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ORCIDXingyu Zhao 0001
赵星宇
Person information
- affiliation: University of Liverpool, UK
- affiliation (former): Heriot-Watt University, Edinburgh, UK
- affiliation (former): City University, London, UK
- unicode name: 赵星宇
Other persons with the same name
- Xingyu Zhao — disambiguation page
- Xingyu Zhao 0002
![[0000-0001-6541-3445]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6541-3445")
— Southeast University, Nanjing, China (and 1 more) - Xingyu Zhao 0003 — Fudan University, Shanghai, China
- Xingyu Zhao 0004 — Tianjin University, Tianjin, China
- Xingyu Zhao 0005 — University of Southern California, Los Angeles, CA, USA
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2020 – today
- 2024
[j14]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa:
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57(7): 175 (2024)- [j13]Saddek Bensalem, Xiaowei Huang, Wenjie Ruan, Qiyi Tang, Changshun Wu, Xingyu Zhao:
Bridging formal methods and machine learning with model checking and global optimisation. J. Log. Algebraic Methods Program. 137: 100941 (2024) - [j12]Kizito Salako, Xingyu Zhao:
Demonstrating software reliability using possibly correlated tests: Insights from a conservative Bayesian approach. Qual. Reliab. Eng. Int. 40(3): 1197-1220 (2024) - [j11]Yi Dong, Xingyu Zhao, Sen Wang, Xiaowei Huang:
Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems. IEEE Robotics Autom. Lett. 9(4): 3299-3306 (2024) - [j10]Wei Huang, Xingyu Zhao, Alec Banks, Victoria Cox, Xiaowei Huang:
Hierarchical Distribution-aware Testing of Deep Learning. ACM Trans. Softw. Eng. Methodol. 33(2): 42:1-42:35 (2024) - [c28]Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan:
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. AAAI 2024: 21761-21769 - [c27]Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao:
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks. CCS 2024: 1226-1240 - [c26]Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A. Jennings, Xingyu Zhao:
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models Against Stochastic Perturbation. ECCV (32) 2024: 455-472 - [c25]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Position: Building Guardrails for Large Language Models Requires Systematic Design. ICML 2024 - [c24]Yun Tang, Dhanush Raj, Xingyu Zhao, Xizhe Zhang, Antonio Anastasio Bruto da Costa, Siddartha Khastgir, Paul A. Jennings:
ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases. ICRA 2024: 2197-2203 - [c23]Yun Tang, Antonio Anastasio Bruto da Costa, Patrick Irvine, Tudor Dodoiu, Yi Zhang, Xingyu Zhao, Siddartha Khastgir, Paul A. Jennings:
Augmenting Scenario Description Languages for Intelligence Testing of Automated Driving Systems. IV 2024: 1112-1118 - [c22]Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan:
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models. NeurIPS 2024 - [i34]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Building Guardrails for Large Language Models. CoRR abs/2402.01822 (2024) - [i33]Chih-Hong Cheng, Paul Stöckel, Xingyu Zhao:
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration. CoRR abs/2402.07031 (2024) - [i32]Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A. Jennings, Xingyu Zhao:
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation. CoRR abs/2402.15429 (2024) - [i31]Chih-Hong Cheng, Changshun Wu, Harald Ruess, Xingyu Zhao, Saddek Bensalem:
Formal Specification, Assessment, and Enforcement of Fairness for Generative AIs. CoRR abs/2404.16663 (2024) - [i30]Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao:
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks. CoRR abs/2409.00426 (2024) - [i29]Yi Zhang, Zhen Chen, Chih-Hong Cheng, Wenjie Ruan, Xiaowei Huang, Dezong Zhao, David Flynn, Siddartha Khastgir, Xingyu Zhao:
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey. CoRR abs/2409.18214 (2024) - [i28]Sihao Wu, Jiaxu Liu, Xiangyu Yin, Guangliang Cheng, Xingyu Zhao, Meng Fang, Xinping Yi, Xiaowei Huang:
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving. CoRR abs/2410.12568 (2024) - [i27]Zhenglin Huang, Jinwei Hu, Xiangtai Li, Yiwei He, Xingyu Zhao, Bei Peng, Baoyuan Wu, Xiaowei Huang, Guangliang Cheng:
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model. CoRR abs/2412.04292 (2024) - 2023
- [j9]Yi Dong, Wei Huang, Vibhav Bharti, Victoria Cox, Alec Banks, Sen Wang, Xingyu Zhao, Sven Schewe, Xiaowei Huang:
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance. ACM Trans. Embed. Comput. Syst. 22(3): 48:1-48:48 (2023) - [j8]Kizito Salako, Xingyu Zhao:
The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments. IEEE Trans. Software Eng. 49(4): 2829-2838 (2023) - [c21]Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding, Xiaowei Huang:
Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation. AAMAS 2023: 1421-1429 - [c20]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV 2023: 1988-1998 - [c19]Yi Dong, Yang Chen, Xingyu Zhao, Xiaowei Huang:
Short-term Load Forecasting with Distributed Long Short-Term Memory. ISGT 2023: 1-5 - [c18]Yi Qi, Yi Dong, Siddartha Khastgir, Paul A. Jennings, Xingyu Zhao, Xiaowei Huang:
STPA for Learning-Enabled Systems: A Survey and A New Practice. ITSC 2023: 1381-1388 - [c17]Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao:
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems. AISoLA 2023: 55-76 - [i26]Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding, Xiaowei Huang:
Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation. CoRR abs/2302.01728 (2023) - [i25]Yi Qi, Yi Dong, Xingyu Zhao, Xiaowei Huang:
STPA for Learning-Enabled Systems: A Survey and A New Method. CoRR abs/2302.10588 (2023) - [i24]Xingyu Zhao, Simos Gerasimou, Radu Calinescu, Calum Imrie, Valentin Robu, David Flynn:
Bayesian Learning for the Robust Verification of Autonomous Robots. CoRR abs/2303.08476 (2023) - [i23]Yi Qi, Xingyu Zhao, Xiaowei Huang:
Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT. CoRR abs/2304.01246 (2023) - [i22]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa:
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR abs/2305.11391 (2023) - [i21]Kaiwen Cai, Chris Xiaoxuan Lu, Xingyu Zhao, Xiaowei Huang:
Risk Controlled Image Retrieval. CoRR abs/2307.07336 (2023) - [i20]Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao:
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems. CoRR abs/2307.11784 (2023) - [i19]Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan:
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning. CoRR abs/2312.07392 (2023) - 2022
- [j7]Xiaowei Huang, Bei Peng, Xingyu Zhao:
Dependable learning-enabled multiagent systems. AI Commun. 35(4): 407-420 (2022) - [j6]Wei Huang, Xingyu Zhao, Xiaowei Huang:
Embedding and extraction of knowledge in tree ensemble classifiers. Mach. Learn. 111(5): 1925-1958 (2022) - [j5]Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang:
Coverage-Guided Testing for Recurrent Neural Networks. IEEE Trans. Reliab. 71(3): 1191-1206 (2022) - [c16]Xiaowei Huang, Wenjie Ruan, Qiyi Tang, Xingyu Zhao:
Bridging Formal Methods and Machine Learning with Global Optimisation. ICFEM 2022: 1-19 - [c15]Yi Qi, Philippa Ryan Conmy, Wei Huang, Xingyu Zhao, Xiaowei Huang:
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems. AISafety@IJCAI 2022 - [c14]Yi Dong, Xingyu Zhao, Xiaowei Huang:
Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking. IROS 2022: 5171-5178 - [i18]Wei Huang, Xingyu Zhao, Alec Banks, Victoria Cox, Xiaowei Huang:
Hierarchical Distribution-Aware Testing of Deep Learning. CoRR abs/2205.08589 (2022) - [i17]Yi Qi, Philippa Ryan Conmy, Wei Huang, Xingyu Zhao, Xiaowei Huang:
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems. CoRR abs/2206.10216 (2022) - [i16]Kizito Salako, Xingyu Zhao:
The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments. CoRR abs/2208.00462 (2022) - [i15]Yi Dong, Yang Chen, Xingyu Zhao, Xiaowei Huang:
Short-term Load Forecasting with Distributed Long Short-Term Memory. CoRR abs/2208.01147 (2022) - [i14]Kizito Salako, Xingyu Zhao:
Conservative Bayesian Assessment of Software-based Systems Exhibiting Correlated Executions. CoRR abs/2208.07935 (2022) - [i13]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR abs/2208.09418 (2022) - [i12]Yi Dong, Xingyu Zhao, Sen Wang, Xiaowei Huang:
Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems. CoRR abs/2210.14991 (2022) - 2021
- [c13]Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang:
Detecting Operational Adversarial Examples for Reliable Deep Learning. DSN (Supplements) 2021: 5-6 - [c12]Kizito Salako, Lorenzo Strigini, Xingyu Zhao:
Conservative Confidence Bounds in Safety, from Generalised Claims of Improvement & Statistical Evidence. DSN 2021: 451-462 - [c11]Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang:
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. AISafety@IJCAI 2021 - [c10]Xingyu Zhao, Wei Huang, Xiaowei Huang, Valentin Robu, David Flynn:
BayLIME: Bayesian local interpretable model-agnostic explanations. UAI 2021: 887-896 - [i11]Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang:
Detecting Operational Adversarial Examples for Reliable Deep Learning. CoRR abs/2104.06015 (2021) - [i10]Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang:
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. CoRR abs/2106.01258 (2021) - [i9]Yi Dong, Xingyu Zhao, Xiaowei Huang:
Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems. CoRR abs/2109.06523 (2021) - [i8]Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang:
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. CoRR abs/2112.00646 (2021) - 2020
- [j4]Xingyu Zhao, Kizito Salako, Lorenzo Strigini, Valentin Robu, David Flynn:
Assessing safety-critical systems from operational testing: A study on autonomous vehicles. Inf. Softw. Technol. 128: 106393 (2020) - [j3]Bev Littlewood, Kizito Salako, Lorenzo Strigini, Xingyu Zhao:
On reliability assessment when a software-based system is replaced by a thought-to-be-better one. Reliab. Eng. Syst. Saf. 197: 106752 (2020) - [c9]Xingyu Zhao, Radu Calinescu, Simos Gerasimou, Valentin Robu, David Flynn:
Interval Change-Point Detection for Runtime Probabilistic Model Checking. ASE 2020: 163-174 - [c8]Xingyu Zhao, Alec Banks, James Sharp, Valentin Robu, David Flynn, Michael Fisher, Xiaowei Huang:
A Safety Framework for Critical Systems Utilising Deep Neural Networks. SAFECOMP 2020: 244-259 - [i7]Xingyu Zhao, Alec Banks, James Sharp, Valentin Robu, David Flynn, Michael Fisher, Xiaowei Huang:
A Safety Framework for Critical Systems Utilising Deep Neural Networks. CoRR abs/2003.05311 (2020) - [i6]Xingyu Zhao, Kizito Salako, Lorenzo Strigini, Valentin Robu, David Flynn:
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles. CoRR abs/2008.09510 (2020) - [i5]Wei Huang, Xingyu Zhao, Xiaowei Huang:
Embedding and Synthesis of Knowledge in Tree Ensemble Classifiers. CoRR abs/2010.08281 (2020) - [i4]Xingyu Zhao, Xiaowei Huang, Valentin Robu, David Flynn:
BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations. CoRR abs/2012.03058 (2020)
2010 – 2019
- 2019
- [c7]Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster:
Probabilistic Model Checking of Robots Deployed in Extreme Environments. AAAI 2019: 8066-8074 - [c6]Matthew Osborne, Jennifer Lantair, Zain Shafiq, Xingyu Zhao, Valentin Robu, David Flynn, John Perry:
UAS Operators Safety and Reliability Survey: Emerging Technologies towards the Certification of Autonomous UAS. ICSRS 2019: 203-212 - [c5]Xingyu Zhao, Valentin Robu, David Flynn, Kizito Salako, Lorenzo Strigini:
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing. ISSRE 2019: 13-23 - [c4]Xingyu Zhao, Matthew Osborne, Jenny Lantair, Valentin Robu, David Flynn, Xiaowei Huang, Michael Fisher, Fabio Papacchini, Angelo Ferrando:
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management. SEFM 2019: 105-124 - [i3]Xingyu Zhao, Valentin Robu, David Flynn, Kizito Salako, Lorenzo Strigini:
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing. CoRR abs/1908.06540 (2019) - [i2]Xingyu Zhao, Matthew Osborne, Jenny Lantair, Valentin Robu, David Flynn, Xiaowei Huang, Michael Fisher, Fabio Papacchini, Angelo Ferrando:
Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management. CoRR abs/1909.03019 (2019) - 2018
- [j2]Xingyu Zhao, Bev Littlewood, Andrey Povyakalo, Lorenzo Strigini, David Wright:
Conservative claims for the probability of perfection of a software-based system using operational experience of previous similar systems. Reliab. Eng. Syst. Saf. 175: 265-282 (2018) - [c3]Michael Fisher, Emily C. Collins, Louise A. Dennis, Matt Luckcuck, Matt Webster, Mike Jump, Vincent Pagé, Charles Patchett, Fateme Dinmohammadi, David Flynn, Valentin Robu, Xingyu Zhao:
Verifiable Self-Certifying Autonomous Systems. ISSRE Workshops 2018: 341-348 - [i1]Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster:
Probabilistic Model Checking of Robots Deployed in Extreme Environments. CoRR abs/1812.04128 (2018) - 2017
- [j1]Xingyu Zhao, Bev Littlewood, Andrey Povyakalo, Lorenzo Strigini, David Wright:
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. 158: 230-245 (2017) - 2016
- [b1]Xingyu Zhao:
On the probability of perfection of software-based systems. City University London, UK, 2016 - 2015
- [c2]Xingyu Zhao, Bev Littlewood, Andrey Povyakalo, David Wright:
Conservative claims about the probability of perfection of software-based systems. ISSRE 2015: 130-140 - 2012
- [c1]Xingyu Zhao, Dajian Zhang, Minyan Lu, Fuping Zeng:
A New Approach to Assessment of Confidence in Assurance Cases. SAFECOMP Workshops 2012: 79-91
Coauthor Index
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