I’m Lucas Chan, an MPhil student at HKUST, working under the guidance of Professor Yangqiu Song. My research spans embedding models and LLM reasoning. I hold a Bachelor’s degree with a double major in Computer Science & Electronic Engineering (First Class Honours) from HKUST.
I have been working as an AI Research Intern at Amber Group, where my work focuses on LLM training and AI Agent applications. In my spare time, I also build some interesting projects. View my GitHub to explore those gripping projects.
- Representation Learning - Latent Space, Representation Similarity, and Manifold
- Large Language Models — Reasoning, training, alignment, and safety
- AI Agents — Autonomous systems, tool use, and multi-agent cooperation
- Do Reasoning Models Enhance Embedding Models?
- An Effective and Cost-Efficient Agentic Framework for Ethereum Smart Contract Auditing
- Federated Edge AI for 6G — Federated learning with FedDyn and RIS-FL for computation/communication heterogeneity
- Neural Network Framework — PyTorch-like C++ framework built from scratch (STL only) with dynamic module stacking
- Neural Stock Prophet - PyPI package for stock forecasting using LSTM, Attention, and ARIMA
Coding • AI News • Stock Trading • Gym