研究方向
学术论文
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 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
科研项目
