paper | bibtex | code |

@misc{wang2024coreinferacceleratinglargelanguage,
      title={CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation}, 
      author={Qinsi Wang and Saeed Vahidian and Hancheng Ye and Jianyang Gu and Jianyi Zhang and Yiran Chen},
      year={2024},
      eprint={2410.18311},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2410.18311}}






  

paper | bibtex | code |

@Article{SVahidian-RobustDD,
  author       = {Saeed Vahidian and
                  Mingyu Wang and
                  Jianyang Gu and
                  Vyacheslav Kungurtsev and
                  Wei Jiang and
                  Yiran Chen},
  title        = {Group Distributionally Robust Dataset Distillation with Risk Minimization},
  journal      = {CoRR},
  volume       = {abs/2402.04676},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2402.04676},
  doi          = {10.48550/ARXIV.2402.04676},
  eprinttype    = {arXiv}}

paper | bibtex |

@Article{SVahidian-ICEPL-2024,
      title={Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning}, 
      author={Vyacheslav Kungurtsev and Yuanfang Peng and Jianyang Gu and Saeed Vahidian and Anthony Quinn and Fadwa Idlahcen and Yiran Chen},
      year={2024},
      eprint={2409.01410},
      archivePrefix={arXiv},
      url={https://arxiv.org/abs/2409.01410}}






  

paper | bibtex | code |

@Article{SVahidian-minmax-Diffusion2024,
  title={Efficient dataset distillation via minimax diffusion},
  author={Gu, Jianyang and Vahidian, Saeed and Kungurtsev, Vyacheslav and Wang, Haonan and Jiang, Wei and You, Yang and Chen, Yiran},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={15793--15803},
  year={2024}
}






  

paper | bibtex | code |

@Article{SVahidian-BiasedDD2024,
  author       = {Yao Lu and
                  Jianyang Gu and
                  Xuguang Chen and
                  Saeed Vahidian and
                  Qi Xuan},
  title        = {Exploring the Impact of Dataset Bias on Dataset Distillation},
  journal      = {CoRR},
  volume       = {abs/2403.16028},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2403.16028},
  doi          = {10.48550/ARXIV.2403.16028},
  eprinttype    = {arXiv},
  eprint       = {2403.16028},
  timestamp    = {Tue, 09 Apr 2024 15:12:39 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2403-16028.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}






  

paper | bibtex | code |

@Article{SVahidian-FedGPT2024,
      title={Towards Building the Federated GPT: Federated Instruction Tuning}, 
      author={Jianyi Zhang and Saeed Vahidian and Martin Kuo and Chunyuan Li and Ruiyi Zhang and Guoyin Wang and Yiran Chen},
      year={2023},
      eprint={2305.05644},
      archivePrefix={arXiv},
      primaryClass={cs.CL}}

paper | bibtex | code |

@Article{SVahidian-DDF-ECCV2024,
      title={Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents}, 
      author={Yuqi Jia and Saeed Vahidian and Jingwei Sun and Jianyi Zhang and Vyacheslav Kungurtsev and Neil Zhenqiang Gong and Yiran Chen},
      year={2023},
      eprint={2312.01537},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2312.01537}}

paper | bibtex |

@Article{SVahidian-DDF-ICCV2023,
  author       = {Saeed Vahidian and
                  Sreevatsank Kadaveru and
                  Woonjoon Baek and
                  Weijia Wang and
                  Vyacheslav Kungurtsev and
                  Chen Chen and
                  Mubarak Shah and
                  Bill Lin},
  title        = {When Do Curricula Work in Federated Learning?},
  booktitle    = {{IEEE/CVF} International Conference on Computer Vision, {ICCV} 2023,
                  Paris, France, October 1-6, 2023},
  pages        = {5061--5071},
  publisher    = {{IEEE}},
  year         = {2023}}

paper | bibtex |

@Article{SVahidian-DDF-AAAI2023,
  author       = {Saeed Vahidian and
                  Mahdi Morafah and
                  Weijia Wang and
                  Vyacheslav Kungurtsev and
                  Chen Chen and
                  Mubarak Shah and
                  Bill Lin},
  editor       = {Brian Williams and
                  Yiling Chen and
                  Jennifer Neville},
  title        = {Efficient Distribution Similarity Identification in Clustered Federated
                  Learning via Principal Angles between Client Data Subspaces},
  booktitle    = {Thirty-Seventh {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2023, Thirty-Fifth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2023, Thirteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2023, Washington, DC, USA, February
                  7-14, 2023},
  pages        = {10043--10052},
  publisher    = {{AAAI} Press},
  year         = {2023}}

paper | bibtex |

@Article{SVahidian-DDF-AAAI2023,
  author       = {Saeed Vahidian and
                  Mahdi Morafah and
                  Weijia Wang and
                  Vyacheslav Kungurtsev and
                  Chen Chen and
                  Mubarak Shah and
                  Bill Lin},
  editor       = {Brian Williams and
                  Yiling Chen and
                  Jennifer Neville},
  title        = {Efficient Distribution Similarity Identification in Clustered Federated
                  Learning via Principal Angles between Client Data Subspaces},
  booktitle    = {Thirty-Seventh {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2023, Thirty-Fifth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2023, Thirteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2023, Washington, DC, USA, February
                  7-14, 2023},
  pages        = {10043--10052},
  publisher    = {{AAAI} Press},
  year         = {2023}}

paper | bibtex |

@Article{SVahidian-DDF-OJCS2023,
  author={Morafah, Mahdi and Vahidian, Saeed and Wang, Weijia and Lin, Bill},
  journal={IEEE Open Journal of the Computer Society}, 
  title={FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution}, 
  year={2023},
  volume={4},
  number={},
  pages={109-120}}

paper | bibtex | code |

@Article{SVahidian-DDF-IROS2023,
  author       = {Umar Khalid and
                  Hasan Iqbal and
                  Saeed Vahidian and
                  Jing Hua and
                  Chen Chen},
  title        = {{CEFHRI:} {A} Communication Efficient Federated Learning Framework
                  for Recognizing Industrial Human-Robot Interaction},
  booktitle    = {{IROS}},
  pages        = {10141--10148},
  year         = {2023},
  url          = {https://doi.org/10.1109/IROS55552.2023.10341467}}

paper | bibtex | Video |

@Article{SVahidian-ICE-UAI2023,
  author       = {Saeed Vahidian and
                  Baharan Mirzasoleiman and
                  Alexander Cloninger},
  title        = {Coresets for Estimating Means and Mean Square Error with Limited Greedy
                  Samples},
  booktitle    = {Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial
                  Intelligence, {UAI} 2020, virtual online, August 3-6, 2020},
  series       = {Proceedings of Machine Learning Research},
  volume       = {124},
  pages        = {350--359},
  publisher    = {{AUAI} Press},
  year         = {2020}}

paper | bibtex |

@Article{SVahidian-DDF-IROS2023,
  author       = {Umar Khalid and
                  Hasan Iqbal and
                  Saeed Vahidian and
                  Jing Hua and
                  Chen Chen},
  title        = {{CEFHRI:} {A} Communication Efficient Federated Learning Framework
                  for Recognizing Industrial Human-Robot Interaction},
  booktitle    = {{IROS}},
  pages        = {10141--10148},
  year         = {2023},
  url          = {https://doi.org/10.1109/IROS55552.2023.10341467}}

paper | bibtex | Video |

@Article{SVahidian-ICE-CVPR2020,
  author       = {Mohsen Joneidi and
                  Saeed Vahidian and
                  Ashkan Esmaeili and
                  Weijia Wang and
                  Nazanin Rahnavard and
                  Bill Lin and
                  Mubarak Shah},
  title        = {Select to Better Learn: Fast and Accurate Deep Learning Using Data
                  Selection From Nonlinear Manifolds},
  booktitle    = {2020 {IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
                  {CVPR} 2020, Seattle, WA, USA, June 13-19, 2020},
  pages        = {7816--7826},
  publisher    = {Computer Vision Foundation / {IEEE}},
  year         = {2020}}

paper | bibtex |

@Article{SVahidian-Meta-ICLR2020,
@article{DBLP:journals/corr/abs-2006-10236,
  author       = {Siavash Khodadadeh and
                  Sharare Zehtabian and
                  Saeed Vahidian and
                  Weijia Wang and
                  Bill Lin and
                  Ladislau B{\"{o}}l{\"{o}}ni},
  title        = {Unsupervised Meta-Learning through Latent-Space Interpolation in Generative
                  Models},
  journal      = {CoRR},
  volume       = {abs/2006.10236},
  year         = {2020},
  url          = {https://arxiv.org/abs/2006.10236}}