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Refereed Journal Papers

[18] Mohammed Alzahrani, Qianlong Wang, Weixian Liao, Xuhui Chen, and Wei Yu, “Survey on Multi-Task Learning in Smart Transportation,” IEEE ACCESS, 2024.

[17] Medhi, Jishu K., Rui Liu, Qianlong Wang, and Xuhui Chen, "Robust Multiagent Reinforcement Learning for UAV Systems: Countering Byzantine Attacks" Information 14, no. 11: 623, 2023.

[16] Qianlong Wang, Weixian Liao, Yifan Guo, Michael McGuire, and Wei Yu. “Blockchain-Empowered Federated Learning Through Model and Feature Calibration.” IEEE Internet of Things Journal, 2023.

[15] Liang, Hengshuo, Lauren Burgess, Weixian Liao, Qianlong Wang, and Wei Yu, “16 On Detecting Interest Flooding Attacks in Named Data Networking (NDN)–based IoT Searches.” AI, Machine Learning and Deep Learning: A Security Perspective, 2023.

[14] Falayi, Ayodeji, Qianlong Wang, Weixian Liao, and Wei Yu, “Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology.” Future Internet 15, no. 5: 178, 2023

[13] Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, and Pan Li, “Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties,” in IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 5717-5729, Aug. 2022.

[12] Zheyi Chen, Weixian Liao, Pu Tian, Qianlong Wang, and Wei Yu, “A Fairness-Aware Peer to Peer Decentralized Learning Framework with Heterogeneous Devices” Future Internet 14, no. 5: 138. https://doi.org/10.3390/fi14050138, 2022.

[11] 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.

[10] Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Geyong Min, and Pan Li, "Unsupervised Anomaly Detection in IoT Systems for Smart Cities," IEEE Transactions on Network Science and Engineering, Sep. 2020.

[9] Tianxi Ji, Yifan Guo, Qianlong Wang, Xufei Wang, and Pan Li, “ECONOMY: Point Clouds-based Energy-efficient Autonomous Navigation for UAVs,” IEEE Transactions on Network Science and Engineering, 2020.

[8] Qianlong Wang, Yifan Guo, Lixing Yu, Xuhui Chen, and Pan Li, "Deep Q-Network based Feature Selection for Multi-Sourced Data Cleaning," IEEE Internet of Things Journal, Aug. 2020.

[7] Lixing Yu, Ming Li, Wenqiang Jin, Yifan Guo, Qianlong Wang, Feng Yan, and Pan Li, "STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks," IEEE Transactions on Mobile Computing, Jun 2020.

[6] 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, Apr. 2020.

[5] 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.

[4] Tianxi Ji, Changqing Luo, Yifan Guo, QianlongWang, Lixing Yu, and Pan Li, "Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach," IEEE Transactions on Computational Social Systems, vol. 7, no. 1, pp. 151-163, Feb. 2020.

[3] Lixing Yu, Yifan Guo, QianlongWang, Changqing Luo, Ming Li, Weixian Liao, and Pan Li, "Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach," IEEE Transactions on Cognitive Communications and Networking, Feb. 2020.

[2] Changqing Luo, Jinlong Ji, Qianlong Wang, Xuhui Chen, and Pan Li, "Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach," IEEE Transactions on Network Science and Engineering, vol. 7, no. 1, pp. 227-236, Jun. 2018.

[1] 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.

Refereed Conference Papers

[10] Rose Atuah, Martin Pineda, Daniel McKirgan, Qianlong Wang, and Michael McGuire, “Tropical Cyclone Intensity Forecasting Using Deep Learning,” 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023, pp. 1242-1247, doi: 10.1109/ICMLA58977.2023.00187.

[9] Martin Pineda, Qianlong Wang, Weixian Liao, Michael McGuire, and Wei Yu, ”A Multimodel Multi-task Learning System for Hurricane Genesis Prediction,” accepted by the Software Engineering Research, Management and Applications. SERA 2022. Studies in Computational Intelligence, vol 1053. Springer, 2022.

[8] 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.

[7] Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, and Pan Li, "Quantized Adversarial Training: An Iterative Quantized Local Search Approach," accepted by 2019 IEEE International Conference on Data Mining (ICDM'19), Nov. 2019. (Acceptance Ratio = 18.55%)

[6] Lixing Yu, Jinlong Ji, Yifan Guo, Qianlong Wang, Tianxi Ji, and Pan Li, "Smart Communications in Heterogeneous Spacecraft Networks: A Blockchain Based Secure Auction Approach," accepted by 2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW'19), Nov. 2019.

[5] 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. (Acceptance Ratio = 850/4752 = 17.9%)

[4] Xufei Wang, Weixian Liao, Yifan Guo, Lixing Yu, Qianlong Wang, Miao Pan, and Pan Li, "PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition," accepted by 2019 IEEE International Conference on Communications (ICC'19), Jul. 2019.

[3] Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, and Pan Li, "Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach," accepted by The 10th Asian Conference on Machine Learning (ACML'18), vol. 95, pp. 97-112, Nov. 2018.

[2] Changqing Luo, Jinlong Ji, Qianlong Wang, Lixing Yu, and Pan Li, "Online Power Control for 5G Wireless Communications: A Deep Q-Network Approach," accepted by 2018 IEEE International Conference on Communications (ICC'18), Jul. 2018.

[1] Lixing Yu, Qianlong Wang, Yifan Guo, and Pan Li, "Spectrum availability prediction in cognitive aerospace communications: A deep learning perspective," accepted by 2017 Cognitive Communications for Aerospace Applications Workshop (CCAA'17), Aug. 2017.