About
Peide Huang
Email: peide_huang at apple dot com
I am a researcher at Apple AIML . I work on machine learning and robotics. I obtained my B.E. from Nanyang Technological University, M.S. from Stanford, and Ph.D. from Carnegie Mellon University.
Email  /  CV  /  Google Scholar  /  Twitter
News
- 09/2024: I joined Apple AIML!
- 09/2024: I defended my thesis titled "Co-evolving Environments and Agents for Physical-World Deployments"!
- 11/2023: Our RoboTool is covered by TechXplore as a featured story!
- 08/2023: Two papers (one Oral) are accepted by CoRL 2023!
Publications
* indicates equal contributionCaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
Peide Huang,
Preprint
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Abridged in ICLR 2021 Workshop in Security and Safety in Machine Learning Systems
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
ICML 2023 Workshop on Machine Learning for Multimodal Healthcare Data (ML4MHD 2023)
Curriculum Vitae
Click here to download my full CV (last update: Sep 2024).
Education
Carnegie Mellon University
Aug 2020 -- Sep 2024
Ph.D. Reinforcement Learning and Robotics
M.S. Machine Learning
Stanford University
Aug 2018 -- June 2020
M.S. Robotics and Control
Nanyang Technological University, Singapore
Aug 2014 -- June 2018
B.E. Aeronautics and Space Engineering
Work
Apple
May 2024 -- Now
Machine Learning Researcher
Bosch Center for Artificial Intelligence
May 2023 -- Aug 2023
Machine Learning Research Intern
Flexiv Robotics
Aug 2018 -- June 2020
System Engineering Intern
Agency for Science, Technology and Research, Singapore
Jan 2017 -- June 2017
Research Assistant
Academic Services
Reviewer
- Conference: NeurIPS, ICML, ICLR, CoRL, RLC, AISTATS, ICASSP, CVPR
- Journal: TPAMI, IJCV