Publications

3,604 major publications by members of the MERL staff.


  •  Bonzanini, A.D., Mesbah, A., Di Cairano, S., "On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682990, December 2021.
    BibTeX TR2021-145 PDF
    • @inproceedings{Bonzanini2021dec,
    • author = {Bonzanini, Angelo Domenico and Mesbah, Ali and Di Cairano, Stefano},
    • title = {On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9682990},
    • url = {https://www.merl.com/publications/TR2021-145}
    • }
  •  Johnson, R.S., Di Cairano, S., Sanfelice, R., "Parameter Estimation using Hybrid Gradient Descent", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682794, December 2021.
    BibTeX TR2021-146 PDF
    • @inproceedings{Johnson2021dec,
    • author = {Johnson, Ryan S. and Di Cairano, Stefano and Sanfelice, Ricardo},
    • title = {Parameter Estimation using Hybrid Gradient Descent},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2021,
    • month = dec,
    • doi = {10.1109/CDC45484.2021.9682794},
    • url = {https://www.merl.com/publications/TR2021-146}
    • }
  •  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}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2021.3129363, Vol. 29, pp. 3476-3490, December 2021.
    BibTeX TR2021-144 PDF
    • @article{Wang2021dec,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2021,
    • volume = 29,
    • pages = {3476--3490},
    • month = dec,
    • doi = {10.1109/TASLP.2021.3129363},
    • url = {https://www.merl.com/publications/TR2021-144}
    • }
  •  Yu, X., van Baar, J., Chen, S., Sullivan, A., "Keypoint-aligned 3D Human Shape Recovery from A Single Imagewith Bilayer-Graph", International Conference on 3D Vision (3DV), DOI: 10.1109/​3DV53792.2021.00060, December 2021, pp. 505-514.
    BibTeX TR2021-143 PDF
    • @inproceedings{Yu2021dec,
    • author = {Yu, Xin and van Baar, Jeroen and Chen, Siheng and Sullivan, Alan},
    • title = {Keypoint-aligned 3D Human Shape Recovery from A Single Imagewith Bilayer-Graph},
    • booktitle = {International Conference on 3D Vision (3DV)},
    • year = 2021,
    • pages = {505--514},
    • month = dec,
    • doi = {10.1109/3DV53792.2021.00060},
    • url = {https://www.merl.com/publications/TR2021-143}
    • }
  •  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}
    • }
  •  Furuichi, T., Ma, R., Koike-Akino, T., Komatsuszaki, Y., "Full-Range Three-Stage 16GSa/s Riemann Pump RF-Power DAC in GaN HEMT", Asia-Pacific Microwave Conference (APMC), DOI: 1109/​APMC52720.2021.9661641, November 2021.
    BibTeX TR2021-141 PDF
    • @inproceedings{Furuichi2021nov,
    • author = {Furuichi, Tomoyuki and Ma, Rui and Koike-Akino, Toshiaki and Komatsuszaki, Yuji},
    • title = {Full-Range Three-Stage 16GSa/s Riemann Pump RF-Power DAC in GaN HEMT},
    • booktitle = {Asia-Pacific Microwave Conference (APMC) 2021},
    • year = 2021,
    • month = nov,
    • doi = {1109/APMC52720.2021.9661641},
    • isbn = {978-1-6654-3782-0},
    • url = {https://www.merl.com/publications/TR2021-141}
    • }
  •  Wang, P., Koike-Akino, T., Ma, R., Orlik, P.V., Yamashita, G., Tsujita, W., Nakajima, M., "Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50926.2021.9566940, November 2021.
    BibTeX TR2021-098 PDF
    • @inproceedings{Wang2021nov,
    • author = {Wang, Perry and Koike-Akino, Toshiaki and Ma, Rui and Orlik, Philip V. and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
    • title = {Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning},
    • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
    • year = 2021,
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.1109/IRMMW-THz50926.2021.9566940},
    • issn = {2162-2035},
    • isbn = {978-1-7281-9424-0},
    • url = {https://www.merl.com/publications/TR2021-098}
    • }
  •  Wang, B., Zhou, L., Miyoshi, M., Inoue, H., Kanemaru, M., "Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/​ICEMS52562.2021.9634328, November 2021, pp. 944-948.
    BibTeX TR2021-139 PDF
    • @inproceedings{Wang2021nov3,
    • author = {Wang, Bingnan and Zhou, Lei and Miyoshi, Masahito and Inoue, hiroshi and Kanemaru, Makoto},
    • title = {Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory},
    • booktitle = {2021 24th International Conference on Electrical Machines and Systems (ICEMS)},
    • year = 2021,
    • pages = {944--948},
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.23919/ICEMS52562.2021.9634328},
    • url = {https://www.merl.com/publications/TR2021-139}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "On The Compensation Between Magnitude and Phase in Speech Separation", IEEE Signal Processing Letters, DOI: 10.1109/​LSP.2021.3116502, Vol. 28, pp. 2018-2022, November 2021.
    BibTeX TR2021-137 PDF
    • @article{Wang2021nov2,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {On The Compensation Between Magnitude and Phase in Speech Separation},
    • journal = {IEEE Signal Processing Letters},
    • year = 2021,
    • volume = 28,
    • pages = {2018--2022},
    • month = nov,
    • doi = {10.1109/LSP.2021.3116502},
    • url = {https://www.merl.com/publications/TR2021-137}
    • }
  •  Yao, G., WANG, P., Berntorp, K., Mansour, H., Boufounos, P.T., Orlik, P.V., "Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar", International Conference on Information Fusion (FUSION), November 2021, pp. 1-8.
    BibTeX TR2021-138 PDF
    • @inproceedings{Yao2021nov,
    • author = {Yao, Gang and WANG, PU and Berntorp, Karl and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
    • title = {Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar},
    • booktitle = {International Conference on Information Fusion (FUSION)},
    • year = 2021,
    • pages = {1--8},
    • month = nov,
    • isbn = {IEEE Xplore},
    • url = {https://www.merl.com/publications/TR2021-138}
    • }
  •  Zhang, Z., Liu, D., "A Graph-based Method to Extract Broken Rotor Bar Fault Signature in Varying Speed Operation", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/​ICEMS52562.2021.9634664, October 2021.
    BibTeX TR2021-135 PDF Video
    • @inproceedings{Zhang2021oct,
    • author = {Zhang, Zhe and Liu, Dehong},
    • title = {A Graph-based Method to Extract Broken Rotor Bar Fault Signature in Varying Speed Operation},
    • booktitle = {ICEMS 2021},
    • year = 2021,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.23919/ICEMS52562.2021.9634664},
    • issn = {2642-5513},
    • isbn = {978-8-9865-1021-8},
    • url = {https://www.merl.com/publications/TR2021-135}
    • }
  •  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}
    • }
  •  Chen, D., Danielson, C., Di Cairano, S., "A Predictive Controller for Drivability and Comfort in Multi-Motor Electric Vehicles", IFAC Modeling, Estimation and Control Conference (MECC), DOI: 10.1016/​j.ifacol.2021.11.245, October 2021, pp. 650-656.
    BibTeX TR2021-133 PDF
    • @inproceedings{Chen2021oct,
    • author = {Chen, Di and Danielson, Claus and Di Cairano, Stefano},
    • title = {A Predictive Controller for Drivability and Comfort in Multi-Motor Electric Vehicles},
    • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
    • year = 2021,
    • pages = {650--656},
    • month = oct,
    • publisher = {Elsevier},
    • doi = {10.1016/j.ifacol.2021.11.245},
    • url = {https://www.merl.com/publications/TR2021-133}
    • }
  •  Srinivasan, M., Chakrabarty, A., Quirynen, R., yoshikawa, N., Mariyama, T., Di Cairano, S., "Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs", IFAC Modeling, Estimation and Control Conference (MECC), DOI: 10.1016/​j.ifacol.2021.11.237, October 2021, pp. 598-604.
    BibTeX TR2021-134 PDF Video
    • @inproceedings{Srinivasan2021oct,
    • author = {Srinivasan, Mohit and Chakrabarty, Ankush and Quirynen, Rien and yoshikawa, nobuyuki and Mariyama, Toshisada and Di Cairano, Stefano},
    • title = {Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs},
    • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
    • year = 2021,
    • pages = {598--604},
    • month = oct,
    • doi = {10.1016/j.ifacol.2021.11.237},
    • url = {https://www.merl.com/publications/TR2021-134}
    • }
  •  Menner, M., Di Cairano, S., "Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, DOI: 10.1109/​VPPC53923.2021.9699361, October 2021, pp. 1-6.
    BibTeX TR2021-132 PDF
    • @inproceedings{Menner2021oct,
    • author = {Menner, Marcel and Di Cairano, Stefano},
    • title = {Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles},
    • booktitle = {IEEE Vehicle Power and Propulsion Conference},
    • year = 2021,
    • pages = {1--6},
    • month = oct,
    • doi = {10.1109/VPPC53923.2021.9699361},
    • url = {https://www.merl.com/publications/TR2021-132}
    • }
  •  Romero, D., Lohit, S., "Learning equivariances and partial equivariances from data", arXiv, October 2021.
    BibTeX arXiv
    • @article{Romero2021oct,
    • author = {Romero, David and Lohit, Suhas},
    • title = {Learning equivariances and partial equivariances from data},
    • journal = {arXiv},
    • year = 2021,
    • month = oct,
    • url = {https://arxiv.org/abs/2110.10211}
    • }
  •  Sun, H., Kawano, S., Nikovski, D.N., Takano, T., Mori, K., "Distribution system fault location analysis using graph neural network with node and link attributes", IEEE PES Innovative Smart Grid Technologies Conference - Europe (ISGT Europe), DOI: 10.1109/​ISGTEurope52324.2021.9639928, October 2021.
    BibTeX TR2021-130 PDF
    • @inproceedings{Sun2021oct,
    • author = {Sun, Hongbo and Kawano, Shunsuke and Nikovski, Daniel N. and Takano, Tomihiro and Mori, Kazuyuki},
    • title = {Distribution system fault location analysis using graph neural network with node and link attributes},
    • booktitle = {IEEE PES Innovative Smart Grid Technologies Conference - Europe (ISGT Europe)},
    • year = 2021,
    • month = oct,
    • doi = {10.1109/ISGTEurope52324.2021.9639928},
    • url = {https://www.merl.com/publications/TR2021-130}
    • }
  •  Li, X., Kojima, K., Brand, M., "Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics", IEEE Photonics Conference (IPC), DOI: 10.1109/​IPC48725.2021.9593086, October 2021, pp. 1-2.
    BibTeX TR2021-140 PDF
    • @inproceedings{Li2021oct,
    • author = {Li, Xinhao and Kojima, Keisuke and Brand, Matthew},
    • title = {Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics},
    • booktitle = {IEEE Photonics Conference (IPC)},
    • year = 2021,
    • pages = {1--2},
    • month = oct,
    • doi = {10.1109/IPC48725.2021.9593086},
    • url = {https://www.merl.com/publications/TR2021-140}
    • }
  •  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}
    • }
  •  Chakrabarty, A., Quirynen, R., Romeres, D., Di Cairano, S., "Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC", IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/​SMC52423.2021.9659186, October 2021, pp. 3238-3244.
    BibTeX TR2021-126 PDF Video
    • @inproceedings{Chakrabarty2021oct,
    • author = {Chakrabarty, Ankush and Quirynen, Rien and Romeres, Diego and Di Cairano, Stefano},
    • title = {Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
    • year = 2021,
    • pages = {3238--3244},
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9659186},
    • url = {https://www.merl.com/publications/TR2021-126}
    • }
  •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters", IEEE International Conference on Systems, Man, and Cybernetics (SMC), DOI: 10.1109/​SMC52423.2021.9658893, October 2021.
    BibTeX TR2021-128 PDF Video
    • @inproceedings{Chakrabarty2021oct2,
    • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
    • year = 2021,
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9658893},
    • url = {https://www.merl.com/publications/TR2021-128}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Reverberant Speech Separation", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632667, October 2021, pp. 56-60.
    BibTeX TR2021-127 PDF
    • @inproceedings{Wang2021oct4,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
    • title = {Convolutive Prediction for Reverberant Speech Separation},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2021,
    • pages = {56--60},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA52581.2021.9632667},
    • url = {https://www.merl.com/publications/TR2021-127}
    • }
  •  Wichern, G., Chakrabarty, A., Wang, Z.-Q., Le Roux, J., "Anomalous sound detection using attentive neural processes", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632762, October 2021, pp. 186-190.
    BibTeX TR2021-129 PDF
    • @inproceedings{Wichern2021oct,
    • author = {Wichern, Gordon and Chakrabarty, Ankush and Wang, Zhong-Qiu and Le Roux, Jonathan},
    • title = {Anomalous sound detection using attentive neural processes},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2021,
    • pages = {186--190},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA52581.2021.9632762},
    • url = {https://www.merl.com/publications/TR2021-129}
    • }
  •  Wang, B., Shin, K.-H., Hidaka, Y., Kondo, S., Arita, H., Ito, K., "Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE47101.2021.9595341, October 2021, pp. 4142-4148.
    BibTeX TR2021-123 PDF
    • @inproceedings{Wang2021oct2,
    • author = {Wang, Bingnan and Shin, Kyung-Hun and Hidaka, Yuki and Kondo, Shota and Arita, Hideaki and Ito, Kazumasa},
    • title = {Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors},
    • booktitle = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2021,
    • pages = {4142--4148},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ECCE47101.2021.9595341},
    • url = {https://www.merl.com/publications/TR2021-123}
    • }