Zhongqiu Wang

Zhongqiu Wang
  • Email: zwang[at]merl[dot]com
  • Recent News & Events

    •  NEWS   Zhong-Qiu Wang joins MERL's Speech and Audio Team
      Date: June 22, 2020
      MERL Contact: Zhongqiu Wang
      Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
      Brief
      • We are excited to announce that Dr. Zhong-Qiu Wang, who recently obtained his Ph.D. from The Ohio State University, has joined MERL's Speech and Audio Team as a Visiting Research Scientist. Zhong-Qiu brings strong expertise in microphone array processing, speech enhancement, blind source/speaker separation, and robust automatic speech recognition, for which he has developed some of the most advanced machine learning and deep learning methods.

        Prior to joining MERL, Zhong-Qiu received the B.Eng. degree in 2013 from Harbin Institute of Technology, Harbin, China, and the M.Sc. and Ph.D. degree in 2017 and 2020 from The Ohio State University, Columbus, USA, all in Computer Science. He was a summer research intern at Microsoft Research, Mitsubishi Electric Research Laboratories, and Google AI. He received a Best Student Paper Award at ICASSP 2018 for his work as an intern at MERL, and a Graduate Research Award from OSU Department of Computer Science and Engineering in 2020.
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  • MERL Publications

    •  Wang, Z.-Q., Le Roux, J., Wang, D., Hershey, J., "End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction", Interspeech, September 2018.
      BibTeX TR2018-135 PDF
      • @inproceedings{Wang2018sep,
      • author = {Wang, Zhong-Qiu and Le Roux, Jonathan and Wang, DeLiang and Hershey, John},
      • title = {End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction},
      • booktitle = {Interspeech},
      • year = 2018,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2018-135}
      • }
    •  Wang, Z.-Q., Le Roux, J., Hershey, J.R., "Alternative Objective Functions for Deep Clustering", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2018.8462507, April 2018, pp. 686-690.
      BibTeX TR2018-005 PDF
      • @inproceedings{Wang2018apr,
      • author = {Wang, Zhong-Qiu and Le Roux, Jonathan and Hershey, John R.},
      • title = {Alternative Objective Functions for Deep Clustering},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2018,
      • pages = {686--690},
      • month = apr,
      • doi = {10.1109/ICASSP.2018.8462507},
      • url = {https://www.merl.com/publications/TR2018-005}
      • }
    •  Wang, Z.-Q., Le Roux, J., Hershey, J.R., "Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP.2018.8461639, April 2018, pp. 1-5.
      BibTeX TR2018-007 PDF
      • @inproceedings{Wang2018apr2,
      • author = {Wang, Zhong-Qiu and Le Roux, Jonathan and Hershey, John R.},
      • title = {Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2018,
      • pages = {1--5},
      • month = apr,
      • doi = {10.1109/ICASSP.2018.8461639},
      • url = {https://www.merl.com/publications/TR2018-007}
      • }
  • MERL Issued Patents

    • Title: "Methods and Systems for End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction"
      Inventors: Le Roux, Jonathan; Hershey, John R.; Wang, Zhongqiu; Wichern, Gordon P
      Patent No.: 10,529,349
      Issue Date: Jan 7, 2020
    See All Patents for MERL