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
(R92912/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. 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.
  2. Ming-Hsun Yang, “Robust distributed phase retrieval for multi-view compressive networked sensing with outliers,” IEEE Wireless Communications Letters, 2025, accepted.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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
2021 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