近期研究论文（第一作者/通信作者*）
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 andS. 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, andS. 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
