Ph.D. in Computer Engineering, Department of Electrical, Computer, and Systems Engineering,
Case Western Reserve University, 2021
M.E. in Electrical Engineering, Department of Electrical and Computer Engineering,
Stevens Institute of Technology, 2015
B.E. in Automation, School of Electrical Engineering and Automation, Wuhan University,
2013
Big Data Analytics, Deep Learning, Security and Privacy in Distributed Systems (Cyber-Physical Systems, The Internet of Things), Blockchain and related applications, e.g., smart transportation, smart healthcare, etc.
Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, and Pan Li, “Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework,” accepted by ACM MobiHoc: The Twenty-Second ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc’21), Jul. 2021.
Qianlong Wang, Yifan Guo, Tianxi Ji, Xufei Wang, and Pan Li, “Towards Combatting COVID-19: A Risk Assessment System,” to appear in IEEE Internet of Things Journal, May 2021.
Qianlong Wang, Yifan Guo, Xufei Wang, Tianxi Ji, Lixing Yu, and Pan Li, “AI at the Edge: Blockchain-Empowered Secure Multiparty Learning with Heterogeneous Models,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9600-9610, Oct. 2020.
Qianlong Wang, Yifan Guo, Lixing Yu, Xuhui Chen, and Pan Li, “Deep Q-Network based Feature Selection for Multi-Sourced Data Cleaning,” to appear in IEEE Internet of Things Journal, Aug. 2020.
Qianlong Wang, Tianxi Ji, Yifan Guo, Lixing Yu, Xuhui Chen, and Pan Li, “TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map,” IEEE Access, Vol. 8, pp. 60598 - 60612, Mar. 2020.
Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, and Pan Li, “Learning to Learn Gradient Aggregation by Gradient Descent,” accepted by Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI'19), Aug. 2019.
Qianlong Wang, Yifan Guo, Lixing Yu, and Pan Li, “Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach,” IEEE Transactions on Emerging Topics in Computing, vol. 8, no. 1, pp. 148-158, Apr. 2017.
