b'Xianbin Cao'

research

∙ 09/18/2023

Heterogeneous Generative Knowledge Distillation with Masked Image Modeling

Small CNN-based models usually require transferring knowledge from a lar...

0 Ziming Wang, et al. ∙

research

∙ 08/20/2023

Representation Disparity-aware Distillation for 3D Object Detection

In this paper, we focus on developing knowledge distillation (KD) for co...

0 Yanjing Li, et al. ∙

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...

0 Kesong Wu, et al. ∙

research

∙ 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...

0 Yanjing Li, et al. ∙

research

∙ 05/21/2023

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

Vision transformers (ViTs) quantization offers a promising prospect to f...

0 Yanjing Li, et al. ∙

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...

0 Puguang An, et al. ∙

research

∙ 03/03/2023

Confidence-driven Bounding Box Localization for Small Object Detection

Despite advancements in generic object detection, there remains a perfor...

0 Huixin Sun, et al. ∙

research

∙ 10/13/2022

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer

The large pre-trained vision transformers (ViTs) have demonstrated remar...

0 Yanjing Li, et al. ∙

research

∙ 10/11/2022

Network Topology Inference based on Timing Meta-Data

Consider a processor having access only to meta-data consisting of the t...

0 Wenbo Du, et al. ∙

research

∙ 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...

0 Sheng Xu, et al. ∙

research

∙ 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...

0 Minrui Xu, et al. ∙

research

∙ 02/14/2022

Semantic Communication Meets Edge Intelligence

The development of emerging applications, such as autonomous transportat...

0 Wanting Yang, et al. ∙

research

∙ 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...

0 Wei Yang Bryan Lim, et al. ∙

research

∙ 11/13/2021

Networking of Internet of UAVs: Challenges and Intelligent Approaches

Internet of unmanned aerial vehicle (I-UAV) networks promise to accompli...

6 Peng Yang, et al. ∙

research

∙ 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 ...

0 Yang Wang, et al. ∙

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...

0 Peng Yang, et al. ∙

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...

0 Peng Yang, et al. ∙

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...

0 Peng Yang, et al. ∙

research

∙ 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...

0 Yutao Hu, et al. ∙

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...

0 Peng Yang, et al. ∙

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...

0 Peng Yang, et al. ∙

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...

0 Xing Xi, et al. ∙

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...

0 Peng Yang, et al. ∙

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...

0 Peng Yang, et al. ∙

research

∙ 03/03/2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

Crowd counting has recently attracted increasing interest in computer vi...

0 Xiaolong Jiang, et al. ∙

research

∙ 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...

0 Xiaolong Jiang, et al. ∙

research

∙ 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...

8 Jiaxin Gu, et al. ∙

research

∙ 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...

0 Lipeng Zhu, et al. ∙

research

∙ 08/18/2018

In Defense of Single-column Networks for Crowd Counting

Crowd counting usually addressed by density estimation becomes an increa...

0 Ze Wang, et al. ∙

research

∙ 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...

0 Baochang Zhang, et al. ∙

research

∙ 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...

0 Hongyuan Zhu, et al. ∙

research

∙ 05/03/2017

Gabor Convolutional Networks

Steerable properties dominate the design of traditional filters, e.g., G...

0 Shangzhen Luan, et al. ∙

research

∙ 12/16/2016

Output Constraint Transfer for Kernelized Correlation Filter in Tracking

Kernelized Correlation Filter (KCF) is one of the state-of-the-art objec...

0 Baochang Zhang, et al. ∙

Xianbin Cao

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