Zhenjie Yang (Preferred)
Zhenjie Yang
Intern, Tsinghua University
Intern, Horizon Robotics
Intern, Huazhong University of Science and Technology
Intern, Stanford University
Intern, Computer Science Department, Stanford University
Intern, Megvii Technology Inc.
Intern, Waymo
Intern, Tsinghua University
Intern, Fudan University
Intern, Waabi
Intern, Department of Computer Science, University of Toronto
Intern, Institute of automation, Chinese academy of science, Chinese Academy of Sciences
Intern, NVIDIA
Intern, Sensetime
Intern, Horizon Robotics
Intern, Eberhard-Karls-Universität Tübingen
Intern, University of Hong Kong
Intern, University of Hong Kong
PhD student, Shanghai Jiaotong University
- Joined June 2022
Names
Emails
****@sjtu.edu.cn (Confirmed)
, ****@gmail.com (Confirmed)
Personal Links
Career & Education History
Intern
Tsinghua University (cs.tsinghua.edu.cn)
2024 – Present
Intern
Horizon Robotics (horizon.cc)
2024 – Present
Intern
Huazhong University of Science and Technology (hust.edu.cn)
2024 – Present
Intern
Stanford University (stanford.edu)
2024 – Present
Intern
Computer Science Department, Stanford University (cs.stanford.edu)
2024 – Present
Intern
Megvii Technology Inc. (megvii.com)
2024 – Present
Intern
Waymo (waymo.com)
2024 – Present
Intern
Tsinghua University (tsinghua.edu.cn)
2024 – Present
Intern
Fudan University (fudan.edu)
2024 – Present
Intern
Waabi (waabi.ai)
2024 – Present
Intern
Department of Computer Science, University of Toronto (cs.toronto.edu)
2024 – Present
Intern
Institute of automation, Chinese academy of science, Chinese Academy of Sciences (ia.ac.cn)
2024 – Present
Intern
NVIDIA (nvidia.com)
2024 – Present
Intern
Sensetime (sensetime.com)
2024 – Present
Intern
Horizon Robotics (horizon.ai)
2024 – Present
Intern
Eberhard-Karls-Universität Tübingen (uni-tuebingen.de)
2024 – Present
Intern
University of Hong Kong (cs.hku.hk)
2024 – Present
Intern
University of Hong Kong (hku.hk)
2024 – Present
PhD student
Shanghai Jiaotong University (sjtu.edu.cn)
2023 – Present
Advisors, Relations & Conflicts
Expertise
End-to-end Autonomous Driving
Present
Reinforcement Leanrning
Present
Vision Large Language Model
Present