua. “GazeVAE: Gaze Visual Attention Estimator.” In Proceedings of the 2024 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, Jan. 5-8, 2024.
• Jilyan Dy, John Jethro Virtusio, Daniel Tan, Yong-Xiang Lin, Joel Ilao, Yung-Yao Chen, Kai-Lung Hua. “MCGAN: Mask Controlled Generative Adversarial Network for Image Retargeting,” Neural Computing and Applications (NCAA), vol. 35, pp. 1-13, Feb. 2023. (Impact Factor 2021: 5.102).
• Yong-Xiang Lin, Daniel Stanley Tan, Yung-Yao Chen, Ching-Chun Huang, and Kai-Lung Hua. “Domain Adaptation with Foreground/Background Cues and Gated Discriminators,”IEEE MultiMedia Magazine, vol. 27, no. 3, pp. 44-53, Jul-Sep. 2020. (Impact Factor 2019: 4.962).
• Daniel Stanley Tan, Yong-Xiang Lin, and Kai-Lung Hua. “Incremental Learning of Multi-Domain Image-to-Image Translations,” to appear in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT). (Impact Factor 2019: 4.133).
• Yu-Cheng Liu, Mohammad Shahid, Wannaporn Sarapugdi, Yong-Xiang Lin, Jyh-Cheng Chen, Kai-Lung Hua, Cascaded Atrous Dual Attention U-Net for Tumor Segmentation, Multimedia Tools and Applications (MTAP). (Impact Factor 2019: 2.313).
• Yong-Xiang Lin, Daniel Tan, Wen-Huang Cheng, Yung-Yao Chen, and Kai-Lung Hua. “Spatially-aware Domain Adaptation for Semantic Segmentation.” In Proceedings of the IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, Sep. 22 - 25, 2019.
• Yong-Xiang Lin, Daniel Stanley Tan, Wen-Huang Cheng, Kai-Lung Hua. “Adapting Semantic Segmentation of Urban Scenes via Mask-aware Gated Discriminator,” In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), Shanghai, China, Jul. 8 - 12, 2019.

Awards

• 2019 中華民國影像處理與圖形識別學會(IPPR)第十三屆博碩士論文獎碩士論文優等獎 論文題目：基於遮罩門控鑑別器之自適應城市場景語意分割模型
• 2013 金手獎 102年度全國高中職工科技藝競賽-電腦軟體設計工 金手獎第三名

Experience

Feb 2021 – Aug 2021 Present Special Assistant to the Dean Office of Industry-Academia Collaboration at NTUST

We provide and integrate inter-disciplinary resources to accelerate, expand and promote the development of international connections, we will maximize the synergy between industry and academia.

Jun 2019 - Aug 2019 Computer Vision Engineer Intern, Viscovery Inc.

Feb 2019 – Jun 2019 計算機程式實習 Teacher Assistant

Course Code : IM1202301 Lecturer:蔡欣男

Course Code : IM1202302 Lecturer:楊朝龍

教導工管系學生寫 Python

July 2015 – Apr 2017 CEO/President at 臺灣科技大學電腦研習社

學校的學藝性社團，從事電腦相關的資訊推廣，以及教導同學們如何撰寫程式,使用套裝軟體等.

• 活動主辦
• 課程規劃
• 教授課程

Jun 2017 – Jan 2018 遠傳資料分析

做資料探勘分析客戶喜好，以期望精準行銷。