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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  • Internships with Ye

    • SP1537: Machine Learning for Wireless Communications

      MERL is seeking an intern to work on machine learning for wireless communication systems. The ideal candidate would be an experienced PhD student or post-graduate researcher working in wireless communications with a focus on machine learning methods. The candidate should have a detailed knowledge of wireless communications, with some experience in machine learning, MIMO, and/or channel equalization preferred. Strong programming skills in Python and machine learning frameworks are essential. The expected duration of the internship is 3-6 months with flexible start date and length. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

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  • MERL Publications

    •  Wang, Y., Aeron, S., Rakin, A.S., Koike-Akino, T., Moulin, P., "Robust Machine Learning via Privacy/Rate-Distortion Theory", IEEE International Symposium on Information Theory (ISIT), July 2021.
      BibTeX TR2021-082 PDF Video Presentation
      • @inproceedings{Wang2021jul,
      • author = {Wang, Ye and Aeron, Shuchin and Rakin, Adnan S and Koike-Akino, Toshiaki and Moulin, Pierre},
      • title = {Robust Machine Learning via Privacy/Rate-Distortion Theory},
      • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
      • year = 2021,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2021-082}
      • }
    •  Koike-Akino, T., Wang, Y., "Protograph-Based Design for QC Polar Codes", IEEE International Symposium on Information Theory (ISIT), July 2021.
      BibTeX TR2021-080 PDF Video Presentation
      • @inproceedings{Koike-Akino2021jul,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Protograph-Based Design for QC Polar Codes},
      • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
      • year = 2021,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2021-080}
      • }
    •  Demir, A., Koike-Akino, T., Wang, Y., Haruna, M., Erdogmus, D., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", arXiv, June 2021.
      BibTeX arXiv
      • @article{Demir2021jun,
      • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Haruna, Masaki and Erdogmus, Deniz},
      • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
      • journal = {arXiv},
      • year = 2021,
      • month = jun,
      • url = {https://arxiv.org/abs/2106.09135}
      • }
    •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Jha, D., Parsons, K., Qi, M., "Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning", Conference on Lasers and Electro-Optics (CLEO), May 2021.
      BibTeX TR2021-045 PDF Presentation
      • @inproceedings{Tang2021may3,
      • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh and Parsons, Kieran and Qi, Minghao},
      • title = {Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning},
      • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
      • year = 2021,
      • month = may,
      • url = {https://www.merl.com/publications/TR2021-045}
      • }
    •  Han, M., Ozdenizci, O., Koike-Akino, T., Wang, Y., Erdogmus, D., "Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders", IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/​JBHI.2021.3062335, April 2021.
      BibTeX TR2021-027 PDF
      • @article{Han2021apr,
      • author = {Han, Mo and Ozdenizci, Ozan and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
      • title = {Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders},
      • journal = {IEEE Journal of Biomedical and Health Informatics},
      • year = 2021,
      • month = apr,
      • doi = {10.1109/JBHI.2021.3062335},
      • url = {https://www.merl.com/publications/TR2021-027}
      • }
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  • Software Downloads

  • Videos

  • MERL Issued Patents

    • 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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