Yiran Qiao

Ph.D. Student from CRAKEN Lab

Yiran Qiao

Yiran Qiao

Ph.D. Student from CRAKEN Lab

Causal Reasoning, Adversarial Robustness, and 3D Reconstruction & Generation.

Yiran Qiao is a long-term collaborator of the VU Lab. He is currently a Ph.D. student in the Department of Computer and Data Sciences at Case Western Reserve University, where he is also a member of the CRAKEN Lab, advised by Prof. Jing Ma.

Experience

  • Research Intern
    • Emerson China, Xi’an, Shaanxi
    • Jun 2019 - Jun 2020
  • Research Assistant
    • Xi’an Jiaotong University
    • Jun 2020 - Jan 2021

Education

  • Ph.D. in Computer Science
    • Case Western Reserve University
    • Aug 2023 - Present
  • M.S. in Electrical and Computer Engineering
    • The Ohio State University
    • Jan 2021 - May 2023
  • B.S. in Electrical Engineering
    • Xi’an Jiaotong University
    • Aug 2015 - Jun 2019

Awards

  • Outstanding Graduate Teaching Award

Research Interests

  • Causal Reasoning
  • Adversarial Attack and Defense
  • 3D Reconstruction and Generation

Publications

  1. AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models.
    Yiran Qiao, Yiren Lu, Yunlai Zhou, Ruize Yang, Lufan Hou, Yu Yin and Jing Ma.
    In arXiv preprint arXiv:2603.23686, 2026.

    @article{qiao2026advsplat,
      title = {AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models},
      author = {Qiao, Yiran and Lu, Yiren and Zhou, Yunlai and Yang, Ruize and Hou, Lufan and Yin, Yu and Ma, Jing},
      journal = {arXiv preprint arXiv:2603.23686},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2603.23686.pdf}
    }
    
  2. DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering.
    Yiran Qiao, Yiren Lu, Yunlai Zhou, Ruize Yang, Lufan Hou, Yu Yin and Jing Ma.
    In arXiv preprint arXiv:2602.19323, 2026.

    @article{qiao2026defensesplat,
      title = {DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering},
      author = {Qiao, Yiran and Lu, Yiren and Zhou, Yunlai and Yang, Ruize and Hou, Lufan and Yin, Yu and Ma, Jing},
      journal = {arXiv preprint arXiv:2602.19323},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2602.19323}
    }
    
  3. Counterfactual Visual Explanation via Causally-Guided Adversarial Steering.
    Yiran Qiao, Disheng Liu, Yiren Lu, Yu Yin, Mengnan Du and Jing Ma.
    In arXiv preprint arXiv:2507.09881, 2025.

    @article{qiao2025counterfactual,
      title = {Counterfactual Visual Explanation via Causally-Guided Adversarial Steering},
      author = {Qiao, Yiran and Liu, Disheng and Lu, Yiren and Yin, Yu and Du, Mengnan and Ma, Jing},
      journal = {arXiv preprint arXiv:2507.09881},
      year = {2025},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2507.09881.pdf}
    }
    
  4. Certified Causal Defense with Generalizable Robustness.
    Yiran Qiao, Yu Yin, Chen Chen and Jing Ma.
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 39, no. 19, 2025.

    @inproceedings{qiao2025certified,
      title = {Certified Causal Defense with Generalizable Robustness},
      author = {Qiao, Yiran and Yin, Yu and Chen, Chen and Ma, Jing},
      booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
      volume = {39},
      number = {19},
      year = {2025},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2408.15451}
    }
    
  5. When ’YES’ Meets ’BUT’: Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?
    Tuo Liang, Zhe Hu, Jing Li, Hao Zhang, Yiren Lu, Yunlai Zhou, Yiran Qiao, Disheng Liu, Jierui Peng, Jing Ma and others.
    In arXiv preprint arXiv:2503.23137, 2025.

    @article{liang2025yesbut,
      title = {When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?},
      author = {Liang, Tuo and Hu, Zhe and Li, Jing and Zhang, Hao and Lu, Yiren and Zhou, Yunlai and Qiao, Yiran and Liu, Disheng and Peng, Jierui and Ma, Jing and others},
      journal = {arXiv preprint arXiv:2503.23137},
      year = {2025},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2503.23137.pdf}
    }
    
  6. Causal3D: A Comprehensive Benchmark for Causal Learning from Visual Data.
    Disheng Liu, Yiran Qiao, Wuche Liu, Yiren Lu, Yunlai Zhou, Tuo Liang, Yu Yin and Jing Ma.
    In arXiv preprint arXiv:2503.04852, 2025.

    @article{liu2025causal3d,
      title = {Causal3D: A Comprehensive Benchmark for Causal Learning from Visual Data},
      author = {Liu, Disheng and Qiao, Yiran and Liu, Wuche and Lu, Yiren and Zhou, Yunlai and Liang, Tuo and Yin, Yu and Ma, Jing},
      journal = {arXiv preprint arXiv:2503.04852},
      year = {2025},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2503.04852.pdf},
      data = {https://huggingface.co/datasets/LLDDSS/Causal3D_Dataset}
    }
    
  7. Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting.
    Yiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song, Tuo Liang, Jing Ma, Huan Wang and Yu Yin.
    In Advances in Neural Information Processing Systems (NeurIPS), 2025.

    @article{lu2025segment,
      title = {Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting},
      author = {Lu, Yiren and Zhou, Yunlai and Qiao, Yiran and Song, Chaoda and Liang, Tuo and Ma, Jing and Wang, Huan and Yin, Yu},
      journal = {Advances in Neural Information Processing Systems (NeurIPS)},
      year = {2025},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2503.22204v2},
      website = {https://yiren-lu.com/project_pages/Segment-then-Splat/},
      code = {https://github.com/luyr/Segment-then-Splat}
    }
    
  8. Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.
    Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma and Yu Yin.
    In Advances in Neural Information Processing Systems (NeurIPS), vol. 37, pp. 47166–47188, 2024.

    @article{hu2024cracking,
      title = {Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions},
      author = {Hu, Zhe and Liang, Tuo and Li, Jing and Lu, Yiren and Zhou, Yunlai and Qiao, Yiran and Ma, Jing and Yin, Yu},
      journal = {Advances in Neural Information Processing Systems (NeurIPS)},
      volume = {37},
      pages = {47166--47188},
      year = {2024},
      status = {accepted},
      pdf = {https://openreview.net/pdf?id=bCMpdaQCNW},
      website = {https://vulab-ai.github.io/YESBUT_Homepage/},
      dataset = {https://huggingface.co/datasets/zhehuderek/YESBUT_Benchmark},
      code = {https://github.com/Derekkk/VIVA_EMNLP24}
    }