University of Toronto
Ph.D. Candidate, Mechanical and Industrial Engineering
GPA: 4.00 · Supervisor: Prof. Chi-Guhn Lee
Core courses: Reinforcement Learning, Imitation Learning, Control for Robotics, Game Theory.
Curriculum Vitae
Chongyu Zhu
Ph.D. Candidate · Mechanical and Industrial Engineering
University of Toronto
Education
Harbin Institute of Technology
B.Eng. in Engineering Mechanics
Major GPA: 3.72
Exchange: University of Washington, August 2018.
Professional Experience
Software Engineer · Schlumberger
Beijing, China
- Developed automated testing pipelines using Maxwell data patterns.
- Conducted ML-based infield case studies and streamlined bug detection via PCA-driven feature selection.
Mechanical Engineer Intern · HRG Institute
Hefei, China
- Led mechanical development for product functionality enhancement.
- Designed detailed SOLIDWORKS models and authored patent documentation.
Publications
WireCraft: A Simulation Benchmark for Industrial DLO Manipulation
Chongyu Zhu, Ramy ElMallah, Hyegang Kim, Zachary Tang, Jiachen Rao, Artem Arutyunov, Seungyeon Ha, and Chi-Guhn Lee
Conference on Robot Learning (CoRL), 2026 · Spotlight
Generalists Act, Specialists Intervene: Modular Stage-Selective Reinforcement Learning for Vision-Language-Action Manipulation
Chongyu Zhu, Hyegang Kim, Jaden Hinds, Juan Sebastian Rojas, Ramy Elmallah, and Chi-Guhn Lee
arXiv, 2026
Offline Discovery of Interpretable Skills from Multi-Task Trajectories
Chongyu Zhu, Mithun Vanniasinghe, Jiayu Chen, and Chi-Guhn Lee
arXiv, 2026
Scholarships & Awards
- 2022 – Present
- Mechanical and Industrial Engineering Fellowship, University of Toronto
- 2025
- APSC Graduate Scholarship Education Fellowship, University of Toronto
- 2017, 2018, 2019
- People’s Scholarship, Harbin Institute of Technology
- 2018
- Outstanding League Member, Harbin Institute of Technology
- 2017
- Outstanding Student, Harbin Institute of Technology
Teaching Experience
University of Toronto
- MIE1075
- AI Applications in Robotics
- MIE567
- Dynamic and Distributed Decision Making
- MIE422
- Automated Manufacturing
- MIE364
- Quality Control in Manufacturing
- MIE342
- Circuits Applications to ME Systems
- MIE304
- Intro to Quality Control
- MIE236
- Probability