Kejing Xia 夏可敬

@misc{metastate2026,
  title = {MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models},
  author = {Kejing Xia and Mingzhe Li and Lixuan Wei and Zhenbang Du and Xiangchi Yuan and Dachuan Shi and Qirui Jin and Wenke Lee},
  year = {2026},
  eprint = {2603.01331},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  url = {https://arxiv.org/abs/2603.01331}
}

@misc{r2dllm2026,
  title = {{R$^2$-dLLM}: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction},
  author = {Zhenbang Du and Kejing Xia and Xinrui Zhong and Yonggan Fu and Nicolai Oswald and Binfei Ji and Brucek Khailany and Pavlo Molchanov and Yingyan (Celine) Lin},
  year = {2026},
  eprint = {2604.18995},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  url = {https://arxiv.org/abs/2604.18995}
}

@inproceedings{NEURIPS2025_524ff06d,
 author = {Xia, Kejing and Jia, Jidong and Jin, Ke and BAI, Yucai and Sun, Li and Tao, Dacheng and Zhang, Youjian},
 booktitle = {Advances in Neural Information Processing Systems},
 doi = {10.52202/085713-1905},
 editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
 pages = {56899--56927},
 publisher = {Curran Associates, Inc.},
 title = {D\^{}2GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction},
 url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/524ff06d5375d76e93d8490e654a81bf-Paper-Conference.pdf},
 volume = {38, Main Conference},
 year = {2025}
}

@misc{editor2025,
  title = {EDITOR: Effective and Interpretable Prompt Inversion for Text-to-Image Diffusion Models},
  author = {Mingzhe Li and Kejing Xia and Gehao Zhang and Zhenting Wang and Guanhong Tao and Siqi Pan and Juan Zhai and Shiqing Ma},
  year = {2025},
  eprint = {2506.03067},
  archivePrefix = {arXiv},
  primaryClass = {cs.CV},
  url = {https://arxiv.org/abs/2506.03067}
}

@inproceedings{ICLR2025_ab5d50d2,
 author = {Ye, Zhifan and Xia, Kejing and Fu, Yonggan and Dong, Xin and Hong, Jihoon and Yuan, Xiangchi and Diao, Shizhe and Kautz, Jan and Molchanov, Pavlo and Lin, Yingyan Celine},
 booktitle = {International Conference on Learning Representations},
 editor = {Y. Yue and A. Garg and N. Peng and F. Sha and R. Yu},
 pages = {68486--68504},
 title = {LongMamba: Enhancing Mamba\textquotesingle s Long-Context Capabilities via Training-Free Receptive Field Enlargement},
 url = {https://proceedings.iclr.cc/paper_files/paper/2025/file/ab5d50d269e52f8eed497062311ff173-Paper-Conference.pdf},
 volume = {2025},
 year = {2025}
}

@inproceedings{ye-etal-2025-lamb,
    title = "{LAMB}: A Training-Free Method to Enhance the Long-Context Understanding of {SSM}s via Attention-Guided Token Filtering",
    author = "Ye, Zhifan  and
      Wang, Zheng  and
      Xia, Kejing  and
      Hong, Jihoon  and
      Li, Leshu  and
      Whalen, Lexington  and
      Wan, Cheng  and
      Fu, Yonggan  and
      Lin, Yingyan Celine  and
      Kundu, Souvik",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.acl-short.96/",
    doi = "10.18653/v1/2025.acl-short.96",
    pages = "1200--1209",
    ISBN = "979-8-89176-252-7"
}