Yiren Lu

PhD Student

Yiren Lu

Yiren Lu

PhD Student

3D Vision, Embodied AI, Robotics.

Email: yiren.lu@case.edu

Personal page: https://yiren-lu.com

Google Scholar: Profile

Location: Olin 704

Team page: Back to Team

Yiren Lu is a Ph.D. student at the Computer and Data Sciences Department, Case Western Reserve University (CWRU). His research lies at the intersection of 3D computer vision and embodied AI, focusing on neural scene representations, 3D Gaussian Splatting, and geometry-aware perception. His research aims to develop interpretable spatial intelligence systems that bridge reconstruction and downstream tasks such as reasoning and long-horizon decision-making.

Experience

  • Research Scientist Intern
    • Bosch Research North America, Sunnyvale, CA
    • May 2025 - Dec. 2025
  • Applied Scientist Intern
    • Tencent, Shenzhen
    • July 2021 - June 2022

Education

  • Ph.D. in Copmuter Science
    • Case Western Reserve University, USA
    • Jan. 2024 - Present
  • M.S. in Copmuter Science & Engineering
    • University at Buffalo, USA
    • Aug. 2022 - Jan. 2024
  • B.Eng. in Copmuter Science
    • ShanghaiTech University, China
    • Sep. 2017 - June 2021

Awards

  • Kevin J. Kranzusch Fellowship
  • Outstanding Graduate Research Award

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. GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning.
    Yiren Lu, Yi Du, Disheng Liu, Yunlai Zhou, Chen Wang and Yu Yin.
    In arXiv preprint arXiv:2603.19137, 2026.

    @article{lu2026gsmem,
      title = {GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning},
      author = {Lu, Yiren and Du, Yi and Liu, Disheng and Zhou, Yunlai and Wang, Chen and Yin, Yu},
      journal = {arXiv preprint arXiv:2603.19137},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2603.19137.pdf},
      website = {https://yiren-lu.com/project_pages/GSMem/}
    }
    
  3. Reconstruction Matters: Learning Geometry-Aligned BEV Representation through 3D Gaussian Splatting.
    Yiren Lu, Xin Ye, Burhaneddin Yaman, Jingru Luo, Zhexiao Xiong, Liu Ren and Yu Yin.
    In arXiv preprint arXiv:2603.19193, 2026.

    @article{lu2026reconstruction,
      title = {Reconstruction Matters: Learning Geometry-Aligned BEV Representation through 3D Gaussian Splatting},
      author = {Lu, Yiren and Ye, Xin and Yaman, Burhaneddin and Luo, Jingru and Xiong, Zhexiao and Ren, Liu and Yin, Yu},
      journal = {arXiv preprint arXiv:2603.19193},
      year = {2026},
      status = {preprint},
      pdf = {https://arxiv.org/pdf/2603.19193.pdf},
      website = {https://yiren-lu.com/project_pages/Splat2BEV/}
    }
    
  4. Spatial Intelligence in Vision-Language Models: A Comprehensive Survey.
    Disheng Liu, Tuo Liang, Zhe Hu, Jierui Peng, Yiren Lu, Yi Xu, Yun Fu and Yu Yin.
    In TechRxiv, 2026.

    @article{liu2026spatial,
      title = {Spatial Intelligence in Vision-Language Models: A Comprehensive Survey},
      author = {Liu, Disheng and Liang, Tuo and Hu, Zhe and Peng, Jierui and Lu, Yiren and Xu, Yi and Fu, Yun and Yin, Yu},
      journal = {TechRxiv},
      year = {2026},
      status = {preprint},
      pdf = {https://www.techrxiv.org/doi/full/10.36227/techrxiv.176231405.57942913/v2},
      website = {https://dishengll.github.io/Awesome-Spatial-VLMs/}
    }
    
  5. 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}
    }
    
  6. Fix False Transparency by Noise Guided Splatting.
    Aly El Hakie, Yiren Lu, Yu Yin, Michael Jenkins and Yehe Liu.
    In Advances in Neural Information Processing Systems (NeurIPS), 2025.

    @article{hakie2025fix,
      title = {Fix False Transparency by Noise Guided Splatting},
      author = {Hakie, Aly El and Lu, Yiren and Yin, Yu and Jenkins, Michael and Liu, Yehe},
      journal = {Advances in Neural Information Processing Systems (NeurIPS)},
      year = {2025},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2510.15736},
      website = {https://opsiclear.github.io/ngs/}
    }
    
  7. 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}
    }
    
  8. 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}
    }
    
  9. 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}
    }
    
  10. 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}
    }
    
  11. BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting.
    Yiren Lu, Yunlai Zhou, Disheng Liu, Tuo Liang and Yu Yin.
    In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), pp. 16532–16542, 2025.

    @inproceedings{lu2025bard,
      title = {BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting},
      author = {Lu, Yiren and Zhou, Yunlai and Liu, Disheng and Liang, Tuo and Yin, Yu},
      booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
      pages = {16532--16542},
      year = {2025},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2503.15835},
      website = {https://yiren-lu.com/project_pages/BARD-GS/},
      code = {https://github.com/luyr/BARD-GS},
      data = {https://drive.google.com/drive/u/0/folders/1CRBQ_HR3yKhT3G9_ttTWA1PWXWL6DtsV}
    }
    
  12. View-Consistent Object Removal in Radiance Fields.
    Yiren Lu, Jing Ma and Yu Yin.
    In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), pp. 3597–3606, 2024.

    @inproceedings{lu2024viewconsistent,
      title = {View-Consistent Object Removal in Radiance Fields},
      author = {Lu, Yiren and Ma, Jing and Yin, Yu},
      booktitle = {Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM)},
      pages = {3597--3606},
      year = {2024},
      status = {accepted},
      pdf = {https://arxiv.org/pdf/2408.02100v1.pdf},
      website = {https://yiren-lu.com/project_pages/View-consistent_Object_Removal_in_Radiance_Fields/}
    }
    
  13. 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}
    }