Tang, Z., Li, S., Kim, K. S. & Smith, J. S., Multi-Dimensional Wi-Fi Received Signal Strength Indicator Data Augmentation Based on Multi-Output Gaussian Process for Large-Scale Indoor Localization, Feb 2024, In: Sensors. 24, 3, 1026.
Wang, X., Bai, H., Yu, L., Zhao, Y. & Xiao, J., Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation, Jun 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 .
出版物
Hong, W., Wang, J., Lim, E. G., Leach, M., Wang, Z., Pei, R. & Huang, Y., Compact Distance-Adaptive Wireless Power Transfer Using a Reconfigurable Auxiliary Coil, 2025, In: IEEE Antennas and Wireless Propagation Letters.
Zhai, M., Tian, W., Pei, R., Xu, C., Leach, M., Lim, E. G., Wang, Z., Wang, J., Hua, Q., Aksinsolu, M., Liu, B. & Huang, Y., Design, Simulation and Measurement of Metapocket: An All-textile Reflective Metasurface for On-body Smartphone Radiation Improvement, 2025, In: IEEE Transactions on Consumer Electronics.
Zhao, H., Guan, R., Man, K. L., Yu, L. & Yue, Y., RePaIR: Repaired pruning at initialization resilience, Apr 2025, In: Neural Networks. 184, 107086.
Jiang, C., Ma, W., Huang, K., Wang, Q., Yang, X., Zhao, W., Wu, J., Wang, X., Xiao, J. & Niu, Z., Revisiting 3D point cloud analysis with Markov process, Feb 2025, In: Pattern Recognition. 158, 110997.
Guo, T., Zhang, T., Lim, E. G., Lopez-Benitez, M., Ma, F., & Yu, L., Underwater Acoustic Sensing for Target Localization with Rational Orthogonal Wavelet Signaling, 2025, In: IEEE Journal of Oceanic Engineering, 1-32.
Jiang, Z., Dong, Z., Leach, M., Wang, Z., Wang, J., Zhang, W. & Pei, R., A Compact Versatile Multi-band Antenna for WPAN Applications, 2024 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI 2024).
Sun, J., Duan, S., Yong, R., Yuan, H., Liu, S., Hoettges, K., Zhu, J., Leach, M. & Song, P., An Automated Microfluidic Paper-Based Analytical Device for Chemiluminescence Immunoassay, 15 Jul 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Lu, Y., Xu, B., Wang, J., Bu, Q., Leach, M. & Sun, J., An Autonomous Household Robot for Object Detection and Grasping, 2024, ICAC 2024 – 29th International Conference on Automation and Computing. Institute of Electrical and Electronics Engineers Inc., (ICAC 2024).
Zhai, M., Zhang, T., Pei, R., Leach, M., Lim, E. G., Wang, Z., Wang, J., Hua, Q., Aksinsolu, M., Liu, B. & Huang, Y., A Reflecting/Absorbing Dual-Mode Textile Metasurface Design, 2024, In: IEEE Antennas and Wireless Propagation Letters. 23, 10, p. 1-5 5 p.
Liu, Z., Wang, J., Lim, E. G., Leach, M., Wang, Z., Jiang, Z. & Huang, Y., Design of Dual-band CPW Rectenna for Wireless Power Transmission, Mar 2024, 18th European Conference on Antennas and Propagation, EuCAP 2024.
Ji, X., Wang, J., Man, K. L., Lim, E. G., Yue, Y., Zhou, J., Leach, M. & Wang, Z., Design of Metamaterial Using Split-Ring Resonators for Efficiency Enhancement of Wireless Power Transmission, 24 Oct 2024, IEEE MTT-S International Wireless Symposium (IWS 2024) .
Jiang, Z., Zhang, X., Leach, M., Wang, Z., Wang, J., Zhang, W. & Pei, R., Dual-band Flexible Antenna with AMC backing for Wearable Applications, May 2024, IEEE MTT-S International Wireless Symposium (IEEE IWS 2024).
Huang, Y., Dai, W., Leach, M. & Yu, L., Multi-AGV Coordination System Design Based on 3D SLAM, MQTT and WeChat Mini-program, 2024, 7th International Conference on Intelligent Robotics and Control Engineering, IRCE 2024. Institute of Electrical and Electronics Engineers Inc., p. 257-262 6 p.
Yuan, H., Yuan, W., Duan, S., Yong, R., Jiao, K., Wei, Y., Leach, M., Li, N., Zhang, X., Lim, E. G. & Song, P., Navigating the uncertainty: the impact of a student-centered final year project allocation mechanism on student performance, 18 Jun 2024, In: Humanities and Social Sciences Communications. 11, 1, 776.
Zhang, L., Wang, H., He, W. & Wang, X., Acoustic Indoor Localization based on Range and Relative Velocity in Non-Line-of-Sight Environment，2024, In: IEEE Sensors Journal. 24, 12, p. 1 1 p.
Qiu, R., Xu, M., Ling, Y., Smith, J. S., Yan, Y. & Wang, X., A Deep Top-down Framework towards Generalisable Multi-View Pedestrian Detection，22 Aug 2024, In: Neurocomputing. 607, 11 p., 128458.
Fan, P., Wang, S. & Wang, X., A high-performance conical-neck helmholtz resonator-based piezoelectric self-powered system for urban transportation，15 Apr 2024, In: Applied Acoustics. 220, 109945.
Zhang, L., Jiao, K., He, W. & Wang, X., Anchor Deployment Optimization for Range-Based Indoor Positioning Systems in Non-Line-of-Sight Environment，2024, In: IEEE Sensors Journal. 24, 15, p. 24405-24420 16 p.
Fan, P., Jiang, R., Wang, S., Wang, X., Zhang, Y. & Jia, D., An efficient acoustic energy harvester by using deep learning-based traffic prediction， Nov 2024, In: Energy.
Liu, Y., Li, S., Wang, X. & Xu, L., A Review of Hybrid Cyber Threats Modelling and Detection Using Artificial Intelligence in IIoT， 2024, In: CMES – Computer Modeling in Engineering and Sciences. 140, 2, p. 1233-1261 29 p.
Xu, X., Jiang, S., Zhao, J. & Wang, X., DCEL: Classifier Fusion Model for Android Malware Detection，1 Feb 2024, In: Journal of Systems Engineering and Electronics. 35, 1, p. 163-177 15 p.
Hu, B., Zhang, W., Al-Rubaye, S., Zhang, H., Wang, X. & Huang, S., Digital Twin-Empowered Offloading Optimisation and Resource Allocation for UAV-Assisted IoT Network Systems，28 Nov 2024, The 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall).
Wu, T., Zhang, Y., Zhao, H., Yue, Y., Yu, L. & Wang, X., Enhancing Automated Guided Vehicle Navigation with Multi-Sensor Fusion and Algorithmic Optimization，Jun 2024, 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2024. ·
Li, P., Xiao, Z., Wang, X., Huang, K., Huang, Y. & Gao, H., EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing，1 Jan 2024, In: IEEE Transactions on Intelligent Vehicles. 9, 1, p. 1830-1846 17 p.
Jia, N., Cui, W., Wang, X., Yang, L., Xue, C. & Wang, Z., FDME-RATE: Frequency-Domain-Based Multipath Extraction for Robust Acoustic TOA Estimation 2024, In: IEEE Internet of Things Journal. 11, 20, p. 32656-32669 14 p.
Qu, Y., Shi, L., Wang, X. & Wang, Z., Indoor Multi-Person Detection and Recognition through Footsteps: A Deep Learning Approach with Acoustic Signal Analysis, 2024, In: IEEE Sensors Journal. 24, 12, p. 1 1 p.
Xiao, Z., Li, P., Liu, C., Gao, H. & Wang, X., MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning，May 2024, In: Information Fusion. 105, 102250.
Gao, H., Qiu, B., Wang, Y., Yu, S., Xu, Y. & Wang, X., TBDB: Token Bucket-Based Dynamic Batching for Resource Scheduling Supporting Neural Network Inference in Intelligent Consumer Electronics， 1 Feb 2024, In: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS. 70, 1, p. 1134-1144 11 p.
Yang, Y., Lee, S., Kim, K. S., Zhang, H., Huang, X. & Pedrycz, W., Analysis on the Hesitation and its Application to Decision Making, 26 Jan 2024, In: Decision Making: Applications in Management and Engineering. 7, 2, p. 15-34 20 p.
Li, S., Kim, K. S., Tang, Z. & Smith, J. S., Hierarchical Stage-Wise Training of Linked Deep Neural Networks for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi RSSI Fingerprinting, 12 Sept 2024, In: IEEE Sensors Journal. Early Access, Early Access, p. 1-12 12 p.
Tang, Z., Li, S., Kim, K. S. & Smith, J. S., Multi-Dimensional Wi-Fi Received Signal Strength Indicator Data Augmentation Based on Multi-Output Gaussian Process for Large-Scale Indoor Localization, Feb 2024, In: Sensors. 24, 3, 1026.
Li, S., Tang, Z., Kim, K. S. & Smith, J. S., On the Use and Construction of Wi-Fi Fingerprint Databases for Large-Scale Multi-Building and Multi-Floor Indoor Localization: A Case Study of the UJIIndoorLoc Database, Jun 2024, In: Sensors. 24, 12, p. 1-27 27 p., 3827.
Kang, S. & Kim, K. S., Theoretical and Practical Bounds on the Initial Value of Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss for Resource-Constrained Wireless Sensor Nodes, 24 Jun 2024, In: Fiber and Integrated Optics. 43, 3, p. 111-121 11 p.
Zhou, Y., Yu, X., Lopez-Benitez, M., Yu, L. & Yue, Y., Corruption Robustness Analysis of Radar Micro-Doppler Classification for Human Activity Recognition, May 2024, In: IEEE Transactions on Radar Systems. 2, p. 504-516
Wang, C., Yu, L., Su, J., Shen, J., Selis, V., Yang, C. & Ma, F., Fully Automatic Karyotyping via Deep Convolutional Neural Networks, 22 Mar 2024, In: IEEE Access. 12, p. 46081-46092 12 p.
Zhou, Y., Yu, X., Lopez-Benitez, M., Yu, L. & Yue, Y., Radar-Based Swimming Activity Recognition with Temporal Dynamic Convolution and Spectral Data Augmentation, 2024, In: IEEE Sensors Journal.
Zhou, Y., Song, N., Ma, J., Man, K. L., López-Benítez, M., Yu, L. & Yue, Y., RAV4D: A Radar-Audia-Visual Dataset for Indoor Multi – Person Tracking, May 2024, RadarConf 2024 – 2024 IEEE Radar Conference, Proceedings.
Zhou, Y., Lopez-Benitez, M., Yu, L. & Yue, Y., Text2Doppler: Generating Radar Micro-Doppler Signatures for Human Activity Recognition via Textual Descriptions, 2024, In: IEEE Sensors Letters. 8, 10, 3503504.
Wang, X., Bai, H., Yu, L., Zhao, Y. & Xiao, J., Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation, Jun 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 .
Jiang, R., Wang, S., Jia, D., Mao, G. & Lim, E. G., An Adaptive Prediction Model for Randomly Distributed Traffic Data in Urban Road Networks，2025, In: IEEE Transactions on Vehicular Technology.
Fan, P., Jiang, R., Wang, S., Wang, X., Zhang, Y. & Jia, D., An efficient acoustic energy harvester by using deep learning-based traffic prediction，Nov 2024, In: Energy.
Wang, C., Jia, D., Zheng, Z., Wang, W. & Wang, S., A Novel Feature-Sharing Auto-Regressive Neural Network for Enhanced Car-Following Model Calibration，2024, IEEE ITSC 2024.
Gu, H., Wang, S., Ma, X., Jia, D., Mao, G., Lim, E. G. & Wong, C. P. R., Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning， 2024, In: IEEE Transactions on Intelligent Transportation Systems. 25, 7, p. 7619-7632 14 p.
Liu, B., Hao, J., Wang, E., Jia, D., Han, W., Wu, L. & Xiong, S., Multi-Agent Reinforcement Learning Based Resource Allocation for Efficient Message Dissemination in C-V2X Networks， 2024, 2024 IEEE/ACM 32nd International Symposium on Quality of Service, IWQoS 2024.
Liu, Z., Fang, Y., Cai, Z., Liu, Y., Dong, Z., Zheng, R., Shen, Z., Wu, R., Qu, W., Fu, J., Ru, C., Wu, Y., Gu, J., Liu, Y., Liu, Q., Zhao, C. & Wen, Z., Advanced dual-input artificial optical synapse for recognition and generative neural network, 15 Dec 2024, In: Nano Energy. 132, 110347.
Cheng, B., Huang, H., Wu, S., Song, Z., Liu, Q. & Zheng, Y., Jul 2024, Advancing Cuffless Arterial Blood Pressure Waveform Estimation: Time-Series Deep Neural Network Approach,The 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 15-19 July 2024, Orlando, USA. IEEE Press
Qi, J., Cai, R., Liu, Q., Wang, W., Ma, J. & Chen, J., A Dynamic Bayesian Multi-channel Fusion Scheme for Heart Rate Monitoring with Ballistocardiograph Signals in Free Living Environments, In: IEEE Journal of Selected Areas in Sensors, 2024.
Zheng, Y., Gao, J., Hong, J., Wu, S., Zhang, Y. & Liu, Q., UTransBPNet: A General Deep Learning Model for Cuffless Blood Pressure Estimation under Activities, 6 Nov 2024, In: Biomedical Signal Processing and Control.
科研项目
专利成果