About Me

I am a final-year PhD student in the Computer Science and Engineering Department at University of Notre Dame. My advisor is Professor Fanxin Kong, I also work closely with Insup Lee and Oleg Sokolsky. Before joining Notre Dame, I received my bachelor degree from University of Toronto in 2018 and I received my master degree from Syracuse University in 2020. My CV can be found here.

Research Interests

My research centers around real-time cyber-physical systems subject to timing and safety requirements. My current research focused on the safe and time-sensitive control synthesis for autonomous systems. My general research goal is to make real-time cyber-phsyical systems reliable, resilient and time-efficient.
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News

[Jac.2025] I will serve as PC member of ICCPS 2025 poster&demo program. Please consider to submit your best work!
[Oct.2024] I have won the best poster award at CYBER-CARE!
[Oct.2024] Our tool won the championship of Embedded System Software Competition (ESSC) at ESWEEK'2024!
[Oct.2024] I have won the championship of ACM SIGBED Student Research Competition (SRC) 2024!
[Aug.2024] Our paper "Deadline-Safe Reach-Avoid Control Synthesis for Cyber-Physical Systems with Reinforcement Learning", has been accepted by the 45th IEEE Real-Time Systems Symposium (RTSS) 2024!
[Jul.2024] Our paper "Backdoor Attacks on Safe Reinforcement Learning-Enabled Cyber-Physical Systems", has been accepted by the ACM SIGBED International Conference on Embedded Software (EMSOFT), part of Embedded Systems Week (ESWEEK).
[Jul.2024] Our paper "Model-free PAC Time-Optimal Control Synthesis with Reinforcement Learning", has been accepted by the 22nd International Symposium on Formal Methods and Models for System Design (MEMOCODE), part of Embedded Systems Week (ESWEEK).
[Mar.2024] Our paper "LLM-enabled Cyber-Physical Systems: Survey, Research Opportunities, and Challenges", is accepted by International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys)!
[Mar.2024] Our paper on assuring large-language models (LLMs), is accepted by the 15th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).
[Mar.2024] Our paper "Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works", is accepted by ACM Computing Surveys.
[Mar.2024] Two RTAS brief presentation papers accepted!
[Feb.2024] Our CHASE 2024 paper is accepted!
[Jan.2024] Our ICCPS 2024 paper is accepted!
[Dec.2023] My work of sequence-predictive control is selected for an oral presentation in 2023 COSE Research Horizons Symposium hosted by the Colleges of Science and Engineering!
[Aug.2023] Our RTSS 2023 paper is accepted!
[Aug.2023] Our Work has been accepted by ESSC 2023!
[Jul.2023] I'm moving to University of Notre Dame!
[Apr.2023] I will participate in the Twelfth Summer School on Formal Techniques and FMiTF Bootcamp!
[Apr.2023] I recieve summer pre-dissertation fellowship 2023 from Syracuse University!
[Mar.2023] I recieve SIGBED Student Travel Grants for CPS-IoT Week 2023!
[Mar.2023] Our RTAS 2023 Brief Presentation paper is accepted!
[Mar.2023] Our RTAS 2023 paper is accepted!
[Jan.2023] Our RTAS 2023 paper is conditionally accepted!
[Nov.2022] I receive the travel grant to RTSS 2022!
[Sep.2022] Our RTSS 2022 paper is accepted!
[Feb.2022] Our DAC 2022 paper is accepted!

Selected Publications

Assuring LLM-Enabled Cyber-Physical Systems
Weizhe Xu, Mengyu Liu, Steven Drager, Matthew Anderson, Fanxin Kong
ICCPS (International Conference on Cyber-Physical Systems) 2024
LLM-Enabled Cyber-Physical Systems: Survey, Research Opportunities, and Challenges
Weizhe Xu, Mengyu Liu, Oleg Sokolsky, Insup Lee, Fanxin Kong
International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys) 2024
Automating Weak Label Generation for Data Programming with Clinicians in the Loop
Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee
IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) 2024
CPSim: Simulation Toolbox for Security Problems in Cyber-Physical Systems
Mengyu Liu, Lin Zhang, Weizhe Xu, Shixiong Jiang, Fanxin Kong
ACM Transactions on Design Automation of Electronic Systems
Vulnerability Analysis for Safe Reinforcement Learning in Cyber-Physical Systems
Shixiong Jiang *, Mengyu Liu *, Fanxin Kong
ICCPS (International Conference on Cyber-Physical Systems) 2024
Learn-to-Respond: Sequence-Predictive Recovery from Sensor Attacks in Cyber-Physical Systems
Mengyu Liu, Lin Zhang, Vir phoha, Fanxin Kong
RTSS (Real-Time Systems Symposium) 2023
Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems
Lin Zhang, Kaustubh Sridhar, Mengyu Liu, Pengyuan Lu, Fanxin Kong, Oleg Sokolsky, Insup Lee
RTAS (Real-Time and Embedded Technology and Applications Symposium) 2023
Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks
Mengyu Liu, Lin Zhang, Pengyuan Lu, Kaustubh Sridhar, Fanxin Kong, Oleg Sokolsky, Insup Lee
RTSS (Real-Time Systems Symposium) 2022
Adaptive Window-based Sensor Attack Detection for Cyber-physical Systems
Lin Zhang, Zifan Wang, Mengyu Liu, Fanxin Kong
DAC (Design Automation Conference) 2022