Zhaofeng (Philip) Wang

Hi! My name is Philip Wang. I am a first-year PhD student in the IDEAS Lab at Northwestern University, supervised by Prof. Qi Zhu. I received my B.A. in Mathematics and Psychology from Northwestern University. During undergrad, I have also had the pleasure of receiving a summer research fund to work with Prof. Zach Wood-Doughty in 2024.

I have a broad interest at the intersection of reinforcement learning, formal methods, and control for safe autonomous systems. I am excited about integrating formal verification and control-theoretic tools with learning-based methods to obtain safe, interpretable, and scalable embodied agents.

If you are interested in any aspect of me, I am always open to discussions and academic collaborations. Feel free to reach out to me at — philipwang2025 [at] u [dot] northwestern [dot] edu

GitHub  /  Google Scholar  /  CV

profile photo

News


Selected Publications (* = Equal contribution)

ManiGuard: A Benchmark and Data Suite for Specification-Grounded Safety Evaluation and Improvement of Robotic Manipulation


Yiyan Peng *, Philip Wang *, Simon Sinong Zhan *, Yiqi Lyu, Zhenyang Ni, Jixin Yan, Fiorelli Wong, Ruochen Jiao, Hang Yin, Xinyu Cao, Huajie Shao, Manling Li, Ruohan Zhang, Qi Zhu
arXiv, 2026.
arXiv  /  Project Page  /  Code

project image

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents


Simon Sinong Zhan *, Philip Wang *, Justin Liu *, Yiyan Peng *, Yiqi Lyu, Zinan Wang, Qineng Wang, Zhian Ruan, Xiangyu Shi, Xinyu Cao, Frank Yang, Zhenyang Ni, Kangrui Wang, Ruohan Zhang, Huajie Shao, Manling Li, Qi Zhu
NeurIPS, 2026.
arXiv  /  Project Page  /  Code

project image

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization


Simon Sinong Zhan *, Qingyuan Wu *, Philip Wang, Frank Yang, Xiangyu Shi, Chao Huang, Qi Zhu
ICLR, 2026.
arXiv

project image

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping


Simon Sinong Zhan *, Philip Wang *, Qingyuan Wu *, Ruochen Jiao, Yixuan Wang, Chao Huang, Qi Zhu
L4DC, 2026.
arXiv

project image

Inverse Delayed Reinforcement Learning


Simon Sinong Zhan *, Qingyuan Wu *, Zhian Ruan, Frank Yang, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu
arXiv, 2024.
arXiv





Template from here & here