0%
Schedule February
👋 Welcome to my Blog.

Hi, I'm Yanqiao Chen

|

This is my blog for my technical notes, project updates and publications.

🎯

Research Focus

Context Engineering and Reinforcement Learning. Apart from that, I am also interested in the scaling optimization method design and the theoretical aspects of deep learning and the interpretability of large language models.

🎓
Final Review
期末复习专栏
📂
Browse Columns
按专栏浏览笔记

📝 What's New?

View All →

🎓 Final Reviews

View All →

💼 My Work in Research

View All →
Mar2026 - Present Algorithmica Under Preparation

SUSTech Theory of AI Lab

Undergraduate Researcher

Working on the theoretical analysis of randomised search heuristics and genetic programming, supervised by Prof. Pietro Simone Oliveto in collaboration with Mingxuan Yin. The current direction focuses on runtime analysis and generalisation bounds, with a submission target including Algorithmica.

My contribution includes deriving runtime bounds, formalising proof arguments, and exploring how algorithmic parameters affect generalisation in evolutionary search.

Keywords / skills involved: probabilistic methods, drift theorems, runtime analysis, evolutionary algorithms, mathematical proofs.

Feb2026 - Jun2026 NeurIPS 2026 Under Review

Individual Researcher

Second Author

Second author of a small-target recognition project currently under review at NeurIPS 2026. The work focuses on improving detection and representation learning for low-resolution or weakly salient objects under challenging visual conditions.

My contribution involves model design choices, training pipeline engineering, and extensive experiments on benchmark datasets to validate the proposed approach.

Keywords / skills involved: object detection, low-resolution vision, attention mechanisms, representation learning, PyTorch.

🚀 Recently, I am working on...

View All →

🤝 Keep in Touch...