I am a master student in Electrical of Computer Engingeering(ECE) (Track: Machine Learning & Data Science) at the University of California, San Diego. I completed my bachelor degree of BSc Computer Science with first honor in Cardiff University.

Reseaerch Interests

• Autonomous Vehicle
• Machine Learning

Awards

• 2020, Silver Award for 6th China College Students’ ‘Internet Plus’ Innovation and Entrepreneurship Competition in Guangdong Province Division.
• 2020, Second Prize (Entrepreneur Group) for “Youth Entrepreneurship Cup” 7th Guangzhou Youth Innovation and Entrepreneurship Competition in Huangpu Division.
• 2020, Budding Award for Science and Technology Innovation of the College of Mathematics and Informatics & College of Software Engineering, South China Agricultural University.
• 2020, Silver Award for 12th “Challenge Cup” College Students’ Innovation and Entrepreneurship Competition in Guangdong Province.
• 2019, Silver Award for “Dingying Cup” College Students’ Innovation and Entrepreneurship Competition in South China Agricultural University.
• 2019, Winning Prize (Creative Group) for 5th China College Students’ ‘Internet Plus’ Innovation and Entrepreneurship Competition in Guangdong Province Division.
• 2019, Excellence Award (Entrepreneur Group) for “Entrepreneur in Guangdong” Digital Economy Medium and Small-sized Enterprises Innovation and Entrepreneurship Competition
• 2019, Gold Prize for 2019 “Entrepreneurship Cup” College Students’ Innovation and Entrepreneurship Competition.
• 2019, Silver Award for “Dingying Cup” College Students’ Innovation and Entrepreneurship Competition in South China Agricultural University
• 2019, Third-class Scholarship of South China Agricultural University
• 2019, Top 10 in Guangdong province and Most Popular Award for 2019 Microsoft “Imagine Cup” Global Students’ Science and Technology Competition

Academic Project Experience

• 2022 - Now, University of California San Diego Research Intership
• 2021 - 2022, Cardiff University Research Internship
  • Researched and analysed different machine learning visual saliency models’ performance across different categories of images / videos.
  • Developed a web-based rating system to collect the experiment data.
  • Built a more accurate visual saliency dataset for visual saliency models development.
• 2018 - 2022, Development and Promotion of Liz Visitor Platform Based on SaaS Mode Project Leader
  • Lead team enroll three national patents (including a population density detection method and system based on deep learning, a method for human behaviour recognition based on selffeedback gene expression programming and a key sequence generation method based on self-feedback evolutionary sequence) and four software copyrights including particle intelligence reception desk reservation & registration management software, Kinect identification software V1.0, smart rent and loan system supporting fingerprint identification V1.0 and a searchable encrypted database system supporting threshold password schemes.
  • The team has successfully developed the Liz visitor platform based on the SaaS model with the existing technology. A company has been registered, and the system has been put into commercial use.
  • The proejct was awarded as National Project Approval for Development and Promotion of Lizi Visitor Platform Based on SaaS Mode.