Publications

126 / 3,739 publications found.


  •  Chen, X., Wang, Y., Brand, M., Wang, P., Liu, J., Koike-Akino, T., "Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
    BibTeX TR2024-157 PDF
    • @inproceedings{Chen2024dec,
    • author = {Chen, Xiangyu and Wang, Ye and Brand, Matthew and Wang, Pu and Liu, Jing and Koike-Akino, Toshiaki}},
    • title = {Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2024,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2024-157}
    • }
  •  Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models", British Machine Vision Conference (BMVC), November 2024.
    BibTeX TR2024-156 PDF
    • @inproceedings{Chen2024nov,
    • 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 Large Foundation Models},
    • booktitle = {British Machine Vision Conference (BMVC)},
    • year = 2024,
    • month = nov,
    • url = {https://www.merl.com/publications/TR2024-156}
    • }
  •  Rashid, M.R.U., Liu, J., Koike-Akino, T., Mehnaz, S., Wang, Y., "Forget to Flourish: Leveraging Model-Unlearning on Pretrained Language Models for Privacy Leakage," Tech. Rep., MS Thesis at Penn State University, November 2024.
    BibTeX
    • @techreport{Rashid2024nov,
    • author = {Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Mehnaz, Shagufta and Wang, Ye}},
    • title = {Forget to Flourish: Leveraging Model-Unlearning on Pretrained Language Models for Privacy Leakage},
    • institution = {MS Thesis at Penn State University},
    • year = 2024,
    • month = nov
    • }
  •  Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", arXiv, November 2024.
    BibTeX arXiv
    • @article{Wang2024nov,
    • author = {Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
    • title = {Quantum Diffusion Models for Few-Shot Learning},
    • journal = {arXiv},
    • year = 2024,
    • month = nov,
    • url = {https://arxiv.org/abs/2411.04217}
    • }
  •  Li, Z., Lowy, A., Liu, J., Koike-Akino, T., Parsons, K., Malin, B., Wang, Y., "Analyzing Inference Privacy Risks Through Gradients In Machine Learning", ACM Conference on Computer and Communications Security (CCS), October 2024.
    BibTeX TR2024-141 PDF
    • @inproceedings{Li2024oct,
    • author = {Li, Zhuohang and Lowy, Andrew and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Malin, Bradley and Wang, Ye}},
    • title = {Analyzing Inference Privacy Risks Through Gradients In Machine Learning},
    • booktitle = {ACM Conference on Computer and Communications Security (CCS)},
    • year = 2024,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2024-141}
    • }
  •  Sanz-Gorrachategui, I., Wang, Y., Guillen-Asenio, A., Bono-Nuez, A., Martín-del-Brío, B., Orlik, P.V., Pastor-Flores, P., "Remaining Useful Life Estimation of Used Li-Ion Cells with Deep Learning Algorithms without First Life Information", IEEE Access, October 2024.
    BibTeX TR2024-155 PDF
    • @article{Sanz-Gorrachategui2024oct,
    • author = {Sanz-Gorrachategui, Ivan and Wang, Ye and Guillen-Asenio, Alejandro and Bono-Nuez, Antonio and Martín-del-Brío, Bonifacio and Orlik, Philip V. and Pastor-Flores, Pablo}},
    • title = {Remaining Useful Life Estimation of Used Li-Ion Cells with Deep Learning Algorithms without First Life Information},
    • journal = {IEEE Access},
    • year = 2024,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2024-155}
    • }
  •  Rashid, M.R.U., Liu, J., Koike-Akino, T., Mehnaz, S., Wang, Y., "Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage", arXiv, August 2024.
    BibTeX arXiv
    • @article{Rashid2024aug,
    • author = {Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Mehnaz, Shagufta and Wang, Ye}},
    • title = {Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage},
    • journal = {arXiv},
    • year = 2024,
    • month = aug,
    • url = {https://arxiv.org/abs/2408.17354}
    • }
  •  Chakrabarty, A., Vanfretti, L., Bortoff, S.A., Deshpande, V.M., Wang, Y., Paulson, J.A., Zhan, S., Laughman, C.R., "Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks", IEEE Conference on Control Technology and Applications (CCTA) 2024, DOI: 10.1109/​CCTA60707.2024.10666585, August 2024.
    BibTeX TR2024-113 PDF
    • @inproceedings{Chakrabarty2024aug,
    • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Bortoff, Scott A. and Deshpande, Vedang M. and Wang, Ye and Paulson, Joel A. and Zhan, Sicheng and Laughman, Christopher R.}},
    • title = {Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA) 2024},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CCTA60707.2024.10666585},
    • url = {https://www.merl.com/publications/TR2024-113}
    • }
  •  Sorouifar, F., Paulson, J.A., Wang, Y., Quirynen, R., Laughman, C.R., Chakrabarty, A., "Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA60707.2024.10666537, August 2024.
    BibTeX TR2024-110 PDF
    • @inproceedings{Sorouifar2024aug,
    • author = {Sorouifar, Farshud and Paulson, Joel A. and Wang, Ye and Quirynen, Rien and Laughman, Christopher R. and Chakrabarty, Ankush}},
    • title = {Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems},
    • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
    • year = 2024,
    • month = aug,
    • doi = {10.1109/CCTA60707.2024.10666537},
    • url = {https://www.merl.com/publications/TR2024-110}
    • }
  •  Liu, J., Lowy, A., Koike-Akino, T., Parsons, K., Wang, Y., "Efficient Differentially Private Fine-Tuning of Diffusion Models", International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety), July 2024.
    BibTeX TR2024-104 PDF
    • @inproceedings{Liu2024jul,
    • author = {Liu, Jing and Lowy, Andrew and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye}},
    • title = {Efficient Differentially Private Fine-Tuning of Diffusion Models},
    • booktitle = {International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety)},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-104}
    • }
  •  Bimbraw, K., Liu, J., Wang, Y., Koike-Akino, T., "Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals", International Conference of the IEEE Engineering in Medicine and Biology Society, July 2024.
    BibTeX TR2024-103 PDF
    • @inproceedings{Bimbraw2024jul3,
    • author = {Bimbraw, Keshav and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki}},
    • title = {Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals},
    • booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society},
    • year = 2024,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2024-103}
    • }
  •  Hase, R., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., "Variational Randomized Smoothing for Sample-Wise Adversarial Robustness", arXiv, July 2024.
    BibTeX arXiv
    • @article{Hase2024jul,
    • author = {Hase, Ryo and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran}},
    • title = {Variational Randomized Smoothing for Sample-Wise Adversarial Robustness},
    • journal = {arXiv},
    • year = 2024,
    • month = jul,
    • url = {https://arxiv.org/abs/2407.11844}
    • }
  •  Bimbraw, K., Wang, Y., Liu, J., Koike-Akino, T., "GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM", arXiv, July 2024.
    BibTeX arXiv
    • @article{Bimbraw2024jul2,
    • author = {Bimbraw, Keshav and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
    • title = {GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM},
    • journal = {arXiv},
    • year = 2024,
    • month = jul,
    • url = {https://arxiv.org/abs/2407.10870}
    • }
  •  Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPRW63382.2024.00804, June 2024, pp. 8050-8055.
    BibTeX TR2024-062 PDF
    • @inproceedings{Chen2024jun,
    • 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 for Large Vision Models},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2024,
    • pages = {8050--8055},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/CVPRW63382.2024.00804},
    • url = {https://www.merl.com/publications/TR2024-062}
    • }
  •  Ni, H., Egger, B., Lohit, S., Cherian, A., Wang, Y., Koike-Akino, T., Huang, S.X., Marks, T.K., "TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024, pp. 9015-9025.
    BibTeX TR2024-059 PDF Video Software Presentation
    • @inproceedings{Ni2024jun,
    • author = {Ni, Haomiao and Egger, Bernhard and Lohit, Suhas and Cherian, Anoop and Wang, Ye and Koike-Akino, Toshiaki and Huang, Sharon X. and Marks, Tim K.},
    • title = {TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2024,
    • pages = {9015--9025},
    • month = jun,
    • url = {https://www.merl.com/publications/TR2024-059}
    • }
  •  Vaca-Rubio, C., Wang, P., Koike-Akino, T., Wang, Y., Boufounos, P.T., Popovski, P., "Object Trajectory Estimation with Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi", IEEE Journal of Selected Topics in Signal Processing, DOI: 10.1109/​JSTSP.2024.3388930, April 2024.
    BibTeX TR2024-044 PDF
    • @article{Vaca-Rubio2024apr,
    • author = {Vaca-Rubio, Cristian and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Boufounos, Petros T. and Popovski, Petar},
    • title = {Object Trajectory Estimation with Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi},
    • journal = {IEEE Journal of Selected Topics in Signal Processing},
    • year = 2024,
    • month = apr,
    • doi = {10.1109/JSTSP.2024.3388930},
    • issn = {1941-0484},
    • url = {https://www.merl.com/publications/TR2024-044}
    • }
  •  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}
    • }
  •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., Bicer, Y., Erdogmus, D., "Stabilizing Subject Transfer in EEG Classification with Divergence Estimation", arXiv, October 2023.
    BibTeX arXiv
    • @article{Smedemark-Margulies2023oct,
    • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran and Bicer, Yunus and Erdogmus, Deniz},
    • title = {Stabilizing Subject Transfer in EEG Classification with Divergence Estimation},
    • journal = {arXiv},
    • year = 2023,
    • month = oct,
    • url = {https://arxiv.org/abs/2310.08762}
    • }
  •  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}
    • }