刘宏清
Hongqing Liu

Phone: 15102354997 

Email: hongqingliu<at>outlook.com/hongqingliu<at>cqupt.edu.cn

简介

ABOUT ME

刘宏清于2009年博士毕业香港城市大学,电子工程系。2009到2013年,在新加坡国立大学,水下声学实验室,任研究员。2013年加入重庆邮电大学,通信学院,任教授,博导。刘宏清教授长期从事通信、信号处理、语音等多学科的研发工作。在IEEE Trans. Goescience and Remote Sensing, IEEE Trans. Image Processing, IEEE Trans. Signal Processing, IEEE Trans. Communications, IEEE Trans. Information Theory, IEEE Signal Processing Letters 等国际高水平SCI期刊和IEEE ICASSP, INTERSPEECH等国际著名会议上发表了被SCI/EI 检索的学术论文200余篇,近三年申请PCT 国际专利1 项、国家发明专利4 项。于2009年获得陕西省高等学校科学技术奖一等奖(No. 06C8) 和陕西省科技进步奖二等奖 (No. 06-2-010-R9)。于2016年获得IEEE DSP会议best paper award,获得SP,DSP等多个期刊的outstanding reviewer, IEEE高级会员。刘宏清现阶段主要从事统计信号处理方面的研究工作,着重研究语音信号处理。

Teaching

1. Undergraduate Courses:

  • Signals and Systems (both in Chinese and English)
  • Digital Signal Processing (English)

2. Graduate Course:

  • Modern Signal Processing (both in Chinese and English)

3. International Graduate Course:

  • Fundamentals of Signal Processing (English)

Journals (selected)

1. T.-C. Lin, L. Hou, H.Q.Liu, Y. Li, and Trieu-Kien Truong, Reconstruction of single image from multiple blurry measured images, IEEE Trans. Image Processing, vol. 27, iss. 6, pp. 2762-2776, Jun. 2018.
2. H.Q.Liu, D. Li, Y. Zhou, and Trieu-Kien Truong, Simultaneous Radio Frequency and Wideband Interference Suppression in SAR Signals via Sparsity Exploitation in Time-Frequency Domain, IEEE Trans. Geoscience and Remote Sensing, vol. 56, iss. 10, pp. 5780-5793, Oct. 2018.
3. H.Q.Liu, C. Huang, L. Gan, Y. Zhou, and Trieu-Kien Truong, Clutter reduction and target tracking in through-the-wall radar, IEEE Trans. Geoscience and Remote Sensing, vol. 58, iss. 1, pp. 486-499, Jan. 2020.
4. Z. Luo, L. Zhao, H.Q.Liu, Y .Li, Robust Hybrid Beamforming in Millimeter Wave Systems With Closed-form Least-square Solutions, IEEE Wireless Communications Letters, vol. 10, iss. 1, pp. 156-160, Jan. 2021.
5. Y. Gong, L. Gan, H.Q.Liu, Multi-Channel Modulo Samplers Constructed from Gaussian Integers, IEEE Signal Processing Letters, vol. 28, pp. 1828-1832, 2021.
6. S. Liu, J. Cao, H.Q.Liu, and K. Zhang, MRI reconstruction based on Bayesian piecewise sparsity constraint and adaptive 3D transform, Knowledge-Based Systems, vol. 232, Nov. 2021.
7. J. Cao, S. Liu, H.Q.Liu, and K. Zhang, MRI reconstruction based on Bayesian group sparse representation, Signal Processing, vol. 187, Oct. 2021.
8. Z. Yang, D. Li, H.Q.Liu, G. Liao, An Efficient ISAR Imaging Approach for Highly Maneuvering Targets Based on Subarray Averaging and Image Entropy, IEEE Trans. Geoscience and Remote Sensing, vol 60, 2021.
9. Dong Li, Quanhuan Liang, H.Q.Liu, Qinghua Liu, Haijun Liu, and Guisheng Liao, A Novel Multi-Dimensional Domain Deep Learning Network for SAR Ship Detection, IEEE Trans. Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022.
10. H.Q.Liu, W. Zhu, Y. Zhou, L. Shi, L. Gan, Nonintrusive wind blade fault detection using deep learning approach by exploring acoustic information, The Journal of the Acoustical Society of America, 153(1):538-547, Jan. 2023.
11. Y.Liu, B. Jiang, H.Q.Liu, Y. Zhao, F. Xiong, and Y. Zhou, A Novel Earprint: Stimulus-Frequency Otoacoustic Emission for Biometric Recognition, IEEE Transactions on Information Forensics & Security, vol. 18, pp. 5484-5494, 2023.

Conferences (selected)

1. Z. Luo and H.Q.Liu, Robust Hybrid Transceiver Designs for Millimeter Wave AF Cooperative Systems, VTC-fall, Honolulu, USA, Sept. 2019.
2. X. Zhang, H.Q.Liu, Z. Luo and Y. Zhou, Joint Image Deblur and Poisson Denoising based on Adaptive Dictionary Learning, IEEE International Workshop on Signal Processing Systems (SiPS), Nanjing, China, Oct. 2019.
3. C. Huang, H.Q.Liu, L. Gan, Z. Luo, and Y. Zhou, Signal waveform design for high resolution target localization in through-the-wall radar, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, Jun., 2020.
4. M. Qi, D. Li, H.Q.Liu, J. Ren, and Q. Gao, A Fast ISAR Imaging Method for Rapidly Spinning Targets Using Pseudo-Polar Coordinate in Range-Doppler Domain, IEEE Radar Conference (IEEE RadarConf20), Florence, Italy, Sept., 2020.
5. S. Li, H.Q.Liu, L. Gan, and Y. Zhou, Underdetermined Blind Source Separation in Reverberant Environment, International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2020.
6. C. Ammatmanee, L. Gan, and H.Q.Liu, Fast binary embedding of deep learning image features using Golay-Hadamard matrices, IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, Jul. 2021.
7. Z. Xiong, H.Q.Liu, Y. Zhou and Z. Luo, Multi-Speaker tracking by fusing audio and video information, IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brazil, Jul. 2021.
8. S. Wang, Y. Zhou, H.Q.Liu, A Robust Blind Source Separation Algorithm Combining Non-negative Matrix Factorization and Frequency-Sliding Generalized Cross-Correlation, IEEE Statistical Signal Processing Workshop (SSP), Rio de Janeiro, Brazil, Jul. 2021.
9. R. Liu, Y. Zhou, H.Q.Liu, X. Xu, J. Jia, and B. Chen, DFBNet: Deep Neural Network based Fixed Beamformer for Multi-channel Speech Separation, IEEE International Workshop on Signal Processing Systems (SiPS), Coimbra, Portugal, Oct. 2021
10. Y. Mao, Y. Zeng, H.Q.Liu, W. Zhu, and Y. Zhou,, Ensemble of ResNet-Conformers with Ambisonics Data Augmentation for Sound Event Localization and Detection in the L3DAS22 Challenge, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May, 2022.
11. Z. Deng, Y. Zhou, H.Q.Liu, Time-frequency Domain Filter-and-sum Network for Multi-channel Speech Separation, INTERSPEECH, Dublin, Ireland, Aug., 2023.
12. C. Shuai, L. Gan, H.Q.Liu, mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra, INTERSPEECH, Dublin, Ireland, Aug., 2023.
13. W. Yan, L. Gan, S. Hu, and H.Q.Liu, TOWARDS OPTIMIZED MULTI-CHANNEL MODULO-ADCS: MODULI SELECTION STRATEGIES AND BIT DEPTH ANALYSIS, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul Korea, Apr., 2024.
14. K. Huang, C. Shi, L. Gan, and H.Q.Liu, Understanding Gaussian Noise Mismatch: A Hellinger Distance Approach, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul Korea, Apr., 2024.
15. C. Shi, K. Huang, G. Lu, X. Gao, and H.Q.Liu, On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection, International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024.

Awards

1. National Silver Medal, The intelligent wheelchair based on GIS and MIC array speech recognition, The 5th China College Students 'Internet Plus' Innovation and Entrepreneurship Competition, 2019.
2. Global Top 10, Beamforming Videos Contest, ICASSP, Spain, 2020.
3. National Bronze Medal, "Timbre" - 一款基于计算机听觉技术的智能安全监测机器人, The 7th China College Students 'Internet Plus' Innovation and Entrepreneurship Competition, 2021.
4. National Silver Medal, Windblade listener - an intelligent approach for wind turbine blade monitoring using sound, The 7th China College Students 'Internet Plus' Innovation and Entrepreneurship Competition, 2021.
5. L3DAS22: Machine Learning for 3D Audio Signal Processing - 3D Sound Event Localization and Detection, Second place, ICASSP, Singapore, 2022.
6. Robust Anomaly Sound Detection Framework for Machine Condition Monitoring, DCASE Task 2, First place, 2022.
7. 踏“铁”寻声--高铁底盘稳定速检供应商,第八届中国国际互联网+大学生创新创业大赛,重庆市金奖,2022。
8. 第八届中国国际互联网+大学生创新创业大赛,优秀创新创业导师,重庆市教育委员会,2022。

'Education is the passport to the future, for tomorrow belongs to those who prepare for it today.'

Hongqing Liu