About Me
I am a PhD student at Imperial College London. I obtained an MSc with Distinction in Environmental Data Science & Machine Learning from Imperial College London and a BEng in Spatial Informatics and Digital Technology from Wuhan University.
My research lies at the intersection of computer vision, geometry-aware perception, and AI for environmental systems. I am particularly interested in panoramic understanding, semantic segmentation, source-free domain adaptation, remote sensing, and reliable learning for real-world visual and climate applications.
Education
PhD Student
Imperial College London · Current
MSc, Environmental Data Science & Machine Learning
Imperial College London · 2024.09 – 2025.09
Graduated with Distinction
Graduated with Distinction
BEng, Spatial Informatics & Digital Technology
Wuhan University · 2020.09 – 2024.06
Research Focus
Panoramic & Open-World Perception
Source-free adaptation, 360° semantic segmentation, and language-guided reasoning.
Geometry-Aware Visual Intelligence
Dense prediction, 3D vision, and learning with limited supervision.
AI for Climate & Infrastructure
Reliable modelling and optimisation for environmental and carbon systems.
Selected Publications
Selected Projects
Robust 360° semantic segmentation through panoramic confidence-guided denoising and cross-resolution alignment.
High-resolution UAV mapping for forest, roads, buildings, and fine-grained objects in complex mining environments.
A research platform for modelling and optimising carbon-capture transport and storage operations with RL, LLMs, and operations research.
Honours & Awards
Master’s Degree with Distinction, Imperial College London
2025
Outstanding Graduate, Wuhan University
2024
Silver Award, National College Students Innovation & Entrepreneurship Competition
2024
First Prize, Challenge Cup National Competition
2023
First Prize, National College Students Software Cup Competition
2023
Meritorious Winner, Mathematical Contest in Modeling (MCM/ICM)
2023