PING GONG

Graduate Researcher, MARMoT Laboratory  
Department of Mechanical Engineering, National University of Singapore  
Jul 2024 – Present

1. Project: Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control

Co-author, with Yifeng Zhang et al. – ArXiv preprint, Mar 2025  [paper on https://doi.org/10.48550/arXiv.2503.11488]

• Conducted large-scale simulation experiments to evaluate the Unicorn MARL framework on 8 benchmark traffic networks (3 synthetic, 5 real-world) using the SUMO platform.
• Designed the experimental workflow, constructed simulation scenarios under various traffic demand levels, and ensured fair comparisons with other methods such as Max-Pressure and AttendLight.
• Analyzed experimental results and contributed to the preparation of figures, experimental writing, and result discussion in the manuscript.

2. Project: GlobalLight: Exploring Global Influence in Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

Co-author, with Yilin Liu et al. — Neurocomputing, accepted. [DOI: https://doi.org/10.1016/j.neucom.2025.130065]

• Contributed to designing tables and figures, ensuring clear and effective presentation of results.

• Scholarship, 10/2021, 10/2023, 11/2022, Received the Third-Class Scholarship at the university level in 2021 and 2023, and YanChang Petroleum Society First Class Scholarship in 2022.
• Outstanding Student Award, Awarded the Outstanding Student Award for three consecutive years.
• China College Students Crane Design Competition, 24/05/22, Collaborated in a five-member team to design a crane for a national competition. Led the crane modelling, drafted the project proposal, and delivered the final presentation. Achieved Third Prize at the university level.