Ye Wang

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

    •  NEWS   MERL Scientists Presented 5 Papers Including 2 Invited Talks at Optical Fiber Communications Conference (OFC) 2020
      Date: March 8, 2020 - March 13, 2020
      MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; David Millar; Kieran Parsons; Ye Wang
      Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing
      Brief
      • Due to COVID-19, MERL Optical Team scientists remotely presented 5 papers including 2 invited talks at the Optical Fiber Communications Conference (OFC) 2020, that was held in San Diego from March 8-13, 2020. Topics presented include recent advances in quantum signal processing, channel coding design, nano-optic power splitter, and deep learning-based integrated photonics. In addition, Dr. Kojima gave an invited workshop talk on deep learning-based nano-photonic device optimization.

        OFC is the largest global conference and exhibition for optical communications and networking professionals. The program is comprehensive from research to marketplace, from components to systems and networks and from technical sessions to the exhibition. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move the industry forward. The five-day technical conference features peer reviewed presentations and more than 180 invited speakers, the thought leaders in the industry presenting the highlights of emerging technologies. Additional technical programming throughout the week includes special symposia, special sessions, in-depth tutorials, workshops, panels and the thought-provoking rump session.
    •  
    •  NEWS   MERL Scientists Presenting 5 Papers including 2 Invited Talks at European Conference on Optical Communication (ECOC) 2019
      Date: September 22, 2019 - September 26, 2019
      MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; David Millar; Kieran Parsons; Ye Wang
      Research Areas: Artificial Intelligence, Communications, Electronic and Photonic Devices, Optimization, Signal Processing
      Brief
      • MERL Optical Team scientists will be presenting 5 papers including 2 invited talks at the 45th European Conference on Optical Communication (ECOC) 2019, which is being held in Dublin from September 22-26, 2019. Topics to be presented include recent advances in sophisticated constellation shaping schemes, lattice coding, and deep learning-based turbo equalization to mitigate fiber nonlinearity. Dr. Kojima is giving an invited workshop talk on deep learning-based nano-photonic device optimization. Dr. Tobias Fehenberger, a former Visiting Scientist is giving an invited talk related to our joint paper "Mapping Strategies for Short-Length Probabilistic Shaping"

        ECOC is the largest optical communications event in Europe and a key meeting place for more than 1,500 scientists and researchers from institutions and companies across the world. The conference features more than 400 oral and poster presentations from various major telecoms industries and universities. As well as being one of the largest scientific conferences globally, ECOC also features Europe’s largest optical communications exhibition.
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  • MERL Publications

    •  Koike-Akino, T., Wang, Y., "Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction", arXiv, May 2020.
      BibTeX arXiv
      • @article{Koike-Akino2020may,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction},
      • journal = {arXiv},
      • year = 2020,
      • month = may,
      • url = {http://arxiv.org/abs/2005.02870v1}
      • }
    •  Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Learning Invariant Representations from EEG via Adversarial Inference", IEEE Access, DOI: 10.1109/ACCESS.2020.2971600, Vol. 8, pp. 27074-27085, April 2020.
      BibTeX TR2020-049 PDF
      • @article{Ozdenizci2020apr,
      • author = {Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {Learning Invariant Representations from EEG via Adversarial Inference},
      • journal = {IEEE Access},
      • year = 2020,
      • volume = 8,
      • pages = {27074--27085},
      • month = apr,
      • doi = {10.1109/ACCESS.2020.2971600},
      • issn = {2169-3536},
      • url = {https://www.merl.com/publications/TR2020-049}
      • }
    •  Han, M., Ozdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D., "Disentangled Adversarial Transfer Learning for Physiological Biosignals", arXiv, April 2020.
      BibTeX arXiv
      • @article{Han2020apr,
      • author = {Han, Mo and Ozdenizci, Ozan and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {Disentangled Adversarial Transfer Learning for Physiological Biosignals},
      • journal = {arXiv},
      • year = 2020,
      • month = apr,
      • url = {http://arxiv.org/abs/2004.08289}
      • }
    •  Kumar, A., Marks, T., Mou, W., Wang, Y., Cherian, A., Jones, M.J., Liu, X., Koike-Akino, T., Feng, C., "LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood", arXiv, April 2020.
      BibTeX arXiv
      • @article{Kumar2020apr,
      • author = {Kumar, Abhinav and Marks, Tim and Mou, Wenxuan and Wang, Ye and Cherian, Anoop and Jones, Michael J. and Liu, Xiaoming and Koike-Akino, Toshiaki and Feng, Chen},
      • title = {LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood},
      • journal = {arXiv},
      • year = 2020,
      • month = apr,
      • url = {https://arxiv.org/abs/2004.02980}
      • }
    •  Koike-Akino, T., Wang, Y., Millar, D.S., Kojima, K., Parsons, K., "Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation", Journal of Lightwave Technology, DOI: 10.1109/JLT.2020.2976479, March 2020.
      BibTeX TR2020-033 PDF
      • @article{Koike-Akino2020mar3,
      • author = {Koike-Akino, Toshiaki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation},
      • journal = {Journal of Lightwave Technology},
      • year = 2020,
      • month = mar,
      • doi = {10.1109/JLT.2020.2976479},
      • url = {https://www.merl.com/publications/TR2020-033}
      • }
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  • MERL Issued Patents

    • 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
    See All Patents for MERL