Jianglin (Johnny) Lu

@inproceedings{lu2026restorer1,
  title = {Restore-R1: Efficient Image Restoration Agents via Reinforcement Learning with Multimodal LLM Perceptual Feedback},
  author = {Lu, Jianglin and Wu, Yuanwei and Zhao, Ziyi and Wang, Hongcheng and Jimenez, Felix and Majeedi, Abrar and Fu, Yun},
  booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings track},
  year = {2026},
}

@misc{lu2026seeingthroughwords,
  title = {Seeing Through Words: Controlling Visual Retrieval Quality with Language Models},
  author = {Lu, Jianglin and Jenni, Simon and Kafle, Kushal and Shi, Jing and Zhao, Handong and Fu, Yun},
  note = {arXiv preprint, 2026},
  year = {2026},
  huggingface = {https://huggingface.co/Johnny050407/QCQC},
}

@inproceedings{lu2025indra,
  title = {The Indra Representation Hypothesis for Multimodal Alignment},
  author = {Lu, Jianglin and Wang, Hailing and Yang, Kuo and Zhang, Yitian and Jenni, Simon and Fu, Yun},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2025},
}

@inproceedings{wang2025outlieraware,
  title = {Outlier-Aware Post-Training Quantization for Image Super-Resolution},
  author = {Wang, Hailing and Lu, Jianglin and Zhang, Yitian and Fu, Yun},
  booktitle = {International Conference on Computer Vision ({ICCV}), <strong><span style="color: var(--global-theme-color);">Highlight</span></strong>},
  year = {2025},
}

@article{lu2025representationpotentialsurvey,
  title = {Representation Potentials of Foundation Models for Multimodal Alignment: A Survey},
  author = {Lu, Jianglin and Wang, Hailing and Xu, Yi and Wang, Yizhou and Yang, Kuo and Fu, Yun},
  journal = {The 2025 Conference on Empirical Methods in Natural Language Processing},
  note = {Cited by <a href="https://scholar.google.com/citations?user=kukA0LcAAAAJ&hl=en"><strong><span style="color: var(--global-theme-color);">Prof. Yoshua Bengio</span></strong></a> in the <a href="https://arxiv.org/pdf/2602.21012"><strong><span style="color: var(--global-theme-color);">International AI Safety Report 2026</span></strong></a>},
  year = {2025},
}

@article{liu2025unequalscientificrecognition,
  title = {Unequal Scientific Recognition in the Age of LLMs},
  author = {Liu, Yixuan and Elekes, Abel and Lu, Jianglin and Dorantes-Gilardi, Rodrigo and Barabasi, Albert-Laszlo},
  journal = {The 2025 Conference on Empirical Methods in Natural Language Processing},
  note = {Findings track of EMNLP},
  year = {2025},
}

@inproceedings{lu2025scalefreegraphlanguage,
  title = {Scale-Free Graph-Language Models},
  author = {Lu, Jianglin and Liu, Yixuan and Zhang, Yitian and Fu, Yun},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
}

@inproceedings{lu2023latentgraphinference,
  title = {Latent Graph Inference with Limited Supervision},
  author = {Lu, Jianglin and Xu, Yi and Wang, Huan and Bai, Yue and Fu, Yun},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2023},
}