About Me

我是國立臺灣大學資訊工程所的博士生，
同時擔任和碩聯合科技的 AI 研究團隊主管（目前留職停薪進修中）。

我的核心研究領域為基於深度學習的推薦系統， 並對 VLA、Reinforcement Learning、 Generative AI、AI Agent 及social networking有濃厚興趣和持續研究中。
在學術成果方面，我擁有國立成功大學碩士學位，
碩士期間同樣專注於深度學習推薦系統，其研究成果已成功發表於 IEEE 頂尖國際期刊 TKDE。
在業界實務上，我近期專注於LLM/VLM等生成式 AI 模型的訓練與微調，
並將其導入工業級深度學習平台與實際場域中。
此外，我在電腦視覺（CV）、時間序列數據分析及自然語言處理（NLP）等領域，
皆具備深厚的專業知識與豐富的應用開發經驗。

在工具與技術方面，

  • AI Agent 開發工具：熟練運用 Claude Code、Codex、OpenCode 等
  • 人工智慧框架：精通 PyTorch、Keras 等主流框架
  • 後端開發框架：精通 Django、FastAPI 等

I am currently a Ph.D. student in the Department of Computer Science and Information Engineering (CSIE) at National Taiwan University (NTU), while also serving as an AI Research Team Lead at Pegatron Corporation (currently on study leave).

My primary research focuses on deep learning-based recommendation systems, with strong academic interests and research experience in Vision-Language-Action (VLA) models, reinforcement learning, generative AI, AI agents, and social networking.
I also hold a master's degree from National Cheng Kung University (NCKU). During my master's studies, my research on deep learning recommendation systems was published in IEEE TKDE, a top-tier international journal in the field.
On the industry side, my recent focus has been on training, fine-tuning, and deploying generative AI models within industrial-grade deep learning platforms and real-world scenarios. Additionally, I possess solid domain expertise and hands-on development experience in computer vision (CV), time-series data analysis, and natural language processing (NLP).

In terms of tools and technical stack:

  • AI Agent Tools: Highly proficient in Claude Code, Codex, and OpenCode
  • AI Frameworks: Deep expertise in leading frameworks like PyTorch and Keras
  • Backend Frameworks: Experienced in Django and FastAPI

Experience

  1. Ph.D. Student — CSIE, National Taiwan University

    2024 — Present

    Ph.D. student at NTU IRLab, advised by Prof. Pu-Jen Cheng. I specialize in Recommendation Systems, AI Agents, and Generative AI, while actively exploring RL and VLA models.

  2. Machine Learning Engineer / Research Team Lead — PEGAAi, Pegatron Corporation

    2020 — present (currently on study leave)

    AI Research Team Lead at Pegatron, specializing in GenAI (LLM/VLM) for industrial applications. I lead the full pipeline from fine-tuning to real-world deployment, built on a strong CV/NLP foundation.

  3. M.S. in Computer Science — National Cheng Kung University (NCKU)

    2018 — 2020

    GPA: 3.8 Extracurriculars: CSIE Table Tennis Team

    As a member of Professor Jung-Hsien Chiang's Intelligent Information Retrieval Laboratory. Published thesis as a regular paper at top-ranked journal IEEE Transactions on Knowledge and Data Engineering (TKDE, IF: 10.4, h5-index: 126, Ranked #1 in Google Scholar Databases & Information Systems).

    Research

    • Major in deep recommendation systems and information retrieval.
    • Researched in medical image processing, generative models, and deep reinforcement learning.

    Project

    • Co-worked with physicians in NCKU hospital to develop an automatic interstitial lung disease (ILD) segmentation system.
    • Developed multiple recommendation systems and an adaptive questionnaire system as part of the MOST AI Project.

  4. Bachelor's Degree, Computer Science — University of Taipei (UT)

    2014 — 2018

    Extracurriculars: Table Tennis Club, University Table Tennis Team. Served as a Teaching Assistant for Discrete Mathematics.

  5. High School — The Affiliated Senior High School of National Taiwan Normal University (HSNU)

    2011 — 2014