Rongtao Zhang

Rongtao Zhang

张镕韬 | Master Student

University of Southern California

I am a second-year master’s student at USC, currently conducting research at HaRVI Lab. I received my bachelor’s degree from the School of Computer and Information Technology at Beijing Jiaotong University.

I’ve previously spent wonderful summers at BJTU INSIS and MIT CSGF, and was fortunate to intern at CASIA and Lenovo. Through these experiences, I developed a strong interest in computer vision and reinforcement learning.

I have also volunteered as a teacher and at the Beijing Zoo, experiences that I cherish and find joyful.

Outside of research, I enjoy piano, history and writing.

Interests
  • Robotics
  • Computer Vision
  • Reinforcement Learning
Education
  • University of Southern California, 2023 - Present

    M.S. in Machine Learning & Data Science

  • Beijing Jiaotong University, 2018 - 2023

    B.Eng. in Internet of Things Engineering

News

  • [2024.03]   I’m very happy to be a member of USC HaRVI Lab!
  • [2024.03]   Welcome to my blog isanshi.space.
  • [2023.10]   Created my personal homepage.
  • [2023.08]   Joining USC Viterbi as a graduate student, looking forward to this new journey!
  • [2023.07]   Finished the internship at CASIA, a wonderful experience!
  • [2023.06]   Graduated from the School of Computer and Information Technology at Beijing Jiaotong University.

Experience

 
 
 
 
 
Advised by Prof. Haifeng Zhang.
Research focus on Reinforcement Learning for Mobile Edge Computing.
 
 
 
 
 
BJTU INSIS (Institute of Network Science and Intelligent System, Beijing Jiaotong University)
Research Intern
October 2021 – March 2022 Haidian, Beijing
Advised by Prof. Sheng Han and Prof. Youfang Lin.
Robot Manipulation: Implemented an automatic refueling system for a mechanical arm via deep reinforcement learning.
 
 
 
 
 
Lenovo (Smart Voice Team)
Software Engineering Intern
April 2021 – August 2021 Haidian, Beijing
Developed a data management system for the corpus, and completed cross-platform deployment of Smart Voice.
 
 
 
 
 
Massachusetts Institute of Technology
Visiting Student
August 2020 – October 2020 Remote
Advised by Prof. Mark Vogelsberger
Image Inpainting: Developed a demo showcasing watermark removal and image inpainting using Multi-Column Convolutional Neural Networks optimized with Genetic Algorithm.
 
 
 
 
 
Volunteer Teacher
Middle School Mathematics
May 2020 – August 2020 Huating, Gansu, China
In three months, I helped a student boost her math score by approximately 50 points (out of 100), and she was recognized with the school’s Rapid Progress Award.

Contact