Yanting Ma

Yanting Ma
  • Biography

    Yanting's research interests are mainly in algorithm design and analysis for inverse problems arising in computational sensing using statistical inference and optimization techniques. Additionally, she is generally interested in applied probability and convex analysis. Her PhD research focused on algorithmic and theoretical studies of approximate message passing, as well as provably convergent optimization algorithms for nonlinear diffractive imaging. Her postdoctoral work developed principled methods for dead time compensation for single-photon detectors based on Markov chain modeling.

  • Recent News & Events

    •  EVENT    MERL Contributes to ICASSP 2023
      Date: Sunday, June 4, 2023 - Saturday, June 10, 2023
      Location: Rhodes Island, Greece
      MERL Contacts: Petros T. Boufounos; François Germain; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Suhas Lohit; Yanting Ma; Hassan Mansour; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
      Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing, Speech & Audio
      Brief
      • MERL has made numerous contributions to both the organization and technical program of ICASSP 2023, which is being held in Rhodes Island, Greece from June 4-10, 2023.

        Organization

        Petros Boufounos is serving as General Co-Chair of the conference this year, where he has been involved in all aspects of conference planning and execution.

        Perry Wang is the organizer of a special session on Radar-Assisted Perception (RAP), which will be held on Wednesday, June 7. The session will feature talks on signal processing and deep learning for radar perception, pose estimation, and mutual interference mitigation with speakers from both academia (Carnegie Mellon University, Virginia Tech, University of Illinois Urbana-Champaign) and industry (Mitsubishi Electric, Bosch, Waveye).

        Anthony Vetro is the co-organizer of the Workshop on Signal Processing for Autonomous Systems (SPAS), which will be held on Monday, June 5, and feature invited talks from leaders in both academia and industry on timely topics related to autonomous systems.

        Sponsorship

        MERL is proud to be a Silver Patron of the conference and will participate in the student job fair on Thursday, June 8. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns.

        MERL is pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Rabab Ward, the recipient of the 2023 IEEE Fourier Award for Signal Processing, and Prof. Alexander Waibel, the recipient of the 2023 IEEE James L. Flanagan Speech and Audio Processing Award.

        Technical Program

        MERL is presenting 13 papers in the main conference on a wide range of topics including source separation and speech enhancement, radar imaging, depth estimation, motor fault detection, time series recovery, and point clouds. One workshop paper has also been accepted for presentation on self-supervised music source separation.

        Perry Wang has been invited to give a keynote talk on Wi-Fi sensing and related standards activities at the Workshop on Integrated Sensing and Communications (ISAC), which will be held on Sunday, June 4.

        Additionally, Anthony Vetro will present a Perspective Talk on Physics-Grounded Machine Learning, which is scheduled for Thursday, June 8.

        About ICASSP

        ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
    •  
    •  NEWS    MERL's Yanting Ma completed the 2022 Boston Marathon
      Date: April 18, 2022
      Where: Boston, MA
      MERL Contact: Yanting Ma
      Brief
      • Researcher, Yanting Ma, qualified for and completed the Boston Marathon on Monday April 18th. We would like to congratulate her on achieving this personal goal in an impressive time of 3:18.48!!
    •  

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  • MERL Publications

    •  Ma, Y., Rapp, J., Boufounos, P.T., Mansour, H., "A model of spatial resolution uncertainty for Compton camera imaging", International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), DOI: 10.1051/​epjconf/​202328810002, January 2024, pp. 10002.
      BibTeX TR2024-005 PDF
      • @inproceedings{Ma2024jan,
      • author = {Ma, Yanting and Rapp, Joshua and Boufounos, Petros T. and Mansour, Hassan},
      • title = {A model of spatial resolution uncertainty for Compton camera imaging},
      • booktitle = {Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA)},
      • year = 2024,
      • pages = 10002,
      • month = jan,
      • publisher = {EPJ Web of Conferences, 288},
      • doi = {10.1051/epjconf/202328810002},
      • url = {https://www.merl.com/publications/TR2024-005}
      • }
    •  Lin, C., Ma, Y., Sels, D., "Asymptotic behavior of continuous weak measurement and its application to real-time parameter estimation", arXiv, November 2023.
      BibTeX arXiv
      • @article{Lin2023nov,
      • author = {Lin, Chungwei and Ma, Yanting and Sels, Dries},
      • title = {Asymptotic behavior of continuous weak measurement and its application to real-time parameter estimation},
      • journal = {arXiv},
      • year = 2023,
      • month = nov,
      • url = {https://arxiv.org/abs/2311.02066}
      • }
    •  Berk, A., Ma, Y., Boufounos, P.T., Wang, P., Mansour, H., "Deep Proximal Gradient Method for Learned Convex Regularizers", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10094632, May 2023, pp. 1-5.
      BibTeX TR2023-032 PDF Video
      • @inproceedings{Berk2023may,
      • author = {Berk, Aaron and Ma, Yanting and Boufounos, Petros T. and Wang, Pu and Mansour, Hassan},
      • title = {Deep Proximal Gradient Method for Learned Convex Regularizers},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2023,
      • pages = {1--5},
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP49357.2023.10094632},
      • isbn = {978-1-7281-6327-7},
      • url = {https://www.merl.com/publications/TR2023-032}
      • }
    •  Zhao, Q., Ma, Y., Boufounos, P.T., Nabi, S., Mansour, H., "Deep Born Operator Learning for Reflection Tomographic Imaging", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10095494, May 2023, pp. 1-5.
      BibTeX TR2023-029 PDF Video Data
      • @inproceedings{Zhao2023may,
      • author = {Zhao, Qingqing and Ma, Yanting and Boufounos, Petros T. and Nabi, Saleh and Mansour, Hassan},
      • title = {Deep Born Operator Learning for Reflection Tomographic Imaging},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2023,
      • pages = {1--5},
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP49357.2023.10095494},
      • url = {https://www.merl.com/publications/TR2023-029}
      • }
    •  Shimoya, R., Morimoto, T., van Baar, J., Boufounos, P.T., Ma, Y., Mansour, H., "Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), DOI: 10.1109/​AVSS56176.2022.9959354, November 2022, pp. 1-8.
      BibTeX TR2022-149 PDF
      • @inproceedings{Shimoya2022nov,
      • author = {Shimoya, Ryosuke and Morimoto, Tahashi and van Baar, Jeroen and Boufounos, Petros T. and Ma, Yanting and Mansour, Hassan},
      • title = {Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images},
      • booktitle = {IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
      • year = 2022,
      • pages = {1--8},
      • month = nov,
      • doi = {10.1109/AVSS56176.2022.9959354},
      • isbn = {978-1-6654-6382-9},
      • url = {https://www.merl.com/publications/TR2022-149}
      • }
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  • Software & Data Downloads

  • Videos

  • MERL Issued Patents

    • Title: "SYSTEMS AND METHODS FOR IMAGE PROCESSING BASED ON OPTIMAL TRANSPORT AND EPIPOLAR GEOMETRY"
      Inventors: Ma, Yanting; Liu, Dehong; Boufounos, Petros T.; Orlik, Philip V.
      Patent No.: 11,842,504
      Issue Date: Dec 12, 2023
    • Title: "Sensing using Inverse Multiple Scattering with Phaseless Measurements"
      Inventors: Ma, Yanting; Lodhi, Muhammad Asad; Mansour, Hassan; Boufounos, Petros T.; Liu, Dehong
      Patent No.: 11,635,394
      Issue Date: Apr 25, 2023
    • Title: "System and Method for Tracking a Deformation"
      Inventors: Aeron, Shuchin; Ma, Yanting; Boufounos, Petros T.; Mansour, Hassan
      Patent No.: 11,500,086
      Issue Date: Nov 15, 2022
    • Title: "Systems and Methods for Blind Multi-Spectral Image Fusion"
      Inventors: Liu, Dehong; Yu, Lantao; Ma, Yanting; Mansour, Hassan; Boufounos, Petros T.
      Patent No.: 11,481,876
      Issue Date: Oct 25, 2022
    • Title: "Systems and Methods of Fusing Multi-angle View HD Images Based on Epipolar Geometry and Matrix Completion"
      Inventors: Liu, Dehong; Ma, Yanting; Mansour, Hassan; Kamilov, Ulugbek; Taguchi, Yuichi; Boufounos, Petros T.; Vetro, Anthony
      Patent No.: 10,212,410
      Issue Date: Feb 19, 2019
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