Search Results - "Zhang, Shengbing"

A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security by Tefera, Mulugeta Kassaw, Jin, Zengwang, Zhang, Shengbing

“…With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the…”
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Efficient Object Detection Framework and Hardware Architecture for Remote Sensing Images by Li, Lin, Zhang, Shengbing, Wu, Juan

“…Object detection in remote sensing images on a satellite or aircraft has important economic and military significance and is full of challenges. This task…”
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Deep Reinforcement Learning-Assisted Optimization for Resource Allocation in Downlink OFDMA Cooperative Systems by Tefera, Mulugeta Kassaw, Zhang, Shengbing, Jin, Zengwang

“…This paper considers a downlink resource-allocation problem in distributed interference orthogonal frequency-division multiple access (OFDMA) systems under…”
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Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization by Yang, Zhao, Zhang, Shengbing, Li, Ruxu, Li, Chuxi, Wang, Miao, Wang, Danghui, Zhang, Meng

“…With the development of deep learning technologies and edge computing, the combination of them can make artificial intelligence ubiquitous. Due to the…”
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A Highly Efficient Heterogeneous Processor for SAR Imaging by Wang, Shiyu, Zhang, Shengbing, Huang, Xiaoping, An, Jianfeng, Chang, Libo

“…The expansion and improvement of synthetic aperture radar (SAR) technology have greatly enhanced its practicality. SAR imaging requires real-time processing…”
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A reconfigurable processor for mix-precision CNNs on FPGA by CHANG Libo, ZHANG Shengbing

“…To solve the problem of low computing efficiency of existing accelerators for convolutional neural network (CNNs), which caused by the inability to adapt to…”
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PaCHNOC: Packet and Circuit Hybrid Switching NoC for Real-Time Parallel Stream Signal Processing by Hao, Peng, Zhang, Shengbing, Zhou, Xinbing, Man, Yi, Liu, Dake

“…Real-time heterogeneous parallel embedded digital signal processor (DSP) systems process multiple data streams in parallel in a stringent time interval. This…”
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A Heterogeneous RISC-V Processor for Efficient DNN Application in Smart Sensing System by Zhang, Haifeng, Wu, Xiaoti, Du, Yuyu, Guo, Hongqing, Li, Chuxi, Yuan, Yidong, Zhang, Meng, Zhang, Shengbing

“…Extracting features from sensing data on edge devices is a challenging application for which deep neural networks (DNN) have shown promising results…”
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Design and exploration of neural network microsystem based on SiP by Lv, Hao, Zhang, Shengbing, Deng, Bao, Wang, Jia, Jing, Desheng, Chu, Yaoqin, Zhang, Kun

“…In recent years, microelectronics technology has entered the era of nanoelectronics/integrated microsystems. System in package (SiP) and system on chip (SoC)…”
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An automatic peak-valley current mode step-up/step-down DC-DC converter with smooth transition by Yanzhao Ma, Shaoxi Wang, Shengbing Zhang, Xiaoya Fan

“…This paper presents an automatic peak-valley current mode step-up/step-down DC-DC converter with high efficiency, small output voltage ripple, and fast…”
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Influence of relationship strengths to network structures in social network by Shengbing Zhang

“…Social network provide detailed records of human communication patterns, offering convenient way to information spreading and explore the structure of social…”
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Analog layout retargeting with geometric programming and constrains symbolization method by Shaoxi Wang, Xiaoya Fan, Shengbing Zhang, Jing Ming-e

“…To satisfy the requirements of complex and special analog layout constraints, a constrains symbolization method based on geometric programming for analog…”
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A passive monitoring model for P2P network based on 2D Bloom Filter data verification algorithm by Shengbing Zhang

“…P2P network monitoring acquires network information, analyzes the network topology characteristics and variation regularity to control the network mainly by…”
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Secure state estimation for event-triggered cyber-physical systems against deception attacks by Han, Zhichen, Zhang, Shengbing, Jin, Zengwang, Hu, Yanyan

“…Nowadays, cyber-physical systems (CPSs) have been widely used in various fields due to their powerful performance and low cost. The cyber attacks will cause…”
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A high-efficiency spaceborne processor for hybrid neural networks by Wang, Shiyu, Zhang, Shengbing, Huang, Xiaoping, Chang, Libo

“…Featuring with characteristics of convolutional neural network (CNN) and recurrent neural network (RNN), hybrid neural network (H-NN) has been widely applied…”
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MemUnison: A Racetrack-ReRAM-Combined Pipeline Architecture for Energy-Efficient in-Memory CNNs by Wang, Jihe, Liu, Jun, Wang, Danghui, Zhang, Shengbing, Fan, Xiaoya

“…Though ReRAM has been greatly successful in reducing energy consumption of various neural networks, it still suffers write amplification in energy, which…”
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A Reconfigurable Neural Network Processor With Tile-Grained Multicore Pipeline for Object Detection on FPGA by Chang, Libo, Zhang, Shengbing, Du, Huimin, Chen, Yue, Wang, Shiyu

“…In order to improve the computational efficiency of convolutional neural networks (CNNs) for object detection on reconfigurable platforms such as…”
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Optimal design and performance analysis of secure estimator for cyber‐physical systems against deception attacks by Han, Zhichen, Zhang, Shengbing, Jin, Zengwang, Hu, Yanyan

“…Cyber‐physical systems (CPSs) are increasingly vulnerable to the threat from malicious adversaries owing to the deep integration of networks and facilities;…”
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NDPGNN: A Near-Data Processing Architecture for GNN Training and Inference Acceleration by Wang, Haoyang, Zhang, Shengbing, Fan, Xiaoya, Yang, Zhao, Zhang, Meng

“…Graph neural networks (GNNs) require a large number of fine-grained memory accesses, which results in inefficient use of bandwidth resources. In this article,…”
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Efficient knowledge management for heterogeneous federated continual learning on resource-constrained edge devices by Yang, Zhao, Zhang, Shengbing, Li, Chuxi, Wang, Miao, Wang, Haoyang, Zhang, Meng

“…Federated learning (FL) is a promising and privacy-preserving distributed learning method that is widely deployed on edge devices. However, in practical…”
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