Publications

代表性论文

期刊 (Journal)

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• J. Cao, S. Liu, H. Q. Liu, and K. Zhang, MRI reconstruction based on Bayesian group sparse representation, Signal Processing, vol. 187, Oct. 2021.

• 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.

• D. Li, Q. Liang, H. Q. Liu, Q. Liu, H. Liu, and G. 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.

• 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.

• 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.

• L. Wan, H. Q. Liu, L. Shi, Y. Zhou, and L. Gan, Cross Domain Optimization for Speech Enhancement: Parallel or Cascade?, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 32, pp. 4328-4341, 2024.

• J. Yang, H. Q. Liu, L. Gan, X. Jing, Spectral network based on lattice convolution and adversarial training for noise-robust speech super-resolution, The Journal of the Acoustical Society of America, accepted.

会议 (Conference)

• Z. Luo and H. Q. Liu, Robust Hybrid Transceiver Designs for Millimeter Wave AF Cooperative Systems, VTC-fall, Honolulu, USA, Sept. 2019.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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

• 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.

• Z. Deng, Y. Zhou, H. Q. Liu, Time-frequency Domain Filter-and-sum Network for Multi-channel Speech Separation, INTERSPEECH, Dublin, Ireland, Aug., 2023.

• 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.

• 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.

• 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.

• 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.

获奖 (Awards)

• 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.

• Global Top 10, Beamforming Videos Contest, ICASSP, Spain, 2020.

• 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.

• 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.

• L3DAS22: Machine Learning for 3D Audio Signal Processing - 3D Sound Event Localization and Detection, Second place, ICASSP, Singapore, 2022.

• Robust Anomaly Sound Detection Framework for Machine Condition Monitoring, DCASE (声事件检测全球比赛) Task 2, 全球第一名, 2022.

• 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.

• 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.

• Attention mechanism network and data augmentation for sound event localization and detection, DCASE Task 3.A, 全球第二名, 2023.

• 第三届成渝地区双城经济圈留学生创新创业大赛，二等奖，重庆市教育委员会，四川省教育厅， 2023.

• 第三届成渝地区双城经济圈留学生创新创业大赛， 优秀指导教师，重庆市教育委员会，四川省教育厅， 2023.

• Power cue enhanced network and audio-visual fusion for sound event localization and detection of DCASE2024 Challenge, DCASE Task 3.A&B, 全球第四名, 2024.

• 乘用车座舱声景设计与智能控制关键技术，中国汽车工程学会科学技术奖，科学技术进步奖，二等奖，2024.