Publications

Our research is pblished in top-tier venues

2026

  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}
    }
    
  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}
    }
    
  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}
    }
    
  4. Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing.
    Meng Wang, Chang Ma, Aoran Jiao, Tuo Liang, Pengfei Lu, Saanvi Hegde, Yu Yin and others.
    In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 19, 2026.
    @inproceedings{wang2026serendipity,
      title = {Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing},
      author = {Wang, Meng and Ma, Chang and Jiao, Aoran and Liang, Tuo and Lu, Pengfei and Hegde, Saanvi and Yin, Yu and others},
      booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
      volume = {40},
      number = {19},
      year = {2026}
    }
    
  5. 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.
    link
    @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},
      url = {https://www.techrxiv.org/doi/full/10.36227/techrxiv.176231405.57942913/v2}
    }
    
  6. 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}
    }
    
  7. HugRAG: Hierarchical Causal Knowledge Graph Design for RAG.
    Nian Wang, Tuo Liang, Varun Singh, Chaoda Song, Vivian Yang, Yu Yin, Jing Ma, Jaideep Singh and others.
    In arXiv preprint arXiv:2602.05143, 2026.
    @article{wang2026hugrag,
      title = {HugRAG: Hierarchical Causal Knowledge Graph Design for RAG},
      author = {Wang, Nian and Liang, Tuo and Singh, Varun and Song, Chaoda and Yang, Vivian and Yin, Yu and Ma, Jing and Singh, Jaideep and others},
      journal = {arXiv preprint arXiv:2602.05143},
      year = {2026}
    }
    

2025

  1. Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs.
    Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yu Yin and Pan Li.
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025.
    @inproceedings{fu2025quantized,
      title = {Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs},
      author = {Fu, Yao and Long, Xianxuan and Li, Runchao and Yu, Haotian and Sheng, Mu and Han, Xiaotian and Yin, Yu and Li, Pan},
      booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
      year = {2025}
    }
    
  2. Nebula: Do we Evaluate Vision-Language-Action Agents Correctly?
    Jierui Peng, Yanyan Zhang, Yicheng Duan, Tuo Liang, Vipin Chaudhary and Yu Yin.
    In arXiv preprint arXiv:2510.16263, 2025.
    @article{peng2025nebula,
      title = {Nebula: Do we Evaluate Vision-Language-Action Agents Correctly?},
      author = {Peng, Jierui and Zhang, Yanyan and Duan, Yicheng and Liang, Tuo and Chaudhary, Vipin and Yin, Yu},
      journal = {arXiv preprint arXiv:2510.16263},
      year = {2025}
    }
    
  3. A Survey on Multi-Robot Collaboration Systems: Architectures, Performances, and Applications.
    Siyuan Zhang, Zhipeng Li, Shasha Xu, Yu Yin, Vipin Chaudhary and Haibin Xu.
    In Authorea Preprints, 2025.
    @article{zhang2025multirobot,
      title = {A Survey on Multi-Robot Collaboration Systems: Architectures, Performances, and Applications},
      author = {Zhang, Siyuan and Li, Zhipeng and Xu, Shasha and Yin, Yu and Chaudhary, Vipin and Xu, Haibin},
      journal = {Authorea Preprints},
      year = {2025}
    }
    
  4. Viva+: Human-Centered Situational Decision-Making.
    Zhe Hu, Yixiao Ren, Guang Liu, Jing Li and Yu Yin.
    In arXiv preprint arXiv:2509.23698, 2025.
    @article{hu2025vivaplus,
      title = {Viva+: Human-Centered Situational Decision-Making},
      author = {Hu, Zhe and Ren, Yixiao and Liu, Guang and Li, Jing and Yin, Yu},
      journal = {arXiv preprint arXiv:2509.23698},
      year = {2025}
    }
    
  5. Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs.
    Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yu Yin and Pan Li.
    In arXiv preprint arXiv:2509.00096, 2025.
    @article{fu2025pruning,
      title = {Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs},
      author = {Fu, Yao and Li, Runchao and Long, Xianxuan and Yu, Haotian and Han, Xiaotian and Yin, Yu and Li, Pan},
      journal = {arXiv preprint arXiv:2509.00096},
      year = {2025}
    }
    
  6. 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}
    }
    
  7. Towards Open-set Face Anti-spoofing with Unseen Attack Synthesis.
    Chang Liu, Yitian Zhang, Yu Yin and Yun Fu.
    In 2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG), 2025.
    @inproceedings{liu2025opensetface,
      title = {Towards Open-set Face Anti-spoofing with Unseen Attack Synthesis},
      author = {Liu, Chang and Zhang, Yitian and Yin, Yu and Fu, Yun},
      booktitle = {2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)},
      year = {2025}
    }
    
  8. ResSVD: Residual Compensated SVD for Large Language Model Compression.
    Hongyu Bai, Shuo Jian, Tuo Liang, Yu Yin and Huan Wang.
    In arXiv preprint arXiv:2505.20112, 2025.
    @article{bai2025ressvd,
      title = {ResSVD: Residual Compensated SVD for Large Language Model Compression},
      author = {Bai, Hongyu and Jian, Shuo and Liang, Tuo and Yin, Yu and Wang, Huan},
      journal = {arXiv preprint arXiv:2505.20112},
      year = {2025}
    }
    
  9. Certified Causal Defense with Generalizable Robustness.
    Yiran Qiao, Yu Yin, Chen Chen and Jing Ma.
    In Proceedings of the AAAI Conference on Artificial Intelligence, 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},
      volume = {39},
      number = {19},
      year = {2025}
    }
    
  10. 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}
    }
    
  11. Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning.
    Zhe Hu, Jing Li, Zhongzhu Pu, Hou Pong Chan and Yu Yin.
    In arXiv preprint arXiv:2503.16965, 2025.
    @article{hu2025praxis,
      title = {Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning},
      author = {Hu, Zhe and Li, Jing and Pu, Zhongzhu and Chan, Hou Pong and Yin, Yu},
      journal = {arXiv preprint arXiv:2503.16965},
      year = {2025}
    }
    
  12. 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}
    }
    
  13. When Words Outperform Vision: VLMs Can Self-Improve via Text-Only Training for Human-Centered Decision Making.
    Zhe Hu, Jing Li and Yu Yin.
    In arXiv e-prints, arXiv:2503.16965, 2025.
    @article{hu2025whenwords,
      title = {When Words Outperform Vision: VLMs Can Self-Improve via Text-Only Training for Human-Centered Decision Making},
      author = {Hu, Zhe and Li, Jing and Yin, Yu},
      journal = {arXiv e-prints, arXiv:2503.16965},
      year = {2025}
    }
    
  14. 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 arXiv preprint arXiv:2503.22204, 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 = {arXiv preprint arXiv:2503.22204},
      year = {2025}
    }
    
  15. 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, 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},
      pages = {16532--16542},
      year = {2025}
    }
    
  16. Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation.
    Zhe Hu, Hou Pong Chan, Jing Li and Yu Yin.
    In Proceedings of the 31st International Conference on Computational Linguistics, 2025.
    @inproceedings{hu2025debatetowrite,
      title = {Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation},
      author = {Hu, Zhe and Chan, Hou Pong and Li, Jing and Yin, Yu},
      booktitle = {Proceedings of the 31st International Conference on Computational Linguistics},
      year = {2025}
    }
    

2024

  1. VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values.
    Zhe Hu, Yixiao Ren, Jing Li and Yu Yin.
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.
    @inproceedings{hu2024viva,
      title = {VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values},
      author = {Hu, Zhe and Ren, Yixiao and Li, Jing and Yin, Yu},
      booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
      year = {2024}
    }
    
  2. View-Consistent Object Removal in Radiance Fields.
    Yiren Lu, Jing Ma and Yu Yin.
    In Proceedings of the 32nd ACM International Conference on Multimedia, 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},
      pages = {3597--3606},
      year = {2024}
    }
    
  3. AMERICANO: Argument Generation with Discourse-Driven Decomposition and Multi-Agent Interaction.
    Zhe Hu, Hou Pong Chan and Yu Yin.
    In Proceedings of the 17th International Natural Language Generation Conference, 2024.
    @inproceedings{hu2024americano,
      title = {AMERICANO: Argument Generation with Discourse-Driven Decomposition and Multi-Agent Interaction},
      author = {Hu, Zhe and Chan, Hou Pong and Yin, Yu},
      booktitle = {Proceedings of the 17th International Natural Language Generation Conference},
      year = {2024}
    }
    
  4. 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, 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},
      volume = {37},
      pages = {47166--47188},
      year = {2024}
    }
    

2023

  1. Nerfinvertor: High fidelity nerf-gan inversion for single-shot real image animation.
    Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong and Yun Fu.
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8539–8548, 2023.
    @inproceedings{yin2023nerfinvertor,
      title = {Nerfinvertor: High fidelity nerf-gan inversion for single-shot real image animation},
      author = {Yin, Yu and Ghasedi, Kamran and Wu, HsiangTao and Yang, Jiaolong and Tong, Xin and Fu, Yun},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {8539--8548},
      year = {2023}
    }