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*, C. Li, Y. Li, and D. Chen. Mitigating Delivery Artifacts in Real-World Video Super-Resolution, the 33rd ACM International Conference on Multimedia (MM), 2025
2. J. Li and S. Zhou*. Block-Based Multi-Scale Image Rescaling, the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
3. Y. Li, S. Zhou*, L. Ouyang, J. Liu, and D. Tang. GFPNet: Generalizable Face Privacy Network with Dynamic Defense Training, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2025
4. 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), 23(5): 4694-4708, 2024
5. J. Peng, S. Zhou*, L. Ouyang, X. Liu. Volatility-Based Diversity Awareness for Distributed Data Storage of Mobile Crowd Sensing, Computer Networks, 248: 110466, 2024
6. 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), 11(7): 11767-11778, 2024
7. 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), 11(7): 12022-12032, 2024
8. 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), 11(8): 13551-13562, 2024
9. X. Liu, S. Zhou*, J. Luo, J. Yu, and W. Zhang. Region-based compressive distributed storage in Mobile CrowdSensing, Future Generation Computer Systems, 158(2024) 200-209, 2024
10. 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
11. J. Peng, S. Zhou*, and X. Liu. Volatility-Based Measurements Allocation for Distributed Data Storage in Mobile Crowd Sensing, IEEE Systems Journal, 17(4): 6665-6675，2023
12. X. Liu , S. Zhou*, W. Zhang , T., and K. Li. Privacy-Preserving Truth Discovery for Collaborative-Cloud Encryption in Mobile Crowdsensing, IEEE System Journal, 17(3): 4990-5001, 2023
13. 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), 18(2): Article 25, 2022
14. D. Tang, S. Zhou*, H. Jiang, H. Chen, and Y. Liu. Gender-Adversarial Networks for Face Privacy Preserving, IEEE Internet of Things Journal (IOTJ), 9(18): 17568-17576, 2022
15. 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), 23: 2627-2639, 2021
16. 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
17. 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
18. 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
19. 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
20. 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
21. D. Tang, S. Zhou*, and W. Yang. Random-Filtering based Sparse Representation Parallel Face Recognition, Multimedia Tools and Applications, 2019
22. S. Zhou, Q. Zhong, B. Ou, and Y. Liu. Data Ferries Based Compressive Data Gathering For Wireless Sensor Networks, Wireless Networks, 2019
23. 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
24. 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
25. 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
26. 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
27. S. Zhou, Y. Liu, and W. Zhang. Compressed sensing of image signals with threshold processing, International Journal for Light and Electron Optics, 2017
28. 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
29. 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
30. 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
