67 citations · 588 across the 61 of their papers we have counts for
8 papers · 1 filter
Spectral Efficiency Analysis of Uplink-Downlink Decoupled Access in C-V2X Networks
Luofang Jiao, Kai Yu, Yunting Xu +4
The uplink (UL)/downlink (DL) decoupled access has been emerging as a novel access architecture to improve the performance gains in cellular networks. In this paper, we investigate…
Manifold Learning for Dimensionality Reduction: Quantum Isomap algorithm
WeiJun Feng, GongDe Guo, Kai Yu +2
Isomap algorithm is a representative manifold learning algorithm. The algorithm simplifies the data analysis process and is widely used in neuroimaging, spectral analysis and other…
Quantum Federated Learning for Distributed Quantum Networks
Kai Yu, Fei Gao, Song Lin
Federated learning is a framework that can learn from distributed networks. It attempts to build a global model based on virtual fusion data without sharing the actual data. Nevert…
OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue
Zhi Chen, Yuncong Liu, Lu Chen +3
This paper presents an ontology-aware pretrained language model (OPAL) for end-to-end task-oriented dialogue (TOD). Unlike chit-chat dialogue models, task-oriented dialogue models…
DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning
Zhi Chen, Jijia Bao, Lu Chen +10
Building a universal conversational agent has been a long-standing goal of the dialogue research community. Most previous works only focus on a small set of dialogue tasks. In this…
META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
Liangtai Sun, Xingyu Chen, Lu Chen +3
Task-oriented dialogue (TOD) systems have been widely used by mobile phone intelligent assistants to accomplish tasks such as calendar scheduling or hotel reservation. Current TOD…