research
∙
08/31/2023
Deadline Aware Two-Timescale Resource Allocation for VR Video Streaming
In this paper, we investigate resource allocation problem in the context...
share
research
∙
08/31/2023
End-Edge Coordinated Joint Encoding and Neural Enhancement for Low-Light Video Analytics
In this paper, we investigate video analytics in low-light environments,...
research
∙
08/31/2023
Edge-Assisted Lightweight Region-of-Interest Extraction and Transmission for Vehicle Perception
To enhance on-road environmental perception for autonomous driving, accu...
research
∙
08/31/2023
Edge-Assisted On-Device Model Update for Video Analytics in Adverse Environments
While large deep neural networks excel at general video analytics tasks,...
research
∙
07/23/2023
QoE-Driven Video Transmission: Energy-Efficient Multi-UAV Network Optimization
This paper is concerned with the issue of improving video subscribers' q...
research
∙
05/20/2023
SAM: Self-adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials
Mixture priors provide an intuitive way to incorporate historical data w...
research
∙
05/15/2023
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
In this paper, our goal is to design a simple learning paradigm for long...
research
∙
05/05/2023
Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer
In recent years, various companies started to shift their data services ...
research
∙
04/09/2023
Energy-Efficient URLLC Service Provision via a Near-Space Information Network
The integration of a near-space information network (NSIN) with the reco...
research
∙
03/23/2023
Automated Federated Learning in Mobile Edge Networks – Fast Adaptation and Convergence
Federated Learning (FL) can be used in mobile edge networks to train mac...
research
∙
03/14/2023
Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis
Cross-speaker style transfer in speech synthesis aims at transferring a ...
research
∙
02/19/2023
Design and Sample Size Determination for Multiple-dose Randomized Phase II Trials for Dose Optimization
The conventional more-is-better dose selection paradigm, which targets t...
research
∙
01/31/2023
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding
Evolutionary Reinforcement Learning (ERL) that applying Evolutionary Alg...
research
∙
01/02/2023
Performance Analysis and Enhancement of Beamforming Training in 802.11ad
Beamforming (BF) training is crucial to establishing reliable millimeter...
research
∙
12/31/2022
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks
In this paper, we study a network slicing problem for edge-cloud orchest...
research
∙
12/31/2022
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
Collaboration among industrial Internet of Things (IoT) devices and edge...
research
∙
12/13/2022
Style-Label-Free: Cross-Speaker Style Transfer by Quantized VAE and Speaker-wise Normalization in Speech Synthesis
Cross-speaker style transfer in speech synthesis aims at transferring a ...
research
∙
11/17/2022
Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation
Conversion of Chinese Grapheme-to-Phoneme (G2P) plays an important role ...
research
∙
11/17/2022
Securer and Faster Privacy-Preserving Distributed Machine Learning
With the development of machine learning, it is difficult for a single s...
research
∙
10/26/2022
CU-Net: LiDAR Depth-Only Completion With Coupled U-Net
LiDAR depth-only completion is a challenging task to estimate dense dept...
research
∙
09/23/2022
KeypartX: Graph-based Perception (Text) Representation
The availability of big data has opened up big opportunities for individ...
research
∙
06/24/2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Vision Transformers (ViTs) have a radically different architecture with ...
research
∙
05/31/2022
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
Image hashing is a principled approximate nearest neighbor approach to f...
research
∙
05/24/2022
Construction and analysis of the quadratic finite volume methods on tetrahedral meshes
A family of quadratic finite volume method (FVM) schemes are constructed...
research
∙
04/10/2022
Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration
Grassland restoration is a critical means to safeguard grassland ecologi...
research
∙
03/29/2022
Over-the-Air Federated Learning via Second-Order Optimization
Federated learning (FL) is a promising learning paradigm that can tackle...
research
∙
02/28/2022
Machine Learning Empowered Intelligent Data Center Networking: A Survey
To support the needs of ever-growing cloud-based services, the number of...
research
∙
11/13/2021
Networking of Internet of UAVs: Challenges and Intelligent Approaches
Internet of unmanned aerial vehicle (I-UAV) networks promise to accompli...
research
∙
08/05/2021
Active Reinforcement Learning over MDPs
The past decade has seen the rapid development of Reinforcement Learning...
research
∙
06/03/2021
Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning
This paper investigates the problem of providing ultra-reliable and ener...
research
∙
05/30/2021
Robust Dynamic Network Embedding via Ensembles
Dynamic Network Embedding (DNE) has recently attracted considerable atte...
research
∙
03/17/2021
CoMP-Enabled RAN Slicing for Tactile Internet
Tactile Internet (TI) enables the omnipresence and exchange of tactile e...
research
∙
02/25/2021
Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network
In this paper, we investigate a private and cache-enabled unmanned aeria...
research
∙
11/14/2020
Power Control for a URLLC-enabled UAV system incorporated with DNN-Based Channel Estimation
This letter is concerned with power control for a ultra-reliable and low...
research
∙
10/04/2020
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
In this paper, we investigate a computing task scheduling problem in spa...
research
∙
09/08/2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
Evolutionary algorithms (EAs) have been successfully applied to optimize...
research
∙
07/02/2020
Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications
Future railway is expected to accommodate both train operation services ...
research
∙
07/01/2020
Few-shots Parameter Tuning via Co-evolution
Generalization, i.e., the ability of addressing problem instances that a...
research
∙
04/02/2020
Distributed Primal-Dual Optimization for Online Multi-Task Learning
Conventional online multi-task learning algorithms suffer from two criti...
research
∙
02/21/2020
Multicast eMBB and Bursty URLLC Service Multiplexing in a CoMP-Enabled RAN
This paper is concerned with slicing a radio access network (RAN) for si...
research
∙
01/13/2020
RAN Slicing for Massive IoT and Bursty URLLC Service Multiplexing: Analysis and Optimization
The radio access network (RAN) is regarded as one of the potential propo...
research
∙
12/08/2019
Non-Orthogonal Network Slicing for eMBB Service in a Multi-UAV-Aided Network
This paper is concerned with the network slicing problem for enhanced mo...
research
∙
12/08/2019
RAN Slicing in a UAV Network for eMBB Service Provision
This paper is concerned with a problem of radio access network (RAN) sli...
research
∙
12/02/2019
How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?
Future wireless networks are convinced to provide flexible and cost-effi...
research
∙
10/16/2019
Negatively Correlated Search as a Parallel Exploration Search Strategy
Parallel exploration is a key to a successful search. The recently propo...
research
∙
09/07/2019
Fast mmwave Beam Alignment via Correlated Bandit Learning
Beam alignment (BA) is to ensure the transmitter and receiver beams are ...
research
∙
12/06/2018
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization
Large-scale optimization problems that involve thousands of decision var...
research
∙
09/01/2018
Content Popularity Prediction Towards Location-Aware Mobile Edge Caching
Mobile edge caching enables content delivery within the radio access net...
research
∙
06/11/2018
Air-Ground Integrated Vehicular Network Slicing with Content Pushing and Caching
In this paper, an Air-Ground Integrated VEhicular Network (AGIVEN) archi...
research
∙
06/08/2018