CV

Education

• Ph.D in Computer Science, Shanghai Jiao Tong University, 2027 (expected)
• MEng in Electrical Engineering, Zhejiang University, 2021
• BEng in Electrical Engineering and its Automation, Zhejiang University, 2017

Working experience / Internship

• 01/2024 - Now: Research Intern (Robotics), Zhipu.ai
  • Collaborative Bimanual Manipulation
  • Mobile Manipulation
• 06/2021 - 04/2023: Software Engineer (Prediction & Planning Team), DeepRoute.ai
  • Deep Reinforcement Learning-based Trajectory Tracking
  • Reachability Analysis
• 09/2020 - 05/2021: Software Engineer (Perception Team), Momenta.ai
  • Camera Perception (Detection and Tracking)
  • Auto-labeling
• 01/2019 - 11/2019: Research Intern , Megvii (Face++)
  • Visual Object Tracking (SiamFC++)
    • https://github.com/megvii-research/video_analyst
  • Supervisor: Zuoxin Li, Gang Yu

Credit: CSS-style borrowed from Christoph Feichtenhofer’s homepage.

Skills

• Techinical skills
  • PyTorch / StableBaseline3 / OpenAIGym
• Basic skills
  • Python / C&C++&CMake / Git / Shell / Docker
• Languages
  • Chinese（Native language）/ English (TOIEC 850/990) / French (DALF C1) / Spanish (Intermediate@Duolinguo)
• Techinical interests
  • Graphics basics (GAMES-101) / Game engine basics (GAMES-104) / Physics-based animation (GAMES-105)

Publications & Technical Reports

Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines

Xu, Yinda, et al. "Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines." Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 07. 2020.

DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving

Xu, Yinda, and Lidong Yu. "DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving." arXiv preprint arXiv:2308.15991 (2023).