Publications

134 / 3,809 publications found.


  •  Dey, R., Egger, B., Boddeti, V., Wang, Y., Marks, T.K., "CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), April 2024.
    BibTeX TR2024-045 PDF
    • @inproceedings{Dey2024apr,
    • author = {Dey, Rahul and Egger, Bernhard and Boddeti, Vishnu and Wang, Ye and Marks, Tim K.},
    • title = {{CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
    • year = 2024,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2024-045}
    • }
  •  Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules", arXiv, March 2024.
    BibTeX arXiv
    • @article{Chen2024mar,
    • author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew and Wang, Guanghui and Koike-Akino, Toshiaki},
    • title = {{SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules}},
    • journal = {arXiv},
    • year = 2024,
    • month = mar,
    • url = {https://arxiv.org/abs/2403.11887}
    • }
  •  Kobori, H., Fukuchi, K., Wang, Y., "Evaluation of Information Security Risk from Training Data Inference in Federated Learning", The Institute of Electronics, Information and Communication Engineers, General Conference, March 2024.
    BibTeX
    • @inproceedings{Kobori2024mar,
    • author = {Kobori, Hiroko and Fukuchi, Ken and Wang, Ye},
    • title = {{Evaluation of Information Security Risk from Training Data Inference in Federated Learning}},
    • booktitle = {The Institute of Electronics, Information and Communication Engineers, General Conference},
    • year = 2024,
    • month = mar
    • }
  •  Lowy, A., Li, Z., Liu, J., Koike-Akino, T., Parsons, K., Wang, Y., "Why Does Differential Privacy with Large ε Defend Against Practical Membership Inference Attacks?", AAAI Workshop on Privacy-Preserving Artificial Intelligence, February 2024.
    BibTeX TR2024-009 PDF
    • @inproceedings{Lowy2024feb2,
    • author = {Lowy, Andrew and Li, Zhuohang and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{Why Does Differential Privacy with Large ε Defend Against Practical Membership Inference Attacks?}},
    • booktitle = {AAAI Workshop on Privacy-Preserving Artificial Intelligence},
    • year = 2024,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2024-009}
    • }
  •  Liu, J., Koike-Akino, T., Wang, P., Brand, M., Wang, Y., Parsons, K., "LoDA: Low-Dimensional Adaptation of Large Language Models", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2023.
    BibTeX TR2023-150 PDF
    • @inproceedings{Liu2023dec,
    • author = {Liu, Jing and Koike-Akino, Toshiaki and Wang, Pu and Brand, Matthew and Wang, Ye and Parsons, Kieran},
    • title = {{LoDA: Low-Dimensional Adaptation of Large Language Models}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
    • year = 2023,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2023-150}
    • }
  •  Li, Z., Lowy, A., Liu, J., Koike-Akino, T., Malin, B., Parsons, K., Wang, Y., "Exploring User-level Gradient Inversion with a Diffusion Prior", International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS, December 2023.
    BibTeX TR2023-149 PDF
    • @inproceedings{Li2023dec,
    • author = {Li, Zhuohang and Lowy, Andrew and Liu, Jing and Koike-Akino, Toshiaki and Malin, Bradley and Parsons, Kieran and Wang, Ye},
    • title = {{Exploring User-level Gradient Inversion with a Diffusion Prior}},
    • booktitle = {International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS},
    • year = 2023,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2023-149}
    • }
  •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., Koike-Akino, T., Wang, Y., "Electric Machine Inverse Design with Variational Auto-Encoder (VAE)", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE53617.2023.10362903, October 2023.
    BibTeX TR2023-134 PDF
    • @inproceedings{Xu2023nov,
    • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
    • title = {{Electric Machine Inverse Design with Variational Auto-Encoder (VAE)}},
    • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2023,
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ECCE53617.2023.10362903},
    • issn = {2329-3748},
    • isbn = {979-8-3503-1644-5},
    • url = {https://www.merl.com/publications/TR2023-134}
    • }
  •  Nair, N.G., Cherian, A., Lohit, S., Wang, Y., Koike-Akino, T., Patel, V.M., Marks, T.K., "Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis", IEEE International Conference on Computer Vision (ICCV), October 2023, pp. 20850-20860.
    BibTeX TR2023-126 PDF Software Presentation
    • @inproceedings{Nair2023sep,
    • author = {Nair, Nithin Gopalakrishnan and Cherian, Anoop and Lohit, Suhas and Wang, Ye and Koike-Akino, Toshiaki and Patel, Vishal M. and Marks, Tim K.},
    • title = {{Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis}},
    • booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
    • year = 2023,
    • pages = {20850--20860},
    • month = oct,
    • publisher = {IEEE/CVF},
    • url = {https://www.merl.com/publications/TR2023-126}
    • }
  •  Ahmed, M.R., Koike-Akino, T., Parsons, K., Wang, Y., "Joint Software-Hardware Design for Green AI", International Midwest Symposium on Circuits and Systems (MWSCAS), DOI: 10.1109/​MWSCAS57524.2023.10405937, August 2023.
    BibTeX TR2023-096 PDF
    • @inproceedings{Ahmed2023aug,
    • author = {Ahmed, Md Rubel and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{Joint Software-Hardware Design for Green AI}},
    • booktitle = {International Midwest Symposium on Circuits and Systems (MWSCAS)},
    • year = 2023,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/MWSCAS57524.2023.10405937},
    • issn = {1558-3899},
    • isbn = {979-8-3503-0210-3},
    • url = {https://www.merl.com/publications/TR2023-096}
    • }
  •  Ahmed, M.R., Koike-Akino, T., Parsons, K., Wang, Y., "AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs", International Midwest Symposium on Circuits and Systems (MWSCAS), DOI: 10.1109/​MWSCAS57524.2023.10405914, August 2023.
    BibTeX TR2023-097 PDF
    • @inproceedings{Ahmed2023aug2,
    • author = {Ahmed, Md Rubel and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
    • title = {{AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs}},
    • booktitle = {International Midwest Symposium on Circuits and Systems (MWSCAS)},
    • year = 2023,
    • month = aug,
    • publisher = {IEEE},
    • doi = {10.1109/MWSCAS57524.2023.10405914},
    • issn = {1558-3899},
    • isbn = {979-8-3503-0210-3},
    • url = {https://www.merl.com/publications/TR2023-097}
    • }
  •  Salatiello, A., Wang, Y., Wichern, G., Koike-Akino, T., Yoshihiro, O., Kaneko, Y., Laughman, C.R., Chakrabarty, A., "Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?", ACM e-Energy Conference, DOI: 10.1145/​3599733.3600260, June 2023.
    BibTeX TR2023-072 PDF
    • @inproceedings{Salatiello2023jun,
    • author = {Salatiello, Alessandro and Wang, Ye and Wichern, Gordon and Koike-Akino, Toshiaki and Yoshihiro, Ohta and Kaneko, Yosuke and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?}},
    • booktitle = {ACM e-Energy Conference},
    • year = 2023,
    • month = jun,
    • doi = {10.1145/3599733.3600260},
    • url = {https://www.merl.com/publications/TR2023-072}
    • }
  •  Wang, X., Kim, K.J., Wang, Y., Koike-Akino, T., Parsons, K., "DeepEAD: Explainable Anomaly Detection from System Logs", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45041.2023.10279563, May 2023.
    BibTeX TR2023-050 PDF
    • @inproceedings{Wang2023may,
    • author = {Wang, Xinda and Kim, Kyeong Jin and Wang, Ye and Koike-Akino, Toshiaki and Parsons, Kieran},
    • title = {{DeepEAD: Explainable Anomaly Detection from System Logs}},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2023,
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICC45041.2023.10279563},
    • issn = {1938-1883},
    • isbn = {978-1-5386-7462-8},
    • url = {https://www.merl.com/publications/TR2023-050}
    • }
  •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., Koike-Akino, T., Wang, Y., "Tandem Neural Networks for Electric Machine Inverse Design", IEEE International Electric Machines and Drives Conference (IEMDC), DOI: 10.1109/​IEMDC55163.2023.10238921, May 2023, pp. 1-7.
    BibTeX TR2023-040 PDF
    • @inproceedings{Xu2023may2,
    • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
    • title = {{Tandem Neural Networks for Electric Machine Inverse Design}},
    • booktitle = {2023 IEEE International Electric Machines \& Drives Conference (IEMDC)},
    • year = 2023,
    • pages = {1--7},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/IEMDC55163.2023.10238921},
    • url = {https://www.merl.com/publications/TR2023-040}
    • }
  •  Koike-Akino, T., Jung, M., Chakrabarty, A., Wang, Y., Kojima, K., Brand, M., "Bayesian Optimization for Nested Adversarial Variational Autoencoder in Tunable Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_FS.2023.FW4C.7, May 2023.
    BibTeX TR2023-036 PDF
    • @inproceedings{Koike-Akino2023may,
    • author = {Koike-Akino, Toshiaki and Jung, Minwoo and Chakrabarty, Ankush and Wang, Ye and Kojima, Keisuke and Brand, Matthew},
    • title = {{Bayesian Optimization for Nested Adversarial Variational Autoencoder in Tunable Nanophotonic Device Design}},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2023,
    • month = may,
    • doi = {10.1364/CLEO_FS.2023.FW4C.7},
    • url = {https://www.merl.com/publications/TR2023-036}
    • }
  •  Vaca-Rubio, C., Wang, P., Koike-Akino, T., Wang, Y., Boufounos, P.T., Popovski, P., "mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49357.2023.10096474, May 2023, pp. 1-5.
    BibTeX TR2023-033 PDF Video
    • @inproceedings{Vaca-Rubio2023may,
    • author = {Vaca-Rubio, Cristian and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Boufounos, Petros T. and Popovski, Petar},
    • title = {{mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2023,
    • pages = {1--5},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49357.2023.10096474},
    • isbn = {978-1-7281-6327-7},
    • url = {https://www.merl.com/publications/TR2023-033}
    • }
  •  Kojima, K., Koike-Akino, T., Wang, Y., Jung Minwoo, , Brand, M., "Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder", SPIE Photonics West, DOI: 10.1117/​12.2650299, January 2023.
    BibTeX TR2023-004 PDF
    • @inproceedings{Kojima2023jan,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jung Minwoo and Brand, Matthew},
    • title = {{Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder}},
    • booktitle = {Proc. SPIE 12431, Photonic and Phononic Properties of Engineered Nanostructures XIII},
    • year = 2023,
    • month = jan,
    • publisher = {SPIE},
    • doi = {10.1117/12.2650299},
    • url = {https://www.merl.com/publications/TR2023-004}
    • }
  •  Singla, V., Aeron, S., Koike-Akino, T., Parsons, K., Brand, M., Wang, Y., "Learning with noisy labels using low-dimensional model trajectory", NeurIPS 2022 Workshop on Distribution Shifts (DistShift), December 2022.
    BibTeX TR2022-156 PDF
    • @inproceedings{Singla2022dec,
    • author = {Singla, Vasu and Aeron, Shuchin and Koike-Akino, Toshiaki and Parsons, Kieran and Brand, Matthew and Wang, Ye},
    • title = {{Learning with noisy labels using low-dimensional model trajectory}},
    • booktitle = {NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications},
    • year = 2022,
    • month = dec,
    • publisher = {OpenReview},
    • url = {https://www.merl.com/publications/TR2022-156}
    • }
  •  Yu, X., Smedemark-Margulies, N., Aeron, S., Koike-Akino, T., Moulin, P., Brand, M., Parsons, K., Wang, Y., "Improving Adversarial Robustness by Learning Shared Information", Pattern Recognition, DOI: 10.1016/​j.patcog.2022.109054, Vol. 134, pp. 109054, November 2022.
    BibTeX TR2022-141 PDF
    • @article{Yu2022nov,
    • author = {Yu, Xi and Smedemark-Margulies, Niklas and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Brand, Matthew and Parsons, Kieran and Wang, Ye},
    • title = {{Improving Adversarial Robustness by Learning Shared Information}},
    • journal = {Pattern Recognition},
    • year = 2022,
    • volume = 134,
    • pages = 109054,
    • month = nov,
    • doi = {10.1016/j.patcog.2022.109054},
    • issn = {0031-3203},
    • url = {https://www.merl.com/publications/TR2022-141}
    • }
  •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), DOI: 10.1109/​BHI56158.2022.9926814, September 2022.
    BibTeX TR2022-121 PDF Video Presentation
    • @inproceedings{Koike-Akino2022sep,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {{quEEGNet: Quantum AI for Biosignal Processing}},
    • booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
    • year = 2022,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/BHI56158.2022.9926814},
    • issn = {2641-3604},
    • isbn = {978-1-6654-8791-7},
    • url = {https://www.merl.com/publications/TR2022-121}
    • }
  •  Liu, Bryan, Koike-Akino, Toshiaki, Wang, Ye, Kim, Kyeong Jin, Brand, Matthew, Aeron, Shuchin, Parsons, Kieran, "Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning", Tech. Rep. TR2022-081, Mitsubishi Electric Research Laboratories, Cambridge, MA, August 2022.
    BibTeX TR2022-081 PDF
    • @techreport{MERL_TR2022-081,
    • author = {Liu, Bryan; Koike-Akino, Toshiaki; Wang, Ye; Kim, Kyeong Jin; Brand, Matthew; Aeron, Shuchin; Parsons, Kieran},
    • title = {Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning},
    • institution = {MERL - Mitsubishi Electric Research Laboratories},
    • address = {Cambridge, MA 02139},
    • number = {TR2022-081},
    • month = aug,
    • year = 2022,
    • url = {https://www.merl.com/publications/TR2022-081/}
    • }
  •  Kojima, K., Jung, M., Koike-Akino, T., Wang, Y., Brand, M., Parsons, K., "Deep Transfer Learning for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO) Pacific Rim, July 2022.
    BibTeX TR2022-107 PDF
    • @inproceedings{Kojima2022jul,
    • author = {Kojima, Keisuke and Jung, Minwoo and Koike-Akino, Toshiaki and Wang, Ye and Brand, Matthew and Parsons, Kieran},
    • title = {{Deep Transfer Learning for Nanophotonic Device Design}},
    • booktitle = {Proceedings of the 2022 Conference on Lasers and Electro-Optics Pacific Rim},
    • year = 2022,
    • month = jul,
    • publisher = {Optica Publishing Group},
    • url = {https://www.merl.com/publications/TR2022-107}
    • }
  •  Yu, J., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., Buehrer, R.M., "Multi-Band Wi-Fi Sensing with Matched Feature Granularity", IEEE Internet of Things Journal, DOI: 10.1109/​JIOT.2022.3190826, July 2022.
    BibTeX TR2022-105 PDF
    • @article{Yu2022jul,
    • author = {Yu, Jianyuan and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Buehrer, R. Michael},
    • title = {{Multi-Band Wi-Fi Sensing with Matched Feature Granularity}},
    • journal = {IEEE Internet of Things Journal},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/JIOT.2022.3190826},
    • issn = {2327-4662},
    • url = {https://www.merl.com/publications/TR2022-105}
    • }
  •  Koike-Akino, T., Wang, Y., "AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/​ISIT50566.2022.9834769, July 2022.
    BibTeX TR2022-071 PDF Video Presentation
    • @inproceedings{Koike-Akino2022jul,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {{AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing}},
    • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/ISIT50566.2022.9834769},
    • issn = {2157-8117},
    • isbn = {978-1-6654-2159-1},
    • url = {https://www.merl.com/publications/TR2022-071}
    • }
  •  Xia, H., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., Ding, Z., "Adversarial Bi-Regressor Network for Domain Adaptive Regression", International Joint Conference on Artificial Intelligence (IJCAI), Lud De Raedt, Eds., DOI: 10.24963/​ijcai.2022/​501, July 2022, pp. 3608-3614.
    BibTeX TR2022-103 PDF
    • @inproceedings{Xia2022jul,
    • author = {Xia, Haifeng and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Ding, Zhengming},
    • title = {{Adversarial Bi-Regressor Network for Domain Adaptive Regression}},
    • booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
    • year = 2022,
    • editor = {Lud De Raedt},
    • pages = {3608--3614},
    • month = jul,
    • publisher = {IJCAI},
    • doi = {10.24963/ijcai.2022/501},
    • url = {https://www.merl.com/publications/TR2022-103}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871984, July 2022.
    BibTeX TR2022-097 PDF
    • @inproceedings{Demir2022jul,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {{EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals}},
    • booktitle = {International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871984},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-097}
    • }