期刊论文

1. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Jun Shao, and Hui Zhu. Efficient and Privacy-Preserving Similarity Range Query over Encrypted Time Series Data. IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 4, pp. 2501-2516，2021. (ESI高被引论文，Impact Factor: 7.3, CCF A类)
2. Yandong Zheng (郑艳冬), Hui Zhu, Rongxing Lu, Yunguo Guan, Songnian Zhang, Fengwei Wang, Jun Shao, and Hui Li. Efficient and Privacy-Preserving Aggregated Reverse kNN Query over Crowd-sensed Data. IEEE Transactions on Information Forensics and Security, 2023, early access. (Impact Factor: 6.8，CCF A类)
3. Yandong Zheng (郑艳冬), Hui Zhu, Rongxing Lu, Yunguo Guan, Songnian Zhang, Fengwei Wang, Jun Shao, and Hui Li. PHRkNN: Efficient and Privacy-Preserving Reverse kNN Query Over High-Dimensional Data in Cloud. IEEE Transactions on Dependable and Secure Computing, 2023, early access. (Impact Factor: 7.3, CCF A类)
4. Yandong Zheng (郑艳冬), Hui Zhu, Rongxing Lu, Yunguo Guan, Songnian Zhang, Fengwei Wang, Jun Shao, and Hui Li. PGSim: Efficient and Privacy-Preserving Graph Similarity Query Over Encrypted Data in Cloud. IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2030-2045, 2023. (Impact Factor: 6.8，CCF A类)
5. Yandong Zheng (郑艳冬), Rongxing Lu, Hui Zhu, Songnian Zhang, Yunguo Guan, Jun Shao, Fengwei Wang, and Hui Li. SetRkNN: Efficient and Privacy-Preserving Set Reverse kNN Query in Cloud. IEEE Transactions on Information Forensics and Security, vol. 18, pp. 888-903, 2022. (Impact Factor: 6.8，CCF A类)
6. Yandong Zheng (郑艳冬), Rongxing Lu, Songnian Zhang, Yunguo Guan, Fengwei Wang, Jun Shao, and Hui Zhu. PRkNN: Efficient and Privacy-Preserving Reverse kNN Query Over Encrypted Data. IEEE Transactions on Dependable and Secure Computing, 2022, early access. (Impact Factor: 7.3, CCF A类)
7. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Songnian Zhang, Jun Shao, and Hui Zhu. Efficient and Privacy-Preserving Similarity Query with Access Control in eHealthcare. IEEE Transactions on Information Forensics and Security, vol. 17, pp. 880-893, 2022. (Impact Factor: 6.8，CCF A类)
8. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Jun Shao, and Hui Zhu. Towards Practical and Privacy-Preserving Multi-dimensional Range Query over Cloud. IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 5, pp. 3478-3493, 2021. (Impact Factor: 7.3, CCF A类)
9. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Jun Shao, and Hui Zhu. Achieving Efficient and Privacy-Preserving Exact Set Similarity Search over Encrypted Data. IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 2, pp. 1090-1103, 2020. (Impact Factor: 7.3, CCF A类)
10. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Songnian Zhang, Jun Shao, Fengwei Wang, and Hui Zhu. Efficient and Privacy-Preserving Spatial-Feature-Based Reverse kNN Query. IEEE Transactions on Services Computing, 2022, early access. (Impact Factor: 8.1, CCF A类)
11. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Jun Shao, and Hui Zhu. Efficient Privacy-Preserving Similarity Range Query with Quadsector Tree in eHealthcare. IEEE Transactions on Services Computing, 2021. (Impact Factor: 8.1, CCF A类)
12. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Jun Shao, and Hui Zhu. Achieving Efficient and Privacy-Preserving Set Containment Search over Encrypted Data. IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2604-2618, 2021. (Impact Factor: 8.1, CCF A类)
13. Yandong Zheng (郑艳冬), Rongxing Lu, Jun Shao, Fan Yin, and Hui Zhu. Achieving Practical Symmetric Searchable Encryption with Search Pattern Privacy over Cloud. IEEE Transactions on Services Computing, vol. 15, no. 3, pp.1358-1370, 2020. (Impact Factor: 8.1, CCF A类)
14. Yandong Zheng (郑艳冬), Rongxing Lu, Songnian Zhang, Yunguo Guan, Jun Shao, Fengwei Wang, and Hui Zhu. PMRQ: Achieving Efficient and Privacy-Preserving Multidimensional Range Query in eHealthcare. IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17468-17479, 2022. (Impact Factor: 10.6, 中科院一区)
15. Yandong Zheng (郑艳冬), Rongxing Lu, Beibei Li, Jun Shao, Haomiao Yang, and Kim-Kwang Raymond Choo. Efficient Privacy-Preserving Data Merging and Skyline Computation over Multi-source Encrypted Data. Information Sciences, vol. 498, pp. 91–105, 2019. (Impact Factor: 8.1, 中科院一区)
16. Yandong Zheng (郑艳冬), Rongxing Lu, Yunguo Guan, Songnian Zhang, Jun Shao, and Hui Zhu. Toward Privacy-Preserving Healthcare Monitoring based on Time-Series Activities over Cloud. IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1276-1288, 2021. (Impact Factor: 10.6, 中科院一区)

会议论文

1. Yandong Zheng, Rongxing Lu, Yunguo Guan, Songnian Zhang, and Jun Shao. Towards Private Similarity Query based Healthcare Monitoring over Digital Twin Cloud Platform. IEEE/ACM International Symposium on Quality of Service (IWQoS), 2021. (CCF B)
2. Yandong Zheng, Hui Zhu, Rongxing Lu, Songnian Zhang, Yunguo Guan, and Fengwei Wang. Towards Efficient and Privacy-Preserving Federated Learning for HMM Training. IEEE Global Communications Conference (GLOBECOM), 2023, accepted. (CCF C)
3. Yandong Zheng, Hui Zhu, Rongxing Lu, and Fengwei Wang. PRRkNN: Efficient and Privacy-Preserving Range-Based Reverse kNN over Encrypted Data. IEEE International Conference on Communications (ICC), 2023. (CCF C)
4. Yandong Zheng, Rongxing Lu, Songnian Zhang, Hui Zhu, and Fengwei Wang. Efficiency-Improved Privacy-Preserving Weighted Similarity Query over Outsourced eHealthcare Data. IEEE Global Communications Conference (GLOBECOM), 2022. (CCF C)
5. Yandong Zheng, Rongxing Lu, and Songnian Zhang. Achieving Privacy-Preserving Weighted Similarity Range Query over Outsourced eHealthcare Data. IEEE International Conference on Communications (ICC), 2022. (CCF C)
6. Yandong Zheng and Rongxing Lu, Efficient Privacy-Preserving Similarity Range Query based on Pre-Computed Distances in eHealthcare. IEEE Global Communications Conference (GLOBECOM), 2020. (CCF C)
7. Yandong Zheng, Rongxing Lu, and Mohammad Mamun. Privacy-Preserving Computation Offloading for Time-Series Activities Classification in eHealthcare. IEEE International Conference on Communications (ICC), 2020. (CCF C)
8. Yandong Zheng, Rongxing Lu, Xue Yang, and Jun Shao. Achieving Efficient and Privacy-Preserving Top-k Query Over Vertically Distributed Data Sources. IEEE International Conference on Communications (ICC), 2019. (CCF C)