Publications

Manuscripts

1. Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling

   Oliver Sieberling, Bharat Runwal, David Jin, Ryan Chin, Rameswar Panda, Yoon Kim

   Preprint

   Paper

   BibTeX

   @misc{sieberling2026triadic,
     title = {Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling},
     author = {Sieberling, Oliver and Runwal, Bharat and Jin, David and Chin, Ryan and Panda, Rameswar and Kim, Yoon},
     year = {2026},
     eprint = {2609.36529},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2609.36529},
   }
   

1. AAAC: Activation-Aware Adaptive Codebooks for 4-bit LLM Weight Quantization

   B. Islam Bouli*, David Jin*

   Submitted

   BibTeX

   @unpublished{bouli_aaac,
     title = {{AAAC}: Activation-Aware Adaptive Codebooks for 4-bit {LLM} Weight Quantization},
     author = {Islam Bouli, B. and Jin, David},
     note = {Submitted},
   }
   

Publications

1. BiLoCo: Binary Low-Rank Corrections for Post-Training Quantization

   David Jin*, B. Islam Bouli*, T. Goel, G. Han, Yoon Kim

   NeurIPS 2026

   Paper

   BibTeX

   @inproceedings{jin_biloco,
     title = {{BiLoCo}: Binary Low-Rank Corrections for Post-Training Quantization},
     author = {Jin, David and Islam Bouli, B. and Goel, T. and Han, G. and Kim, Yoon},
     year = {2026},
     booktitle = {NeurIPS 2026},
     eprint = {2610.32243},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2610.32243},
   }
   

2. GPU-Accelerated Solution of Block-Tridiagonal Systems for Large-Scale Optimization

   David Jin, Sungho Shin

   IFAC World Congress 2026

   Code

   BibTeX

   @inproceedings{jin2025gpu,
     title = {{GPU}-Accelerated Solution of Block-Tridiagonal Systems for Large-Scale Optimization},
     author = {Jin, David and Shin, Sungho},
     year = {2025},
     booktitle = {IFAC World Congress 2026},
   }
   

3. GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise

   S. Teng, Harry Zhang*, David Jin*, A. Jasour, M. Ghafarri, Luca Carlone

   NeurIPS 2025

   BibTeX

   @inproceedings{teng2025gmkf,
     title = {{GMKF}: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise},
     author = {Teng, S. and Zhang, Harry and Jin, David and Jasour, A. and Ghafarri, M. and Carlone, Luca},
     year = {2025},
     booktitle = {NeurIPS 2025},
   }
   

4. CRISP: Object Pose and Shape Estimation with Test-Time Adaptation

   J. Shi, R. Talak, Harry Zhang, David Jin, Luca Carlone

   CVPR 2025

   BibTeX

   @inproceedings{shi2025crisp,
     title = {{CRISP}: Object Pose and Shape Estimation with Test-Time Adaptation},
     author = {Shi, J. and Talak, R. and Zhang, Harry and Jin, David and Carlone, Luca},
     year = {2025},
     booktitle = {CVPR 2025},
   }
   

5. Physics-Informed Neural Operator for Learning Partial Differential Equations

   Zongyi Li, Hongkai Zheng, Nikola Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar

   ACM/JMS Journal of Data Science, 1(3), 1–27 · 2024

   Paper

   BibTeX

   @article{li2024pino,
     title = {Physics-Informed Neural Operator for Learning Partial Differential Equations},
     author = {Li, Zongyi and Zheng, Hongkai and Kovachki, Nikola and Jin, David and Chen, Haoxuan and Liu, Burigede and Azizzadenesheli, Kamyar and Anandkumar, Anima},
     year = {2024},
     journal = {ACM/JMS Journal of Data Science},
     volume = {1},
     number = {3},
     pages = {1--27},
     url = {https://arxiv.org/abs/2111.03794},
   }
   

6. Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval

   S. Yu, C. Fan, C. Xiong, David Jin, Z. Liu, Z. Liu

   COLING 2024

   BibTeX

   @inproceedings{yu2024fusion,
     title = {{Fusion-in-T5}: Unifying Document Ranking Signals for Improved Information Retrieval},
     author = {Yu, S. and Fan, C. and Xiong, C. and Jin, David and Liu, Z. and Liu, Z.},
     year = {2024},
     booktitle = {COLING 2024},
   }
   

7. Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds

   David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone

   ICRA 2024

   Paper

   BibTeX

   @inproceedings{jin2024multimodel3dregistrationfinding,
     title = {Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds},
     author = {Jin, David and Karmalkar, Sushrut and Zhang, Harry and Carlone, Luca},
     year = {2024},
     booktitle = {ICRA 2024},
     eprint = {2402.10865},
     archiveprefix = {arXiv},
     primaryclass = {cs.RO},
     url = {https://arxiv.org/abs/2402.10865},
   }