CV

Education

• 09/2022-Now Newcastle University, UK (THE Ranking 139)
  • MSc in Computer Science (Distinguished, expected)
• 09/2017-06/2021 Beijing Institute of Technology, Zhuhai, China
  • BSc in Robotics Engineering (Final result: 80+)

Research experience

• 04/2020-06/2021: “ROBO” World Undergraduate Medical Robot Contest (China Division)
  • Acubots-Acupuncture Robot Based on Digital Meridian Theory
  • Responsibilities: Product optimization, robot joint testing, and paper sorting on pulse needle robot intelligence.
  • Achievements: Obtained 5 project approvals and received invitations for international competitions.
• 04/2020-02/2021: Facial Recognition Attendance System (Zhuhai)
  • Programmed using Python3+.
  • Responsibilities: Conducted facial recognition using Face Recognition (an open-source facial recognition database of Python), displayed camera images using Opencv2, and simulated check-in using Excel and facial recognition.
• 04/2019-02/2020: The Hack BJ Ai Hackathon Competition (Beijing)
  • Conducted de-layering data analysis of Hua Zhu Group to classify customers.
  • Responsibilities: Data analysis, data extraction, establishment of database models, and 24-hour product development and presentation in a group of 5 members.
  • Achievements: Highly praised by Google source contributors.

Skills

• Computer vision
• Robotics analysis
• Formal methods

Publications

Improving Semi-Supervised Image Classification by Assigning Different Weights to Correctly an Incorrectly Classified Samples

Xu Zhang, Zhuang Huang. Improving Semi-Supervised Image Classification by Assigning Different Weights to Correctly an Incorrectly Classified Samples. Applied. Science. 2022, 12 (23), 11915 .

Low-Sample Image Classification using ACGAN and Intrinsic Feature Relation

Zhuang Huang, Zhou wen lee. Low-Sample Image Classification using ACGAN and Intrinsic Feature Relation. Applied. Science. 2023, (ready to submit)