About Me
Hey! Here is Sicheng (Leo) Liu (刘思成).
I graduated with a Master’s degree in Computer Science from the University of Sydney (USYD) in June 2024. During this period, I did research pathway in multimodal learning under supervision of Prof. Zhiyong Wang. Before that, I graduated from Nanchang Hangkong University (NCHU) in 2022 as an Outstanding Graduate, achieving a bachelor’s degree in Software Engineering. I did research in semantic analysis supervied by Prof. Jian Shu
In the near future, I will begin my PhD in Electrical and Electronic Engineering at RMIT University, where I will be working under the supervision of Dr. Estrid He and Dr. Jiao Lin.
Education
- Starting Mar 2025: RMIT University - PhD, Electrical and Electronic Engineering
- Supervised by A/Prof. Estrid He and Dr. Jiao Lin
- Aug 2022 - Jun 2024: The University of Sydney - MEng, Computer Science
- Main courses: Deep Learning (D), Natural Language Processing (HD), Machine Learning and Data Mining (HD)
- Multi-label Multi-Modal Classification Kaggle Competition
- Research on Multimodal Summarization
- Sep 2018 - June 2022: Nanchang Hangkong University - BEng, Software Engineering
- Main courses: Algorithm Design and Analysis (91), Software Design and Architecture (91), Network and Computing (94)
- Depression Tendency Detection based on Deep Learning
- Research on Semantic Analysis Method based on BERT
- COVID-19 Data Visualization System
Research Interests
- Multimodal Learning
- Natural Language Processing
My research interests include multimodal summarization, natural language processing. I am currently transitioning to my PhD research, where I will explore the combinition of Spiking Neural Network and Large Language Model.