670 citations · 966 across the 15 of their papers we have counts for
24 papers
Cycle-Balanced Representation Learning For Counterfactual Inference
Guanglin Zhou, Lina Yao, Xiwei Xu +2
With the widespread accumulation of observational data, researchers obtain a new direction to learn counterfactual effects in many domains (e.g., health care and computational adve…
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…
Wireframe-Based UI Design Search Through Image Autoencoder
Jieshan Chen, Chunyang Chen, Zhenchang Xing +4
UI design is an integral part of software development. For many developers who do not have much UI design experience, exposing them to a large database of real-application UI desig…
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…