Publications

23 / 3,799 publications found.


  •  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}
    • }
  •  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, February 2025.
    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 = {AAAI Conference on Artificial Intelligence},
    • year = 2025,
    • month = feb,
    • 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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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 Presentation
    • @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, DOI: 10.1109/​EMBC53108.2024.10782851, 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,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC53108.2024.10782851},
    • issn = {2694-0604},
    • isbn = {979-8-3503-7149-9},
    • 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 Presentation
    • @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}
    • }
  •  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}
    • }
  •  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}
    • }
  •  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}
    • }