Long Chen

Long Chen

Senior Applied Scientist

Wayve

Google Scholar Citations Badge

I am a highly driven individual with over 10 years of research experience, deeply invested in the research, development, and deployment of cutting-edge Computer Vision (CV) and Machine Learning (ML) technologies. My work is centered around creating future disruptive applications, with key areas of focus including Surgical Robotics, Mixed Reality, and Autonomous Vehicles.

Interests
  • Artificial Intelligence
  • Computer Vision
  • Multi-modal Large Language Models (LLMs)
  • Robotics
Education
  • PhD in Computer Vision / Machine Learning, 2015 - 2018

    Bournemouth University, UK

  • MSc in Medical Image Computing, 2013 - 2014

    University College London (UCL), UK

  • BSc in Biomedical Engineering, 2009 - 2013

    Dalian University of Technology (DUT), China

Recent News

Experience

 
 
 
 
 
Wayve
Senior Applied Scientist
August 2021 – Present London, UK
AV2.0 - building the next generation of self-driving cars with end-to-end Machine Learning, Vision-Language-Action (VLA) models.
 
 
 
 
 
Lyft Level 5
Research Engineer
Lyft Level 5
May 2018 – July 2021 London, UK
Autonomy 2.0 - Machine Learning control models for Lyft’s self-driving vehicles

Featured Publications

Recent Publications

Full publication list can be found on Google Scholar.
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Large Language Models (LLMs) have shown promise in the autonomous driving sector, particularly in generalization and interpretability. …
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
One Thousand and One Hours: Self-driving Motion Prediction Dataset
Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to …
One Thousand and One Hours: Self-driving Motion Prediction Dataset
SimNet: Learning reactive self-driving simulations from real-world observations
In this work, we present a simple end-to-end trainable machine learning system capable of realistically simulating driving experiences. …
SimNet: Learning reactive self-driving simulations from real-world observations
What data do we need for training an av motion planner?
We investigate what grade of sensor data is required for training an imitation-learning-based AV planner on human expert demonstration. …
What data do we need for training an av motion planner?
Recent Developments and Future Challenges in Medical Mixed Reality
Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice. This …
Recent Developments and Future Challenges in Medical Mixed Reality