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I'm Hsiao-Yuan (Jessie) Chin, a Master's student in Information Management at NTU with a rich background in Psychology. My academic pursuits are focused on blending Information Technology, Psychology, Management, and UI/UX Design.

I am deeply invested in Human-Computer Interaction, Artificial Intelligence, and Computer Graphics, actively contributing to research projects at NTU's Communication and Multimedia Laboratory. With a broad range of experience spanning computer graphics research, software, and web development, and complemented by scholarly publications, I am passionate about applying interdisciplinary knowledge to solve real-world challenges.

I'm currently exploring internship opportunities in AI, software engineering, and IT development. If you’re interested in collaborating or just want to chat, feel free to reach out via email or connect with me on LinkedIn!

• Master of Business Administration in Management Information Systems, National Taiwan University (2023 - Expected 2025)
  
• Bachelor of Science in Psychology, National Taiwan University (2019 - 2023)

• 📄 Palette-Based and Harmony-Guided Colorization for Vector Icons
  • Computer Graphics Forum, Vol. 42, No. 7, (Proceedings of Pacific Graphics 2023 (PG 2023), Daejeon, Korea), 2023.
  • A palette-based colorization algorithm for vector icons without the need for rasterization.

• 📊 Computer Vision Practice with Deep Learning @ NTU CSIE 2023 Spring
  • Projects on Transformer-Based Object Detection, Generic Object Detection, and Data Augmentation.
  • Techniques: DINO framework, DETR models, knowledge distillation, CLIP, RegionCLIP, BLIP2, GLIGEN.
  • Achievements: Improved object detection accuracy, addressed data imbalance, published academic papers.
• 📝 Information Retrieval and Text Mining @ NTUIM 2023 Spring
  • Assignments in Term Extraction, TF-IDF Vectorization, Multinomial Naive Bayes Classifier, and Hierarchical Agglomerative Clustering.
  • Skills: Text processing, cosine similarity calculation, document classification, cluster analysis.
  • Tools: Porter Stemmer, Python, cosine similarity function, custom HEAP for clustering.
• 🖥️ Human Computer Interaction and User Studies @ NTUIM 2023 Spring
  • Developed the "Gift 4 U" cross-platform mobile application.
  • Technologies: React Native, Expo, TypeScript.
  • Features: User Authentication, Search Functionality, Shopping Cart, Profile Management, Gift Games.

• 🖼️ VisProg Framework Enhancement with LLM Integration
  • Enhanced the VisProg framework by integrating Large Language Models (LLMs) like Llama2 and GPT-3 for advanced computer vision tasks.
  • Implemented novel applications in style transfer, 2D to 3D conversion, super resolution, text to image, and depth estimation, improving adaptability and scalability.
  • Addressed cost efficiency by transitioning to open-source LLMs and innovating with technologies like DFN and CLIP for improved classification accuracy.
• 🛍️ STYLiSH E-commerce Website
  • Developed an e-commerce web app with React and Node.js, established AWS and Docker-based cloud infrastructures, and integrated third-party APIs.
• 📈 Quantitative Trading Platform
  • Developed a user-friendly quantitative trading platform website service and integrated major exchange APIs services.
• 🌐 Social Media Text Mining Research
  • Conducted text mining research with TFIDF and BERT algorithms and utilized data visualization in Python.
• 🎨 Color Experiment Project
  • Developed a 3D interactive plotting program to support conversion between different color spaces using Python.

• OpenHCI 2023 - Technology Minister
  
• AppWorks School Software Engineering Campus Program - Trainee
  
• Create Art Talks & NYCU - Back-end Developer Intern
• Programming Design & Programming for Business Computing in NTUIM - Teaching Assistant
• Database Management in NTUIM - Teaching Assistant
• Interactive Graphics (and Multimedia) Laboratory in NTUIM & NTUCSIE - Research Assistant