165 citations · 630 across the 23 of their papers we have counts for
24 papers
Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code
Qing Huang, Zhiqiang Yuan, Zhenchang Xing +3
Partial code usually involves non-fully-qualified type names (non-FQNs) and undeclared receiving objects. Resolving the FQNs of these non-FQN types and undeclared receiving objects…
Towards a Roadmap on Software Engineering for Responsible AI
Qinghua Lu, Liming Zhu, Xiwei Xu +2
Although AI is transforming the world, there are serious concerns about its ability to behave and make decisions responsibly. Many ethical regulations, principles, and frameworks f…
A Pattern Language for Blockchain Governance
Yue Liu, Qinghua Lu, Guangsheng Yu +3
Blockchain technology has been used to build next-generation applications taking advantage of its decentralised nature. Nevertheless, there are some serious concerns about the trus…
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Bingyang Chen, Tao Chen, Xingjie Zeng +5
Millions of patients suffer from rare diseases around the world. However, the samples of rare diseases are much smaller than those of common diseases. In addition, due to the sensi…
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns
Qinghua Lu, Liming Zhu, Xiwei Xu +3
Although artificial intelligence (AI) is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a r…
Defining Blockchain Governance Principles: A Comprehensive Framework
Yue Liu, Qinghua Lu, Guangsheng Yu +2
Blockchain eliminates the need for trusted third-party intermediaries in business by enabling decentralised architecture design in software applications. However, the vulnerabiliti…
Blockchain-based Trustworthy Federated Learning Architecture
Sin Kit Lo, Yue Liu, Qinghua Lu +4
Federated learning is an emerging privacy-preserving AI technique where clients (i.e., organisations or devices) train models locally and formulate a global model based on the loca…
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Hye-Young Paik +1
Federated learning is an emerging machine learning paradigm that enables multiple devices to train models locally and formulate a global model, without sharing the clients' local d…
AI and Ethics -- Operationalising Responsible AI
Liming Zhu, Xiwei Xu, Qinghua Lu +2
In the last few years, AI continues demonstrating its positive impact on society while sometimes with ethically questionable consequences. Building and maintaining public trust in…
A Systematic Literature Review on Blockchain Governance
Yue Liu, Qinghua Lu, Liming Zhu +2
Blockchain has been increasingly used as a software component to enable decentralisation in software architecture for a variety of applications. Blockchain governance has received…
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou, Shouhua Zhang, Qinghua Lu +7
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4.0 on the edge computing level. F…
Patterns for Blockchain-Based Payment Applications
Qinghua Lu, Xiwei Xu, H. M. N. Dilum Bandara +2
As the killer application of blockchain technology, blockchain-based payments have attracted extensive attention ranging from hobbyists to corporates to regulatory bodies. Blockcha…
Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu +3
Federated learning has received fast-growing interests from academia and industry to tackle the challenges of data hungriness and privacy in machine learning. A federated learning…
Cooperative Heterogeneous Deep Reinforcement Learning
Han Zheng, Pengfei Wei, Jing Jiang +3
Numerous deep reinforcement learning agents have been proposed, and each of them has its strengths and flaws. In this work, we present a Cooperative Heterogeneous Deep Reinforcemen…
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu +6
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, sharing diagnostic images…
Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT
Weishan Zhang, Qinghua Lu, Qiuyu Yu +6
Device failure detection is one of most essential problems in industrial internet of things (IIoT). However, in conventional IIoT device failure detection, client devices need to u…
A Blockchain-based Platform Architecture for Multimedia Data Management
Yue Liu, Qinghua Lu, Chunsheng Zhu +1
Massive amounts of multimedia data (i.e., text, audio, video, graphics and animation) are being generated everyday. Conventionally, multimedia data are managed by the platforms mai…
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo, Qinghua Lu, Chen Wang +2
Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates. To identify the state-…
Design Patterns for Blockchain-based Self-Sovereign Identity
Yue Liu, Qinghua Lu, Hye-Young Paik +1
Self-sovereign identity is a new identity management paradigm that allows entities to really have the ownership of their identity data and control their use without involving any i…
Design-Pattern-as-a-Service for Blockchain-based Self-Sovereign Identity
Yue Liu, Qinghua Lu, Hye-Young Paik +3
Self-sovereign identity (SSI) is considered to be a "killer application" of blockchain. However, there is a lack of systematic architecture designs for blockchain-based SSI systems…
Integrated Model-Driven Engineering of Blockchain Applications for Business Processes and Asset Management
Qinghua Lu, An Binh Tran, Ingo Weber +6
Blockchain has attracted broad interests to build decentralised applications. Blockchain has attracted broad interests to build decentralised applications. However, developing such…
uBaaS: A Unified Blockchain as a Service Platform
Qinghua Lu, Xiwei Xu, Yue Liu +3
Blockchain is an innovative distributed ledger technology which has attracted a wide range of interests for building the next generation of applications to address lack-of-trust is…
A Platform Architecture for Multi-Tenant Blockchain-Based Systems
Ingo Weber, Qinghua Lu, An Binh Tran +3
Blockchain has attracted a broad range of interests from start-ups, enterprises and governments to build next generation applications in a decentralized manner. Similar to cloud pl…
Performance Overhead Comparison between Hypervisor and Container based Virtualization
Zheng Li, Maria Kihl, Qinghua Lu +1
The current virtualization solution in the Cloud widely relies on hypervisor-based technologies. Along with the recent popularity of Docker, the container-based virtualization star…