Publications

156 / 3,987 publications found.


  •  Khattar, V., Rashid, M.R.U., Choudhury, M., Liu, J., Koike-Akino, T., Jin, M., Wang, Y., "Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities", arXiv, March 2026.
    BibTeX arXiv
    • @article{Khattar2026mar,
    • author = {Khattar, Vanshaj and Rashid, Md Rafi Ur and Choudhury, Moumita and Liu, Jing and Koike-Akino, Toshiaki and Jin, Ming and Wang, Ye},
    • title = {{Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.15417}
    • }
  •  Wang, Y., Liu, J., Koike-Akino, T., "Directional Embedding Smoothing for Robust Vision Language Models", arXiv, March 2026.
    BibTeX arXiv
    • @article{Wang2026mar2,
    • author = {{Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
    • title = {{Directional Embedding Smoothing for Robust Vision Language Models}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.15259}
    • }
  •  Yamamoto, T., Sakamoto, Y., Sun, S., Koike-Akino, T., Wang, Y., Wang, B., "Presentation of Team MELSUR's Achievements in the COMPUMAG 2025 Galileo Ferraris Contest", IEEJ, March 2026.
    BibTeX
    • @inproceedings{Yamamoto2026mar,
    • author = {Yamamoto, Tatsuya and Sakamoto, Yusuke and Sun, Siyuan and Koike-Akino, Toshiaki and Wang, Ye and Wang, Bingnan},
    • title = {{Presentation of Team MELSUR's Achievements in the COMPUMAG 2025 Galileo Ferraris Contest}},
    • booktitle = {IEEJ},
    • year = 2026,
    • month = mar
    • }
  •  Koike-Akino, T., Liu, J., Wang, Y., "TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly", arXiv, March 2026.
    BibTeX arXiv
    • @article{Koike-Akino2026mar,
    • author = {Koike-Akino, Toshiaki and Liu, Jing and Wang, Ye},
    • title = {{TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly}},
    • journal = {arXiv},
    • year = 2026,
    • month = mar,
    • url = {https://arxiv.org/abs/2603.19296}
    • }
  •  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", Energy and Buildings, March 2026.
    BibTeX TR2026-030 PDF
    • @article{Park2026mar,
    • 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 = {Energy and Buildings},
    • year = 2026,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2026-030}
    • }
  •  Qin, J., Sun, H., Yu, N., Guo, J., Wang, Y., Raghunathan, A., "Temporal Surrogate Lagrangian Decomposition for Operational Hosting Capacity Assessment In Unbalanced Power Distribution Systems", IEEE Transactions on Industrial Informatics, DOI: 10.1109/​TII.2025.3650721, February 2026.
    BibTeX TR2026-025 PDF
    • @article{Qin2026feb,
    • author = {Qin, Jingtao and Sun, Hongbo and Yu, Nanpeng and Guo, Jianlin and Wang, Ye and Raghunathan, Arvind},
    • title = {{Temporal Surrogate Lagrangian Decomposition for Operational Hosting Capacity Assessment In Unbalanced Power Distribution Systems}},
    • journal = {IEEE Transactions on Industrial Informatics},
    • year = 2026,
    • month = feb,
    • doi = {10.1109/TII.2025.3650721},
    • url = {https://www.merl.com/publications/TR2026-025}
    • }
  •  Suzuki, K., Liu, J., Wang, Y., Hori, C., Brand, M., Romeres, D., Koike-Akino, T., "Embedding Morphology into Transformers for Cross-Robot Policy Learning", arXiv, February 2026.
    BibTeX arXiv
    • @article{Suzuki2026feb,
    • author = {{Suzuki, Kei and Liu, Jing and Wang, Ye and Hori, Chiori and Brand, Matthew and Romeres, Diego and Koike-Akino, Toshiaki}},
    • title = {{Embedding Morphology into Transformers for Cross-Robot Policy Learning}},
    • journal = {arXiv},
    • year = 2026,
    • month = feb,
    • url = {https://arxiv.org/abs/2603.00182}
    • }
  •  Moosa, I.M., Lohit, S., Wang, Y., Chatterjee, M., Yin, W., "Understanding Dynamic Compute Allocation in Recurrent Transformers", arXiv, February 2026.
    BibTeX arXiv
    • @article{Moosa2026feb,
    • author = {Moosa, Ibraheem Muhammad and Lohit, Suhas and Wang, Ye and Chatterjee, Moitreya and Yin, Wenpeng},
    • title = {{Understanding Dynamic Compute Allocation in Recurrent Transformers}},
    • journal = {arXiv},
    • year = 2026,
    • month = feb,
    • url = {https://arxiv.org/abs/2602.08864}
    • }
  •  Khattar, V., Choudhury, M., Rashid, M.R.U., Liu, J., Koike-Akino, T., Jin, M., Wang, Y., "Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities", AAAI Workshop on Trust and Control in Agentic AI, January 2026.
    BibTeX TR2026-020 PDF
    • @inproceedings{Khattar2026jan,
    • author = {Khattar, Vanshaj and Choudhury, Moumita and Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Jin, Ming and Wang, Ye},
    • title = {{Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities}},
    • booktitle = {AAAI Workshop on Trust and Control in Agentic AI},
    • year = 2026,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2026-020}
    • }
  •  Koike-Akino, T., Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., "LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention", AAAI Conference on Artificial Intelligence, January 2026.
    BibTeX TR2026-018 PDF Video Presentation
    • @inproceedings{Koike-Akino2026jan,
    • author = {{{Koike-Akino, Toshiaki and Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew}}},
    • title = {{{LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention}}},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2026,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2026-018}
    • }
  •  Rashid, M.R.U., Dasu, V.A., Wang, Y., Tan, G.G., Mehnaz, S., "Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models", AAAI Conference on Artificial Intelligence, January 2026.
    BibTeX TR2026-017 PDF
    • @inproceedings{Rashid2026jan,
    • author = {Rashid, Md Rafi Ur and Dasu, Vishnu Asutosh and Wang, Ye and Tan, G. Gary and Mehnaz, Shagufta},
    • title = {{Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models}},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2026,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2026-017}
    • }
  •  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 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}
    • }
  •  Ye, Z.-J., Sun, H., Guo, J., Wang, Y., Mohsenian-Rad, H., "Phase Identification in Wye-Connected and Delta-Connected Loads Under High PV Penetration", IEEE PES GM 2025, DOI: 10.1109/​PESGM52009.2025.11225303, July 2025.
    BibTeX TR2025-113 PDF
    • @inproceedings{Ye2025jul,
    • author = {Ye, Zong-Jhen and Sun, Hongbo and Guo, Jianlin and Wang, Ye and Mohsenian-Rad, Hamed},
    • title = {{Phase Identification in Wye-Connected and Delta-Connected Loads Under High PV Penetration}},
    • booktitle = {IEEE PES GM 2025},
    • year = 2025,
    • month = jul,
    • doi = {10.1109/PESGM52009.2025.11225303},
    • url = {https://www.merl.com/publications/TR2025-113}
    • }
  •  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}
    • }
  •  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}
    • }
  •  Rashid, M.R.U., Dasu, V.A., Wang, Y., Tan, G.G., Mehnaz, S., "Trust Me, I Can Handle It: Self-Generated Adversarial Scenario Extrapolation for Robust Language Models", arXiv, May 2025.
    BibTeX arXiv
    • @article{Rashid2025may,
    • author = {Rashid, Md Rafi Ur and Dasu, Vishnu Asutosh and Wang, Ye and Tan, G. Gary and Mehnaz, Shagufta},
    • title = {{Trust Me, I Can Handle It: Self-Generated Adversarial Scenario Extrapolation for Robust Language Models}},
    • journal = {arXiv},
    • year = 2025,
    • month = may,
    • url = {https://www.arxiv.org/abs/2505.17089}
    • }
  •  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}
    • }
  •  Chakrabarty, A., Vanfretti, L., Wang, Y., Mineyuki, T., Zhan, S., Tang, W.-T., Paulson, J.A., Deshpande, V.M., Bortoff, S.A., Laughman, C.R., "Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation", Building Simulation, DOI: 10.1007/​s12273-025-1260-8, April 2025.
    BibTeX TR2025-043 PDF
    • @article{Chakrabarty2025apr,
    • author = {Chakrabarty, Ankush and Vanfretti, Luigi and Wang, Ye and Mineyuki, Takuma and Zhan, Sicheng and Tang, Wei-Ting and Paulson, Joel A. and Deshpande, Vedang M. and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {{Time-Series Generative Networks for Synthesizing Realistic Scenarios in Occupant-Centric Building Simulation}},
    • journal = {Building Simulation},
    • year = 2025,
    • month = apr,
    • doi = {10.1007/s12273-025-1260-8},
    • url = {https://www.merl.com/publications/TR2025-043}
    • }
  •  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}
    • }