@article{pftv22026,
  title={{Progressive Focused Transformer for Image Restoration}},
  author={Long, Wei and Zhang, Jinhua and Zhou, Xingyu and Zhang, Leheng and Gu, Shuhang},
  journal={International Journal of Computer Vision},
  year={2026},
  volume={134},
  number={10},
  pages={458},
  doi={10.1007/s11263-026-03053-1},
  url={https://doi.org/10.1007/s11263-026-03053-1}
}

@misc{pixsgr2026,
      title={{Advanced Pixel Diffusion Model with Guided Sparse Global Refinement}},
      author={Weiyi You and Jinhua Zhang and Xingyu Zhou and Wei Long and Junyu Lou and Shuhang Gu},
      year={2026},
      eprint={2609.00798},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2609.00798},
}

@misc{fdloss2026,
      title={{Beyond Token-Level Cross-Entropy: Fr{\'e}chet Distributional Post-Training for Autoregressive Image Generation}},
      author={Jinhua Zhang and Yisong Lin and Wei Long and Shuhang Gu},
      year={2026},
      eprint={2608.00562},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2608.00562},
}

@inproceedings{jiang2026differentiable,
  author={Jiang, Shiyin and Long, Wei and Han, Minghao and Chen, Zhenghao and Zhu, Ce and Gu, Shuhang},
  title={{Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression}},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month={June},
  year={2026},
  pages={14440--14450},
  url={https://openaccess.thecvf.com/content/CVPR2026/html/Jiang_Differentiable_Vector_Quantization_for_Rate-Distortion_Optimization_of_Generative_Image_Compression_CVPR_2026_paper.html}
}

@article{zhang2026atd,
  title={{ATD: Improved Transformer With Adaptive Token Dictionary for Image Restoration}},
  author={Zhang, Leheng and Long, Wei and Li, Yawei and Zhou, Xingyu and Zhao, Xiaorui and Gu, Shuhang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2026},
  volume={48},
  number={7},
  pages={8018--8033},
  doi={10.1109/TPAMI.2026.3669974},
  url={https://doi.org/10.1109/TPAMI.2026.3669974}
}

@inproceedings{iet2026,
  author={Meng, Chunyu and Long, Wei and Gu, Shuhang},
  title={{From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution}},
  editor={Favaro, Paolo and Kukelova, Zuzana and Maki, Atsuto and Rohrbach, Anna and Schindler, Konrad and Tombari, Federico},
  booktitle={Computer Vision -- ECCV 2026},
  series={Lecture Notes in Computer Science},
  volume={17037},
  year={2026},
  publisher={Springer Nature Switzerland},
  address={Cham},
  pages={1--18},
  isbn={978-3-032-37467-7},
  doi={10.1007/978-3-032-37467-7_1},
  url={https://link.springer.com/chapter/10.1007/978-3-032-37467-7_1}
}

@inproceedings{long2026idesplat,
  author={Long, Wei and Wu, Haifeng and Jiang, Shiyin and Zhang, Jinhua and Ji, Xinchun and Gu, Shuhang},
  title={{IDESplat: Iterative Depth Probability Estimation for Generalizable 3D Gaussian Splatting}},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month={June},
  year={2026},
  pages={33248--33258},
  url={https://openaccess.thecvf.com/content/CVPR2026/html/Long_IDESplat_Iterative_Depth_Probability_Estimation_for_Generalizable_3D_Gaussian_Splatting_CVPR_2026_paper.html}
}

@inproceedings{li2026texture,
  author={Li, Qifan and Zou, Jiale and Zhang, Jinhua and Long, Wei and Zhou, Xingyu and Gu, Shuhang},
  title={{Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution}},
  booktitle={International Conference on Learning Representations},
  editor={C. Vondrick and B. Hariharan and C. Raffel and L. Pinto and D. Yang and A. Faust},
  volume={2026},
  year={2026},
  pages={63694--63714},
  url={https://proceedings.iclr.cc/paper_files/paper/2026/hash/67c15da4a9340140c60783d9a175fd3f-Abstract-Conference.html}
}

@article{fsa2026,
  title={{Leveraging negative correlation for Full-Range Self-Attention in Vision Transformers}},
  author={Long, Wei and Chen, Ziyang and Li, Wenting and Zhang, Yongjun and Yao, He and Peng, Jiaxin and Cui, Zhongwei},
  journal={Pattern Recognition},
  year={2026},
  volume={169},
  pages={111899},
  doi={10.1016/j.patcog.2025.111899},
  url={https://doi.org/10.1016/j.patcog.2025.111899}
}

@inproceedings{zhang2026mvar,
  author={Zhang, Jinhua and Long, Wei and Han, Minghao and You, Weiyi and Gu, Shuhang},
  title={{MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning}},
  booktitle={International Conference on Learning Representations},
  editor={C. Vondrick and B. Hariharan and C. Raffel and L. Pinto and D. Yang and A. Faust},
  volume={2026},
  year={2026},
  pages={32889--32917},
  url={https://proceedings.iclr.cc/paper_files/paper/2026/hash/37c6d0bc4d2917dcbea693b18504bd87-Abstract-Conference.html}
}

@article{llknet2025,
  title={{Rethinking low-light knowledge for pedestrian detection in nighttime conditions}},
  author={Chen, Ziyang and Yao, He and Li, Wenting and Long, Wei and Zhang, Yongjun},
  journal={Engineering Applications of Artificial Intelligence},
  year={2025},
  volume={160},
  pages={111979},
  doi={10.1016/j.engappai.2025.111979},
  url={https://doi.org/10.1016/j.engappai.2025.111979}
}

@article{pgnet2025,
  title={{Prior Information-Guided Semi-Supervised Semantic Segmentation of Remote Sensing Images}},
  author={Gan, Xiaorong and Li, Wenting and Zhang, Yongjun and Long, Wei and Lu, Yujie and Chen, Ziyang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2025},
  volume={63},
  pages={1--16},
  doi={10.1109/TGRS.2025.3571066},
  url={https://doi.org/10.1109/TGRS.2025.3571066}
}

@misc{lrtivsr2025,
      title={{Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution}},
      author={Xingyu Zhou and Wei Long and Jingbo Lu and Shiyin Jiang and Weiyi You and Haifeng Wu and Shuhang Gu},
      year={2025},
      eprint={2505.02159},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2505.02159},
}

@inproceedings{long2025progressive,
  author={Long, Wei and Zhou, Xingyu and Zhang, Leheng and Gu, Shuhang},
  title={{Progressive Focused Transformer for Single Image Super-Resolution}},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month={June},
  year={2025},
  pages={2279--2288},
  doi={10.1109/cvpr52734.2025.00218},
  url={https://openaccess.thecvf.com/content/CVPR2025/html/Long_Progressive_Focused_Transformer_for_Single_Image_Super-Resolution_CVPR_2025_paper.html}
}

@article{mdmcr2024,
  title={{Multi-Dimensional Manifolds Consistency Regularization for semi-supervised remote sensing semantic segmentation}},
  author={Lu, Yujie and Zhang, Yongjun and Cui, Zhongwei and Long, Wei and Chen, Ziyang},
  journal={Knowledge-Based Systems},
  year={2024},
  volume={299},
  pages={112032},
  doi={10.1016/j.knosys.2024.112032},
  url={https://doi.org/10.1016/j.knosys.2024.112032}
}

@inproceedings{mocha2024,
  author={Chen, Ziyang and Long, Wei and Yao, He and Zhang, Yongjun and Wang, Bingshu and Qin, Yongbin and Wu, Jia},
  title={{MoCha-Stereo: Motif Channel Attention Network for Stereo Matching}},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month={June},
  year={2024},
  pages={27768--27777},
  doi={10.1109/cvpr52733.2024.02623},
  url={https://openaccess.thecvf.com/content/CVPR2024/html/Chen_MoCha-Stereo_Motif_Channel_Attention_Network_for_Stereo_Matching_CVPR_2024_paper.html}
}

@article{tanet2023,
  title={{Threshold Attention Network for Semantic Segmentation of Remote Sensing Images}},
  author={Long, Wei and Zhang, Yongjun and Cui, Zhongwei and Xu, Yujie and Zhang, Xuexue},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2023},
  volume={61},
  pages={1--12},
  doi={10.1109/TGRS.2023.3276081},
  url={https://doi.org/10.1109/TGRS.2023.3276081}
}