Sotabase

Career

· Research Scientist, ByteDance2024–
· Software Engineer, Machine Learning Infrastructure Intern, Waymo2023–2023
· Master of Science in Computer Vision, Carnegie Mellon University2022–2023
· Software/Machine Learning Engineer Intern, ASUS Intelligent Cloud Services (AICS)2021–2021
· Bachelor of Science in Electrical Engineering, National Taiwan University2018–2022
· Research Assistant, University of California, Berkeley - AUTOLab2018–2017
· Master of Science in Electrical Engineering and Computer Science, University of California, Berkeley2015–2017
· SAP
· Superhuman

Publications (4)

Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
2016 IEEE International Conference on Automation Science and Engineering (CASE) · 2016
84
cited
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces
IEEE International Conference on Robotics and Automation · 2016
72
cited
Iterative Noise Injection for Scalable Imitation Learning
arXiv.org · 2017
22
cited
SHIV : Reducing Supervisor Burden using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces
2015
7
cited
Sotabase
Wesley Hsieh | Researcher Profile | Sotabase | Sotabase