Curriculum Vitae
Feiyang Wu
ML PhD student at Georgia Tech
My research interests lie at the intersection of optimization, reinforcement learning, and robotics. I develop algorithms for data-efficient robot learning, ideally with theoretical guarantees, and work across both reinforcement learning theory and embodied robot learning systems.
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Education
Georgia Institute of Technology
Doctor of Philosophy in Machine Learning Aug. 2023 - expected 2027
Master of Science in Computer Science Aug. 2021 - Aug. 2023
Chinese University of Hong Kong, Shenzhen
Bachelor of Engineering in Computer Science and Engineering Sept. 2015 - June 2020
Publications
Reinforcement Learning
ICML 2026 Spotlight
ICRA 2026
RA-L 2025
Mathematics of Operations Research 2024
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
ICRA 2024
Computer Vision
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2020
Research and Working Experience
Research Intern
Georgia Tech Research Institute
- Built a tele-operation data collection platform in Isaac Lab and Isaac Sim for robot arm manipulation across a range of crafted scenes.
- Collected data, augmented it with generative techniques, trained diffusion policies, and connected Isaac Lab with ROS2 for hardware demonstration.
Research Assistant
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech
- Worked with Prof. Guanghui Lan on theoretical reinforcement learning.
- Developed theory and algorithms for average-reward reinforcement learning using policy mirror descent and analyzed convergence under different assumptions.
Linear Programming Solver Developer
Shenzhen Research Institute of Big Data, CUHK Shenzhen
- Led development for large-scale general-purpose linear programming solvers.
- Implemented primal-dual simplex variants, direct linear solves via Cholesky decomposition, and regularization and perturbation techniques for interior-point methods.
- Pushed computational performance toward the level of leading commercial solvers.
Graduate Teaching Assistant, CS 6601 Artificial Intelligence
College of Computing, Georgia Tech
- Held weekly office hours and tutorial sessions, designed exam questions, and prepared solution material for assignments and exams.
Research Intern
Didi Chuxing
- Worked on the on-device AR navigation system in the Visual Computing Group, improving pick-up route guidance through visual SLAM and cloud-assisted infrastructure.
- Developed and tested navigation features, analyzed user data, and built machine learning models including gradient boosting, LSTMs, and SVMs to improve system accuracy.
Research Intern
Sino Smart
- Researched computer vision methods for company software during an on-site internship.
- Developed algorithms used in an augmented reality head-up display product manufactured by Foryou Multimedia Electronics Co.
Skills
Programming Languages
C/C++, Python, Java, Objective-C, JavaScript, HTML/CSS, C#
Software and Tools
LaTeX, MATLAB, Maya, MeshLab, MS Office
Frameworks
PyTorch, TensorFlow, OpenCV, Scikit-learn, Armadillo