Summary
Work History
Education
Quote
Languages
Software
Accomplishments
Additional Information
Generic
Chen-Yu Kang

Chen-Yu Kang

Student
Baoding

Summary

As an effective and committed student, constantly seeking opportunities to learn and develop skills in the field of AI. Thrives in autonomous and collaborative environments, consistently delivering superior performance. Self-directed, energetic, and dedicated to making valuable contributions to the team.

Work History

Institute of Machine Intelligence

03.2022 - 09.2023
  • As an undergraduate student, participated in lab construction and learned about machine learning

Intern

Machine Learning Engineer
06.2024 - 09.2024
  • Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.

Education

Bachelor of Science - Intelligent Scinece And Technology

Nankai University
Tianjin, China
04.2001 -

Quote

Choosing your battles wisely!

Languages

Chinese (Mandarin)
Native language
English
Advanced
C1

Software

Matlab

Origin

Python

C

Accomplishments

  • National First Prize in a Short Video Competition
  • Outstanding Student Leader of Nankai University (President of College Student Union)
  • Outstanding volunteer (The 42nd Chinese Control Conference)
  • Nankai University Sports Scholarship (Table Tennis)
  • Provincial Second Prize in Mathematics Olympiad (High School)

Additional Information

Construction and optimization of dynamic laser scattering analysis system based on deep learning

  • By constructing a neural network, correlated the dynamic laser scattering autocorrelation function with the observation results under the cryotransmission electron microscope(Cryo-EM).

Motion Capture Based Interaction in Virtual Worlds

  • The Mediapipe was used to recognize body posture, store and transmit the data to Unity to construct body postures in the virtual simulation environment where enable the participating players to play the game in the virtual.

Resource Allocation for Internet of Vehicles Based on Federated Reinforcement Learning (Graduation thesis)

  • The paper presents Asynchronous Federated Learning (AFL), which takes into account the individual conditions of participating vehicles. This allows the roadside unit (RSU) to process the models immediately upon receipt, thereby improving the aggregate speed.
Chen-Yu KangStudent