| An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping B Xia, Q Lu, L Zhu, Z Xing AIware’24, 74, 2024 | | 2024 |
| Towards Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model based Systems Q Lu, L Zhu, X Xu, Z Xing, J Whittle IEEE Software, 2024 | | 2024 |
| Learning Interpretable Scheduling Algorithms for Data Processing Clusters Z Hu, C Wang, Y Shu, L Zhu arXiv preprint arXiv:2405.19131, 2024 | | 2024 |
| Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning G Zhou, Z Han, S Chen, B Huang, L Zhu, S Khan, X Gao, L Yao arXiv preprint arXiv:2405.12217, 2024 | | 2024 |
| Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents Y Liu, SK Lo, Q Lu, L Zhu, D Zhao, X Xu, S Harrer, J Whittle arXiv preprint arXiv:2405.10467, 2024 | | 2024 |
| Provably Unlearnable Examples D Wang, M Xue, B Li, S Camtepe, L Zhu arXiv preprint arXiv:2405.03316, 2024 | | 2024 |
| Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective D Zhang, B Xia, Y Liu, X Xu, T Hoang, Z Xing, M Staples, Q Lu, L Zhu Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 1 | 2024 |
| A taxonomy of foundation model based systems through the lens of software architecture Q Lu, L Zhu, X Xu, Y Liu, Z Xing, J Whittle Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 2 | 2024 |
| Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability B Xia, Q Lu, L Zhu, SU Lee, Y Liu, Z Xing Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 2 | 2024 |
| Where is it? Tracing the Vulnerability-Relevant Files from Vulnerability Reports J Sun, J Chen, Z Xing, Q Lu, X Xu, L Zhu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
| Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code Z Zhang, Z Xing, D Zhao, Q Lu, X Xu, L Zhu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 1 | 2024 |
| Responsible AI pattern catalogue: A collection of best practices for AI governance and engineering Q Lu, L Zhu, X Xu, J Whittle, D Zowghi, A Jacquet ACM Computing Surveys 56 (7), 1-35, 2024 | 21 | 2024 |
| Towards ai safety: A taxonomy for ai system evaluation B Xia, Q Lu, L Zhu, Z Xing arXiv preprint arXiv:2404.05388, 2024 | 1 | 2024 |
| Decentralised governance for foundation model based ai systems: Exploring the role of blockchain in responsible ai Y Liu, Q Lu, L Zhu, HY Paik IEEE Software, 2024 | 4 | 2024 |
| Prompt perturbation in retrieval-augmented generation based large language models Z Hu, C Wang, Y Shu, L Zhu arXiv preprint arXiv:2402.07179, 2024 | 4 | 2024 |
| To be forgotten or to be fair: Unveiling fairness implications of machine unlearning methods D Zhang, S Pan, T Hoang, Z Xing, M Staples, X Xu, L Yao, Q Lu, L Zhu AI and Ethics 4 (1), 83-93, 2024 | 12 | 2024 |
| HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization G Zhou, Z Han, S Chen, B Huang, L Zhu, T Liu, L Yao, K Zhang arXiv preprint arXiv:2401.09716, 2024 | 1 | 2024 |
| Software Architecture and Machine Learning (Dagstuhl Seminar 23302) GA Lewis, H Muccini, I Ozkaya, K Vaidhyanathan, R Weiss, L Zhu Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2024 | | 2024 |
| Aspect-level information discrepancies across heterogeneous vulnerability reports: Severity, types and detection methods J Sun, Z Xing, X Xia, Q Lu, X Xu, L Zhu ACM Transactions on Software Engineering and Methodology 33 (2), 1-38, 2023 | 3 | 2023 |
| Decision Models for Selecting Patterns in Governance-driven Blockchain Systems Y Liu, Q Lu, HY Paik, G Yu, L Zhu 2023 IEEE International Conference on Blockchain (Blockchain), 307-314, 2023 | | 2023 |
Xiwei (Sherry) XuData61, CSIROVerified email at data61.csiro.au