Publications

133 / 3,283 publications found.


  •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D.K., Tang, Y., Parsons, K., Sang, F., Klamkin, J., "Deep Neural Networks for Designing Integrated Photonics", Optical Fiber Communication Conference and Exposition (OFC), DOI: 10.1364/​OFC.2020.Th1A.6, March 2020.
    BibTeX TR2020-057 PDF
    • @inproceedings{Kojima2020mar,
    • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh K. and Tang, Yingheng and Parsons, Kieran and Sang, Fengqiao and Klamkin, Jonathan},
    • title = {Deep Neural Networks for Designing Integrated Photonics},
    • booktitle = {Optical Fiber Communication Conference and Exposition (OFC)},
    • year = 2020,
    • month = mar,
    • publisher = {OSA},
    • doi = {10.1364/OFC.2020.Th1A.6},
    • isbn = {978-1-943580-71-2},
    • url = {https://www.merl.com/publications/TR2020-057}
    • }
  •  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 a Multi-level NanoOptic Broadband Power Splitter", Optical Fiber Communication Conference and Exposition (OFC), DOI: 10.1364/​OFC.2020.Th1A.1, March 2020, pp. Th1A.1.
    BibTeX TR2020-025 PDF
    • @inproceedings{Tang2020mar,
    • 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 a Multi-level NanoOptic Broadband Power Splitter},
    • booktitle = {Optical Fiber Communication Conference and Exposition (OFC)},
    • year = 2020,
    • pages = {Th1A.1},
    • month = mar,
    • publisher = {OSA},
    • doi = {10.1364/OFC.2020.Th1A.1},
    • isbn = {978-1-943580-71-2},
    • url = {https://www.merl.com/publications/TR2020-025}
    • }
  •  Aihara, R., Wichern, G., Le Roux, J., "Deep Clustering-based Single Channel Speech Separation and Recent Advances", Acoustical Science and Technology, DOI: 10.1250/​ast.41.465, Vol. 41, No. 2, pp. 465-471, March 2020.
    BibTeX TR2021-020 PDF
    • @article{Aihara2020jun,
    • author = {Aihara, Ryo and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Deep Clustering-based Single Channel Speech Separation and Recent Advances},
    • journal = {Acoustical Science and Technology},
    • year = 2020,
    • volume = 41,
    • number = 2,
    • pages = {465--471},
    • month = mar,
    • doi = {10.1250/ast.41.465},
    • url = {https://www.merl.com/publications/TR2021-020}
    • }
  •  He, W., Lee, T.-Y., van Baar, J., Wittenburg, K.B., Shen, H.-W., "DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies", IEEE Pacific Visualization Symposium (PacificVis), DOI: 10.1109/​PacificVis48177.2020.7127, January 2020, pp. 36-45.
    BibTeX TR2020-011 PDF
    • @inproceedings{He2020jan,
    • author = {He, Wenbin and Lee, Teng-Yok and van Baar, Jeroen and Wittenburg, Kent B. and Shen, Han-Wei},
    • title = {DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies},
    • booktitle = {IEEE Pacific Visualization Symposium (PacificVis)},
    • year = 2020,
    • pages = {36--45},
    • month = jan,
    • doi = {10.1109/PacificVis48177.2020.7127},
    • url = {https://www.merl.com/publications/TR2020-011}
    • }
  •  Chen, S., Duan, C., Yang, Y., Feng, C., Li, D., Tian, D., "Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering", IEEE Transactions on Image Processing, DOI: 10.1109/​TIP.2019.2957935, pp. 3183-3198, January 2020.
    BibTeX TR2020-004 PDF Software
    • @article{Chen2020jan,
    • author = {Chen, Siheng and Duan, Chaojing and Yang, Yaoqing and Feng, Chen and Li, Duanshun and Tian, Dong},
    • title = {Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering},
    • journal = {IEEE Transactions on Image Processing},
    • year = 2020,
    • pages = {3183--3198},
    • month = jan,
    • doi = {10.1109/TIP.2019.2957935},
    • url = {https://www.merl.com/publications/TR2020-004}
    • }
  •  Xu, H., Sun, H., Nikovski, D.N., Kitamura, S., Mori, K., Hashimoto, H., "Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity", IEEE Transactions on smart grids, DOI: 10.1109/​TSG.2019.2903756, Vol. 10, No. 6, pp. 6366-6375, January 2020.
    BibTeX TR2020-003 PDF
    • @article{Xu2020jan,
    • author = {Xu, Hanchen and Sun, Hongbo and Nikovski, Daniel N. and Kitamura, Shoichi and Mori, Kazuyuki and Hashimoto, Hiroyuki},
    • title = {Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity},
    • journal = {IEEE Transactions on smart grids},
    • year = 2020,
    • volume = 10,
    • number = 6,
    • pages = {6366--6375},
    • month = jan,
    • doi = {10.1109/TSG.2019.2903756},
    • issn = {1949-3061},
    • url = {https://www.merl.com/publications/TR2020-003}
    • }
  •  Chu, T., Kalabić, U., "Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC40024.2019.9030110, December 2019, pp. 4079-4084.
    BibTeX TR2019-142 PDF
    • @inproceedings{Chu2019dec,
    • author = {Chu, Tianshu and Kalabić, Uroš},
    • title = {Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoons},
    • booktitle = {Proc. IEEE Conference on Decision and Control},
    • year = 2019,
    • pages = {4079--4084},
    • month = dec,
    • doi = {10.1109/CDC40024.2019.9030110},
    • url = {https://www.merl.com/publications/TR2019-142}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM38437.2019.9013967, December 2019.
    BibTeX TR2019-132 PDF
    • @inproceedings{Fujihashi2019dec,
    • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
    • title = {DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2019,
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/GLOBECOM38437.2019.9013967},
    • issn = {2576-6813},
    • isbn = {978-1-7281-0962-6},
    • url = {https://www.merl.com/publications/TR2019-132}
    • }
  •  Jespersen, M.H., Pajovic, M., Koike-Akino, T., Wang, Y., Popovski, P., Orlik, P.V., "Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM38437.2019.9013510, December 2019.
    BibTeX TR2019-140 PDF
    • @inproceedings{Jespersen2019dec,
    • author = {Jespersen, Mads Helge and Pajovic, Milutin and Koike-Akino, Toshiaki and Wang, Ye and Popovski, Petar and Orlik, Philip V.},
    • title = {Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2019,
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/GLOBECOM38437.2019.9013510},
    • issn = {2576-6813},
    • isbn = {978-1-7281-0962-6},
    • url = {https://www.merl.com/publications/TR2019-140}
    • }
  •  Liu, B., Wei, Z., Yuan, J., Pajovic, M., "Deep Learning Assisted User Identification in Massive Machine-Type Communications", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOBECOM38437.2019.9014177, December 2019, pp. 1-6.
    BibTeX TR2019-134 PDF
    • @inproceedings{Liu2019dec,
    • author = {Liu, Bryan and Wei, Zhiqiang and Yuan, Jinhong and Pajovic, Milutin},
    • title = {Deep Learning Assisted User Identification in Massive Machine-Type Communications},
    • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
    • year = 2019,
    • pages = {1--6},
    • month = dec,
    • doi = {10.1109/GLOBECOM38437.2019.9014177},
    • url = {https://www.merl.com/publications/TR2019-134}
    • }
  •  Zhang, Z., Wu, Y., Wang, G., "Unsupervised Deep Feature Transfer for Low Resolution Image Classification", IEEE International Conference on Computer Vision Workshops (ICCV), DOI: 10.1109/​ICCVW.2019.00136, October 2019, pp. 1065-1069.
    BibTeX TR2019-127 PDF
    • @inproceedings{Zhang2019oct,
    • author = {Zhang, Ziming and Wu, Yuanwei and Wang, Guanghui},
    • title = {Unsupervised Deep Feature Transfer for Low Resolution Image Classification},
    • booktitle = {IEEE International Conference on Computer Vision Workshops (ICCV)},
    • year = 2019,
    • pages = {1065--1069},
    • month = oct,
    • doi = {10.1109/ICCVW.2019.00136},
    • url = {https://www.merl.com/publications/TR2019-127}
    • }
  •  Wu, Y., Marks, T.K., Cherian, A., Chen, S., Feng, C., Wang, G., Sullivan, A., "Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation", IEEE ICCV Workshop on Recovering 6D Object Pose, DOI: 10.1109/​ICCVW.2019.00339, October 2019, pp. 2777-2786.
    BibTeX TR2019-118 PDF
    • @inproceedings{Wu2019oct,
    • author = {Wu, Yuanwei and Marks, Tim K. and Cherian, Anoop and Chen, Siheng and Feng, Chen and Wang, Guanghui and Sullivan, Alan},
    • title = {Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation},
    • booktitle = {IEEE ICCV Workshop on Recovering 6D Object Pose},
    • year = 2019,
    • pages = {2777--2786},
    • month = oct,
    • doi = {10.1109/ICCVW.2019.00339},
    • url = {https://www.merl.com/publications/TR2019-118}
    • }
  •  Maske, H., Chu, T., Kalabić, U., "Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning", IEEE Intelligent Transportation Systems Conference (ITSC), DOI: 10.1109/​ITSC.2019.8916776, October 2019, pp. 3816-3821.
    BibTeX TR2019-126 PDF
    • @inproceedings{Maske2019oct,
    • author = {Maske, Harshal and Chu, Tianshu and Kalabić, Uroš},
    • title = {Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning},
    • booktitle = {Proc. IEEE Intelligent Transportation Systems Conf.},
    • year = 2019,
    • pages = {3816--3821},
    • month = oct,
    • doi = {10.1109/ITSC.2019.8916776},
    • url = {https://www.merl.com/publications/TR2019-126}
    • }
  •  Marks, T.K., Kumar, A., Mou, W., Feng, C., Liu, X., "UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss", IEEE International Conference on Computer Vision (ICCV) Workshop on Statistical Deep Learning for Computer Vision (SDL-CV), DOI: 10.1109/​ICCVW.2019.00103, October 2019, pp. 778-782.
    BibTeX TR2019-117 PDF Software
    • @inproceedings{Marks2019oct,
    • author = {Marks, Tim K. and Kumar, Abhinav and Mou, Wenxuan and Feng, Chen and Liu, Xiaoming},
    • title = {UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss},
    • booktitle = {IEEE International Conference on Computer Vision (ICCV) Workshop on Statistical Deep Learning for Computer Vision (SDL-CV)},
    • year = 2019,
    • pages = {778--782},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ICCVW.2019.00103},
    • url = {https://www.merl.com/publications/TR2019-117}
    • }
  •  Kavalerov, I., Wisdom, S., Erdogan, H., Patton, B., Wilson, K., Le Roux, J., Hershey, J., "Universal Sound Separation", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA.2019.8937253, October 2019, pp. 170-174.
    BibTeX TR2019-123 PDF
    • @inproceedings{Kavalerov2019oct,
    • author = {Kavalerov, Ilya and Wisdom, Scott and Erdogan, Hakan and Patton, Brian and Wilson, Kevin and Le Roux, Jonathan and Hershey, John},
    • title = {Universal Sound Separation},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2019,
    • pages = {170--174},
    • month = oct,
    • doi = {10.1109/WASPAA.2019.8937253},
    • issn = {1947-1629},
    • isbn = {978-1-7281-1123-0},
    • url = {https://www.merl.com/publications/TR2019-123}
    • }
  •  Manilow, E., Wichern, G., Seetharaman, P., Le Roux, J., "Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA.2019.8937170, October 2019, pp. 45-49.
    BibTeX TR2019-124 PDF
    • @inproceedings{Manilow2019oct,
    • author = {Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan},
    • title = {Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2019,
    • pages = {45--49},
    • month = oct,
    • doi = {10.1109/WASPAA.2019.8937170},
    • issn = {1947-1629},
    • isbn = {978-1-7281-1123-0},
    • url = {https://www.merl.com/publications/TR2019-124}
    • }
  •  Zhang, W., Jha, D.K., Laftchiev, E., Nikovski, D.N., "Multi-label Prediction in Time Series Data using Deep Neural Networks", International Journal for Prognostics and Health Management Special Issue on Applications of Deep Learning and Emerging Analytics, Vol. 10, pp. 0-12, September 2019.
    BibTeX TR2019-110 PDF
    • @article{Zhang2019sep2,
    • author = {Zhang, Wenyu and Jha, Devesh K. and Laftchiev, Emil and Nikovski, Daniel N.},
    • title = {Multi-label Prediction in Time Series Data using Deep Neural Networks},
    • journal = {International Journal for Prognostics and Health Management Special Issue on Applications of Deep Learning and Emerging Analytics},
    • year = 2019,
    • volume = 10,
    • pages = {0--12},
    • month = sep,
    • note = {Special Issue on Deep Learning and Emerging Analytics},
    • issn = {2153-2648},
    • url = {https://www.merl.com/publications/TR2019-110}
    • }
  •  Karafiat, M., Baskar, M.K., Watanabe, S., Hori, T., Wiesner, M., Cernocky, J.H., "Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems", Interspeech, DOI: 10.21437/​Interspeech.2019-2355/​/​, September 2019, pp. 2019-2355.
    BibTeX TR2019-103 PDF
    • @inproceedings{Karafiat2019sep,
    • author = {Karafiat, Martin and Baskar, Murali Karthick and Watanabe, Shinji and Hori, Takaaki and Wiesner, Matthew and Cernocky, Jan, Honza},
    • title = {Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems},
    • booktitle = {Interspeech},
    • year = 2019,
    • pages = {2019--2355},
    • month = sep,
    • doi = {10.21437/Interspeech.2019-2355//},
    • url = {https://www.merl.com/publications/TR2019-103}
    • }
  •  Zhang, S., Zhang, S., Wang, B., Habetler, T., "Deep Learning Algorithms for Bearing Fault Diagnostics — A Review", Symposium on Diagnostics for Electric Machines, Power Electronic and Drives (SDEMPED), DOI: 10.1109/​DEMPED.2019.8864915, August 2019, pp. 257-263.
    BibTeX TR2019-084 PDF
    • @inproceedings{Zhang2019aug,
    • author = {Zhang, Shen and Zhang, Shibo and Wang, Bingnan and Habetler, Thomas},
    • title = {Deep Learning Algorithms for Bearing Fault Diagnostics — A Review},
    • booktitle = {Symposium on Diagnostics for Electric Machines, Power Electronic and Drives (SDEMPED)},
    • year = 2019,
    • pages = {257--263},
    • month = aug,
    • doi = {10.1109/DEMPED.2019.8864915},
    • url = {https://www.merl.com/publications/TR2019-084}
    • }
  •  Wang, J., Cherian, A., "Discriminative Video Representation Learning Using Support Vector Classifiers", IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/​TPAMI.2019.2937292, August 2019.
    BibTeX TR2019-107 PDF
    • @article{Wang2019aug,
    • author = {Wang, Jue and Cherian, Anoop},
    • title = {Discriminative Video Representation Learning Using Support Vector Classifiers},
    • journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    • year = 2019,
    • month = aug,
    • doi = {10.1109/TPAMI.2019.2937292},
    • url = {https://www.merl.com/publications/TR2019-107}
    • }
  •  Li, Z., Chu, T., Kalabić, U., "Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA.2019.8920696, August 2019, pp. 585-591.
    BibTeX TR2019-082 PDF
    • @inproceedings{Li2019aug,
    • author = {Li, Zhaojian and Chu, Tianshu and Kalabić, Uroš},
    • title = {Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control},
    • booktitle = {Proc. IEEE Conf. Control Technology and Applications},
    • year = 2019,
    • pages = {585--591},
    • month = aug,
    • doi = {10.1109/CCTA.2019.8920696},
    • url = {https://www.merl.com/publications/TR2019-082}
    • }
  •  Takahashi, T., Sun, H., Tian, D., Wang, Y., "Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks", International Conference on Automated Planning and Scheduling (ICAPS), July 2019, pp. 764-772.
    BibTeX TR2019-072 PDF
    • @inproceedings{Takahashi2019jul,
    • author = {Takahashi, Takeshi and Sun, He and Tian, Dong and Wang, Yebin},
    • title = {Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks},
    • booktitle = {International Conference on Automated Planning and Scheduling (ICAPS)},
    • year = 2019,
    • pages = {764--772},
    • month = jul,
    • publisher = {AAAI},
    • url = {https://www.merl.com/publications/TR2019-072}
    • }
  •  Lee, T.-Y., van Baar, J., Wittenburg, K.B., Sullivan, A., "Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Explanable AI Workshop, June 2019, pp. 99-102.
    BibTeX TR2019-049 PDF
    • @inproceedings{Lee2019jun2,
    • author = {Lee, Teng-Yok and van Baar, Jeroen and Wittenburg, Kent B. and Sullivan, Alan},
    • title = {Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Explanable AI Workshop},
    • year = 2019,
    • pages = {99--102},
    • month = jun,
    • url = {https://www.merl.com/publications/TR2019-049}
    • }
  •  Duan, C., Chen, S., Tian, D., Moura, J., Kovacevic, J., "Deep Graph Topology Learning for 3D Point Cloud Reconstruction", Graph Signal Processing Workshop (GSP), June 2019.
    BibTeX TR2019-046 PDF
    • @inproceedings{Duan2019jun,
    • author = {Duan, Chaojing and Chen, Siheng and Tian, Dong and Moura, Jose and Kovacevic, Jelena},
    • title = {Deep Graph Topology Learning for 3D Point Cloud Reconstruction},
    • booktitle = {Graph Signal Processing Workshop (GSP)},
    • year = 2019,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2019-046}
    • }
  •  Matsumine, T., Koike-Akino, T., Wang, Y., "Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC.2019.8761963, June 2019.
    BibTeX TR2019-025 PDF
    • @inproceedings{Matsumine2019jun,
    • author = {Matsumine, Toshiki and Koike-Akino, Toshiaki and Wang, Ye},
    • title = {Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2019,
    • month = jun,
    • doi = {10.1109/ICC.2019.8761963},
    • issn = {1938-1883},
    • isbn = {978-1-5386-8088-9},
    • url = {https://www.merl.com/publications/TR2019-025}
    • }