Research Interests
Big data (e.g., large-scale data analytics and computing, social networks, smart health, bioinformatics)<br>Security and privacy (e.g., mobile networks, distributed systems, cyber-physical systems, Internet of Things)<br>Network science and economics (e.g., optimization, capacity and connectivity)<br>Energy systems (e.g., smart grids, renewable energy systems)
Teaching Interests
Big data, communications and networks, cybersecurity.
Publications
Yilmaz, E., Ji, T., Ayday, E., & Li, P.
(2021).
Genomic Data Sharing under Dependent Local Differential Privacy.
arXiv preprint arXiv:2102.07357,
().
Wang, Q., Guo, Y., Wang, X., Ji, T., Yu, L., & Li, P.
(2020).
AI at the Edge: Blockchain-Empowered Secure Multiparty Learning with Heterogeneous Models.
IEEE Internet of Things Journal,
7
(10),
9600-9610.
Shen, J., Zhou, T., Lai, J., Li, P., & Moh, S.
(2020).
Secure and Efficient Data Sharing in Dynamic Vehicular Networks.
IEEE Internet of Things Journal,
7
(9),
8208-8217.
Yu, L., Guo, Y., Wang, Q., Luo, C., Li, Z., Liao, W., ... Li, P.
(2020).
Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach.
IEEE Transactions on Cognitive Communications and Networking,
6
(2),
476-485.
Ji, T., Luo, C., Guo, Y., Wang, Q., Yu, L., & Li, P.
(2020).
Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach.
IEEE Transactions on Computational Social Systems,
7
(1),
151-163.
Luo, C., Ji, J., Wang, Q., Chen, X., & Li, P.
(2020).
Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach.
IEEE Transactions on Network Science and Engineering,
7
(1),
227-236.
Wang, Q., Guo, Y., Yu, L., & Li, P.
(2020).
Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach.
IEEE Transactions on Emerging Topics in Computing,
8
(1),
148-158.
Yu, L., Li, Z., Jin, W., Guo, Y., Wang, Q., Yan, X., ... Li, P.
(2020).
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Transactions on Mobile Computing,
(),
1-1.
Wang, Q., Ji, T., Guo, Y., Yu, L., Chen, X., & Li, P.
(2020).
TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map.
IEEE Access,
8
(),
60598-60612.
Guo, Y., Ji, T., Wang, Q., Yu, L., Min, G., & Li, P.
(2020).
Unsupervised Anomaly Detection in IoT Systems for Smart Cities.
,
().
Liao, W., Luo, C., Salinas, S., & Li, P.
(2019).
Efficient Secure Outsourcing of Large-scale Convex Separable Programming for Big Data.
IEEE Transactions on Big Data,
5
(3),
368-378.
Wang, Q., Ji, T., Guo, Y., Yu, L., Chen, X., & Li, P.
(2019).
TrafficChain: A Blockchain based Secure and Privacy-Preserving Traffic Map.
IEEE Access,
().
Luo, C., Yang, L., Min, G., & Li, P.
(2018).
Green TCP Transmission over Cognitive Radio Networks.
IEEE Transactions on Vehicular Technology,
67
(8),
7585-7592.
Li, Z., Liao, W., Chen, X., Sun, J., Huang, X., & Li, P.
(2018).
Economic-Robust Transmission Opportunity Auction for D2D Communications in Cognitive Mesh Assisted Cellular Networks.
IEEE Transactions on Mobile Computing,
17
(8),
1806-1819.
Salinas, S., Luo, C., Chen, X., Liao, W., & Li, P.
(2018).
Efficient Secure Outsourcing of Large-scale Sparse Linear Systems of Equations.
IEEE Transactions on Big Data,
4
(1),
26-39.
Luo, C., Ji, J., Chen, X., Li, Z., Yang, L., & Li, P.
(2018).
Parallel Secure Outsourcing of Large-scale Nonlinearly Constrained Nonlinear Programming Problems.
accepted by IEEE Transactions on Big Data,
().
Luo, C., Ji, J., Wang, Q., Chen, X., & Li, P.
(2018).
Channel State Information Prediction in 5G Wireless Communications: A Deep Learning Approach.
IEEE Transactions on Network Science and Engineering,
().
Zhuo, G., Jiang, Q., Guo, L., Li, Z., & Li, P.
(2017).
Privacy-Preserving Verifiable Set Operation in Big Data for Cloud-Assisted Mobile Crowdsourcing.
IEEE Internet of Things Journal,
4
(2),
572-582.
Liao, W., Salinas, S., Li, Z., Li, P., & Loparo, K. A.
(2017).
Cascading Failure Attacks in the Power System: A Stochastic Game Perspective.
IEEE Internet of Things Journal,
().
Ding, H., Fang, Y., Huang, X., Pan, M., Li, P., & Glisic, S.
(2017).
Cognitive Capacity Harvesting Networks: Architectural Evolution Towards Future Cognitive Radio Networks.
Communications Surveys and Tutorials, IEEE,
(),
1-1.
Li, X., Ding, H., Fang, Y., Pan, M., Li, P., Huang, X., ... Glisic, S.
(2017).
Collaborative Spectrum Trading and Sharing for Cognitive Radio Networks.
Handbook of Cognitive Radio,
(),
1--38.
Wang, Q., Guo, Y., Yu, L., & Li, P.
(2017).
Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach.
IEEE Transactions on Emerging Topics in Computing,
().
Li, Z., Liao, W., Chen, X., Sun, J., Huang, X., & Li, P.
(2017).
Economic-Robust Transmission Opportunity Auction for D2D Communications in Cognitive Mesh Assisted Cellular Networks.
IEEE Transactions on Mobile Computing,
().
Luo, C., Zhang, K., Salinas, S., & Li, P.
(2017).
SecFact: Secure Large-scale QR and LU Factorizations.
accepted by IEEE Transactions on Big Data,
().
Liao, W., Salinas, S., Li, Z., Li, P., & Pan, M.
(2016).
Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability.
IEEE Transactions on Emerging Topics in Computing,
4
(4),
541-555.
Li, P.
(2016).
Privacy-Preserving Energy Theft Detection in Microgrids: A State Estimation Approach.
IEEE Transactions on Power Systems,
().
Salinas, S., Chen, X., Ji, J., & Li, P.
(2016).
A Tutorial on Secure Outsourcing of Large-scale Computations for Big Data.
IEEE Access [21693536],
4
(),
1406-1416.
Zhuo, G., Jiang, Q., Guo, L., Li, Z., & Li, P.
(2016).
Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing.
IEEE Internet of Things Journal [23274662],
(),
1-Jan.
Kangas, M., Glisic, S., Fang, Y., & Li, P.
(2015).
Resource Harvesting in Cognitive Wireless Computing Networks With Mobile Clouds and Virtualized Distributed Data Centers: Performance Limits.
IEEE Transactions on Cognitive Communications and Networking,
().
