Publications

Journal Papers

  • Cheng Qian, Yifan Guo, Adamu Hussaini, Abubakar Ahmad Musa, Akshita Maradapu Vera Venkata Sai, and Wei Yu. “A New Layer Structure of Cyber-Physical Systems under the Era of Digital Twin,” to appear in ACM Transactions on Internet Technology (2024).

  • Saier Alharbi, Yifan Guo, and Wei Yu. “Collusive Backdoor Attacks in Federated Learning Frameworks for IoT Systems,” in IEEE Internet of Things Journal, vol. 11, no. 11, pp. 19694-19707, Jun. 2024.

  • Qianlong Wang, Weixian Liao, Yifan Guo, Michael McGuire, and Wei Yu. “Blockchain-Empowered Federated Learning Through Model and Feature Calibration,” in IEEE Internet of Things Journal, vol. 11, no. 4, pp. 5770-5780, Feb. 2024.

  • Abubakar Ahmad Musa, Adamu Hussaini, Cheng Qian, Yifan Guo, and Wei Yu. “Open Radio Access Networks for Smart IoT Systems: State of Art and Future Directions,” in Future Internet 2023, vol. 15, no. 12, pp. 380-404, Nov. 2023.

  • Qianlong Wang, Yifan Guo, Tianxi Ji, Xufei Wang, Bingfang Hu, and Pan Li, “Towards Combatting COVID-19: A Risk Assessment System,” in IEEE Internet of Things Journal, vol. 8, no. 21, pp. 15953-15964, Mar. 2021.

  • Tianxi Ji, Yifan Guo, Qianlong Wang, Xufei Wang, and Pan Li. “ECONOMY: Point Clouds-based Energy-efficient Autonomous Navigation for UAVs,” in IEEE Transactions on Network Science and Engineering, vol. 8, no. 4, pp. 2885-2896, Jan. 2021.

  • Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Geyong Min, and Pan Li, “Unsupervised Anomaly Detection in IoT Systems for Smart Cities,” in IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2231-2242, Oct. 2020.

  • 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,” in 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 Multisourced Data Cleaning,” in IEEE Internet of Things Journal, vol. 8, no. 21, pp. 16153-16164, Aug. 2020.

  • 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,” in IEEE Transactions on Mobile Computing, vol. 20, no. 12, pp. 3453-3466, Jun. 2020.

  • Lixing Yu, Yifan Guo, Qianlong Wang, Changqing Luo, Ming Li, Weixian Liao, and Pan Li, “Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach,” in IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 2, pp. 476-485, June 2020.

  • Qianlong Wang, Tianxi Ji, Yifan Guo, Lixing Yu, Xuhui Chen, and Pan Li, “TrafficChain: A Blockchain based Secure and Privacy-Preserving Traffic Map,” in IEEE Access, vol. 8, pp. 60598-60612, 2020.

  • Qianlong Wang, Yifan Guo, Lixing Yu, and Pan Li, “Earthquake Prediction based on Spatio-temporal Data Mining: An LSTM Network Approach.” in IEEE Transactions on Emerging Topics in Computing, vol. 8, no. 1, pp. 148-158, March 2020.

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

  • Yi Cai, Yifan Guo, Haotian Jiang, and Ming-Chun Huang, “Machine-learning Approaches for Recognizing Muscle Activities Involved in Facial Expressions Captured by Multi-channels Surface Electromyogram.” in Smart Health, no. 5 (2018): 15-25.

Conference Papers

  • Jianchao Song, Yifan Guo, Chao Lu, and Wei Yu. “A Physical WiFi Sensing Testbed for Smart Edge Sensing and Computing,” to appear in 6th International Workshop on Smart City Communication and Networking, IEEE International Conference Computer Communication Networks (ICCCN’24), July 2024.

  • Gift Idama, Yifan Guo, and Wei Yu. “QATFP-YOLO: Optimizing Object Detection on Non-GPU Devices with YOLO Using Quantization-Aware Training and Filter Pruning,” to appear in 1st International Workshop on Integrated Sensing, Communication, and Computing in Internet of Things (IoT) Systems, IEEE International Conference Computer Communication Networks (ICCCN’24), July 2024.

  • Hengshuo Liang, Qianlong Wang, Yifan Guo, Adamu Hussaini, Chao Lu, and Wei Yu. “An Exploration of Graph Transformer-Driven Deep Learning Techniques on Malware Detection,” to appear in 1st International Workshop on Integrated Sensing, Communication, and Computing in Internet of Things (IoT) Systems, IEEE International Conference Computer Communication Networks (ICCCN’24), July 2024.

  • Alyssa Yu, Cheng Qian, and Yifan Guo. “A Real-Time Hand Gesture Recognition System on Raspberry Pi: A Deep Learning-Based Approach,” in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC’24), pp. 499-506. IEEE, 2024.

  • Usman Shuaibu Musa, Yifan Guo, Cheng Qian, and Wei Yu. “Optimal Sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach,” in 2023 IEEE International Conference on Big Data (BigData’23), pp. 1230-1235. IEEE, 2023.

  • Adamu Hussaini, Cheng Qian, Yifan Guo, Chao Lu, and Wei Yu. “Digital Twins of Smart Campus: Performance Evaluation Using Machine Learning Analysis,” in 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA’23), pp. 132-137. IEEE, 2023.

  • Jianchao Song, Cheng Qian, Yifan Guo, Kun Hua, and Wei Yu. “Attack Evaluations of Deep Learning Empowered WiFi Sensing in IoT Systems,” in IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops (INFOCOM-WKSHPS’23), pp. 1-6. IEEE, 2023.

  • Yifan Guo, Qianlong Wang, Tianxi Ji, Xufei Wang, and Pan Li, “Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach,” in 2021 IEEE International Conference on Big Data (BigData’21), pp. 1172-1182. IEEE, 2021.

  • 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,” in the Twenty-Second ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc’21), pp. 201-210. 2021.

  • Tianxi Ji, Changqing Luo, Yifan Guo, Qianlong Wang, and Pan Li, “Differentially Private Community Detection in Attributed Social Networks,” in the 11th Asian Conference on Machine Learning (ACML’19), pp. 16-31. PMLR, 2019.

  • Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, and Pan Li, “Quantized Adversarial Training: An Iterative Quantized Local Search Approach,” in the 18th IEEE International Conference on Data Mining (ICDM’19), pp. 1066-1071. IEEE, 2019.

  • 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,” in the 2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW’19), pp. 1-4. IEEE, 2019.

  • 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,” in the 53rd IEEE International Conference on Communications (ICC’19), pp. 1-6. IEEE, 2019.

  • Weixian Liao, Yifan Guo, Xuhui Chen, and Pan Li, “A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection,” in the 2018 IEEE International Conference on Big Data (BigData’18), pp. 1208-1217. IEEE, 2018.

  • 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,” in the 10th Asian Conference on Machine Learning (ACML’18), pp. 97-112. PMLR, 2018.

  • Lixing Yu, Qianlong Wang, Yifan Guo, and Pan Li, “Spectrum Availability Prediction for Cognitive Aerospace Communications: A Deep Learning Perspective,” in the 2017 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW’17), pp. 1-4. IEEE, 2017.