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ORCIDLiming Zhu 0001
Person information
- affiliation: CSIRO Data61, Sydney, NSW, Australia
- affiliation (PhD 2007): University of New South Wales, Sydney, NSW, Australia
Other persons with the same name
- Liming Zhu 0002
![[0000-0002-7161-4646]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7161-4646")
— Yangzhou University, College of Hydraulic Science and Engineering, Yangzhou, China - Liming Zhu 0003 — China Tobacco Zhejiang Industrial Co. Ltd., China
- Liming Zhu 0004 — Advanced Laser Technology Laboratory of Anhui Province, Hefei, China (and 2 more)
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2020 – today
- 2025
[j66]Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle:
Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents. J. Syst. Softw. 220: 112278 (2025)- 2024
- [j65]Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. AI Ethics 4(1): 83-93 (2024) - [j64]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet:
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering. ACM Comput. Surv. 56(7): 173:1-173:35 (2024) - [j63]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik:
Decentralized Governance-Driven Architecture for Designing Foundation-Model-Based Systems: Exploring the Role of Blockchain in Responsible AI. IEEE Softw. 41(5): 34-42 (2024) - [j62]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems. IEEE Softw. 41(6): 91-100 (2024) - [j61]Jiamou Sun, Zhenchang Xing, Xin Xia, Qinghua Lu, Xiwei Xu, Liming Zhu:
Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods. ACM Trans. Softw. Eng. Methodol. 33(2): 49:1-49:38 (2024) - [j60]Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, Liming Zhu:
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice. ACM Trans. Softw. Eng. Methodol. 33(6): 149 (2024) - [c188]Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing:
An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping. AIware 2024 - [c187]Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Zhenchang Xing, Jon Whittle:
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture. CAIN 2024: 1-6 - [c186]Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu:
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective. CAIN 2024: 92-97 - [c185]Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu, Zhenchang Xing:
Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability. CAIN 2024: 100-111 - [c184]Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao:
Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles. CIKM 2024: 2900-2909 - [c183]Yashothara Shanmugarasa, M. A. P. Chamikara, Hye-young Paik, Salil S. Kanhere, Liming Zhu:
Local Differential Privacy for Smart Meter Data Sharing with Energy Disaggregation. DCOSS-IoT 2024: 1-10 - [c182]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer, Jon Whittle:
Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents. ICSA-C 2024: 119-126 - [c181]Jiamou Sun, Jieshan Chen, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu:
Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports. ICSE 2024: 200:1-200:13 - [c180]Zejun Zhang, Zhenchang Xing, Dehai Zhao, Qinghua Lu, Xiwei Xu, Liming Zhu:
Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code. ICSE 2024: 227:1-227:12 - [c179]Boming Xia, Dawen Zhang, Yue Liu, Qinghua Lu, Zhenchang Xing, Liming Zhu:
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future. EnCyCriS/SVM 2024: 12-19 - [c178]Zhibo Hu, Chen Wang, Yanfeng Shu, Hye-Young Paik, Liming Zhu:
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models. KDD 2024: 1119-1130 - [c177]Liming Dong, Qinghua Lu, Liming Zhu:
A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks. SEA4DQ@SIGSOFT FSE 2024: 6-11 - [i83]Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang:
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. CoRR abs/2401.09716 (2024) - [i82]Zhibo Hu, Chen Wang, Yanfeng Shu, Helen Paik, Liming Zhu:
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models. CoRR abs/2402.07179 (2024) - [i81]Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu:
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. CoRR abs/2402.09023 (2024) - [i80]Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing:
Towards AI Safety: A Taxonomy for AI System Evaluation. CoRR abs/2404.05388 (2024) - [i79]Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu:
Provably Unlearnable Examples. CoRR abs/2405.03316 (2024) - [i78]Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle:
Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents. CoRR abs/2405.10467 (2024) - [i77]Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao:
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. CoRR abs/2405.12217 (2024) - [i76]Zhibo Hu, Chen Wang, Helen Paik, Yanfeng Shu, Liming Zhu:
Learning Interpretable Scheduling Algorithms for Data Processing Clusters. CoRR abs/2405.19131 (2024) - [i75]Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage:
Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework. CoRR abs/2408.00965 (2024) - [i74]Md. Shamsujjoha, Qinghua Lu, Dehai Zhao, Liming Zhu:
Towards AI-Safety-by-Design: A Taxonomy of Runtime Guardrails in Foundation Model based Systems. CoRR abs/2408.02205 (2024) - [i73]Jingwen Zhou, Qinghua Lu, Jieshan Chen, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer:
A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model. CoRR abs/2408.02920 (2024) - [i72]Sung Une Lee, Harsha Perera, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu:
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment. CoRR abs/2408.11820 (2024) - [i71]Harsha Perera, Sung Une Lee, Yue Liu, Boming Xia, Qinghua Lu, Liming Zhu, Jessica Cairns, Moana Nottage:
Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement. CoRR abs/2409.10520 (2024) - 2023
- [j59]Yashothara Shanmugarasa, Hye-young Paik, Salil S. Kanhere, Liming Zhu:
A systematic review of federated learning from clients' perspective: challenges and solutions. Artif. Intell. Rev. 56(S2): 1773-1827 (2023) - [j58]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet:
Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach. Commun. ACM 66(7): 64-66 (2023) - [j57]Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael:
Software Engineering for Responsible AI. Computer 56(4): 13-16 (2023) - [j56]Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle:
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach. IEEE Intell. Syst. 38(6): 42-51 (2023) - [j55]Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems. IEEE Internet Things J. 10(4): 3276-3284 (2023) - [j54]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples:
A systematic literature review on blockchain governance. J. Syst. Softw. 197: 111576 (2023) - [j53]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35(18): 13065-13075 (2023) - [j52]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle:
Responsible-AI-by-Design: A Pattern Collection for Designing Responsible Artificial Intelligence Systems. IEEE Softw. 40(3): 63-71 (2023) - [j51]Guangsheng Yu, Xu Wang, Wei Ni, Qinghua Lu, Xiwei Xu, Ren Ping Liu, Liming Zhu:
Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7256-7268 (2023) - [c176]Yue Liu, Qinghua Lu, Hye-Young Paik, Guangsheng Yu, Liming Zhu:
Decision Models for Selecting Patterns in Governance-driven Blockchain Systems. Blockchain 2023: 307-314 - [c175]Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle:
Towards Concrete and Connected AI Risk Assessment (C2AIRA): A Systematic Mapping Study. CAIN 2023: 104-116 - [c174]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao:
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM 2023: 3564-3573 - [c173]Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu:
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. ICDM 2023: 1481-1486 - [c172]Su Yen Chia, Xiwei Xu, Ming Ding, David B. Smith, Hye-Young Paik, Liming Zhu:
A Selection Model of Privacy Patterns. ICSA 2023: 1-11 - [c171]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu:
A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems. ICSA 2023: 23-34 - [c170]Liming Zhu:
Software Engineering as the Linchpin of Responsible AI. ICSE 2023: 3-4 - [c169]Yanqi Su, Zheming Han, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation. ICSE Companion 2023: 51-54 - [c168]Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu:
A Multi-faceted Vulnerability Searching Website Powered by Aspect-level Vulnerability Knowledge Graph. ICSE Companion 2023: 60-63 - [c167]Zejun Zhang, Zhenchang Xing, Xiwei Xu, Liming Zhu:
RIdiom: Automatically Refactoring Non-Idiomatic Python Code with Pythonic Idioms. ICSE Companion 2023: 102-106 - [c166]Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao:
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. ICSE 2023: 970-982 - [c165]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. ICSE 2023: 1495-1507 - [c164]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE 2023: 1946-1957 - [c163]Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu:
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. ICSE 2023: 2630-2642 - [c162]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE 2023: 886-895 - [i70]Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu:
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. CoRR abs/2301.05362 (2023) - [i69]Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle:
Operationalising Responsible AI Using a Pattern-Oriented Approach: A Case Study on Chatbots in Financial Services. CoRR abs/2301.05517 (2023) - [i68]Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle:
A Survey on AI Risk Assessment Frameworks. CoRR abs/2301.11616 (2023) - [i67]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang:
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR abs/2301.12351 (2023) - [i66]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. CoRR abs/2301.12633 (2023) - [i65]Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR abs/2302.03350 (2023) - [i64]Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao:
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. CoRR abs/2302.07445 (2023) - [i63]Linh T. Nguyen, Lam Duc Nguyen, Thong Hoang, H. M. N. Dilum Bandara, Qin Wang, Qinghua Lu, Xiwei Xu, Liming Zhu, Petar Popovski, Shiping Chen:
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges. CoRR abs/2303.06546 (2023) - [i62]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
Towards Responsible AI in the Era of ChatGPT: A Reference Architecture for Designing Foundation Model-based AI Systems. CoRR abs/2304.11090 (2023) - [i61]Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, Liming Zhu:
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice. CoRR abs/2304.13261 (2023) - [i60]Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR abs/2304.14042 (2023) - [i59]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle:
A Framework for Designing Foundation Model based Systems. CoRR abs/2305.05352 (2023) - [i58]Sung Une Lee, Harsha Perera, Boming Xia, Yue Liu, Qinghua Lu, Liming Zhu, Olivier Salvado, Jon Whittle:
QB4AIRA: A Question Bank for AI Risk Assessment. CoRR abs/2305.09300 (2023) - [i57]Zhenchang Xing, Qing Huang, Yu Cheng, Liming Zhu, Qinghua Lu, Xiwei Xu:
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services. CoRR abs/2306.02230 (2023) - [i56]Sin Kit Lo, Yue Liu, Guangsheng Yu, Qinghua Lu, Xiwei Xu, Liming Zhu:
Distributed Trust Through the Lens of Software Architecture. CoRR abs/2306.08056 (2023) - [i55]Boming Xia, Dawen Zhang, Yue Liu, Qinghua Lu, Zhenchang Xing, Liming Zhu:
Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future. CoRR abs/2307.02088 (2023) - [i54]Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen:
Quantum Software Analytics: Opportunities and Challenges. CoRR abs/2307.11305 (2023) - [i53]Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik:
Decentralised Governance for Foundation Model based AI Systems: Exploring the Role of Blockchain in Responsible AI. CoRR abs/2308.05962 (2023) - [i52]Terry Yue Zhuo, Xiaoning Du, Zhenchang Xing, Jiamou Sun, Haowei Quan, Li Li, Liming Zhu:
Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names? CoRR abs/2309.07804 (2023) - [i51]Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu:
Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright. CoRR abs/2310.07915 (2023) - [i50]Yashothara Shanmugarasa, Mahawaga Arachchige Pathum Chamikara, Hye-Young Paik, Salil S. Kanhere, Liming Zhu:
Local Differential Privacy for Smart Meter Data Sharing. CoRR abs/2311.04544 (2023) - [i49]Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer, Jon Whittle:
Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model based Agents. CoRR abs/2311.13148 (2023) - [i48]Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu, Zhenchang Xing:
From Principles to Practice: An Accountability Metrics Catalogue for Managing AI Risks. CoRR abs/2311.13158 (2023) - [i47]Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu:
Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI. CoRR abs/2311.18252 (2023) - [i46]Grace A. Lewis, Henry Muccini, Ipek Ozkaya, Karthik Vaidhyanathan, Roland Weiss, Liming Zhu:
Software Architecture and Machine Learning (Dagstuhl Seminar 23302). Dagstuhl Reports 13(7): 166-188 (2023) - 2022
- [j50]Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu:
A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective. ACM Comput. Surv. 54(5): 95:1-95:39 (2022) - [j49]Yashothara Shanmugarasa, Hye-young Paik, Salil S. Kanhere, Liming Zhu:
Automated Privacy Preferences for Smart Home Data Sharing Using Personal Data Stores. IEEE Secur. Priv. 20(1): 12-22 (2022) - [j48]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu:
Defining blockchain governance principles: A comprehensive framework. Inf. Syst. 109: 102090 (2022) - [j47]Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-Young Paik, Xiwei Xu, Chen Wang:
Architectural patterns for the design of federated learning systems. J. Syst. Softw. 191: 111357 (2022) - [j46]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249: 108954 (2022) - [j45]Mary Shaw, Liming Zhu:
Can Software Engineering Harness the Benefits of Advanced AI? IEEE Softw. 39(6): 99-104 (2022) - [j44]Sunny Verma, Chen Wang, Liming Zhu, Wei Liu:
Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion. IEEE Trans. Cybern. 52(7): 6567-6578 (2022) - [c161]Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu:
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. ADMA (1) 2022: 444-456 - [c160]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Implementing Responsible AI. IEEE Big Data 2022: 5076-5081 - [c159]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a roadmap on software engineering for responsible AI. CAIN 2022: 101-112 - [c158]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Language for Blockchain Governance. EuroPLoP 2022: 28:1-28:16 - [c157]Su Yen Chia, Xiwei Xu, Hye-Young Paik, Liming Zhu:
Analysis of Privacy Patterns from An Architectural Perspective. ICSA Companion 2022: 60-67 - [c156]Xiwei Xu, Chen Wang, Zhen Wang, Qinghua Lu, Liming Zhu:
Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems. ICSE (SEIP) 2022: 145-146 - [c155]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson:
Software engineering for Responsible AI: An empirical study and operationalised patterns. ICSE (SEIP) 2022: 241-242 - [c154]Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching. ICSME 2022: 175-186 - [c153]Yanqi Su, Zheming Han, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing. ASE 2022: 26:1-26:13 - [c152]Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code. ASE 2022: 79:1-79:13 - [c151]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM 2022: 442-450 - [c150]Mulong Xie, Zhenchang Xing, Sidong Feng, Xiwei Xu, Liming Zhu, Chunyang Chen:
Psychologically-inspired, unsupervised inference of perceptual groups of GUI widgets from GUI images. ESEC/SIGSOFT FSE 2022: 332-343 - [c149]Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu:
Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms. ESEC/SIGSOFT FSE 2022: 696-708 - [c148]Pin Chen, Chee Peng Lim, Alex Gorod, Liming Zhu:
Towards a Taxonomy of Approaches to Modern Complex Systems. SoSE 2022: 410-415 - [e3]Qinghua Lu, Xiwei Xu, Liming Zhu, John Grundy:
Proceedings of the 1st Workshop on Software Engineering for Responsible AI, SE4RAI 2022, Pittsburgh, Pennsylvania, 19 May 2022. ACM 2022, ISBN 978-1-4503-9319-5 [contents] - [i45]Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Collection for Blockchain Governance. CoRR abs/2203.00268 (2022) - [i44]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle:
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems. CoRR abs/2203.00905 (2022) - [i43]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing:
Towards a Roadmap on Software Engineering for Responsible AI. CoRR abs/2203.08594 (2022) - [i42]