Liming Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 222

Top Venues

Publications

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)
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)
Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
Provably Unlearnable Examples. CoRR (2024)
Zhibo Hu, Chen Wang, Yanfeng Shu, Helen Paik, Liming Zhu
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models. CoRR (2024)
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)
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)
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) (2024)
Zhibo Hu, Chen Wang, Helen Paik, Yanfeng Shu, Liming Zhu
Learning Interpretable Scheduling Algorithms for Data Processing Clusters. CoRR (2024)
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) (2024)
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)
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 (2024)
Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. CoRR (2024)
Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing
Towards AI Safety: A Taxonomy for AI System Evaluation. CoRR (2024)
Liming Dong, Qinghua Lu, Liming Zhu
A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks. SEA4DQ@SIGSOFT FSE (2024)
Boming Xia, Qinghua Lu, Liming Zhu, Zhenchang Xing
An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping. AIware (2024)
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 (2024)
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) (2024)
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) (2024)
Zhibo Hu, Chen Wang, Yanfeng Shu, Hye-Young Paik, Liming Zhu
Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models. KDD (2024)
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 (2024)
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)
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) (2024)
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)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
Liming Zhu
Software Engineering as the Linchpin of Responsible AI. ICSE (2023)
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 (2023)
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 (2023)
Yue Liu, Qinghua Lu, Hye-Young Paik, Guangsheng Yu, Liming Zhu
Decision Models for Selecting Patterns in Governance-driven Blockchain Systems. Blockchain (2023)
Sin Kit Lo, Yue Liu, Guangsheng Yu, Qinghua Lu, Xiwei Xu, Liming Zhu
Distributed Trust Through the Lens of Software Architecture. CoRR (2023)
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)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu
A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems. ICSA (2023)
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) (2023)
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 (2023)
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)
Yashothara Shanmugarasa, Mahawaga Arachchige Pathum Chamikara, Hye-Young Paik, Salil S. Kanhere, Liming Zhu
Local Differential Privacy for Smart Meter Data Sharing. CoRR (2023)
Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples
A systematic literature review on blockchain governance. J. Syst. Softw. 197 (2023)
Zejun Zhang, Zhenchang Xing, Xiwei Xu, Liming Zhu
RIdiom: Automatically Refactoring Non-Idiomatic Python Code with Pythonic Idioms. ICSE Companion (2023)
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)
Tingting Bi, Boming Xia, Zhenchang Xing, Qinghua Lu, Liming Zhu
On the Way to SBOMs: Investigating Design Issues and Solutions in Practice. CoRR (2023)
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 (2023)
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)
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 (2023)
Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR (2023)
Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. ICDM (2023)
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 (2023)
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)
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 (2023)
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) (2023)
Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle
AIRA): A Systematic Mapping Study. CAIN (2023)
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)
Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael
Software Engineering for Responsible AI. Computer 56 (4) (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle
A Framework for Designing Foundation Model based Systems. CoRR (2023)
Su Yen Chia, Xiwei Xu, Ming Ding, David B. Smith, Hye-Young Paik, Liming Zhu
A Selection Model of Privacy Patterns. ICSA (2023)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
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) (2023)
Boming Xia, Qinghua Lu, Harsha Perera, Liming Zhu, Zhenchang Xing, Yue Liu, Jon Whittle
A Survey on AI Risk Assessment Frameworks. CoRR (2023)
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 (2023)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE (2023)
Zhenchang Xing, Qing Huang, Yu Cheng, Liming Zhu, Qinghua Lu, Xiwei Xu
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services. CoRR (2023)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
Towards a Roadmap on Software Engineering for Responsible AI. CoRR (2022)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet
Responsible AI Pattern Catalogue: A Multivocal Literature Review. CoRR (2022)
Jiamou Sun, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu
Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching. ICSME (2022)
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR (2022)
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)
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 (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu
A Pattern Collection for Blockchain Governance. CoRR (2022)
Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle
Towards Operationalising Responsible AI: An Empirical Study. CoRR (2022)
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 (2022)
Xiwei Xu, Chen Wang, Zhen Wang, Qinghua Lu, Liming Zhu
Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems. ICSE (SEIP) (2022)
Mary Shaw, Liming Zhu
Can Software Engineering Harness the Benefits of Advanced AI? IEEE Softw. 39 (6) (2022)
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)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu
A Pattern Language for Blockchain Governance. EuroPLoP (2022)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM (2022)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
Towards a roadmap on software engineering for responsible AI. CAIN (2022)
Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu
Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms. CoRR (2022)
Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems. CoRR (2022)
Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu
A Decision Model for Federated Learning Architecture Pattern Selection. CoRR (2022)
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)
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion. IEEE Trans. Cybern. 52 (7) (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu
Defining blockchain governance principles: A comprehensive framework. Inf. Syst. 109 (2022)
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. CoRR (2022)
Su Yen Chia, Xiwei Xu, Hye-Young Paik, Liming Zhu
Analysis of Privacy Patterns from An Architectural Perspective. ICSA Companion (2022)
Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Liming Zhu
BGRA: A Reference Architecture for Blockchain Governance. CoRR (2022)
Mulong Xie, Zhenchang Xing, Sidong Feng, Chunyang Chen, Liming Zhu, Xiwei Xu
Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images. CoRR (2022)
Pin Chen, Chee Peng Lim, Alex Gorod, Liming Zhu
Towards a Taxonomy of Approaches to Modern Complex Systems. SoSE (2022)
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR (2022)
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)
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) (2022)
Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. ADMA (1) (2022)

Liming Zhu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Liming Zhu