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Changshun Wu
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2020 – today
- 2024
- [j3]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) - [j2]Saddek Bensalem, Xiaowei Huang
Bridging formal methods and machine learning with model checking and global optimisation. J. Log. Algebraic Methods Program. 137: 100941 (2024) - [c8]Weicheng He, Changshun Wu
Box-Based Monitor Approach for Out-of-Distribution Detection in YOLO: An Exploratory Study. RV 2024: 229-239 - [i9]Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu:
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle. CoRR abs/2402.09097 (2024) - [i8]Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem:
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection. CoRR abs/2403.18373 (2024) - [i7]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) - [i6]Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu
Safeguarding Large Language Models: A Survey. CoRR abs/2406.02622 (2024) - 2023
- [c7]Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu:
A digital twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle. PoEM Companion 2023 - [c6]Changshun Wu
Customizable Reference Runtime Monitoring of Neural Networks Using Resolution Boxes. RV 2023: 23-41 - [c5]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 - [c4]Saddek Bensalem, Panagiotis Katsaros, Dejan Nickovic
Continuous Engineering for Trustworthy Learning-Enabled Autonomous Systems. AISoLA 2023: 256-278 - [i5]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR abs/2305.11391 (2023) - [i4]Chih-Hong Cheng, Changshun Wu, Harald Ruess, Saddek Bensalem:
Towards Rigorous Design of OoD Detectors. CoRR abs/2306.08447 (2023) - [i3]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) - 2022
- [c3]Hamzah Al-Qadasi, Changshun Wu, Yliès Falcone, Saddek Bensalem:
DeepAbstraction: 2-Level Prioritization for Unlabeled Test Inputs in Deep Neural Networks. AITest 2022: 64-71 - [c2]Chih-Hong Cheng, Changshun Wu, Emmanouil Seferis, Saddek Bensalem:
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation. ATVA 2022: 397-413 - [i2]Chih-Hong Cheng, Changshun Wu, Emmanouil Seferis, Saddek Bensalem:
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation. CoRR abs/2205.07736 (2022) - 2021
- [i1]Changshun Wu, Yliès Falcone, Saddek Bensalem:
Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes. CoRR abs/2104.14435 (2021)
2010 – 2019
- 2019
- [j1]Changshun Wu
Correction to "Synchronizing sequences on a class of unbounded systems using synchronized Petri nets". Discret. Event Dyn. Syst. 29(4): 521-526 (2019) - 2018
- [c1]Changshun Wu, Isabel Demongodin
Computation of synchronizing sequences for a class of 1-place-unbounded synchronized Petri nets. CoDIT 2018: 51-57
Coauthor Index
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