Ronghui Mu
Scholar

Ronghui Mu

Google Scholar ID: td_ct8MAAAAJ
Lecturer (Assistant Professor), University of Exeter
Robust DNNreinforcement learningmachine visionRobustness Verification
Citations & Impact
All-time
Citations
516
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in journals and conferences such as AAAI 2025, IJCAI 2025, Artificial Intelligence Review, IEEE TIFS, and ICLR. Awarded an Individual Research Grant from the Royal Society. Involved in several research projects, including CRoCS: Certified Robust and Scalable Autonomous Operation in Cyber Space (Co-I) and EnnCore: End-to-End Conceptual Guarding of Neural Architectures (Research Assistant).
Research Experience
  • Currently a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Exeter. Previously, he worked as a Postdoctoral Research Associate in the Trustworthy Autonomous Cyber-Physical Systems (TACPS) Lab at the University of Liverpool, supervised by Prof. Xiaowei Huang.
Education
  • PhD in Artificial Intelligence from Lancaster University, supervised by Dr. Wenjie Ruan, Dr. Leandro Soriano Marcolino, and Prof. Qiang Ni.
Background
  • Research interests include robustness evaluation of Deep Neural Networks (DNNs), specifically safety testing, adversarial attacks and defenses, and robustness verification. His research spans multiple modalities including image classifiers, video recognition models, 3D point cloud models, reinforcement learning, and large language models.
Miscellany
  • Recruiting new PhD candidates with interests in Safe, Secure and Explainable AI, Probabilistic Verification, Reinforcement Learning and its applications, NLP, and Computer Vision.