國立成功大學電機工程學系 教師個人頁面
English Version
楊明勳 助理教授
地址
電機系館9樓92911室
Email
TEL
06-2757575 ext.62367
實驗室
智慧感測與學習實驗室
(R92912/ext.62400-1687)
學經歷
學歷
2018
國立交通大學電信工程博士
經歷
2022/02–2025/07
國立中央大學通訊工程學系助理教授
2018/08–2021/12
國立陽明交通大學電信工程研究所博士後研究員
研究領域
  • 壓縮感知,分散式學習,低位元解析度信號處理,整合式感測與通訊,無線感測網路
著作
期刊論文( 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.
會議論文( 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.
專利
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其他
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研究計劃
  1. 國科會, 稀疏驅動的低位元解析度處理於下世代感測網路之應用 (主持人), 2025.08~2027/07, NSTC 114-2221-E-006-211-MY2
  2. 國科會, 下世代多重感測物聯網之分散式多視角壓縮學習技術開發 (主持人), 2024.08~2025/07, NSTC 113-2221-E-008-069
  3. 國科會, 異質性網路下分散式邊緣學習應用於壓縮相位回復之研究 (主持人), 2023.08~2024/07, NSTC 112-2221-E-008-057
  4. 國科會, 基於稀疏特性的無相角未定性相位回復之研究:演算法及效能分析 (主持人), 2022.07~2023/07, NSTC 111-2222-E-008-003
開授課程
114學年度上學期
指導學生
本學年度 實驗室成員
碩士班
廖鈺馨
全亭安
洪侑陞
楊博崴
林昱寬
特殊榮譽
  1. 2024 IEEE ITSOC暨COMSOC台北/台南支會年輕學者最佳論文獎
  2. 2018 台灣電機電子工程學會第八屆最佳博士論文獎佳作