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05/27/2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
Dense retrieval is widely used for entity linking to retrieve entities f...
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04/18/2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
In federated learning (FL), distributed clients can collaboratively trai...
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02/24/2023
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Knowledge graphs (KGs) have received increasing attention due to its wid...
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04/05/2022
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
In existing computing systems, such as edge computing and cloud computin...
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03/09/2022
FragmGAN: Generative Adversarial Nets for Fragmentary Data Imputation and Prediction
Modern scientific research and applications very often encounter "fragme...
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02/04/2022
Model Averaging for Generalized Linear Models in Fragmentary Data Prediction
Fragmentary data is becoming more and more popular in many areas which b...
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12/24/2021
Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces
Support vector machine (SVM) is a powerful classification method that ha...
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11/30/2021
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
Simultaneous transmitting and reflecting reconfigurable intelligent surf...
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11/07/2021
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
In this paper, we introduce an end-to-end generative adversarial network...
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10/02/2021
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Modeling of relation pattern is the core focus of previous Knowledge Gra...
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09/24/2021
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
Knowledge Graph Embedding (KGE) aims to learn representations for entiti...
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04/07/2021
DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC
Multi-access edge computing (MEC) and non-orthogonal multiple access (NO...
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09/14/2020
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI
The combination of non-orthogonal multiple access (NOMA) and mobile edge...
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09/14/2020
Joint Optimization of Beamforming, Phase-Shifting and Power Allocation in a Multi-cluster IRS-NOMA Network
The combination of non-orthogonal multiple access (NOMA) and intelligent...
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09/11/2020
Energy-Efficient Design of IRS-NOMA Networks
Combining intelligent reflecting surface (IRS) and non-orthogonal multip...
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09/11/2020
Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks
Multi-access edge computing (MEC) can enhance the computing capability o...
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09/02/2020
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Big data has generated strong interest in various scientific and enginee...
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06/10/2020
Intelligent User Clustering and Robust Beamforming Design for UAV-NOMA Downlink
In this work, we consider a downlink NOMA network with multiple single-a...
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03/28/2020
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Document-level RE requires reading, inferring and aggregating over multi...
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11/04/2019
HARQ-CC Enabled NOMA Designs With Outage Probability Constraints
In this paper, we aim to design an adaptive power allocation scheme to m...
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06/20/2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Driven by the emergence of new compute-intensive applications and the vi...
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04/28/2019
Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
Mobile edge computing (MEC) can enhance the computing capability of mobi...
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03/25/2019
Interplay Between NOMA and Other Emerging Technologies: A Survey
Non-orthogonal multiple access (NOMA) has been widely recognized as a pr...
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01/14/2018
Energy-Efficient Resource Allocation in NOMA Heterogeneous Networks
Non-orthogonal multiple access (NOMA) has attracted much recent attentio...
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04/13/2016
A Novel Method to Study Bottom-up Visual Saliency and its Neural Mechanism
In this study, we propose a novel method to measure bottom-up saliency m...
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07/22/2013
