Qinghua Lu

Orcid: 0000-0002-7783-5183

Affiliations:
  • CSIRO, Data61, Sydney, NSW, Australia
  • China University of Petroleum, Department of Software Engineering, Qingdao, China (former)
  • NICTA, Software Systems Research Group, Sydney, NSW, Australia (former)
  • University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia (PhD 2013)


According to our database1, Qinghua Lu authored at least 234 papers between 2010 and 2025.

Collaborative distances:

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Legend:

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Online presence:

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Bibliography

2025
Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents.
J. Syst. Softw., 2025

2024
SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and Its Retrieval.
IEEE Trans. Knowl. Data Eng., December, 2024

Automated Refactoring of Non-Idiomatic Python Code With Pythonic Idioms.
IEEE Trans. Software Eng., November, 2024

On the Way to SBOMs: Investigating Design Issues and Solutions in Practice.
ACM Trans. Softw. Eng. Methodol., July, 2024

Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering.
ACM Comput. Surv., July, 2024

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains.
ACM Trans. Softw. Eng. Methodol., June, 2024

FedSL: A Communication-Efficient Federated Learning With Split Layer Aggregation.
IEEE Internet Things J., May, 2024

Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue.
IEEE Trans. Software Eng., February, 2024

Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods.
ACM Trans. Softw. Eng. Methodol., February, 2024

FQN Inference in Partial Code by Prompt-tuned Language Model of Code.
ACM Trans. Softw. Eng. Methodol., February, 2024

Developer and End-User Perspectives on Addressing Human Aspects in Mobile eHealth Apps.
Inf. Softw. Technol., February, 2024

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods.
AI Ethics, February, 2024

API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model.
ACM Trans. Softw. Eng. Methodol., January, 2024

Trusted Hardware-Assisted Leaderless Byzantine Fault Tolerance Consensus.
IEEE Trans. Dependable Secur. Comput., 2024

Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems.
IEEE Softw., 2024

Decentralized Governance-Driven Architecture for Designing Foundation-Model-Based Systems: Exploring the Role of Blockchain in Responsible AI.
IEEE Softw., 2024

Observability and Explainability for Software Systems Decision Making.
IEEE Softw., 2024

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models.
Proc. ACM Softw. Eng., 2024

DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models.
CoRR, 2024

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks.
CoRR, 2024

Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.
CoRR, 2024

<i>"I Don't Use AI for Everything"</i>: Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development.
CoRR, 2024

Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement.
CoRR, 2024

Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment.
CoRR, 2024

A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model.
CoRR, 2024

Towards AI-Safety-by-Design: A Taxonomy of Runtime Guardrails in Foundation Model based Systems.
CoRR, 2024

Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework.
CoRR, 2024

Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness.
CoRR, 2024

Towards AI Safety: A Taxonomy for AI System Evaluation.
CoRR, 2024

Resolving Ethics Trade-offs in Implementing Responsible AI.
CoRR, 2024

Responsible AI Engineering from a Data Perspective (Keynote).
Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2024

A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks.
Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2024

Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Enhancing Exploratory Testing by Large Language Model and Knowledge Graph.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future.
Proceedings of the IEEE/ACM International Workshop on Engineering and Cybersecurity of Critical Systems and Second IEEE/ACM International Workshop on Software Vulnerability, 2024

Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model Based Agents.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

CredAct: Privacy-Preserving Activity Verification for Benefits Schemes in Self-Sovereign Identity.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping.
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023
Guest Editorial: Special Issue on Responsible AI in Social Computing.
IEEE Trans. Comput. Soc. Syst., December, 2023

Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach.
Commun. ACM, July, 2023

Software Engineering for Responsible AI.
Computer, April, 2023

Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems.
IEEE Internet Things J., February, 2023

Responsible-AI-by-Design: A Pattern Collection for Designing Responsible Artificial Intelligence Systems.
IEEE Softw., 2023

A systematic literature review on blockchain governance.
J. Syst. Softw., 2023

CFSL: A Credible Federated Self-Learning Framework.
IEEE Internet Things J., 2023

Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction.
IEEE Internet Things J., 2023

Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach.
IEEE Intell. Syst., 2023

Navigating Privacy and Copyright Challenges Across the Data Lifecycle of Generative AI.
CoRR, 2023

From Principles to Practice: An Accountability Metrics Catalogue for Managing AI Risks.
CoRR, 2023

Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model based Agents.
CoRR, 2023

The Privacy Pillar - A Conceptual Framework for Foundation Model-based Systems.
CoRR, 2023

Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright.
CoRR, 2023

Decentralised Governance for Foundation Model based AI Systems: Exploring the Role of Blockchain in Responsible AI.
CoRR, 2023

Quantum Software Analytics: Opportunities and Challenges.
CoRR, 2023

Test-takers have a say: understanding the implications of the use of AI in language tests.
CoRR, 2023

Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies.
CoRR, 2023

Distributed Trust Through the Lens of Software Architecture.
CoRR, 2023

Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata.
CoRR, 2023

Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services.
CoRR, 2023

AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code.
CoRR, 2023

QB4AIRA: A Question Bank for AI Risk Assessment.
CoRR, 2023

A Framework for Designing Foundation Model based Systems.
CoRR, 2023

Towards Responsible AI in the Era of ChatGPT: A Reference Architecture for Designing Foundation Model-based AI Systems.
CoRR, 2023

MLOps Spanning Whole Machine Learning Life Cycle: A Survey.
CoRR, 2023

Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges.
CoRR, 2023

A Survey on AI Risk Assessment Frameworks.
CoRR, 2023

Operationalising Responsible AI Using a Pattern-Oriented Approach: A Case Study on Chatbots in Financial Services.
CoRR, 2023

Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications.
Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Human Value Requirements in AI Systems: Empirical Analysis of Amazon Alexa.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Towards Self-Interpretable Graph-Level Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects.
Proceedings of the International Joint Conference on Neural Networks, 2023

Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

A Multi-faceted Vulnerability Searching Website Powered by Aspect-level Vulnerability Knowledge Graph.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

A Pattern-Oriented Reference Architecture for Governance-Driven Blockchain Systems.
Proceedings of the 20th IEEE International Conference on Software Architecture, 2023

BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

VCTP: A Verifiable Credential-Based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms.
Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures, 2023

Improving Adversarial Transferability via Frequency-based Stationary Point Search.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Concrete and Connected AI Risk Assessment (C<sup>2</sup>AIRA): A Systematic Mapping Study.
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

Decision Models for Selecting Patterns in Governance-driven Blockchain Systems.
Proceedings of the IEEE International Conference on Blockchain, 2023

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Guest Editorial: Special Section on Artificial Intelligence and Big Data Analytics for Cloud Manufacturing.
IEEE Trans. Ind. Informatics, 2022

Federated Markov Logic Network for indoor activity recognition in Internet of Things.
Knowl. Based Syst., 2022

Architectural patterns for the design of federated learning systems.
J. Syst. Softw., 2022

Defining blockchain governance principles: A comprehensive framework.
Inf. Syst., 2022

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm.
IEEE Internet Things J., 2022

A Trustworthy Safety Inspection Framework Using Performance-Security Balanced Blockchain.
IEEE Internet Things J., 2022

A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective.
ACM Comput. Surv., 2022

BGRA: A Reference Architecture for Blockchain Governance.
CoRR, 2022

Responsible AI Pattern Catalogue: A Multivocal Literature Review.
CoRR, 2022

Towards Operationalising Responsible AI: An Empirical Study.
CoRR, 2022

A Decision Model for Federated Learning Architecture Pattern Selection.
CoRR, 2022

Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems.
CoRR, 2022

A Pattern Collection for Blockchain Governance.
CoRR, 2022

A survey of data minimisation techniques in blockchain-based healthcare.
Comput. Networks, 2022

Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Heterogeneous Vulnerability Report Traceability Recovery by Vulnerability Aspect Matching.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Software engineering for Responsible AI: An empirical study and operationalised patterns.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Carboncoin: Blockchain Tokenization of Carbon Emissions with ESG-based Reputation.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2022

A Pattern Language for Blockchain Governance.
Proceedings of the 27th European Conference on Pattern Languages of Programs, 2022

Performance Modeling of Hyperledger Fabric 2.0.
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

Towards a roadmap on software engineering for responsible AI.
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

CredTrust: Credential Based Issuer Management for Trust in Self-Sovereign Identity.
Proceedings of the IEEE International Conference on Blockchain, 2022

Towards Implementing Responsible AI.
Proceedings of the IEEE International Conference on Big Data, 2022

FedProto: Federated Prototype Learning across Heterogeneous Clients.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Guest Editorial: Federated Learning for Industrial IoT in Industry 4.0.
IEEE Trans. Ind. Informatics, 2021

Integrated model-driven engineering of blockchain applications for business processes and asset management.
Softw. Pract. Exp., 2021

Featured Cover.
Softw. Pract. Exp., 2021

IoT-CCAC: a blockchain-based consortium capability access control approach for IoT.
PeerJ Comput. Sci., 2021

Artificial Intelligence Technologies for COVID-19-Like Epidemics: Methods and Challenges.
IEEE Netw., 2021

A blockchain-based platform architecture for multimedia data management.
Multim. Tools Appl., 2021

Dynamic-Fusion-Based Federated Learning for COVID-19 Detection.
IEEE Internet Things J., 2021

Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT.
IEEE Internet Things J., 2021

A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles.
IEEE Internet Things J., 2021

Developing Mobile Applications Via Model Driven Development: A Systematic Literature Review.
Inf. Softw. Technol., 2021

A Lightweight Blockchain-Based IoT Identity Management Approach.
Future Internet, 2021

Capability-based IoT access control using blockchain.
Digit. Commun. Networks, 2021

Feature-context driven Federated Meta-Learning for Rare Disease Prediction.
CoRR, 2021

AI Ethics Principles in Practice: Perspectives of Designers and Developers.
CoRR, 2021

Defining Blockchain Governance Principles: A Comprehensive Framework.
CoRR, 2021

Blockchain-based Trustworthy Federated Learning Architecture.
CoRR, 2021

AI and Ethics - Operationalising Responsible AI.
CoRR, 2021

A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things.
CoRR, 2021

Design Patterns for Blockchain-Based Payment Applications.
CoRR, 2021

Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Checking App Behavior Against App Descriptions: What If There are No App Descriptions?
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

A Decision Model for Choosing Patterns in Blockchain-Based Applications.
Proceedings of the 18th IEEE International Conference on Software Architecture, 2021

Patterns for Blockchain-Based Payment Applications.
Proceedings of the EuroPLoP'21: European Conference on Pattern Languages of Programs 2021, Graz, Austria, July 7, 2021

FLRA: A Reference Architecture for Federated Learning Systems.
Proceedings of the Software Architecture - 15th European Conference, 2021

A Federated Parallel Data Platform for Trustworthy AI.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
A Task Scheduling Strategy in Edge-Cloud Collaborative Scenario Based on Deadline.
Sci. Program., 2020

Design Pattern as a Service for Blockchain-Based Self-Sovereign Identity.
IEEE Softw., 2020

Distributed Ledger Technology for eHealth Identity Privacy: State of The Art and Future Perspective.
Sensors, 2020

Blockchain-based Federated Learning for Failure Detection in Industrial IoT.
CoRR, 2020

Blockchain-based Verifiable Credential Sharing with Selective Disclosure.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Cooperative Heterogeneous Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Software Architecture for Blockchain-based Trade Certificate Systems.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2020

Understanding and Handling Blockchain Uncertainties.
Proceedings of the Blockchain - ICBC 2020, 2020

Design Patterns for Blockchain-based Self-Sovereign Identity.
Proceedings of the EuroPLoP '20: European Conference on Pattern Languages of Programs 2020, 2020

Going Deep: Graph Convolutional Ladder-Shape Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Blockchain-Based Trust Mechanism for IoT-Based Smart Manufacturing System.
IEEE Trans. Comput. Soc. Syst., 2019

Blockchain Support for Collaborative Business Processes.
Inform. Spektrum, 2019

Designing blockchain-based applications a case study for imported product traceability.
Future Gener. Comput. Syst., 2019

uBaaS: A unified blockchain as a service platform.
Future Gener. Comput. Syst., 2019

Analysis of Blockchain Solutions for IoT: A Systematic Literature Review.
IEEE Access, 2019

A Platform Architecture for Multi-Tenant Blockchain-Based Systems.
Proceedings of the IEEE International Conference on Software Architecture, 2019

A Landscape of Cryptocurrencies.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019

Digital-Physical Parity for Food Fraud Detection.
Proceedings of the Blockchain - ICBC 2019, 2019

2018
HDM: A Composable Framework for Big Data Processing.
IEEE Trans. Big Data, 2018

An Empirical Study of Cloud API Issues.
IEEE Cloud Comput., 2018

LSTM-Based Analysis of Industrial IoT Equipment.
IEEE Access, 2018

Design Pattern as a Service for Blockchain Applications.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Applying Design Patterns in Smart Contracts - A Case Study on a Blockchain-Based Traceability Application.
Proceedings of the Blockchain - ICBC 2018, 2018

A Pattern Collection for Blockchain-based Applications.
Proceedings of the 23rd European Conference on Pattern Languages of Programs, 2018

Lorikeet: A Model-Driven Engineering Tool for Blockchain-Based Business Process Execution and Asset Management.
Proceedings of the Dissertation Award, 2018

2017
Resource requests prediction in the cloud computing environment with a deep belief network.
Softw. Pract. Exp., 2017

Runtime recovery actions selection for sporadic operations on public cloud.
Softw. Pract. Exp., 2017

Adaptable Blockchain-Based Systems: A Case Study for Product Traceability.
IEEE Softw., 2017

Autonomic deployment decision making for big data analytics applications in the cloud.
Soft Comput., 2017

Evaluating Suitability of Applying Blockchain.
Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

An Online-Offline Combined Big Data Mining Platform.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Performance Overhead Comparison between Hypervisor and Container Based Virtualization.
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

2016
A Unified Business-Driven Cloud Management Framework.
IEEE Trans. Serv. Comput., 2016

A Load-Aware Pluggable Cloud Framework for Real-Time Video Processing.
IEEE Trans. Ind. Informatics, 2016

Non-Intrusive Anomaly Detection With Streaming Performance Metrics and Logs for DevOps in Public Clouds: A Case Study in AWS.
IEEE Trans. Emerg. Top. Comput., 2016

A Deep-Intelligence Framework for Online Video Processing.
IEEE Softw., 2016

Building Pipelines for Heterogeneous Execution Environments for Big Data Processing.
IEEE Softw., 2016

Healthcare4VideoStorm: Making Smart Decisions Based on Storm Metrics.
Sensors, 2016

A survey on decision making for task migration in mobile cloud environments.
Pers. Ubiquitous Comput., 2016

QoS4IVSaaS: a QoS management framework for intelligent video surveillance as a service.
Pers. Ubiquitous Comput., 2016

A genetic algorithm-based job scheduling model for big data analytics.
EURASIP J. Wirel. Commun. Netw., 2016

An Empirical Study on Big Video Data Processing: Architectural Styles, Issues, and Challenges.
Proceedings of the International Conference on Identification, 2016

Workload Prediction for Cloud Cluster Using a Recurrent Neural Network.
Proceedings of the International Conference on Identification, 2016

Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Message from the Doctoral Symposium Co-Chairs.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2015
A Tail-Tolerant Cloud API Wrapper.
IEEE Softw., 2015

A video cloud platform combing online and offline cloud computing technologies.
Pers. Ubiquitous Comput., 2015

A Genetic-Algorithm-Based Approach for Task Migration in Pervasive Clouds.
Int. J. Distributed Sens. Networks, 2015

A Deep Awareness Framework for Pervasive Video Cloud.
IEEE Access, 2015

CF4BDA: A Conceptual Framework for Big Data Analytics Applications in the Cloud.
IEEE Access, 2015

Food Image Recognition with Convolutional Neural Networks.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Experiences on a Video Management Cloud Based on Hadoop.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Emotion Recognition in Speech Using Multi-classification SVM.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

An Integrated Approach for Vehicle Detection and Type Recognition.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

A MapReduce Cluster Deployment Optimization Framework with Geo-distributed Data.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Towards a Load-Aware Scheduling Framework for Realtime Video Cloud.
Proceedings of the International Conference on Identification, 2015

Genetic Algorithm Based Job Scheduling for Big Data Analytics.
Proceedings of the International Conference on Identification, 2015

MapReduce Job Optimization: A Mapping Study.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

Composable and efficient functional big data processing framework.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Runtime Recovery Actions Selection for Sporadic Operations on Cloud.
Proceedings of the 24th Australasian Software Engineering Conference, 2015

2014
Role network model-based support for RESTful business processes.
Data Knowl. Eng., 2014

An OSGi-based flexible and adaptive pervasive cloud infrastructure.
Sci. China Inf. Sci., 2014

A Realtime Framework for Video Object Detection with Storm.
Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

Towards a High Speed Video Cloud Based on Batch Processing Integrated with Fast Processing.
Proceedings of the International Conference on Identification, 2014

Online Multiperson Tracking and Counting with Cloud Computing.
Proceedings of the International Conference on Identification, 2014

Towards a Genetic Algorithm Based Approach for Task Migrations.
Proceedings of the International Conference on Identification, 2014

An Improved SMOTE Imbalanced Data Classification Method Based on Support Degree.
Proceedings of the International Conference on Identification, 2014

Mechanisms and Architectures for Tail-Tolerant System Operations in Cloud.
Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing, 2014

Business-Driven Adaptation Decision-Making for SOA Systems.
LAP Lambert Academic Publishing, ISBN: 978-3-659-51496-8, 2014

2013
Autonomic Business-Driven Decision-Making for Adaptation of Service-Oriented Systems.
PhD thesis, 2013

Cloud API issues: an empirical study and impact.
Proceedings of the 9th international ACM SIGSOFT conference on Quality of Software Architectures, 2013

Availability analysis for deployment of in-cloud applications.
Proceedings of the 4th international ACM Sigsoft symposium on Architecting critical systems, 2013

Hybrid Emotion Recognition Using Semantic Similarity.
Proceedings of the Service-Oriented Computing - ICSOC 2013 Workshops, 2013

Flexible Component Migration in an OSGi Based Pervasive Cloud Infrastructure.
Proceedings of the Service-Oriented Computing - ICSOC 2013 Workshops, 2013

BPMashup: Dynamic Execution of RESTful Processes.
Proceedings of the Service-Oriented Computing - ICSOC 2012 Workshops, 2013

A Hybrid Emotion Recognition on Android Smart Phones.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

Towards an OSGi Based Pervasive Cloud Infrastructure.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

Modeling and analysing operation processes for dependability.
Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

Incorporating Uncertainty into In-Cloud Application Deployment Decisions for Availability.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

Improving Availability of Cloud-Based Applications through Deployment Choices.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012
Design and Performance of a Minimal Real-Time Operating System in a Safe Language: Experience with Java on the Sun SPOT.
J. Softw., 2012

Application of Business-Driven Decision Making to RESTful Business Processes.
Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

JARTOS - A Real-Time Operating System in Java: Can developing a real-time operating system in Java result in a system that an errant process can't crash?
LAP Lambert Academic Publishing, ISBN: 978-3-8484-3060-4, 2012

2011
Autonomic Business-Driven Decision Making for Adaptation of Web Service Compositions.
Proceedings of the World Congress on Services, 2011

Using MiniZnMASC Middleware with Different Algorithms for Business-Driven Adaptation of Business Processes.
Proceedings of the POLICY 2011, 2011

Support for concurrent adaptation of multiple Web service compositions to maximize business metrics.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

Support for the Business Motivation Model in the WS-Policy4MASC Language and MiniZnMASC Middleware.
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

Extending WS-Policy4MASC language and MiniZnMASC middleware with BMM business motivation.
Proceedings of the 8th International Conference on Autonomic Computing, 2011

2010
MiniMASC+MiniZinc: An Autonomic Business-Driven Decision Making Middleware for Adaptation of Web Service Compositions.
Proceedings of the Symposia and Workshops on Ubiquitous, 2010

MiniMASC: A Framework for Diverse Autonomic Adaptations of Web Service Compositions.
Proceedings of the Symposia and Workshops on Ubiquitous, 2010


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