Search Results for author: Zhaoyang Zhang

Found 22 papers, 6 papers with code

Environment Sensing Considering the Occlusion Effect: A Multi-View Approach

no code implementations2 Jul 2022 Xin Tong, Zhaoyang Zhang, Yihan Zhang, Zhaohui Yang, Chongwen Huang, Kai-Kit Wong, Merouane Debbah

In this paper, we consider the problem of sensing the environment within a wireless cellular framework.

Semantic-preserved Communication System for Highly Efficient Speech Transmission

no code implementations25 May 2022 Tianxiao Han, Qianqian Yang, Zhiguo Shi, Shibo He, Zhaoyang Zhang

Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years.

speech-recognition Speech Recognition

Semantic-aware Speech to Text Transmission with Redundancy Removal

no code implementations7 Feb 2022 Tianxiao Han, Qianqian Yang, Zhiguo Shi, Shibo He, Zhaoyang Zhang

We also propose a two-stage training scheme, which speeds up the training of the proposed DL model.

Dynamic Token Normalization Improves Vision Transformer

1 code implementation5 Dec 2021 Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo

It is difficult for Transformers to capture inductive bias such as the positional context in an image with LN.

Computer Vision Inductive Bias +2

C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction

no code implementations5 Dec 2021 Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang, Xiaoming Chen, Caijun Zhong, Mérouane Debbah

Specifically, we first use a forward deep neural network to infer the positions of all possible images of the source reflected by the surrounding scatterers within that environment, and then use the well-known Gaussian Radial Basis Function network (GRBF) to approximate the amplitudes of all possible propagation paths.

Blind Channel Estimation for MIMO Systems via Variational Inference

no code implementations16 Nov 2021 Jiancheng Tang, Qianqian Yang, Zhaoyang Zhang

In this paper, we investigate the blind channel estimation problem for MIMO systems under Rayleigh fading channel.

Variational Inference

JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks

no code implementations16 Nov 2021 Yuqing Tian, Zhaoyang Zhang, Zhaohui Yang, Qianqian Yang

In this paper, a joint model split and neural architecture search (JMSNAS) framework is proposed to automatically generate and deploy a DNN model over a mobile edge network.

Neural Architecture Search

Communication-Efficient Federated Learning with Binary Neural Networks

1 code implementation5 Oct 2021 Yuzhi Yang, Zhaoyang Zhang, Qianqian Yang

{ Numerical results show that the proposed FL framework significantly reduces the communication cost compared to the conventional neural networks with typical real-valued parameters, and the performance loss incurred by the binarization can be further compensated by a hybrid method.

Binarization Federated Learning +1

Joint Multi-User Communication and Sensing Exploiting Both Signal and Environment Sparsity

no code implementations6 Sep 2021 Xin Tong, Zhaoyang Zhang, Jue Wang, Chongwen Huang, Merouane Debbah

As a potential technology feature for 6G wireless networks, the idea of sensing-communication integration requires the system not only to complete reliable multi-user communication but also to achieve accurate environment sensing.

object-detection Object Detection

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening

no code implementations13 May 2021 Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo

To address this problem, we develop a probability-based pruning algorithm, called batch whitening channel pruning (BWCP), which can stochastically discard unimportant channels by modeling the probability of a channel being activated.

FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation

1 code implementation15 Feb 2021 Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong

Prior arts often discretize the network weights by carefully tuning hyper-parameters of quantization (e. g. non-uniform stepsize and layer-wise bitwidths), which are complicated and sub-optimal because the full-precision and low-precision models have a large discrepancy.

Neural Network Compression Quantization

Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design

no code implementations22 Jan 2021 Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos, Kai Xiong, Li Wei, Chau Yuen, Zhaoyang Zhang, Merouane Debbah

We investigate the joint design of digital beamforming matrix at the BS and analog beamforming matrices at the RISs, by leveraging the recent advances in deep reinforcement learning (DRL) to combat the propagation loss.

Distributed ADMM with Synergetic Communication and Computation

no code implementations29 Sep 2020 Zhuojun Tian, Zhaoyang Zhang, Jue Wang, Xiaoming Chen, Wei Wang, Huaiyu Dai

In this paper, we propose a novel distributed alternating direction method of multipliers (ADMM) algorithm with synergetic communication and computation, called SCCD-ADMM, to reduce the total communication and computation cost of the system.

Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method

no code implementations20 Sep 2020 Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos, Kai Xiong, Li Wei, Chau Yuen, Zhaoyang Zhang

Wireless communication in the TeraHertz band (0. 1--10 THz) is envisioned as one of the key enabling technologies for the future six generation (6G) wireless communication systems.

Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

no code implementations4 Aug 2020 Li Wei, Chongwen Huang, George C. Alexandropoulos, Chau Yuen, Zhaoyang Zhang, Mérouane Debbah

We also discuss the downlink achievable sum rate computation with estimated channels and different precoding schemes for the base station.

AdaX: Adaptive Gradient Descent with Exponential Long Term Memory

1 code implementation21 Apr 2020 Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo

Although adaptive optimization algorithms such as Adam show fast convergence in many machine learning tasks, this paper identifies a problem of Adam by analyzing its performance in a simple non-convex synthetic problem, showing that Adam's fast convergence would possibly lead the algorithm to local minimums.

Computer Vision Natural Language Processing

Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks

no code implementations ICCV 2019 Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo

ResNeXt, still suffers from the sub-optimal performance due to manually defining the number of groups as a constant over all of the layers.

Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos

no code implementations15 Aug 2018 Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei zhang

Secondly, TSD significantly reduces the computations to run video action recognition with compressed frames on the cloud, while maintaining high recognition accuracies.

Action Recognition Action Recognition In Videos +1

Performance Evaluation of Channel Decoding With Deep Neural Networks

1 code implementation1 Nov 2017 Wei Lyu, Zhaoyang Zhang, Chunxu Jiao, Kangjian Qin, Huazi Zhang

With the demand of high data rate and low latency in fifth generation (5G), deep neural network decoder (NND) has become a promising candidate due to its capability of one-shot decoding and parallel computing.

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