~ last modified: 8/11/2025
Wangpok Tse (谢宏博)
- I am an undergraduate student at the University of Hong Kong, pursuing two bachelor degrees, BEng in computer engineering and BBA in finance. I am interested in Generative AI and 3D Computer Vision, especially in Digital Humans. Hope my research works can be useful in the game/movie industry. Additionally, I am also interested in Quantitative Finance and AI for Investment.
Educations
- 2027, Bachelor of Business Administration in finance (double degree), the University of Hong Kong
- 2026, Bachelor of Engineering in computer engineering (double degree), the University of Hong Kong
- 2022, Hong Kong Kowloon Tong Heung To Middle School
Industry Experiences
- 2025.06 - 2025.09, AI Agent Developer Intern at the BPS Global Group, Hong Kong.
- 2023.12 - 2024.01, Data Scientist AI Intern at the SmartAge Intelligence Limited, Hong Kong.
Research Experiences
- 2025.06 - Present, Research Assistant at the HKUST Intelligent Graphics Lab, supervised by Prof. Yuan Liu.
- 2024.05 - 2025.04, Research Assistant at the HKU Computer Graphics and Visualization Lab, supervised by Prof. Taku Komura.
Publications
InterAct: A Large-Scale Dataset of Dynamic, Expressive and Interactive Activities between Two People in Daily Scenarios
Leo Ho*, Yinghao Huang*, Dafei Qin, Mingyi Shi, Wangpok Tse, Wei Liu, Junichi Yamagishi, Taku Komura
Symposium on Computer Animation (SCA) 2025
*Joint first author
[webpage] [video] [paper]
Leo Ho*, Yinghao Huang*, Dafei Qin, Mingyi Shi, Wangpok Tse, Wei Liu, Junichi Yamagishi, Taku Komura
Symposium on Computer Animation (SCA) 2025
*Joint first author
[webpage] [video] [paper]
Projects
Algorithmic Stock Trading Strategies
Python implementation for different stock trading strategies (Rule-Based Trading Strategies & Machine Learning-Based Strategies), including implementation module, backtesting module, visualization module. Eg:
- Russel 2000 rebalancing strategy
- Rubber band trading strategy
- MFI indicator strategy
- S&P 500, gold, and bonds rotation momentum strategy
- LSTM model for stock prediction
[GitHub]
Python implementation for different stock trading strategies (Rule-Based Trading Strategies & Machine Learning-Based Strategies), including implementation module, backtesting module, visualization module. Eg:
- Russel 2000 rebalancing strategy
- Rubber band trading strategy
- MFI indicator strategy
- S&P 500, gold, and bonds rotation momentum strategy
- LSTM model for stock prediction
[GitHub]
SentimentSage: A Stock Market News Sentiment Analysis AI Software with RAG
SentimentSage is a powerful AI-driven platform designed to provide deep insights and analytics on financial news and market sentiment. Using Natural Language Processing (NLP) models like FinBERT, combined with advanced Retrieval-Augmented Generation (RAG) technology, it can quickly analyze vast amounts of financial news, extract sentiment, and generate real-time sentiment analysis and risk assessments.
[webpage] [GitHub]
SentimentSage is a powerful AI-driven platform designed to provide deep insights and analytics on financial news and market sentiment. Using Natural Language Processing (NLP) models like FinBERT, combined with advanced Retrieval-Augmented Generation (RAG) technology, it can quickly analyze vast amounts of financial news, extract sentiment, and generate real-time sentiment analysis and risk assessments.
[webpage] [GitHub]
Honors and Awards
- 2023 - 2024 HKU Dean’s Award for Engineering Student Scholarship ($10000)
- 2022 - 2023 HKU Dean’s Award for Engineering Student Scholarship ($10000)
- 2023 GBAI HK-Macau Student Innovation and Entrepreneurship Camp 2nd Award
- 2022 Hong Kong Hakka Students Scholarship ($5000)
- 2021 Hong Kong Hakka Students Scholarship ($5000)
- 2020 Hong Kong Physics Olympiad Honourable Mention Award