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
- AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models.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} } - DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering.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} } - Counterfactual Visual Explanation via Causally-Guided Adversarial Steering.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} } - Certified Causal Defense with Generalizable Robustness.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} } - When ’YES’ Meets ’BUT’: Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning?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} } - Causal3D: A Comprehensive Benchmark for Causal Learning from Visual Data.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} } - Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting.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} } - Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions.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} }