mizumo1988@gmail.com
Education
- Griffith University 2019-2024
Doctor of Philosophy, Artificial Intelligence - University of Electronic Science and Technology of China
Master of Computer Science - University of Electronic Science and Technology of China
Bachelor of Computer Science
Research Experience
- Research assistant - Deep Learning on Recommendation System
2022-2024 - Research assistant - Deep Reinforcement Learning on IEEE802.11 rate adaption
2022-2023
Teaching Experience
- Data Mining Tutor, School of ICT 2020-2024
- Python Programming Tutor, School of ICT 2022-2024
Award
- Jeffrey Blee Memorial Prize - 2021
Publication
- Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems, IEEE Transactions on Neural Networks and Learning Systems (CORE Rank A*, Q1, Impact Factor 14.2), 2024
- Dynamic Weighted Ensemble Learning for Sequential Recommendation Systems: The AIRE Model, Future Generation Computer System (CORE Rank A, Q1, Impact Factor 7.3), 2023
- Enhancing Ensembling Recommendation System In User-agnostic Scenarios, Computer and Electrical Engineering (Q1), 2022
- TRec: Sequential recommender based on latent item trend information, 2020 International Joint Conference on Neural Networks (CORE Rank A)
- Item trend learning for sequential recommendation system using gated graph neural network, Neural Computing and Applications (CORE Rank B, Q1), 2021
- A Reinforcement Learning Approach to Wi-Fi Rate Adaptation Using the REINFORCE Algorithm, IEEE Wireless Communications and Networking Conference (CORE Rank B), 2024
Skills
- Strong background in machine learning and deep learning, with expertise in developing and implementing recommendation algorithms using natural language processing techniques.
- Proficient in programming languages such as Python and C#.
- Experience using PyTorch and PyTorch Lightning for deep learning tasks.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities, demonstrated through successful mentoring and tutoring of students in data mining and Python programming courses.
- Experience with MLOps tools such as MLflow.