6 citations · 9 across the 7 of their papers we have counts for
8 papers
When Model Editing Meets Service Evolution: A Knowledge-Update Perspective for Service Recommendation
Guodong Fan, Cuiyun Gao, Chun Yong Chong +4
The rapid evolution of software services poses substantial challenges to the design and implementation of effective recommendation systems. Traditional service recommendation appro…
RefProtoFL: Communication-Efficient Federated Learning via External-Referenced Prototype Alignment
Hongyue Wu, Hangyu Li, Guodong Fan +3
Federated learning (FL) enables collaborative model training without sharing raw data in edge environments, but is constrained by limited communication bandwidth and heterogeneous…
A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
Cuiyun Gao, Guodong Fan, Chun Yong Chong +5
Model hallucination is one of the most critical challenges faced by Large Language Models (LLMs), especially in high-stakes code intelligence tasks. As LLMs become increasingly int…
Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
Hangyu Li, Hongyue Wu, Guodong Fan +3
As privacy protection gains increasing importance, more models are being trained on edge devices and subsequently merged into the central server through Federated Learning (FL). Ho…
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms
Guoli Wu, Zhiyong Feng, Shizhan Chen +6
Traditional recommendation systems focus on maximizing user satisfaction by suggesting their favourite items. This user-centric approach may lead to unfair exposure distribution am…
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
Linjuan Wu, Shaojuan Wu, Xiaowang Zhang +4
Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC). However, inherent ling…
Service Ecosystem: A Lens of Smart Society
Xiao Xue, ZhiYong Feng, ShiZhan Chen +8
Intelligence services are playing an increasingly important role in the operation of our society. Exploring the evolution mechanism, boundaries and challenges of service ecosystem…
An Android Application Risk Evaluation Framework Based on Minimum Permission Set Identification
Jianmao Xiao, Shizhan Chen, Qiang He +2
Android utilizes a security mechanism that requires apps to request permission for accessing sensitive user data, e.g., contacts and SMSs, or certain system features, e.g., camera…