周四望，博士，教授，博士生导师。本科毕业于复旦大学，分别在湘潭大学和湖南大学获得硕士、博士学位，新加坡南洋理工大学访问学者，湖南省青年骨干教师，获教育部“新世纪优秀人才计划”资助。在国内外重要学术期刊上发表了多篇研究论文，出版了学术专著“无线传感器网络中的小波方法”。目前在湖南大学信息科学与工程学院从事教学和科研工作。

联系方式：swzhou@hnu.edu.cn

[1]国家自然科学基金，基于压缩感知理论的群智感知网络去中心化存储方法研究

[2]国家自然科学基金，机会网络小波多分辨数据收集方法

[3]湖南省自然科学基金，传感器网络数据融合时的报头压缩算法研究

[4]湖南省自然科学基金，公众传感机会压缩方法研究

发表论文：

[1]J. Peng, S. Zhou*, L. Ouyang, X. Liu. Volatility-Based Diversity Awareness for Distributed Data Storage of Mobile Crowd Sensing,Computer Networks, 2024

[2]X. Liu, S. Zhou*, J. Luo, J. Yu, W. Zhang. Region-Based Compressive Distributed Storage in Mobile Crowd Sensing, Future Generation Computer Systems (FGCS), 2024

[3]S. Zhou, X. Zhang, Y. Liu, H. Jiang, and K. Li. Decentralized and Compressed Data Storage for Mobile Crowdsensing, IEEE Transactions on Mobile Computing (TMC), 2023

[4]S. Zhou, X. Deng, C. Li, Y. Liu, and H. Jiang. Recognition-Oriented Image Compressive Sensing with Deep Learning, IEEE Transactions on Multimedia (TMM), 2023

[5]X. Liu, S. Zhou*, J. Peng, W. Zhang, D. Tang, and K. Li. Stopping Criteria for Distributed Data Storage in Compressive Crowdsensing Systems, IEEE Internet of Things Journal (IOTJ), 2023

[6]X. Liu, S. Zhou*, J. Peng, J. Yu, Y. He, and W. Zhang. Adaptive Sampling Allocation for Distributed Data Storage in Compressive Crowdsensing, IEEE Internet of Things Journal (IOTJ), 2023

[7]W. Gao and S. Zhou*. Privacy-Preserving for Dynamic Real-Time Published Data Streams Based on Local Differential Privacy, IEEE Internet of Things Journal (IOTJ), 2023

[8]X. Liu, S. Zhou*, W. Zhang, T. Dong, and K. Li, Privacy-Preserving Truth Discovery for Collaborative-Cloud Encryption in Mobile Crowdsensing, IEEE Systems Journal (ISJ), 2023

[9]D. Tang, S. Zhou*, H. Jiang, H. Chen, and Y. Liu. Gender-Adversarial Networks for Face Privacy Preserving, IEEE Internet of Things Journal (IOTJ), 2022

[10]S. Zhou, Y. Lian, D. Liu, H. Jiang, Y. Liu, and K. Li. Compressive Sensing Based Distributed Data Storage for Mobile Crowdsensing, ACM Transactions on Sensor Networks (TOSN), 2022

[11]S. Zhou, Y. He, Y. Liu, C. Li, and J. Zhang. Multi-Channel Deep Networks for Block-Based Image Compressive Sensing, IEEE Transactions on Multimedia (TMM), 2021

[12]W. Zhang, S. Zhou*, D. Peng, L. Yang, F. Li, and H. Yin. Understanding and Modeling of WiFi Signal based Indoor Privacy Protection, IEEE Internet of Things Journal (IOTJ), 2020

[13]S. Zhou, W. Zhang, D. Peng, Y. Liu, X. Liao, and H. Jiang. Adversarial WiFi Sensing for Privacy Preservation of Human Behaviors, IEEE Communications Letters, 2020

[14]S. Zhou, Y. He, S. Xiang, K. Li, and Y. Liu. Region-Based Compressive Networked Storage With Lazy Encoding, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019

[15]S. Zhou, L. Xu, Y. Liu, L. Yang, and K. Li. A Distributed Compressive Data Gathering Framework For Mobile Crowdsensing, IEEE Internet of Things Journal (IOTJ), 2019

[16]W. Zhang, S. Zhou*, L. Yang, L. Ou, and Z. Xiao. WiFiMap+: High-Level Indoor Semantic Inference with WiFi Human Activity and Environment, IEEE Transactions on Vehicular Technology (TVT), 2019

[17]D. Tang, S. Zhou*, and W. Yang. Random-Filtering based Sparse Representation Parallel Face Recognition, Multimedia Tools and Applications, 2019

[18]S. Zhou, Q. Zhong, B. Ou, and Y. Liu. Data Ferries Based Compressive Data Gathering For Wireless Sensor Networks, Wireless Networks, 2019

[19]S. Zhou, Z. Chen, Q. Zhong, and H. Li. Block compressed sampling of image signals by saliency based adaptive partitioning, Multimedia Tools and Applications, 2019

[20]S. Zhou, S. Xiang, X. Liu, and Y. Liu. Compressive networked storage with lazy-encoding, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018

[21]S. Zhou, S. Xiang, X. Liu, and H. Li. Asymmetric block based compressive sensing for image signals, IEEE International Conference on Multimedia and Expo (ICME), 2018

[22]S. Zhou, Q. Zhong, B. Ou, and Y. Liu. Intelligent compressive data gathering using data ferries for wireless sensor networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017

[23]S. Zhou, Y. Liu, and W. Zhang. Compressed sensing of image signals with threshold processing, International Journal for Light and Electron Optics, 2017

[24]W. Zhang, and S. Zhou*. DeepMap+: Recognizing High-Level Indoor Semantics Using Virtual Features and Samples Based on a Multi-Length Window Framework, Sensors, 2017

[25]D. Tang, S. Zhou*, W. Yang, and Y. Liu. A two-phase representation-based face recognition method with ‘random-filtering’ virtual samples, International Joint Conference on Neural Networks (IJCNN), 2017

[26]张君涛,赵智慧,周四望*,矢量任务地图:群智感知任务渐进式分发方法,计算机学报, 2017