Ye Wang

  • Biography

    Ye was a member of the Information Systems and Sciences Laboratory at Boston University, where he studied information-theoretically secure multiparty computation. His current research interests include information security, biometric authentication, and data privacy.

  • Recent News & Events


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  • Awards

    •  AWARD    MERL Ranked 1st Place in Cross-Subject Transfer Learning Task and 4th Place Overall at the NeurIPS2021 BEETL Competition for EEG Transfer Learning.
      Date: November 11, 2021
      Awarded to: Niklas Smedemark-Margulies, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
      MERL Contacts: Toshiaki Koike-Akino; Ye Wang
      Research Areas: Artificial Intelligence, Signal Processing, Human-Computer Interaction
      Brief
      • The MERL Signal Processing group achieved first place in the cross-subject transfer learning task and fourth place overall in the NeurIPS 2021 BEETL AI Challenge for EEG Transfer Learning. The team included Niklas Smedemark-Margulies (intern from Northeastern University), Toshiaki Koike-Akino, Ye Wang, and Prof. Deniz Erdogmus (Northeastern University). The challenge addresses two types of transfer learning tasks for EEG Biosignals: a homogeneous transfer learning task for cross-subject domain adaptation; and a heterogeneous transfer learning task for cross-data domain adaptation. There were 110+ registered teams in this competition, MERL ranked 1st in the homogeneous transfer learning task, 7th place in the heterogeneous transfer learning task, and 4th place for the combined overall score. For the homogeneous transfer learning task, MERL developed a new pre-shot learning framework based on feature disentanglement techniques for robustness against inter-subject variation to enable calibration-free brain-computer interfaces (BCI). MERL is invited to present our pre-shot learning technique at the NeurIPS 2021 workshop.
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  • Research Highlights

  • MERL Publications

    •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), May 2022.
      BibTeX TR2022-052 PDF Video Presentation
      • @inproceedings{Liu2022may3,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-052}
      • }
    •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Learning to Learn Quantum Turbo Detection", arXiv, May 2022.
      BibTeX arXiv
      • @article{Liu2022may,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Learning to Learn Quantum Turbo Detection},
      • journal = {arXiv},
      • year = 2022,
      • month = may,
      • url = {https://arxiv.org/abs/2205.08611}
      • }
    •  Koike-Akino, T., Wang, P., Wang, Y., "AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications", arXiv, May 2022.
      BibTeX arXiv
      • @article{Koike-Akino2022may4,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
      • title = {AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications},
      • journal = {arXiv},
      • year = 2022,
      • month = may,
      • url = {https://arxiv.org/abs/2205.09115}
      • }
    •  Koike-Akino, T., Pu, W., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), May 2022.
      BibTeX TR2022-044 PDF Video Presentation
      • @inproceedings{Koike-Akino2022may2,
      • author = {Koike-Akino, Toshiaki and Pu, Wang and Wang, Ye},
      • title = {Quantum Transfer Learning for Wi-Fi Sensing},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-044}
      • }
    •  Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M.E., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), May 2022.
      BibTeX TR2022-047 PDF Video Presentation
      • @inproceedings{Jung2022may,
      • author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew E.},
      • title = {Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices},
      • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-047}
      • }
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  • Software Downloads

  • Videos

  • MERL Issued Patents

    • Title: "Battery Diagnostic System for Estimating Remaining useful Life (RUL) of a Battery"
      Inventors: Pajovic, Milutin; Wang, Ye; Gorrachategui, Ivan Sanz
      Patent No.: 11,346,891
      Issue Date: May 31, 2022
    • Title: "Generative Model for Inverse Design of Materials, Devices, and Structures"
      Inventors: Kojima, Keisuke; Tang, Yingheng; Koike-Akino, Toshiaki; Wang, Ye
      Patent No.: 11,251,896
      Issue Date: Feb 15, 2022
    • Title: "DATA-DRIVEN PRIVACY-PRESERVING COMMUNICATION"
      Inventors: Wang, Ye; Ishwar, Prakash; Tripathy, Ardhendu S
      Patent No.: 11,132,453
      Issue Date: Sep 28, 2021
    • Title: "Irregular Polar Code Encoding"
      Inventors: Koike-Akino, Toshiaki; Wang, Ye; Draper, Stark C.
      Patent No.: 10,862,621
      Issue Date: Dec 8, 2020
    • Title: "Method and Systems using Privacy-Preserving Analytics for Aggregate Data"
      Inventors: Wang, Ye; Raval, Nisarg Jagdishbhai; Ishwar, Prakash
      Patent No.: 10,452,865
      Issue Date: Oct 22, 2019
    • Title: "Irregular Polar Code Encoding"
      Inventors: Koike-Akino, Toshiaki; Wang, Ye; Draper, Stark C.
      Patent No.: 10,313,056
      Issue Date: Jun 4, 2019
    • Title: "Soft-Output Decoding of Codewords Encoded with Polar Code"
      Inventors: Wang, Ye; Koike-Akino, Toshiaki; Draper, Stark C.
      Patent No.: 10,312,946
      Issue Date: Jun 4, 2019
    • Title: "Method and Systems using Privacy-Preserving Analytics for Aggregate Data"
      Inventors: Wang, Ye; Hattori, Mitsuhiro; Hirano, Takato; Shimizu, Rina; Matsuda, Nori
      Patent No.: 10,216,959
      Issue Date: Feb 26, 2019
    • Title: "Privacy Preserving Statistical Analysis on Distributed Databases"
      Inventors: Wang, Ye; Lin, Bing-Rong; Rane, Shantanu D.
      Patent No.: 10,146,958
      Issue Date: Dec 4, 2018
    • Title: "Method and System for Determining Hidden States of a Machine using Privacy-Preserving Distributed Data Analytics and a Semi-trusted Server and a Third-Party"
      Inventors: Wang, Ye
      Patent No.: 9,471,810
      Issue Date: Oct 18, 2016
    • Title: "Method for Determining Hidden States of Systems using Privacy-Preserving Distributed Data Analytics"
      Inventors: Wang, Ye; Rane, Shantanu D.; Xie, Qian
      Patent No.: 9,246,978
      Issue Date: Jan 26, 2016
    • Title: "Privacy Preserving Statistical Analysis for Distributed Databases"
      Inventors: Rane, Shantanu D.; Lin, Bing-Rong; Wang, Ye
      Patent No.: 8,893,292
      Issue Date: Nov 18, 2014
    • Title: "Secure Multi-Party Computation of Normalized Sum-Type Functions"
      Inventors: Rane, Shantanu D.; Sun, Wei; Wang, Ye
      Patent No.: 8,473,537
      Issue Date: Jun 25, 2013
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