Publications

126 / 3,739 publications found.


  •  Koike-Akino, T., Kojima, K., Wang, Y., "AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_AT.2022.JW3A.44, May 2022.
    BibTeX TR2022-046 PDF Presentation
    • @inproceedings{Koike-Akino2022may3,
    • author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Wang, Ye},
    • title = {AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2022,
    • month = may,
    • publisher = {Optica},
    • doi = {10.1364/CLEO_AT.2022.JW3A.44},
    • isbn = {978-1-957171-05-0},
    • url = {https://www.merl.com/publications/TR2022-046}
    • }
  •  Medin, S.C., Egger, B., Cherian, A., Wang, Y., Tenenbaum, J.B., Liu, X., Marks, T.K., "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation", AAAI Conference on Artificial Intelligence, DOI: 10.1609/​aaai.v36i2.20091, February 2022, pp. 1962-1971.
    BibTeX TR2022-011 PDF Video Data Presentation
    • @inproceedings{Medin2022feb,
    • author = {Medin, Safa C. and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B. and Liu, Xiaoming and Marks, Tim K.},
    • title = {MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • pages = {1962--1971},
    • month = feb,
    • doi = {10.1609/aaai.v36i2.20091},
    • url = {https://www.merl.com/publications/TR2022-011}
    • }
  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", arXiv, December 2021.
    BibTeX arXiv
    • @article{Smedemark-Margulies2021dec,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
    • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
    • journal = {arXiv},
    • year = 2021,
    • month = dec,
    • url = {https://arxiv.org/abs/2112.09796}
    • }
  •  Kojima, K., Tang, Y., Wang, Y., Koike-Akino, T., "Machine Learning for design and optimization of photonic devices" in Machine Learning for Future Fiber Optic Communication Systems, Alan Pak Tao Lau and Faisal Nadeem Khan, Eds., DOI: 10.1016/​B978-0-32-385227-2.00018-8, pp. 337-374, Academic Press, November 2021.
    BibTeX TR2021-142 PDF
    • @incollection{Kojima2021nov,
    • author = {Kojima, Keisuke and Tang, Yingheng and Wang, Ye and Koike-Akino, Toshiaki},
    • title = {Machine Learning for design and optimization of photonic devices},
    • booktitle = {Machine Learning for Future Fiber Optic Communication Systems},
    • year = 2021,
    • editor = {Alan Pak Tao Lau and Faisal Nadeem Khan},
    • pages = {337--374},
    • month = nov,
    • publisher = {Academic Press},
    • doi = {10.1016/B978-0-32-385227-2.00018-8},
    • isbn = {978-0-323-85227-2},
    • url = {https://www.merl.com/publications/TR2021-142}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., Haruna, M., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​EMBC46164.2021.9630194, October 2021.
    BibTeX TR2021-136 PDF Video Presentation
    • @inproceedings{Demir2021oct,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz and Haruna, Masaki},
    • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
    • booktitle = {International IEEE EMBS Conference on Neural Engineering},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC46164.2021.9630194},
    • issn = {2694-0604},
    • isbn = {978-1-7281-1179-7},
    • url = {https://www.merl.com/publications/TR2021-136}
    • }
  •  Rakin, A.S., Wang, Y., Aeron, S., Koike-Akino, T., Moulin, P., Parsons, K., "Towards Universal Adversarial Examples and Defenses", IEEE Information Theory Workshop, DOI: 10.1109/​ITW48936.2021.9611439, October 2021.
    BibTeX TR2021-125 PDF Video
    • @inproceedings{Rakin2021oct,
    • author = {Rakin, Adnan S and Wang, Ye and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Parsons, Kieran},
    • title = {Towards Universal Adversarial Examples and Defenses},
    • booktitle = {IEEE Information Theory Workshop},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ITW48936.2021.9611439},
    • isbn = {978-1-6654-0312-2},
    • url = {https://www.merl.com/publications/TR2021-125}
    • }
  •  Koike-Akino, T., Wang, Y., Kojima, K., Parsons, K., Yoshida, T., "Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping", European Conference on Optical Communication (ECOC), DOI: 10.1109/​ECOC52684.2021.9605870, September 2021.
    BibTeX TR2021-110 PDF Presentation
    • @inproceedings{Koike-Akino2021sep,
    • author = {Koike-Akino, Toshiaki and Wang, Ye and Kojima, Keisuke and Parsons, Kieran and Yoshida, Tsuyoshi},
    • title = {Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping},
    • booktitle = {European Conference on Optical Communication (ECOC)},
    • year = 2021,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/ECOC52684.2021.9605870},
    • isbn = {978-1-6654-3868-1},
    • url = {https://www.merl.com/publications/TR2021-110}
    • }
  •  Liu, B., Guo, J., Koike-Akino, T., Wang, Y., Kim, K.J., Parsons, K., Orlik, P.V., Hashimoto, S., Yuan, J., "Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder", IEEE International conference on emerging technologies and factory automation, September 2021.
    BibTeX TR2021-107 PDF
    • @inproceedings{Liu2021sep,
    • author = {Liu, Bryan and Guo, Jianlin and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Hashimoto, Shigeru and Yuan, Jinhong},
    • title = {Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder},
    • booktitle = {IEEE International conference on emerging technologies and factory automation},
    • year = 2021,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2021-107}
    • }
  •  Koike-Akino, T., Wang, Y., "Evolution of Polar Coding", IEEE International Symposium on Topics in Coding (ISTC), August 2021.
    BibTeX TR2021-104 PDF
    • @inproceedings{Koike-Akino2021aug,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {Evolution of Polar Coding},
    • booktitle = {IEEE International Symposium on Topics in Coding (ISTC)},
    • year = 2021,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2021-104}
    • }
  •  Kojima, K., Koike-Akino, T., Tang, Y., Wang, Y., "Inverse design for integrated photonics using deep neural network", Integrated Photonics Research, Silicon and Nanophotonics (IPR), DOI: 10.1364/​IPRSN.2021.IF3A.6, July 2021.
    BibTeX TR2021-061 PDF
    • @inproceedings{Kojima2021jul,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki and Tang, Yingheng and Wang, Ye},
    • title = {Inverse design for integrated photonics using deep neural network},
    • booktitle = {Integrated Photonics Research, Silicon and Nanophotonics (IPR)},
    • year = 2021,
    • month = jul,
    • doi = {10.1364/IPRSN.2021.IF3A.6},
    • url = {https://www.merl.com/publications/TR2021-061}
    • }
  •  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), DOI: 10.1109/​ISIT45174.2021.9517751, 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,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT45174.2021.9517751},
    • isbn = {978-1-5386-8210-4},
    • 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), DOI: 10.1109/​ISIT45174.2021.9517868, 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,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT45174.2021.9517868},
    • isbn = {978-1-5386-8209-8},
    • url = {https://www.merl.com/publications/TR2021-080}
    • }
  •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Jha, D.K., Parsons, K., Qi, M., "Nano-Optic Broadband Power Splitter Design via Cycle-Consistent Adversarial Deep Learning", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2021.SW4E.1, 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 K. 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,
    • doi = {10.1364/CLEO_SI.2021.SW4E.1},
    • 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, Vol. 25, No. 8, pp. 2928-2937, 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,
    • volume = 25,
    • number = 8,
    • pages = {2928--2937},
    • month = apr,
    • doi = {10.1109/JBHI.2021.3062335},
    • issn = {2168-2208},
    • url = {https://www.merl.com/publications/TR2021-027}
    • }
  •  Sanz-Gorrachategui, I., Pastor-Flores, P., Pajovic, M., Wang, Y., Orlik, P.V., Bernal-Ruiz, C., Bono-Nuez, A., Artal-Sevil, J.S., "Remaining Useful Life Estimation for LFP Cells in Second Life Applications", IEEE Transactions on Instrumentation and Measurement, DOI: 10.1109/​TIM.2021.3055791, Vol. 70, pp. 1-10, March 2021.
    BibTeX TR2021-023 PDF
    • @article{Sanz-Gorrachategui2021mar,
    • author = {Sanz-Gorrachategui, Ivan and Pastor-Flores, Pablo and Pajovic, Milutin and Wang, Ye and Orlik, Philip V. and Bernal-Ruiz, Carlos and Bono-Nuez, Antonio and Artal-Sevil, Jesús Sergio},
    • title = {Remaining Useful Life Estimation for LFP Cells in Second Life Applications},
    • journal = {IEEE Transactions on Instrumentation and Measurement},
    • year = 2021,
    • volume = 70,
    • pages = {1--10},
    • month = mar,
    • doi = {10.1109/TIM.2021.3055791},
    • issn = {1557-9662},
    • url = {https://www.merl.com/publications/TR2021-023}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference", IEEE Access, DOI: 10.1109/​ACCESS.2021.3064530, Vol. 9, pp. 39955-39972, March 2021.
    BibTeX TR2021-016 PDF Presentation
    • @article{Demir2021mar,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference},
    • journal = {IEEE Access},
    • year = 2021,
    • volume = 9,
    • pages = {39955--39972},
    • month = mar,
    • doi = {10.1109/ACCESS.2021.3064530},
    • issn = {2169-3536},
    • url = {https://www.merl.com/publications/TR2021-016}
    • }
  •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D.K., TaherSima, M., Parsons, K., "Application of Deep Learning for Nanophotonic Device Design", SPIE Photonics West, Bahram Jalali and Ken-ichi Kitayama, Eds., DOI: 10.1117/​12.2579104, March 2021.
    BibTeX TR2020-182 PDF Video
    • @inproceedings{Kojima2021mar,
    • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh K. and TaherSima, Mohammad and Parsons, Kieran},
    • title = {Application of Deep Learning for Nanophotonic Device Design},
    • booktitle = {SPIE Photonics West},
    • year = 2021,
    • editor = {Bahram Jalali and Ken-ichi Kitayama},
    • month = mar,
    • publisher = {SPIE},
    • doi = {10.1117/12.2579104},
    • url = {https://www.merl.com/publications/TR2020-182}
    • }
  •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D.K., Tang, Y., Wang, Y., Parsons, K., "Deep Neural Networks for Inverse Design of Nanophotonic Devices", IEEE Journal of Lightwave Technology, DOI: 10.1109/​JLT.2021.3050083, January 2021.
    BibTeX TR2021-001 PDF
    • @article{Kojima2021jan,
    • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh K. and Tang, Yingheng and Wang, Ye and Parsons, Kieran},
    • title = {Deep Neural Networks for Inverse Design of Nanophotonic Devices},
    • journal = {IEEE Journal of Lightwave Technology},
    • year = 2021,
    • month = jan,
    • doi = {10.1109/JLT.2021.3050083},
    • issn = {1558-2213},
    • url = {https://www.merl.com/publications/TR2021-001}
    • }
  •  Matsumine, T., Koike-Akino, T., Wang, Y., "Polar Coding with Chemical Reaction Networks for Molecular Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM42002.2020.9321980, December 2020.
    BibTeX TR2020-160 PDF Video
    • @inproceedings{Matsumine2020dec,
    • author = {Matsumine, Toshiki and Koike-Akino, Toshiaki and Wang, Ye},
    • title = {Polar Coding with Chemical Reaction Networks for Molecular Communications},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2020,
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/GLOBECOM42002.2020.9321980},
    • issn = {2576-6813},
    • isbn = {978-1-7281-8298-8},
    • url = {https://www.merl.com/publications/TR2020-160}
    • }
  •  Yu, J., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., "Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GCWkshps50303.2020.9367535, December 2020.
    BibTeX TR2020-158 PDF
    • @inproceedings{Yu2020dec,
    • author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V.},
    • title = {Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2020,
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/GCWkshps50303.2020.9367535},
    • isbn = {978-1-7281-7307-8},
    • url = {https://www.merl.com/publications/TR2020-158}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference", arXiv, November 2020.
    BibTeX arXiv
    • @article{Demir2020nov,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference},
    • journal = {arXiv},
    • year = 2020,
    • month = nov,
    • url = {https://arxiv.org/abs/2007.01255}
    • }
  •  Talreja, V., Koike-Akino, T., Wang, Y., Millar, D.S., Kojima, K., Parsons, K., "End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping", European Conference on Optical Communication (ECOC), DOI: 10.1109/​ECOC48923.2020.9333382, November 2020.
    BibTeX TR2020-155 PDF Video
    • @inproceedings{Talreja2020nov,
    • author = {Talreja, Veeru and Koike-Akino, Toshiaki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
    • title = {End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping},
    • booktitle = {European Conference on Optical Communication (ECOC)},
    • year = 2020,
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.1109/ECOC48923.2020.9333382},
    • isbn = {978-1-7281-7361-0},
    • url = {https://www.merl.com/publications/TR2020-155}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference", arXiv, October 2020.
    BibTeX arXiv
    • @article{Demir2020oct,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference},
    • journal = {arXiv},
    • year = 2020,
    • month = oct,
    • url = {https://arxiv.org/abs/2007.01255}
    • }
  •  Tang, Y., Kojima, K., Koike-Akino, T., Wang, Y., Wu, P., TaherSima, M., Jha, D.K., Parsons, K., Qi, M., "Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices", Lasers and Photonics Reviews, DOI: 10.1002/​lpor.202000287, Vol. 2020, pp. 2000287, October 2020.
    BibTeX TR2020-135 PDF
    • @article{Tang2020oct,
    • author = {Tang, Yingheng and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Wu, Pengxiang and TaherSima, Mohammad and Jha, Devesh K. and Parsons, Kieran and Qi, Minghao},
    • title = {Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices},
    • journal = {Lasers and Photonics Reviews},
    • year = 2020,
    • volume = 2020,
    • pages = 2000287,
    • month = oct,
    • doi = {10.1002/lpor.202000287},
    • url = {https://www.merl.com/publications/TR2020-135}
    • }
  •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D.K., Parsons, K., TaherSima, M., Sang, F., Klamkin, J., Qi, M., "Inverse Design of Nanophotonic Devices using Deep Neural Networks", Asia Communications and Photonics Conference (ACP), September 2020, pp. Su1A.1.
    BibTeX TR2020-130 PDF Video
    • @inproceedings{Kojima2020sep,
    • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh K. and Parsons, Kieran and TaherSima, Mohammad and Sang, Fengqiao and Klamkin, Jonathan and Qi, Minghao},
    • title = {Inverse Design of Nanophotonic Devices using Deep Neural Networks},
    • booktitle = {Asia Communications and Photonics Conference (ACP)},
    • year = 2020,
    • pages = {Su1A.1},
    • month = sep,
    • publisher = {Optical Society of America},
    • isbn = {978-1-943580-82-8},
    • url = {https://www.merl.com/publications/TR2020-130}
    • }