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09/18/2023
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
Small CNN-based models usually require transferring knowledge from a lar...
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08/20/2023
Representation Disparity-aware Distillation for 3D Object Detection
In this paper, we focus on developing knowledge distillation (KD) for co...
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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...
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06/27/2023
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
Neural architecture search (NAS) proves to be among the effective approa...
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05/21/2023
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
Vision transformers (ViTs) quantization offers a promising prospect to f...
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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...
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03/03/2023
Confidence-driven Bounding Box Localization for Small Object Detection
Despite advancements in generic object detection, there remains a perfor...
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10/13/2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
The large pre-trained vision transformers (ViTs) have demonstrated remar...
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10/11/2022
Network Topology Inference based on Timing Meta-Data
Consider a processor having access only to meta-data consisting of the t...
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10/07/2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Knowledge distillation (KD) has been proven to be useful for training co...
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04/19/2022
Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study
In the upcoming 6G era, existing terrestrial networks have evolved towar...
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02/14/2022
Semantic Communication Meets Edge Intelligence
The development of emerging applications, such as autonomous transportat...
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01/05/2022
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven
Dubbed "the successor to the mobile Internet", the concept of the Metave...
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11/13/2021
Networking of Internet of UAVs: Challenges and Intelligent Approaches
Internet of unmanned aerial vehicle (I-UAV) networks promise to accompli...
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07/23/2021
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
In this paper, we investigate an unmanned aerial vehicle (UAV)-assisted ...
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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...
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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...
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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...
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02/29/2020
NAS-Count: Counting-by-Density with Neural Architecture Search
Most of the recent advances in crowd counting have evolved from hand-des...
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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...
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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...
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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...
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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...
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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...
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03/03/2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd counting has recently attracted increasing interest in computer vi...
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12/16/2018
Model-free Tracking with Deep Appearance and Motion Features Integration
Being able to track an anonymous object, a model-free tracker is compreh...
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11/30/2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
The advancement of deep convolutional neural networks (DCNNs) has driven...
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11/07/2018
Joint Tx-Rx Beamforming and Power Allocation for 5G Millimeter-Wave Non-Orthogonal Multiple Access (MmWave-NOMA) Networks
In this paper, we investigate the combination of non-orthogonal multiple...
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08/18/2018
In Defense of Single-column Networks for Crowd Counting
Crowd counting usually addressed by density estimation becomes an increa...
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04/01/2018
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing
Compression artifacts reduction (CAR) is a challenging problem in the fi...
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06/26/2017
YoTube: Searching Action Proposal via Recurrent and Static Regression Networks
In this paper, we present YoTube-a novel network fusion framework for se...
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05/03/2017
Gabor Convolutional Networks
Steerable properties dominate the design of traditional filters, e.g., G...
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12/16/2016
