Ph. D., Assistant Professor
Department of Communication Engineering
National Central University (NCU)
Tel: Office: (03)5712121-54583
E-mail: uuranus001@gmail.com / lchuang@nycu.edu.tw
Liang-Chi Huang received the B.S. degree in 2017 and the Ph. D. degree in 2023, both in the department of electrical engineering from National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan. Since August 2026, he has been an Assistant Professor with the Department of Communication Engineering, National Central University (NCU), Taoyuan, Taiwan. From 2023 to 2026, he was a Postdoc with the institute of communications engineering , NYCU, Hsinchu, Taiwan. His research interests include signal processing, compressed sensing, and machine/deep learning.
Journal papers
Ming-Hsun Yang and Liang-Chi Huang, “Enhancing 1-bit compressive sensing with support estimation in noisy wireless sensor networks,” IEEE Transactions on Signal Processing, vol. 73, pp. 2660-2675, 2025.
Jwo-Yuh Wu, Liang-Chi Huang, Wen-Hsuan Li, Chun-Hung Liu, and Rung-Hung Gau, “Greedier is better: Selecting multiple neighbors per iteration for sparse subspace clustering,” Transactions on Machine Learning Research, Oct. 2023.
Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, and Chun-Hung Liu, “Sparse subspace clustering via two-step reweighted L1-minimization: algorithm and provable neighbor recovery rates,” IEEE Transactions on Information Theory, vol. 67, no. 2, pp. 1216-1263, Feb. 2021.
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Liang-Chi Huang, Y.-W. Peter Hong, and Jwo-Yuh Wu, “Efficient and Robust Over-the-Air Federated Learning Under Byzantine Attacks,” submitted to IEEE Transactions on Information Theory, 2026.
Liang-Chi Huang, Chung-En Kuo, Ming-Hsun Yang, Chun-Hung Liu, and Jwo-Yuh Wu, “One-bit Compressed Sensing Under Sign Flips: Pursuing Sparsity without Prior Information,” submitted to IEEE Transactions on Information Theory, 2026.
Conference papers/workshop papers and posters
Ming-Hsun Yang and Liang-Chi Huang, “Knowledge-enhanced 1-bit compressive sensing in noisy wireless sensor networks,” IEEE Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), Surrey, UK, July, 2025.
Liang-Chi Huang, Y.-W. Peter Hong, Jwo-Yuh Wu, “Distributed subspace clustering by k-means subspace fusion,” IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Oregon, USA, July 2024.
Jwo-Yuh Wu, Liang-Chi Huang, and Wei-Cheng Kao, “Fast distributed collaborative sparse subspace clustering,” poster presented at the IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, Jun. 2023.
Jwo-Yuh Wu, Liang-Chi Huang, Wen-Hsuan Li, Hau-Hsiang Chan, Chun-Hung Liu, and Rung-Hung Gau, “Sparse subspace clustering with linear subspace neighborhood preserving data embedding,” IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, 2020.
Jwo-Yuh Wu, Wen-Hsuan Li, Liang-Chi Huang, Yen-Ping Lin, Chun-Hung Liu, and Rung-Hung Gau, “Deterministic coherence-based performance guarantees for noisy sparse subspace clustering using greedy neighbor selection,” IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, 2020.
Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, Ling-Hua Chang, and Chun-Hung Liu, “Sparse subspace clustering with sequentially ordered and weighted L1-Minimization,” IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019.
Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, Ling-Hua Chang, and Chun-Hung Liu, “Enhanced noisy sparse subspace clustering via reweighted L1-minimization,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, Sept. 2018.