Biography
Platforms like Amazon and YouTube train their recommender systems by understanding user interest from their interaction history. In the normal days, no problem. But during extraordinary events like the COVID-19 pandemic, people tend to exhibit unusual behavior, such as panic buying. My work is to differentiate between genuine user interests and irrational behavior, in order to improve the quality of recommendations.
- Recommender Systems
- Information Retrieval
- Computer Vision
- User Modeling
- Social Influence
- Simulation
PhD in Recommender Systems, 2020
RMIT University
Master of Information Technology, 2018
RMIT University
Bachelor of Mechatronic Engineering, 2010
Beijing Information Science & Technology University
Recent Publications
Projects
Experience
Responsibilities include:
- Web app development
- Mobile Android, iOS apps development
- DevOps
Responsibilities include:
- Teaching tutorial and lab classes
- Marking assignments and exams
- Mentoring students
Responsibilities include:
- Adapted and extended existing MES/ERP solutions
- Developed Automatic Production Scheduling Modules
- Developed Server Modules for Data Synchronism between MES, ERP and CAPP systems.
Contact
Hello there! 👋 I’m thrilled that you’ve reached out.
Whether you’re here for a research discussion, to explore potential projects, propose a collaboration, or just to say hi, your message is eagerly awaited!