Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. - Yifan Guo 001; Weixian Liao; Qianlong Wang; Lixing Yu; Tianxi Ji; Pan Li 001 (ACML, 2018)

A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection. - Weixian Liao; Yifan Guo 001; Xuhui Chen; Pan Li 001 (IEEE BigData, 2018)

Differentially Private Community Detection in Attributed Social Networks. - Tianxi Ji; Changqing Luo; Yifan Guo 001; Jinlong Ji; Weixian Liao; Pan Li 001 (ACML, 2019)

PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition. - Xufei Wang; Weixian Liao; Yifan Guo 001; Lixing Yu; Qianlong Wang; Miao Pan; Pan Li 001 (ICC, 2019)

Quantized Adversarial Training: An Iterative Quantized Local Search Approach. - Yifan Guo 001; Tianxi Ji; Qianlong Wang; Lixing Yu; Pan Li 001 (ICDM, 2019)

TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map. - Qianlong Wang; Tianxi Ji; Yifan Guo 001; Lixing Yu; Xuhui Chen; Pan Li 001 (IEEE Access, 2020)

AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models. - Qianlong Wang; Yifan Guo 001; Xufei Wang; Tianxi Ji; Lixing Yu; Pan Li 001 (IEEE Internet Things J., 2020)

Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. - Lixing Yu; Yifan Guo 001; Qianlong Wang; Changqing Luo; Ming Li 006; Weixian Liao; Pan Li 001 (IEEE Trans. Cogn. Commun. Netw., 2020)

Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach. - Tianxi Ji; Changqing Luo; Yifan Guo 001; Qianlong Wang; Lixing Yu; Pan Li 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach. - Qianlong Wang; Yifan Guo 001; Lixing Yu; Pan Li 001 (IEEE Trans. Emerg. Top. Comput., 2020)

Unsupervised Anomaly Detection in IoT Systems for Smart Cities. - Yifan Guo 001; Tianxi Ji; Qianlong Wang; Lixing Yu; Geyong Min; Pan Li 001 (IEEE Trans. Netw. Sci. Eng., 2020)

Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach. - Yifan Guo 001; Qianlong Wang; Tianxi Ji; Xufei Wang; Pan Li 001 (IEEE BigData, 2021)

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. - Yifan Guo 001; Lixing Yu; Qianlong Wang; Tianxi Ji; Yuguang Fang; Jin Wei-Kocsis; Pan Li 001 (MobiHoc, 2021)

Toward Combatting COVID-19: A Risk Assessment System. - Qianlong Wang; Yifan Guo 001; Tianxi Ji; Xufei Wang; Bingfang Hu; Pan Li 001 (IEEE Internet Things J., 2021)

Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning. - Qianlong Wang; Yifan Guo 001; Lixing Yu; Xuhui Chen; Pan Li 001 (IEEE Internet Things J., 2021)

STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. - Lixing Yu; Ming Li 006; Wenqiang Jin; Yifan Guo 001; Qianlong Wang; Feng Yan 001; Pan Li 001 (IEEE Trans. Mob. Comput., 2021)

ECONOMY: Point Clouds-Based Energy-Efficient Autonomous Navigation for UAVs. - Tianxi Ji; Yifan Guo 001; Qianlong Wang; Xufei Wang; Pan Li 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach. - Usman Shuaibu Musa; Yifan Guo 001; Cheng Qian 007; Wei Yu 002 (IEEE Big Data, 2023)

Attack Evaluations of Deep Learning Empowered WiFi Sensing in IoT Systems. - Jianchao Song; Cheng Qian 007; Yifan Guo 001; Kun Hua; Wei Yu 002 (INFOCOM Workshops, 2023)

Digital Twins of Smart Campus: Performance Evaluation Using Machine Learning Analysis. - Adamu Hussaini; Cheng Qian 007; Yifan Guo 001; Chao Lu 002; Wei Yu 002 (SERA, 2023)

Open Radio Access Networks for Smart IoT Systems: State of Art and Future Directions. - Abubakar Ahmad Musa; Adamu Hussaini; Cheng Qian 007; Yifan Guo 001; Wei Yu 002 (Future Internet, 2023)

A Real-Time Hand Gesture Recognition System on Raspberry Pi: A Deep Learning-Based Approach. - Alyssa Yu; Cheng Qian 007; Yifan Guo 001 (CCNC, 2024)

QATFP-YOLO: Optimizing Object Detection on Non-GPU Devices with YOLO Using Quantization-Aware Training and Filter Pruning. - Gift Idama; Yifan Guo 001; Wei Yu 002 (ICCCN, 2024)

Deep learning-based power quality disturbance detection and classification in smart grid. - Hengshuo Liang; Wei Yu 002; Cheng Qian 007; Yifan Guo 001; David W. Griffith; Nada Golmie (Int. J. Sens. Networks, 2024)

Blockchain-Empowered Federated Learning Through Model and Feature Calibration. - Qianlong Wang; Weixian Liao; Yifan Guo 001; Michael P. McGuire; Wei Yu 002 (IEEE Internet Things J., 2024)

Collusive Backdoor Attacks in Federated Learning Frameworks for IoT Systems. - Saier Alharbi; Yifan Guo 001; Wei Yu 002 (IEEE Internet Things J., 2024)

Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things. - John Mulo; Hengshuo Liang; Mian Qian; Milon Biswas; Bharat S. Rawal; Yifan Guo 001; Wei Yu 002 (Future Internet, 2025)

Survey of Artificial Intelligence Model Marketplace. - Mian Qian; Abubakar Ahmad Musa; Milon Biswas; Yifan Guo 001; Weixian Liao; Wei Yu 002 (Future Internet, 2025)