[1]
Hung-Min Sun, Chao-Yen Chung, Zong-Han Lin, and Qi-Xian Huang*, “Advancements in Image Interpretation: Self-Supervised Learning of Object Structures for Enhanced Classification and Segmentation," in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2025.3556804, JCR:Q2
[2]
M.H Tsai, Q. -X. Huang, and H. -M. Sun, "FSRS: A Frequency Space Random Search Approach for Efficient Opaque-Box Adversarial Attack" in IEEE Transactions on Reliability, doi: 10.1109/TR.2025.3543269., JCR:Q1
[3]
C. Chilumbu, Q. -X. Huang and H. -M. Sun, "Utilizing a DenseSwin Transformer Model for the Classification of Maize Plant Pathology in Early and Late Growth Stages: A Case Study of Its Utilization Among Zambian Farmers," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi:10.1109/TETCI.2024.3444603., JCR:Q1
[4]
Q. -X. Huang, L. -K. Chiang, M. -Y. Chiu and H. -M. Sun, "Focus-Shifting Attack: An Adversarial Attack that Retains Saliency Map Information and Manipulates Model Explanations" in IEEE Transactions on Reliability, doi: TR-2023-098.R1, JCR:Q1
[5]
Q. -X. Huang, G. -S. Lin and H. -M. Sun, "Classification of Polyps in Endoscopic Images Using Self-Supervised Structured Learning," in IEEE Access, vol. 11, pp. 50025-50037, 2023, doi: 10.1109/ACCESS.2023.3277029. JCR:Q2
[6]
Q. -X. Huang, W. L. Yap, M. -Y. Chiu and H. -M. Sun, "Privacy-Preserving Deep Learning with Learnable Image Encryption on Medical Images," in IEEE Access, vol. 10, pp. 66345-66355, 2022, doi: 10.1109/ACCESS.2022.3185206. JCR:Q2
[7]
K. Zungu, Q. -X. Huang, M. -Y. Chiu and H. -M. Sun, "Response and Surveillance System for Diarrhoea Based on a Patient Symptoms Using Machine Learning: A Study on Eswatini," in IEEE Access, vol. 9, pp. 152945-152959, 2021, doi: 10.1109/ACCESS.2021.3124964 JCR:Q2
[1]
Liu, CY., Chiu, MY., Huang, QX., Sun, HM. (2021). PDF Malware Detection Using Visualization and Machine Learning. In: Barker, K., Ghazinour, K. (eds) Data and Applications Security and Privacy XXXV. DBSec 2021. Lecture Notes in Computer Science(), vol 12840. Springer, Cham. https://doi.org/10.1007/978-3-030-81242-3_12, Rank:B
[2]
Hsieh, PH., Chuah, H.Y., Huang, QX. (2023). Detecting Scoreboard Updates to Increase the Accuracy of ML Automatic Extraction of Highlights in Badminton Games. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science(), vol 14051. Springer, Cham. https://doi.org/10.1007/978-3-031-35894-4_35, Rank:B
