Shaobo Wang (王少博)

@article{wang2025dataset,
  title = {Dataset Distillation with Neural Characteristic Function: A Minmax Perspective},
  author = {Wang, Shaobo and Yang, Yicun and Liu, Zhiyuan and Sun, Chenghao and Hu, Xuming and He, Conghui and Zhang, Linfeng},
  year = {2025},
  journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  news_zh = {https://mp.weixin.qq.com/s/VtIqPF_a098qAEvrTKbi6A}
}

@article{wang2025datawhisperer,
  title = {Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning},
  author = {Wang, Shaobo and Jin, Xiangqi and Wang, Ziming and Wang, Jize and Zhang, Jiajun and Li, Kaixin and Wen, Zichen and Li, Zhong and He, Conghui and Hu, Xuming and Zhang, Linfeng},
  year = {2025},
  journal = {Annual Meeting of the Association for Computational Linguistics},
}

@article{wang2024gnothi,
  title = {Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers},
  author = {Wang, Shaobo and Tang, Hongxuan and Wang, Mingyang and Zhang, Hongrui and Liu, Xuyang and Li, Weiya and Hu, Xuming and Zhang, Linfeng},
  year = {2025},
  primaryclass = {cs.LG},
  journal = {International Conference on Learning Representations},
}

@misc{zhang2025efficient,
  title = {Efficient Multi-modal Large Language Models via Progressive Consistency Distillation},
  author = {Wen, Zichen and Wang, Shaobo and Zhou, Yufa and Zhang, Junyuan and Zhang, Qintong and Gao, Yifeng and Chen, Zhaorun and Wang, Bin and Li, Weijia and He, Conghui and Zhang, Linfeng},
  year = {2025}
}

@article{li2024think2drive,
  title = {Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2)},
  author = {Li, Qifeng and Jia, Xiaosong and Wang, Shaobo and Yan, Junchi},
  journal = {European Conference on Computer Vision},
  year = {2024},
}

@article{xu2025unseen,
  title = {Rethink Dataset Pruning From a Generalization Perspective},
  author = {Xu*, Furui and Wang*, Shaobo and Sun, Chenghao and Zhang, Jiajun and Zhang, Linfeng},
  journal = {The Future of Machine Learning Data Practices and Repositories at ICLR 2025},
  year = {2025},
}

@article{wen2025stoplookingimportanttokens,
  title = {Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More},
  author = {Wen, Zichen and Gao, Yifeng and Wang, Shaobo and Zhang, Junyuan and Zhang, Qintong and Li, Weijia and He, Conghui and Zhang, Linfeng},
  year = {2025},
  eprint = {2502.11494},
  archiveprefix = {arXiv},
  primaryclass = {cs.CL},
}

@article{zheng2025compute,
  title = {Compute only 16 tokens in one timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching},
  author = {Zheng, Zhixin and Wang, Xinyu and Zou, Chang and Wang, Shaobo and Zhang, Linfeng},
  journal = {ACM Multimedia},
  year = {2025},
}

@article{zheng2025computf,
  title = {SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching},
  author = {Liu, Jiacheng and Zou, Chang and Lyu, Yuanhuiyi and Ren, Fei and Wang, Shaobo and Li, Kaixin and Zhang, Linfeng},
  journal = {ACM Multimedia},
  year = {2025},
}

@article{chen2024unveiling,
  title = {Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers},
  author = {Chen, Siyu and Sheen, Heejune and Wang, Tianhao and Yang, Zhuoran},
  journal = {Advances in Neural Information Processing Systems},
  year = {2024},
}

@article{wang2024drupi,
  title = {DRUPI: Dataset Reduction Using Privileged Information},
  author = {Wang, Shaobo and Yang, Yantai and Zhang, Shuaiyu and Sun, Chenghao and Li, Weiya and Hu, Xuming and Zhang, Linfeng},
  year = {2024},
  eprint = {2410.01611},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  journal = {The Future of Machine Learning Data Practices and Repositories at ICLR},
}

@article{wang2024samples,
  title = {Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation},
  author = {Wang, Shaobo and Yang, Yantai and Wang, Qilong and Li, Kaixin and Zhang, Linfeng and Yan, Junchi},
  year = {2025},
  eprint = {2408.12483},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  journal = {Synthetic Data for Computer Vision Workshop at CVPR},
}

@article{li2021visualizing,
  title = {Visualizing the emergence of intermediate visual patterns in dnns},
  author = {Li, Mingjie and Wang, Shaobo and Zhang, Quanshi},
  journal = {Advances in Neural Information Processing Systems},
  volume = {34},
  pages = {6594--6607},
  year = {2021},
}