Publications

340 / 3,928 publications found.


  •  Fujihashi, T., Kuwabara, A., Koike-Akino, T., "QKAN-GS: Quantum-Empowered 3D Gaussian Splatting", ACM Multimedia Workshop, October 2025.
    BibTeX TR2025-156 PDF
    • @inproceedings{Fujihashi2025oct,
    • author = {Fujihashi, Takuya and Kuwabara, Akihiro and Koike-Akino, Toshiaki},
    • title = {{QKAN-GS: Quantum-Empowered 3D Gaussian Splatting}},
    • booktitle = {ACM Multimedia Workshop},
    • year = 2025,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2025-156}
    • }
  •  Kuwabara, A., Kirihara, H., Kato, S., Koike-Akino, T., Fujihashi, T., "L-GGSC: Learnable Graph-based Gaussian Splatting Compression", IEEE International Conference on Computer Vision Workshops (ICCV), October 2025.
    BibTeX TR2025-148 PDF
    • @inproceedings{Kuwabara2025oct,
    • author = {Kuwabara, Akihiro and Kirihara, Hinata and Kato, Sorachi and Koike-Akino, Toshiaki and Fujihashi, Takuya},
    • title = {{L-GGSC: Learnable Graph-based Gaussian Splatting Compression}},
    • booktitle = {IEEE International Conference on Computer Vision Workshops (ICCV)},
    • year = 2025,
    • month = oct,
    • url = {https://www.merl.com/publications/TR2025-148}
    • }
  •  Kuwabara, A., Kato, S., Koike-Akino, T., Fujihashi, T., "SCC-Aided INR for High-Frequency Detail Preservation in LiDAR", IEEE Open Journal of the Communications Society (OJCOMS), September 2025.
    BibTeX TR2025-129 PDF
    • @article{Kuwabara2025sep,
    • author = {Kuwabara, Akihiro and Kato, Sorachi and Koike-Akino, Toshiaki and Fujihashi, Takuya},
    • title = {{SCC-Aided INR for High-Frequency Detail Preservation in LiDAR}},
    • journal = {IEEE Open Journal of the Communications Society (OJCOMS)},
    • year = 2025,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2025-129}
    • }
  •  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 Product QA Agents", ACL 2025 workshop on Generation, Evaluation & Metrics (GEM), Ofir Arviv, Miruna Clinciu, Kaustubh Dhole, Rotem Dror, Sebastian Gehrmann, Eliya Habba, Itay Itzhak, Simon Mille, Yotam Perlitz, Enrico Santus, João Sedoc, Michal Shmueli Scheuer, Gabriel Stanovsky, Oyvind Tafjord, Eds., July 2025, pp. 705-727.
    BibTeX TR2025-114 PDF
    • @inproceedings{Lewis2025jul2,
    • 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 Product QA Agents}},
    • booktitle = {ACL 2025 workshop on Generation, Evaluation \& Metrics (GEM)},
    • year = 2025,
    • editor = {Ofir Arviv, Miruna Clinciu, Kaustubh Dhole, Rotem Dror, Sebastian Gehrmann, Eliya Habba, Itay Itzhak, Simon Mille, Yotam Perlitz, Enrico Santus, João Sedoc, Michal Shmueli Scheuer, Gabriel Stanovsky, Oyvind Tafjord},
    • pages = {705--727},
    • month = jul,
    • publisher = {Association for Computational Linguistics},
    • isbn = {979-8-89176-261-9},
    • url = {https://www.merl.com/publications/TR2025-114}
    • }
  •  Kojima, K., Koike-Akino, T., "Photonics × Machine Learning", IEEE Photonics Society Summer Topicals Meeting, DOI: 10.1109/​SUM65312.2025.11121763, July 2025.
    BibTeX TR2025-110 PDF
    • @inproceedings{Kojima2025jul,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki},
    • title = {{Photonics × Machine Learning}},
    • booktitle = {IEEE Photonics Society Summer Topicals Meeting},
    • year = 2025,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/SUM65312.2025.11121763},
    • issn = {2376-8614},
    • isbn = {979-8-3315-0903-3},
    • url = {https://www.merl.com/publications/TR2025-110}
    • }
  •  Liu, J., Koike-Akino, T., Wang, Y., Mansour, H., Brand, M., "AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent", International Conference on Machine Learning (ICML) workshop, July 2025.
    BibTeX TR2025-111 PDF Presentation
    • @inproceedings{Liu2025jul,
    • author = {{{Liu, Jing and Koike-Akino, Toshiaki and Wang, Ye and Mansour, Hassan and Brand, Matthew}}},
    • title = {{{AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent}}},
    • booktitle = {International Conference on Machine Learning (ICML) workshop},
    • year = 2025,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2025-111}
    • }
  •  Koike-Akino, T., Liu, J., Wang, Y., "u-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts", International Conference on Machine Learning (ICML) Workshop, July 2025.
    BibTeX TR2025-112 PDF Presentation
    • @inproceedings{Koike-Akino2025jul,
    • author = {{{Koike-Akino, Toshiaki and Liu, Jing and Wang, Ye}}},
    • title = {{{u-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts}}},
    • booktitle = {International Conference on Machine Learning (ICML) Workshop},
    • year = 2025,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2025-112}
    • }
  •  Liu, J., Koike-Akino, T., Wang, P., Brand, M., Parsons, K., Wang, Y., "LoDA: Low-Dimensional Adaptation of Large Language Models" in Enhancing LLM Performance Efficacy, Fine-Tuning, and Inference Techniques, Passban, P. and Way, A. and Rezagholizadeh, M., Eds., DOI: 10.1007/​978-3-031-85747-8_5, pp. 67-81, Springer, July 2025.
    BibTeX TR2025-130 PDF
    • @incollection{Liu2025sep,
    • author = {Liu, Jing and Koike-Akino, Toshiaki and Wang, Pu and Brand, Matthew and Parsons, Kieran and Wang, Ye},
    • title = {{LoDA: Low-Dimensional Adaptation of Large Language Models}},
    • booktitle = {Enhancing LLM Performance Efficacy, Fine-Tuning, and Inference Techniques},
    • year = 2025,
    • editor = {Passban, P. and Way, A. and Rezagholizadeh, M.},
    • pages = {67--81},
    • month = sep,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-85747-8_5},
    • isbn = {978-3-031-85746-1},
    • url = {https://www.merl.com/publications/TR2025-130}
    • }
  •  Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", ICAD, DOI: 10.1109/​ICAD65464.2025.11114033, June 2025.
    BibTeX TR2025-095 PDF Presentation
    • @inproceedings{Wang2025jun2,
    • author = {{{Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}}},
    • title = {{{Quantum Diffusion Models for Few-Shot Learning}}},
    • booktitle = {ICAD},
    • year = 2025,
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.1109/ICAD65464.2025.11114033},
    • isbn = {979-8-3315-2472-2},
    • url = {https://www.merl.com/publications/TR2025-095}
    • }
  •  Sun, S., Wang, Y., Koike-Akino, T., Yamamoto, T., Sakamoto, Y., Wang, B., "Image-based Deep Learning Models for Electric Motors", International Conference on the Computation of Electromagnetic Fields (COMPUMAG), June 2025.
    BibTeX TR2025-088 PDF
    • @inproceedings{Sun2025jun,
    • author = {Sun, Siyuan and Wang, Ye and Koike-Akino, Toshiaki and Yamamoto, Tatsuya and Sakamoto, Yusuke and Wang, Bingnan},
    • title = {{Image-based Deep Learning Models for Electric Motors}},
    • booktitle = {International Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-088}
    • }
  •  Koike-Akino, T., Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., "LatentLLM: Attention-Aware Joint Tensor Compression", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, June 2025.
    BibTeX TR2025-075 PDF Presentation
    • @inproceedings{Koike-Akino2025jun,
    • 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}}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-075}
    • }
  •  Chen, X., Liu, J., Wang, Y., Brand, M., Wang, P., Koike-Akino, T., "TuneComp: Joint Fine-Tuning and Compression for Large Foundation Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) workshop on Efficient and On-Device Generation, June 2025.
    BibTeX TR2025-079 PDF Presentation
    • @inproceedings{Chen2025jun,
    • 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}}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) workshop on Efficient and On-Device Generation},
    • year = 2025,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2025-079}
    • }
  •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Rateless Deep Joint Source Channel Coding for 3D Point Cloud", IEEE Access, DOI: 10.1109/​ACCESS.2025.3546514, Vol. 13, pp. 39585-39599, 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,
    • volume = 13,
    • pages = {39585--39599},
    • month = jun,
    • doi = {10.1109/ACCESS.2025.3546514},
    • issn = {2169-3536},
    • 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}
    • }
  •  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), DOI: 10.1109/​IEMDC60492.2025.11061129, May 2025, pp. 782-788.
    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 = {2025 IEEE International Electric Machines & Drives Conference (IEMDC)},
    • year = 2025,
    • pages = {782--788},
    • month = may,
    • doi = {10.1109/IEMDC60492.2025.11061129},
    • 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), DOI: 10.1109/​ICASSP49660.2025.10889300, 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,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP49660.2025.10889300},
    • issn = {2379-190X},
    • isbn = {979-8-3503-6874-1},
    • 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}
    • }
  •  Kato, S., Wang, P., Koike-Akino, T., Fujihashi, T., Mansour, H., Boufounos, P.T., "Multi-Band Wi-Fi Neural Dynamic Fusion", IEEE Transactions on Wireless Communications, DOI: 10.1109/​TWC.2025.3538463, Vol. 24, No. 5, pp. 3698-3714, February 2025.
    BibTeX TR2025-115 PDF
    • @article{Kato2025jul,
    • author = {Kato, Sorachi and Wang, Pu and Koike-Akino, Toshiaki and Fujihashi, Takuya and Mansour, Hassan and Boufounos, Petros T.},
    • title = {{Multi-Band Wi-Fi Neural Dynamic Fusion}},
    • journal = {IEEE Transactions on Wireless Communications},
    • year = 2025,
    • volume = 24,
    • number = 5,
    • pages = {3698--3714},
    • month = jul,
    • doi = {10.1109/TWC.2025.3538463},
    • issn = {1558-2248},
    • url = {https://www.merl.com/publications/TR2025-115}
    • }
  •  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}
    • }