359 citations · 391 across the 16 of their papers we have counts for
6 papers · 1 filter
LLM-Driven Preference Data Synthesis for Proactive Prediction of the Next User Utterance in Human-Machine Dialogue
Jinqiang Wang, Huansheng Ning, Jianguo Ding +3
Proactively predicting a users next utterance in human-machine dialogue can streamline interaction and improve user experience. Existing commercial API-based solutions are subject…
Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt +2
Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both powerful attack enablers and pro…
Vehicle-to-Grid Integration: Ensuring Grid Stability, Strengthening Cybersecurity, and Advancing Energy Market Dynamics
Bilal Ahmad, Jianguo Ding, Tayyab Ali +4
The increasing adoption of electric vehicles has spurred significant interest in Vehicle-to-Grid technology as a transformative approach to modern energy systems. This paper presen…
A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models
Qikai Wei, Huansheng Ning, Chunlong Han +1
Retrieval Augmented Generation (RAG) has gradually emerged as a promising paradigm for enhancing the accuracy and factual consistency of content generated by large language models…
AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space
Amar Khelloufi, Huansheng Ning, Sahraoui Dhelim +1
The integration of the Internet of Everything (IoX) and Artificial General Intelligence (AGI) has given rise to a transformative paradigm aimed at addressing critical bottlenecks a…
A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism
Jinqiang Wang, Huansheng Ning, Tao Zhu +1
In the tourism domain, Large Language Models (LLMs) often struggle to mine implicit user intentions from tourists' ambiguous inquiries and lack the capacity to proactively guide us…