2023
Ming-Yi Hong, Shih-Yen Chang, Hao-Wei Hsu, Yi-Hsiang Huang, Chih-Yu Wang, and Che Lin, "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).
Yi-Cheng Lu, Shun-Ren Yang, Phone Lin, and Chih-Wei Huang, "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.
Tanoj Langore, Te-Cheng Hsu, Yi-Hsien Hsieh, and Che Lin, "LE-DTA: Local Extrema Convolution for Drug Target Affinity Prediction", in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Hao-Wei Hsu, Yen-Chen Lin, Chih-Wei Huang, Phone Lin, and Shun-Ren Yang, "Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems", in 2023 International Wireless Communications and Mobile Computing (IWCMC), pp. 1002-1007.
Xizhe Qiu, Chen-Yu Chiang, Phone Lin, Shun-Ren Yang, and Chih-Wei Huang, "Reinforcement Learning-Based Network Management based on SON for the 5G Mobile Network", in 2023 International Wireless Communications and Mobile Computing (IWCMC), pp. 1503-1508.
Hong-Yunn Chen, Meng-Hsun Wu, Ta-Wei Yang, Chih-Wei Huang, and Cheng-Fu Chou, "Attention-Aided Autoencoder-Based Channel Prediction for Intelligent Reflecting Surface-Assisted Millimeter-Wave Communications", IEEE Transactions on Green Communications and Networking, vol. 7, no. 4, 2023, pp. 1906-1919.
Shun-Ren Yang, Yi-Chun Lin, Phone Lin, and Yuguang Fang, "AIoTtalk: A SIP-Based Service Platform for Heterogeneous Artificial Intelligence of Things Applications", IEEE Internet of Things Journal, vol. 10, no. 16, 2023, pp. 14167-14181.
Chih-Wei Huang, Ibrahim Althamary, Yen-Cheng Chou, Hong-Yunn Chen, and Cheng-Fu Chou, "A DRL-Based Automated Algorithm Selection Framework for Cross-Layer QoS-Aware Scheduling and Antenna Allocation in Massive MIMO Systems", IEEE Access, vol. 11, 2023, pp. 13243-13256.
Te-Cheng Hsu and Che Lin, "Learning from small medical data—robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder", Bioinformatics Advances, vol. 3, no. 1, 01 2023, pp. vbac100.
Xin-Xue Lin, Phone Lin, En-Hau Yeh, Gi-Ren Liu, Wan-Ching Lien, and Yuguang Fang, "RAPIDEST: A Framework for Obstructive Sleep Apnea Detection", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, 2023, pp. 387-397.
