2024
Hsinhan Tsai, Ta-Wei Yang, Kai-Hao Ou, Tung-Hung Su, Che Lin, and Cheng-Fu Chou, "Multimodal Attention Network for Dementia Prediction", IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 11, 2024, pp. 6918-6930.
En-Hau Yeh, Yu-Ming Chen, Phone Lin, Shun-Ren Yang, and Rongxing Lu, "EADD: An Intelligent Edge-Based Anomaly Detection Platform for Car Driving", in ICC 2024 - IEEE International Conference on Communications, pp. 5208-5213.
Yu-Wei Chang, Hsing-Yu Shih, and Tsung-Nan Lin, "AI-URG: Account Identity-Based Uncertain Graph Framework for Fraud Detection", IEEE Transactions on Computational Social Systems, vol. 11, no. 3, 2024, pp. 3706-3728.
2023
David Akas Bedjo Rahardjo, and Homer 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.
Hong-Yunn Chen, Meng-Hsun Wu, Ta-Wei Yang, Jia-Wei Liao, Chih-Wei Huang, and Cheng-Fu Chou, "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.
Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Che Lin, and Chuan-Ju Wang, "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 et al., Eds., 2023, pp. 14307–14321.
Hsu-Hsiang Chang, Te-Cheng Hsu, Yi-Hsien Hsieh, and Che Lin, "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).
Lok-In Tsui, Te-Cheng Hsu, and Che 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).
Yi-Hsien Hsieh, Jung-Chi Hsu, Che Lin, and Lian-Yu Lin, "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).
Tzu-Chen Huang, Te-Cheng Hsu, Yi-Hsien Hsieh, and Che Lin, "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).
