Hello, I’m Tsun-Hin Cheung👋, a full-stack developer and researcher. I hold a PhD degree in Electrical and Electronic Engineering from The Hong Kong Polytechnic University, specializing in deep learning and big data analysis. My research interests revolve around Deep Learning, Natural Language Processing, and Social Computing, with a particular focus on misinformation detection on social media. Over the past 5+ years, I have built a strong foundation in AI and machine learning, with practical experience in developing machine learning algorithms, including applications such as social media monitoring and chatbot development.
My Tech Stack
-
Frontend : React, React Native
-
Backend : Express.js, Flask
-
Databases : MySQL, MongoDB, Neo4j
-
Data Crawling : Scrapy, Beautifulsoup
-
Machine Learning Framework : PyTorch, Huggingface, Pytorch Geometric
-
Cloud Services : AWS, Google Cloud Platform
News
- A paper "FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking" has been accepted for publication in APSIPA ASC 2023!
- A paper 'Causal Diffused Graph-Transformer Network with Stacked Early Classification Loss for Efficient Stream Classification of Rumours' has been accepted for publication in Knowledge-Based Systems!
- A paper 'Crossmodal bipolar attention for multimodal classification on social media' has been accepted for publication in Neurocomputing!
- A paper Simultaneous Fake News and Topic Classification via Auxiliary Task Learning' has been accepted for publication in APSIPA ASC!