2024
E. Yeh et al., "EADD: An Intelligent Edge-Based Anomaly Detection Platform for Car Driving", in ICC 2024 - IEEE International Conference on Communications, pp. 5208-5213.
2023
D. A. Bedjo Rahardjo, H. H. Chen, "Cloud-Based Face Recognition for Augmented Reality Glasses", in 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), pp. 685-688.
H. Chen et al., "Intelligent Reflecting Surface Enhanced Wireless Communications With MultiHead-Attention Sparse Autoencoder-Based Channel Prediction", IEEE Communications Letters, vol. 27, no. 10, 2023, pp. 2757-2761.
J. . a. . . . . . H. Ju, "A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports", in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), A. Rogers, J. Boyd-Graber, N. Okazaki, Eds., Toronto, Canada: Association for Computational Linguistics, 2023, pp. 14307–14321.
H. Chang et al., "Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate", in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1-4.
L. Tsui, T. Hsu and C. Lin, "NG-DTA: Drug-target affinity prediction with n-gram molecular graphs", in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1-4.
Y. Hsieh et al., "X-RIM: Extreme Recurrent Independent Mechanisms for Noise-resistant and Interpretable Stroke Risk Prediction", in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1-4.
T. Huang et al., "Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data", in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1-4.
M. Hong et al., "TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks?", in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5.
Y. Lu et al., "VADtalk: An Internet of Vehicles Platform Facilitating Anomaly Detection Modeling and Deployment for Self-Driving Vehicles", in 2023 International Wireless Communications and Mobile Computing (IWCMC), pp. 733-738.
