Search Results for author: Zhaohui Yang

Found 52 papers, 9 papers with code

Semantic Information Extraction for Text Data with Probability Graph

no code implementations16 Sep 2023 Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Licheng Lin, Zhaoyang Zhang

In this paper, the problem of semantic information extraction for resource constrained text data transmission is studied.

Semantic Similarity Semantic Textual Similarity

Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses

no code implementations6 Jun 2023 Jiawen Kang, Jiayi He, Hongyang Du, Zehui Xiong, Zhaohui Yang, Xumin Huang, Shengli Xie

In this article, we propose a hierarchical SemCom-enabled vehicular metaverses framework consisting of the global metaverse, local metaverses, SemCom module, and resource pool.

MIMO Precoding Design with QoS and Per-Antenna Power Constraints

no code implementations4 Jun 2023 Kaiyi Chi, Yingzhi Huang, Qianqian Yang, Zhaohui Yang, Zhaoyang Zhang

Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem.

Distributed Learning over Networks with Graph-Attention-Based Personalization

1 code implementation22 May 2023 Zhuojun Tian, Zhaoyang Zhang, Zhaohui Yang, Richeng Jin, Huaiyu Dai

In conventional distributed learning over a network, multiple agents collaboratively build a common machine learning model.

Graph Attention

Semantic-aware Digital Twin for Metaverse: A Comprehensive Review

no code implementations12 May 2023 Senthil Kumar Jagatheesaperumal, Zhaohui Yang, Qianqian Yang, Chongwen Huang, Wei Xu, Mohammad Shikh-Bahaei, Zhaoyang Zhang

To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information extraction with inherent intelligence.


Self-information Domain-based Neural CSI Compression with Feature Coupling

no code implementations30 Apr 2023 Ziqing Yin, Renjie Xie, Wei Xu, Zhaohui Yang, Xiaohu You

The proposed SD-CsiNet projects the raw CSI onto a self-information matrix in the newly-defined self-information domain, extracts both temporal and spatial features of the self-information matrix, and then couples these two features for effective compression.

From Data Inferring to Physics Representing: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE

no code implementations9 Apr 2023 Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Chongwen Huang, Xiaoming Chen

Then, we design a novel physics-inspired spatial channel gradient network (SCGNet), which represents the derivative process of channel varying as a special neural network and can obtain the gradients at any relative displacement needed for the ODE solving.

Robust mmWave Beamforming by Self-Supervised Hybrid Deep Learning

no code implementations9 Mar 2023 Fenghao Zhu, Bohao Wang, Zhaohui Yang, Chongwen Huang, Zhaoyang Zhang, George C. Alexandropoulos, Chau Yuen, Merouane Debbah

Beamforming with large-scale antenna arrays has been widely used in recent years, which is acknowledged as an important part in 5G and incoming 6G.

Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

no code implementations3 Jan 2023 Yahao Ding, Zhaohui Yang, Quoc-Viet Pham, Zhaoyang Zhang, Mohammad Shikh-Bahaei

In this survey, we first introduce several popular DL algorithms such as federated learning (FL), multi-agent Reinforcement Learning (MARL), distributed inference, and split learning, and present a comprehensive overview of their applications for UAV swarms, such as trajectory design, power control, wireless resource allocation, user assignment, perception, and satellite communications.

Federated Learning Multi-agent Reinforcement Learning

TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection

no code implementations29 Nov 2022 Maham Misbah, Misha Urooj Khan, Zhaohui Yang, Zeeshan Kaleem

The results showed better performance for the proposed TF-Net in terms of precision, IoU, GFLOPS, model size, and FPS compared to the YOLOv5s.

Over-the-Air Split Learning with MIMO-Based Neural Network and Constellation-Based Activation

no code implementations8 Oct 2022 Yuzhi Yang, Zhaoyang Zhang, Zhaohui Yang

The precoding and combining matrices are trainable parameters in such a system, whereas the MIMO channel is implicit.

Over-the-Air Split Machine Learning in Wireless MIMO Networks

no code implementations7 Oct 2022 Yuzhi Yang, Zhaoyang Zhang, Yuqing Tian, Zhaohui Yang, Chongwen Huang, Caijun Zhong, Kai-Kit Wong

In such a split ML system, the precoding and combining matrices are regarded as trainable parameters, while MIMO channel matrix is regarded as unknown (implicit) parameters.

Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks

no code implementations15 Aug 2022 Songling Zhang, Zhaohui Yang, Mingzhe Chen, Danpu Liu, Kai-Kit Wong, H. Vincent Poor

Then, substituting the expressions of the beamforming matrices of the BS and the users, the original sum-rate maximization problem can be transformed into a problem that only needs to optimize the phase shifts of the IRS.

Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach

no code implementations8 Jul 2022 Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Richeng Jin

Through exploring the intrinsic correlation among a set of historical CSI instances randomly obtained in a certain communication environment, channel prediction can significantly increase CSI accuracy and save signaling overhead.

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.

Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI

no code implementations29 May 2022 Wen Wang, Wanli Ni, Hui Tian, Zhaohui Yang, Chongwen Huang, Kai-Kit Wong

This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks.

Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones

no code implementations3 Jan 2022 Zhe Zhang, Shiyao Ma, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Yi Wu, Kejia Zhang, Dusit Niyato

This emerging technology relies on sharing ground truth labeled data between Unmanned Aerial Vehicle (UAV) swarms to train a high-quality automatic image recognition model.

Federated Learning Privacy Preserving

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

Neural Architecture Dilation for Adversarial Robustness

no code implementations NeurIPS 2021 Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

With the tremendous advances in the architecture and scale of convolutional neural networks (CNNs) over the past few decades, they can easily reach or even exceed the performance of humans in certain tasks.

Adversarial Robustness

Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems

no code implementations4 Apr 2021 Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor

In this paper, the problem of minimizing the weighted sum of age of information (AoI) and total energy consumption of Internet of Things (IoT) devices is studied.

reinforcement-learning Reinforcement Learning (RL) +1

Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks

1 code implementation29 Jan 2021 Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor

The problem is formulated as an optimization problem whose goal is to maximize the reliability of the VR network by selecting the appropriate VAPs to be turned on and controlling the user association with SBSs.

Meta-Learning Meta Reinforcement Learning +2

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.

Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication

no code implementations24 Dec 2020 Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang

To meet the traffic and illumination demands of the ground users while minimizing the energy consumption of the UAVs, one must optimize UAV deployment, phase shift of RISs, user association and RIS association.

Information Theory Information Theory

A Survey on Visual Transformer

no code implementations23 Dec 2020 Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, DaCheng Tao

Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism.

Image Classification Inductive Bias

Adapting Neural Architectures Between Domains

1 code implementation NeurIPS 2020 Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

The power of deep neural networks is to be unleashed for analyzing a large volume of data (e. g. ImageNet), but the architecture search is often executed on another smaller dataset (e. g. CIFAR-10) to finish it in a feasible time.

Domain Adaptation Generalization Bounds +1

Federated Learning in Multi-RIS Aided Systems

no code implementations26 Oct 2020 Wanli Ni, Yuanwei Liu, Zhaohui Yang, Hui Tian, Xuemin Shen

This paper investigates the problem of model aggregation in federated learning systems aided by multiple reconfigurable intelligent surfaces (RISs).

Information Theory Signal Processing Information Theory

Beamforming Design for Multiuser Transmission Through Reconfigurable Intelligent Surface

no code implementations24 Sep 2020 Zhaohui Yang, Wei Xu, Chongwen Huang, Jianfeng Shi, Mohammad Shikh-Bahaei

To solve this problem, a dual method is proposed, where the dual problem is obtained as a semidefinite programming problem.

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.

Delay Minimization for Federated Learning Over Wireless Communication Networks

no code implementations5 Jul 2020 Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

In this paper, the problem of delay minimization for federated learning (FL) over wireless communication networks is investigated.

Federated Learning

Cooperative Rate-Splitting for Secrecy Sum-Rate Enhancement in Multi-antenna Broadcast Channels

no code implementations3 Jun 2020 Ping Li, Ming Chen, Yijie Mao, Zhaohui Yang, Bruno Clerckx, Mohammad Shikh-Bahaei

In this paper, we employ Cooperative Rate-Splitting (CRS) technique to enhance the Secrecy Sum Rate (SSR) for the Multiple Input Single Output (MISO) Broadcast Channel (BC), consisting of two legitimate users and one eavesdropper, with perfect Channel State Information (CSI) available at all nodes.

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

3 code implementations CVPR 2021 Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei zhang, Chao Xu, Chunjing Xu, DaCheng Tao, Chang Xu

To achieve an extremely fast NAS while preserving the high accuracy, we propose to identify the vital blocks and make them the priority in the architecture search.

Neural Architecture Search

Reflections in the Sky: Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with Reconfigurable Intelligent Surface

no code implementations21 May 2020 Hui Long, Ming Chen, Zhaohui Yang, Bao Wang, Zhiyang Li, Xu Yun, Mohammad Shikh-Bahaei

This paper investigates the problem of secure energy efficiency maximization for a reconfigurable intelligent surface (RIS) assisted uplink wireless communication system, where an unmanned aerial vehicle (UAV) equipped with an RIS works as a mobile relay between the base station (BS) and a group of users.

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

no code implementations1 May 2020 Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs.

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

1 code implementation CVPR 2020 Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu

To this end, we propose a hierarchical trinity search framework to simultaneously discover efficient architectures for all components (i. e. backbone, neck, and head) of object detector in an end-to-end manner.

Image Classification Neural Architecture Search +2

Discernible Image Compression

no code implementations17 Feb 2020 Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian

Experiments on benchmarks demonstrate that images compressed by using the proposed method can also be well recognized by subsequent visual recognition and detection models.

Image Compression object-detection +1

Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images

no code implementations arXiv 2019 Zhaohui Yang, Miaojing Shi, Chao Xu, Vittorio Ferrari, Yannis Avrithis

Weakly-supervised object detection attempts to limit the amount of supervision by dispensing the need for bounding boxes, but still assumes image-level labels on the entire training set.

Ranked #23 on Weakly Supervised Object Detection on PASCAL VOC 2012 test (using extra training data)

object-detection Weakly Supervised Object Detection

Deep Learning for Optimal Deployment of UAVs with Visible Light Communications

no code implementations28 Nov 2019 Yining Wang, Mingzhe Chen, Zhaohui Yang, Tao Luo, Walid Saad

Using GRUs and CNNs, the UAVs can model the long-term historical illumination distribution and predict the future illumination distribution.

Energy Efficient Federated Learning Over Wireless Communication Networks

no code implementations6 Nov 2019 Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei

To solve this problem, an iterative algorithm is proposed where, at every step, closed-form solutions for time allocation, bandwidth allocation, power control, computation frequency, and learning accuracy are derived.

Federated Learning Total Energy

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

1 code implementation17 Sep 2019 Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui

This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm.

Federated Learning

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

no code implementations17 Sep 2019 Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad

This problem is formulated as an optimization problem whose goal is to minimize the total transmit power while meeting the illumination and communication requirements of users.

CARS: Continuous Evolution for Efficient Neural Architecture Search

1 code implementation CVPR 2020 Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Architectures in the population that share parameters within one SuperNet in the latest generation will be tuned over the training dataset with a few epochs.

Neural Architecture Search

Data-Free Learning of Student Networks

3 code implementations ICCV 2019 Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian

Learning portable neural networks is very essential for computer vision for the purpose that pre-trained heavy deep models can be well applied on edge devices such as mobile phones and micro sensors.

Neural Network Compression

Revisiting Perspective Information for Efficient Crowd Counting

no code implementations CVPR 2019 Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen

Modern crowd counting methods employ deep neural networks to estimate crowd counts via crowd density regressions.

Crowd Counting regression

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