NCKUEE Faculty Data
Chinese Version
Assistant Professor Ming-Hsun Yang
Address
EE Building 9F R92911
Email
TEL
+886-6-2757575 ext.62367
Lab
Intelligent Sensing and Learning Lab
(R92923/ext.62400-1687)
Background
Educations
2018
Ph.D. in Communications Engineering, National Chiao-Tung University, Taiwan
Experiences
2022/02–2025/07
Assistant Professor, Department of Communication Engineering, National Central University
2018/08–2021/12
Postdoctoral Researcher, Institute of Communications Engineering, National Yang Ming Chiao Tung University
Specialities
  • Compressed Sensing; Distributed Learning; Low-Bit-Resolution Signal Processing; Integrated Sensing and Communications; Wireless Sensor Networks
Publication
Journal
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  1. Meng-Lin Ku, Ming-Hsun Yang, Yan-Zhou Song and Tony Q. S. Quek, "Leveraging Autoencoder for Joint Pilot Waveforming and Compressive Sensing in Beamspace Channel Estimation for LEO Satellite Communications," accepted by IEEE Internet of Things Journal, 2026.
  2. 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.
  3. Ming-Hsun Yang, “Robust distributed phase retrieval for multi-view compressive networked sensing with outliers,” IEEE Wireless Communications Letters, 2025, accepted.
  4. Ming-Hsun Yang, Y.-W. Peter Hong, and Jwo-Yuh Wu, “Sparse affine sampling: Ambiguity-free and efficient sparse phase retrieval,” IEEE Transactions on Information Theory, vol. 68, no. 11, pp. 7604-7626, Nov. 2022.
  5. Ming-Hsun Yang, Jwo-Yuh Wu, Tsang-Yi Wang, Robert G. Maunder, and Rung-Hung Gau, “Fusion-based cooperative support identification for compressive networked sensing,” IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 157-161, Feb. 2020.
  6. 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.
  7. Jwo-Yuh Wu, Ming-Hsun Yang, and Tsang-Yi Wang, “Energy-efficient sensor censoring for compressive distributed sparse signal recovery,” IEEE Transactions on Communications, vol. 66, no. 5, pp. 2137-2152, May 2018.
  8. Tsang-Yi Wang, Ming-Hsun Yang, and Jwo-Yuh Wu, “Distributed detection of dynamic event regions in sensor networks with a Gibbs field distribution and Gaussian corrupted measurements,” IEEE Transactions on Communications, vol. 64, no. 9, pp. 3932-3945, Sept. 2016.
Conference
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  1. 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 (SPAWC2025), 2025, Surrey, UK.
  2. Ming-Hsun Yang, Y.-W. Peter Hong, and Jwo-Yuh Wu, ‘‘Ambiguity-free and efficient sparse phase retrieval from affine measurements under outlier corruption,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP2021), 2021, Gold Coast, Australia.
  3. Ming-Hsun Yang, Gin-Hao Liu, and Y.-W. Peter Hong, ‘‘Federated truth inference over distributed crowdsourcing platforms,” IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP2020), 2020, Barcelona, Spain.
  4. Ming-Hsun Yang, Y.-W. Peter Hong, Tsang-Yi Wang, and Jwo-Yuh Wu, ‘‘Malicious crowdsourcing worker detection using privacy-aware group queries,” IEEE International Conference on Communications (ICC2019), 2019, Shanghai, China.
  5. 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 (ICIP2019), 2019, Taipei, Taiwan.
  6. Yi-Jen Yang, Ming-Hsun Yang, Y.-W. Peter Hong, and Jwo-Yuh Wu, ‘‘Collaborative sensor caching via sequential compressed sensing,” IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP2019), 2019, Brighton, UK.
  7. Jwo-Yuh Wu, Liang-Chi Huang, Ming-Hsun Yang, Ling-Hua Chang, and Chun-Hung Liu, “Enhanced noisy sparse subspace clustering via reweighted L-1 minimization,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP2018), 2018, Aalborg, Denmark.
  8. Jwo-Yuh Wu, Ming-Hsun Yang, and Tsang-Yi Wang, “A Neyman-Pearson type sensor censoring scheme for compressive distributed sparse signal recovery,” The Tenth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM2018), 2018, Sheffield, UK.
  9. Chun-Yi Chang, Jwo-Yuh Wu, Ming-Hsun Yang, Tsang-Yi Wang, Shuai Shao, and Robert G. Maunder, “Low-latency compressive active user identification over frequency-selective fading channels,” IEEE Wireless Communications and Networking Conference (WCNC2018), 2018, Barcelona, Spain.
  10. Tsang-Yi Wang, Ming-Hsun Yang, and Jwo-Yuh Wu, “A space-time fusion scheme for dynamic-event region detection in sensor networks,” IEEE 84th Vehicular Technology Conference (VTC2016-Fall), 2016, Montreal, Canada.
  11. Tsang-Yi Wang, Ming-Hsun Yang and Jwo-Yuh Wu, “A sliding window approach for dynamic event-region detection in sensor networks,” 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE 2014), pp. 2025-2028, April 26–28, 2014, Sapporo, Japan.
Patent
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Others
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Projects
  1. NSTC, Sparsity-Driven Low-Bit-Resolution Processing for Next-Generation Sensor Networks (PI), 2025.08~2027/07, NSTC 114-2221-E-006-211-MY2
  2. NSTC, Distributed Multi-View Compressive Learning for Next-Generation Multi-Sensor IoT Networks (PI), 2024.08~2025/07, NSTC 113-2221-E-008-069
  3. NSTC, Distributed Edge Learning for Compressive Phase Retrieval over Heterogeneous Networks (PI), 2023.08~2024/07, NSTC 112-2221-E-008-057
  4. NSTC, Ambiguity-Free Sparsity-Aware Phase Retrieval: Algorithms and Performance Analysis (PI), 2022.07~2023/07, NSTC 111-2222-E-008-003
Classes
2025 Fall
2026 Spring
2026 Fall
Students
Current Academic Year Lab Members
Honors
  1. 2024 IEEE Information Theory Society Taipei Chapter and IEEE Communications Society Taipei/Tainan Chapters Best Paper Award for Young Scholars
  2. 2018 Taiwan Institute of Electrical and Electronic Engineering (TIEEE) Oustanding Ph.D. Dissertation Award
NCKU EE