- Fujihashi, T., Koike-Akino, T., Watanabe, T., "Rateless Deep Joint Source Channel Coding for 3D Point Cloud", IEEE Access, June 2025.
BibTeX TR2025-069 PDF- @article{Fujihashi2025jun,
- author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
- title = {{Rateless Deep Joint Source Channel Coding for 3D Point Cloud}},
- journal = {IEEE Access},
- year = 2025,
- month = jun,
- url = {https://www.merl.com/publications/TR2025-069}
- }
- Park, Y.-J., Germain, F.G., Liu, J., Wang, Y., Koike-Akino, T., Wichern, G., Azizan, N., Laughman, C.R., Chakrabarty, A., "Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models", arXiv, May 2025.
BibTeX arXiv- @article{Park2025may,
- author = {Park, Young-Jin and Germain, François G and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Wichern, Gordon and Azizan, Navid and Laughman, Christopher R. and Chakrabarty, Ankush},
- title = {{Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models}},
- journal = {arXiv},
- year = 2025,
- month = may,
- url = {https://arxiv.org/abs/2506.00630}
- }
- Chen, X., Liu, J., Wang, Y., Brand, M., Wang, P., Koike-Akino, T., "TuneComp: Joint Fine-tuning and Compression for Large Foundation Models", arXiv, May 2025.
BibTeX arXiv- @article{Chen2025may2,
- author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Brand, Matthew and Wang, Pu and Koike-Akino, Toshiaki},
- title = {{TuneComp: Joint Fine-tuning and Compression for Large Foundation Models}},
- journal = {arXiv},
- year = 2025,
- month = may,
- url = {https://arxiv.org/abs/2505.21835}
- }
- Koike-Akino, T., Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., "LatentLLM: Attention-Aware Joint Tensor Compression", arXiv, May 2025.
BibTeX arXiv- @article{Koike-Akino2025may,
- author = {Koike-Akino, Toshiaki and Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew},
- title = {{LatentLLM: Attention-Aware Joint Tensor Compression}},
- journal = {arXiv},
- year = 2025,
- month = may,
- url = {https://www.arxiv.org/abs/2505.18413}
- }
- Sun, S., Wang, Y., Koike-Akino, T., Yamamoto, T., Sakamoto, Y., Wang, B., "Electric Motor Cogging Torque Prediction with Vision Transformer Models", IEEE International Electric Machines and Drives Conference (IEMDC), May 2025.
BibTeX TR2025-059 PDF- @inproceedings{Sun2025may,
- author = {Sun, Siyuan and Wang, Ye and Koike-Akino, Toshiaki and Yamamoto, Tatsuya and Sakamoto, Yusuke and Wang, Bingnan},
- title = {{Electric Motor Cogging Torque Prediction with Vision Transformer Models}},
- booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
- year = 2025,
- month = may,
- url = {https://www.merl.com/publications/TR2025-059}
- }
- Koike-Akino, T., Tonin, F., Wu, Y., Wu, F.Z., Candogan, L.N., Cevher, V., "Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning", International Conference on Learning Representations (ICLR), April 2025.
BibTeX TR2025-051 PDF- @inproceedings{Koike-Akino2025apr,
- author = {Koike-Akino, Toshiaki and Tonin,Francesco and Wu,Yongtao and Wu,Frank Zhengqing and Candogan,Leyla Naz and Cevher, Volkan},
- title = {{Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning}},
- booktitle = {International Conference on Learning Representations (ICLR)},
- year = 2025,
- month = apr,
- url = {https://www.merl.com/publications/TR2025-051}
- }
- Attiah, K., Wang, P., Mansour, H., Koike-Akino, T., Boufounos, P.T., "Enabling DMG Wi-Fi Sensing in Data Transmission Intervals by Exploiting Beam Training Codebook", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2025.
BibTeX TR2025-026 PDF- @inproceedings{Attiah2025mar,
- author = {Attiah, Kareem and Wang, Pu and Mansour, Hassan and Koike-Akino, Toshiaki and Boufounos, Petros T.},
- title = {{Enabling DMG Wi-Fi Sensing in Data Transmission Intervals by Exploiting Beam Training Codebook}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2025,
- month = mar,
- url = {https://www.merl.com/publications/TR2025-026}
- }
- Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., Bicer, Y., Erdogmus, D., "Improving Subject Transfer in EEG Classification with Divergence Estimation", Journal of Neural Engineering, DOI: 10.1088/1741-2552/ad9777, Vol. 21, No. 6, April 2025.
BibTeX TR2025-044 PDF Software- @article{Smedemark-Margulies2025apr,
- author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran and Bicer, Yunus and Erdogmus, Deniz},
- title = {{Improving Subject Transfer in EEG Classification with Divergence Estimation}},
- journal = {Journal of Neural Engineering},
- year = 2025,
- volume = 21,
- number = 6,
- month = apr,
- doi = {10.1088/1741-2552/ad9777},
- url = {https://www.merl.com/publications/TR2025-044}
- }
- Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", AAAI Conference on Artificial Intelligence, March 2025.
BibTeX TR2025-025 PDF- @inproceedings{Wang2025mar,
- author = {Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki},
- title = {{Quantum Diffusion Models for Few-Shot Learning}},
- booktitle = {AAAI Conference on Artificial Intelligence},
- year = 2025,
- month = mar,
- url = {https://www.merl.com/publications/TR2025-025}
- }
- Fujihashi, T., Koike-Akino, T., "Quantum Implicit Neural Compression", AAAI Conference on Artificial Intelligence, March 2025.
BibTeX TR2025-024 PDF- @inproceedings{Fujihashi2025mar,
- author = {Fujihashi, Takuya and Koike-Akino, Toshiaki},
- title = {{Quantum Implicit Neural Compression}},
- booktitle = {AAAI Conference on Artificial Intelligence},
- year = 2025,
- month = mar,
- url = {https://www.merl.com/publications/TR2025-024}
- }
- Rashid, M.R.U., Liu, J., Koike-Akino, T., Wang, Y., Mehnaz, S., "Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage", AAAI Conference on Artificial Intelligence, Toby Walsh, Julie Shah, Zico Kolter, Eds., DOI: 10.1609/aaai.v39i19.34218, February 2025, pp. 20139-20147.
BibTeX TR2025-017 PDF- @inproceedings{Rashid2025feb,
- author = {Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Wang, Ye and Mehnaz, Shagufta},
- title = {{Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage}},
- booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
- year = 2025,
- editor = {Toby Walsh, Julie Shah, Zico Kolter},
- pages = {20139--20147},
- month = feb,
- publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
- doi = {10.1609/aaai.v39i19.34218},
- issn = {2374-3468},
- isbn = {978-1-57735-897-8},
- url = {https://www.merl.com/publications/TR2025-017}
- }
- Lewis, A., White, M., Liu, J., Koike-Akino, T., Parsons, K., Wang, Y., "Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents", arXiv, February 2025.
BibTeX arXiv- @article{Lewis2025feb,
- author = {Lewis, Ashley and White, Michael and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
- title = {{Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents}},
- journal = {arXiv},
- year = 2025,
- month = feb,
- url = {https://www.arxiv.org/abs/2502.19545}
- }
- Koike-Akino, T., Kojima, K., Taguchi, M., "Enhancement of data reuploading for photonic neural computing without nonliear optical components", SPIE Photonics West, DOI: 10.1117/12.3042431, January 2025.
BibTeX TR2025-013 PDF- @inproceedings{Koike-Akino2025jan,
- author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Taguchi, Mari},
- title = {{Enhancement of data reuploading for photonic neural computing without nonliear optical components}},
- booktitle = {SPIE Photonics West},
- year = 2025,
- month = jan,
- publisher = {SPIE},
- doi = {10.1117/12.3042431},
- url = {https://www.merl.com/publications/TR2025-013}
- }
- Bimbraw, K., Wang, Y., Liu, J., Koike-Akino, T., "GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
BibTeX TR2024-175 PDF Presentation- @inproceedings{Bimbraw2024dec,
- 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}},
- booktitle = {Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond Workshop at Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- url = {https://www.merl.com/publications/TR2024-175}
- }
- 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 Presentation- @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 = {Workshop on Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning at Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- url = {https://www.merl.com/publications/TR2024-157}
- }
- Fujihashi, T., Kato, S., Koike-Akino, T., "FV-NeRV: Neural Compression for Free Viewpoint Videos", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
BibTeX TR2024-176 PDF- @inproceedings{Fujihashi2024dec,
- author = {Fujihashi, Takuya and Kato, Sorachi and Koike-Akino, Toshiaki},
- title = {{FV-NeRV: Neural Compression for Free Viewpoint Videos}},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- url = {https://www.merl.com/publications/TR2024-176}
- }
- Park, Y.-J., Germain, F.G., Liu, J., Wang, Y., Koike-Akino, T., Wichern, G., Christopher R., , Azizan, N., Laughman, C.A., "Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models The Answer?", Advances in Neural Information Processing Systems (NeurIPS), December 2024.
BibTeX TR2025-001 PDF- @inproceedings{Park2024dec,
- author = {Park, Young-Jin and Germain, François G and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Wichern, Gordon and Christopher R. and Azizan, Navid and Laughman, Chakrabarty, Ankush},
- title = {{Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models The Answer?}},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- url = {https://www.merl.com/publications/TR2025-001}
- }
- Liu, J., Wang, Y., Koike-Akino, T., Nakai, T., Oonishi, K., Higashi, T., "MEL-PETs Defense for the NeurIPS 2024 LLM Privacy Challenge Blue Team Track", LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS) 2024, December 2024.
BibTeX TR2024-166 PDF Video Presentation- @inproceedings{Liu2024dec,
- author = {Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki and Nakai, Tsunato and Oonishi, Kento and Higashi, Takuya},
- title = {{MEL-PETs Defense for the NeurIPS 2024 LLM Privacy Challenge Blue Team Track}},
- booktitle = {LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS) 2024},
- year = 2024,
- month = dec,
- url = {https://www.merl.com/publications/TR2024-166}
- }
- Wang, Y., Nakai, T., Liu, J., Koike-Akino, T., Oonishi, K., Higashi, T., "MEL-PETs Joint-Context Attack for the NeurIPS 2024 LLM Privacy Challenge Red Team Track", LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS), December 2024.
BibTeX TR2024-165 PDF Video Presentation- @inproceedings{Wang2024dec2,
- author = {Wang, Ye and Nakai, Tsunato and Liu, Jing and Koike-Akino, Toshiaki and Oonishi, Kento and Higashi, Takuya},
- title = {{MEL-PETs Joint-Context Attack for the NeurIPS 2024 LLM Privacy Challenge Red Team Track}},
- booktitle = {LLM Privacy Challenge at Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- url = {https://www.merl.com/publications/TR2024-165}
- }
- 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", Red Teaming GenAI Workshop at Neural Information Processing Systems (NeurIPS), December 2024.
BibTeX TR2024-168 PDF- @inproceedings{Rashid2024dec,
- 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}},
- booktitle = {Red Teaming GenAI Workshop at Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- publisher = {OpenReview},
- url = {https://www.merl.com/publications/TR2024-168}
- }
- Ryo, H., Rashid, M.R.U., Lewis, A., Liu, J., Koike-Akino, T., Parsons, K., Wang, Y., "Smoothed Embeddings for Robust Language Models", Safe Generative AI Workshop at Advances in Neural Information Processing Systems (NeurIPS), December 2024.
BibTeX TR2024-170 PDF Presentation- @inproceedings{Ryo2024dec,
- author = {Ryo, Hase and Rashid, Md Rafi Ur and Lewis, Ashley and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
- title = {{Smoothed Embeddings for Robust Language Models}},
- booktitle = {Safe Generative AI Workshop at Advances in Neural Information Processing Systems (NeurIPS)},
- year = 2024,
- month = dec,
- publisher = {OpenReview},
- url = {https://www.merl.com/publications/TR2024-170}
- }
- Rapp, J., Mansour, H., Boufounos, P.T., Koike-Akino, T., Parsons, K., "Multi-layered Surface Estimation for Low-cost Optical Coherence Tomography", IEEE Transactions on Computational Imaging, DOI: 10.1109/TCI.2024.3497602, Vol. 10, pp. 1706-1721, December 2024.
BibTeX TR2024-164 PDF- @article{Rapp2024dec,
- author = {Rapp, Joshua and Mansour, Hassan and Boufounos, Petros T. and Koike-Akino, Toshiaki and Parsons, Kieran},
- title = {{Multi-layered Surface Estimation for Low-cost Optical Coherence Tomography}},
- journal = {IEEE Transactions on Computational Imaging},
- year = 2024,
- volume = 10,
- pages = {1706--1721},
- month = dec,
- doi = {10.1109/TCI.2024.3497602},
- url = {https://www.merl.com/publications/TR2024-164}
- }
- 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 Presentation- @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,
- publisher = {British Machine Vision Association},
- url = {https://www.merl.com/publications/TR2024-156}
- }
- 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), DOI: 10.1145/3658644.3690304, October 2024, pp. 3466-3480.
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 = {Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security},
- year = 2024,
- pages = {3466--3480},
- month = oct,
- publisher = {Association for Computing Machinery},
- doi = {10.1145/3658644.3690304},
- isbn = {9798400706363},
- url = {https://www.merl.com/publications/TR2024-141}
- }