NATIONAL TSING HUA UNIVERSITY

X. Xie, Y. Lu, C.-Y. Chi, W. Chen, B. Ai, and D. Niyato, “KANsformer for scalable beamforming,” IEEE Trans. Vehicular Technology, pp. 1-6, 2025 (early access).

Y. Lu, C.-Y. Chi, B. Ai, and Z. Zhong, “Rate outage constrained energy efficiency under MISO interference channels,” IEEE Trans. Wireless Communications, vol. 24, no. 6, pp. 4677-4689, June 2025.

Y. Lu, C.-Y. Chi, B. Ai, and Z. Zhong, “Communication-sensing region for cell-free massive MIMO ISAC systems,” IEEE Trans. Wireless Communications, vol. 23, no. 9, pp. 12396-12411, Sep. 2024.

Y. Fang, Y. Liu, C.-Y. Chi, Z. Long and C. Zhu, “CS2DIPs: Unsupervised HSI super-resolution using coupled spatial and spectral DIPs,” IEEE Trans. Image Processing, vol. 33, pp. 3090-3101, May 2024.

Y. Li, H.-X. Ren, C.-Y. Chi, and Y.-B. Miao, “Artificial intelligence-guided gut-microenvironment-triggered imaging sensor reveals potential indicators of Parkinson's disease,” Advanced Science, vol. 11, no.23, pp. 1-14, June 2024.

Y. Li, C.-W. Huang, C.-Y. Chi, and T. Q. S. Quek, “Privacy-preserving federated primal-dual learning for non-convex and non-smooth problems with model sparsification,” IEEE Internet of Things Journal, vol. 11, no. 15, pp. 25853-25866, Aug. 2024.

Y.-A. Geng, C.-Y. Chi, W. Sun, J. Zhang, and Q. Li, “Disentangling clusters from non-Euclidean data via graph frequency reorganization,” Information Sciences, 662 (2024) 120288.

Y. Li, S. Wang, C.-Y. Chi and T. Q. S. Quek, “Differentially private federated clustering over non-IID data,” IEEE Internet of Things Journal, vol. 11, no. 4, pp. 6705-6721, Feb. 2024.

C.-H. Lin, Y. Liu, C.-Y. Chi, C.-C. Hsu, H. Ren, and Tony Q. S. Quek, “Hyperspectral tensor completion using low-rank modeling and convex functional analysis,” IEEE Trans. Neural Networks and Learning Systems, vol. 35, no. 8, pp. 10736-10750, Aug. 2024.

K. F. Niresi and C.-Y. Chi, “Robust hyperspectral inpainting via low-rank regularized untrained convolutional neural network,” IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, Jan. 2023.

Y. Li, S. Wang, C.-Y. Chi, and T. Q. S. Quek, “Differentially private federated learning in edge networks: The perspective of noise reduction,” IEEE Network, vol. 36, no. 5, pp. 167-172, Nov. 2022.

Keivan Faghih Niresi and Chong-Yung Chi, “Unsupervised hyperspectral denoising based on deep Image prior and least favorable distribution,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5967-5983, Aug. 2022.

W.-B. Wang, Y. Lu, and C.-Y. Chi, “Secrecy energy efficiency in cognitive radio networks with untrusted secondary users,” IEEE Trans. Green Communications and Networking, vol. 5, pp. 216-230, March 2021.