2023
T. Langore et al., "LE-DTA: Local Extrema Convolution for Drug Target Affinity Prediction", in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5.
H. Hsu et al., "Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems", in 2023 International Wireless Communications and Mobile Computing (IWCMC), pp. 1002-1007.
X. Qiu et al., "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.
H. Chen et al., "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.
S. Yang et al., "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.
C. Huang et al., "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.
T. Hsu, C. 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.
X. Lin et al., "RAPIDEST: A Framework for Obstructive Sleep Apnea Detection", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, 2023, pp. 387-397.