About Me
News
🎉 August 2025: Two papers accepted to RecSys 2025 (ACM)!
📄 D-RDW: Diversity-Driven Random Walks for News Recommender Systems
Paper Link📄 Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations
Paper LinkFebruary 2025: Joined DDIS research group as Research Assistant 🚀
Education
MSc in Informatics, University of Zurich
Sep 2021 – April 2025
🏆 Awarded Summa Cum Laude
Major: Software Systems, Minor: Data Science
Supervisors: Prof. Abraham Bernstein, Dr. Oana Inel, Dr. Lucien Heitz
MPhil (Research), The Hong Kong Polytechnic University
Aug 2016 – September 2019
Research Focus: Computer Graphics × Fashion Design (Interdisciplinary)
Specialized in virtual clothing simulation for customized user avatars, integrating computer vision and computer graphics techniques. Developed a system for realistic garment fitting and rendering on personalized 3D human models.
Supervisors: Prof. Tracy Mok
B.Eng., University of Electronic Science and Technology of China (电子科技大学)
Sep 2012 – Jul 2016
Major: Communications Engineering
Focused on communication systems, signal processing, and wireless communications technologies.
Featured Projects
AI Fashion Assistant
Jul 2025 – Aug 2025A fashion chatbot powered by Retrieval-Augmented Generation (RAG) and Large Language Models. The application integrates fashion knowledge base to provide fashion advice and outfit recommendations through conversational AI.
Diversity-Driven News Recommender System
Apr 2023 – June 2025Contributed to Informfully Recommenders and proposed a novel diversity-driven random walks (D-RDW) recommendation model. The algorithm can also be applied to e-commerce traffic allocation and exposure control systems.
Key Contributions:
- •Authored the D-RDW model for my Master's thesis, utilizing a Normalized Target Distribution (NTD) mechanism to dynamically control multi-dimensional item distributions and enhance recommendation diversity.
- •Validated model efficacy where the lightweight D-RDW algorithm achieved competitive performance while reducing energy consumption by an order of magnitude compared to baseline models.
- •Built open-source news text feature augmentation pipelines for NLP tasks (named entity extraction, classification, tokenization, transformers, sentiment analysis).
- •Implemented re-ranking methods and extended the Cornac framework for recommender systems.
- •Contributed to the open-source Informfully recommendation system development and research publications.
Virtual Clothing Simulation and Fashion Applications
Sep 2016 – Apr 2021Comprehensive research project conducted during MPhil study and professional work in Hong Kong, focusing on computer-aided fashion design, virtual clothing simulation, and automatic human modeling techniques.
Key Contributions:
- •Developed an Intelligent Virtual Fitting system that automatically fits clothing patterns on customized 3D human body models.
- •Created algorithms for automatic pattern preprocessing and prepositioning, reducing garment simulation setup time from hours to minutes.
- •Implemented garment simulation methods combining Finite Element Method (FEM) and real-time rendering techniques for optimal web-based performance.
- •Integrated human body model representation techniques that accurately capture individual shape characteristics, moving beyond standard mannequins to personalized avatars.
Publications & Research:
- 📄Intelligent clothing size and fit recommendations based on human model customisation technology
- 📄Fashion recommendations using text mining and multiple content attributes
- 📄Describing clothing in human images : a parsing-pose integrated approach
- 📄A Virtual Fitting System Based on Human Model Customization Technology
- 📄An investigation on the state-of-the-art virtual fitting technologies and the applications in fashion retail e-commerce
More Projects
View All Projects →Drawing & Guessing: Interactive Web Game
Full-stack software development project where I led a team of five to design and...
Chinese News Classification System
Machine learning system for automatically categorizing Chinese news articles usi...
BlockChain Analysis and Comparison
Learn and analyze several blockchain platforms, e.g., Binance Smart Chain, exami...
Experience
Research Assistant at DDIS, University of Zurich
Feb 2025 – April 2025📍 Zurich, Switzerland
Key Technologies:
📍 Hong Kong
Key Technologies:
Research Intern - Computer-Aided Fashion Intelligence Research Group
May 2019 – Oct 2020📍 Hong Kong
Key Technologies:
Skills
💻Programming Languages
Python, JavaScript, Java, C++, C, OpenGL, SQL, HTML5/CSS
🌐Web Development & Full-Stack Systems
React, Node.js, Spring Boot, RESTful APIs
🤖Data Science & Machine Learning
Deep Learning (PyTorch, TensorFlow), Classical ML (Scikit-learn), NLP, CV, Data Analysis (Pandas, NumPy)
🧠LLM & Generative AI
RAG Systems, Vector Databases (Chroma), OpenAI API, Prompt Engineering, Conversational AI, Information Retrieval
🗄️Databases & Data Management
PostgreSQL, MySQL, Vector Databases, ETL Pipelines
☁️Cloud & DevOps
Google Cloud Platform, Docker, CI/CD (GitHub Actions), Git, Linux/Unix Systems
🎯Specialized Domains
Computer Graphics, Virtual Try-on Systems, Recommender Systems
⛓️Blockchain & Web3 Foundations
Consensus Mechanisms, Crypto-economics, DeFi Concepts, Smart Contract Basics
📊Research & Academic Tools
Academic Writing, Data Visualization, Statistical Analysis, Research Methodology, Literature Review
Languages
English
Proficient Professional (IELTS 7.0, 2014 National English Competition for College Students Third Prize - China)
Chinese Mandarin
Native
Cantonese
Basic