Xingyu Zhao

Orcid: 0000-0002-3474-349X

Affiliations:
  • University of Liverpool, UK
  • Heriot-Watt University, Edinburgh, UK (former)
  • City University, London, UK (former)


According to our database1, Xingyu Zhao authored at least 51 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Demonstrating software reliability using possibly correlated tests: Insights from a conservative Bayesian approach.
Qual. Reliab. Eng. Int., April, 2024

Hierarchical Distribution-aware Testing of Deep Learning.
ACM Trans. Softw. Eng. Methodol., February, 2024

Bridging formal methods and machine learning with model checking and global optimisation.
J. Log. Algebraic Methods Program., February, 2024

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems.
IEEE Robotics Autom. Lett., 2024

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation.
CoRR, 2024

Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration.
CoRR, 2024

Building Guardrails for Large Language Models.
CoRR, 2024

Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments.
IEEE Trans. Software Eng., April, 2023

Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance.
ACM Trans. Embed. Comput. Syst., 2023

ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning.
CoRR, 2023

Risk Controlled Image Retrieval.
CoRR, 2023

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation.
CoRR, 2023

Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT.
CoRR, 2023

Bayesian Learning for the Robust Verification of Autonomous Robots.
CoRR, 2023

STPA for Learning-Enabled Systems: A Survey and A New Method.
CoRR, 2023

What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems.
Proceedings of the Bridging the Gap Between AI and Reality, 2023

STPA for Learning-Enabled Systems: A Survey and A New Practice.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Short-term Load Forecasting with Distributed Long Short-Term Memory.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Coverage-Guided Testing for Recurrent Neural Networks.
IEEE Trans. Reliab., 2022

Embedding and extraction of knowledge in tree ensemble classifiers.
Mach. Learn., 2022

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems.
CoRR, 2022

Conservative Bayesian Assessment of Software-based Systems Exhibiting Correlated Executions.
CoRR, 2022

Dependable learning-enabled multiagent systems.
AI Commun., 2022

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Bridging Formal Methods and Machine Learning with Global Optimisation.
Proceedings of the Formal Methods and Software Engineering, 2022

2021
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems.
CoRR, 2021

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems.
CoRR, 2021

BayLIME: Bayesian local interpretable model-agnostic explanations.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Conservative Confidence Bounds in Safety, from Generalised Claims of Improvement & Statistical Evidence.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

Detecting Operational Adversarial Examples for Reliable Deep Learning.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020
On reliability assessment when a software-based system is replaced by a thought-to-be-better one.
Reliab. Eng. Syst. Saf., 2020

Assessing safety-critical systems from operational testing: A study on autonomous vehicles.
Inf. Softw. Technol., 2020

BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations.
CoRR, 2020

Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers.
CoRR, 2020

A Safety Framework for Critical Systems Utilising Deep Neural Networks.
Proceedings of the Computer Safety, Reliability, and Security, 2020

Interval Change-Point Detection for Runtime Probabilistic Model Checking.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management.
Proceedings of the Software Engineering and Formal Methods - 17th International Conference, 2019

Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

UAS Operators Safety and Reliability Survey: Emerging Technologies towards the Certification of Autonomous UAS.
Proceedings of the 4th International Conference on System Reliability and Safety, 2019

Probabilistic Model Checking of Robots Deployed in Extreme Environments.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Conservative claims for the probability of perfection of a software-based system using operational experience of previous similar systems.
Reliab. Eng. Syst. Saf., 2018

Verifiable Self-Certifying Autonomous Systems.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

2017
Modeling the probability of failure on demand (pfd) of a 1-out-of-2 system in which one channel is "quasi-perfect".
Reliab. Eng. Syst. Saf., 2017

2016
On the probability of perfection of software-based systems.
PhD thesis, 2016

2015
Conservative claims about the probability of perfection of software-based systems.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

2012
A New Approach to Assessment of Confidence in Assurance Cases.
Proceedings of the Computer Safety, Reliability, and Security, 2012


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