publications

2026

1. NeurIPS

   BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought Reasoning

   Yiyu Gui, MingZhi Chen, Guibo Luo^*, and Yuchao Yang^*

   In Proceedings of the 40th Annual Conference on Neural Information Processing Systems, 2026

   Bib

   @inproceedings{gui2026BrainCOT,
     title = {{BrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought Reasoning}},
     author = {Gui, Yiyu and Chen, MingZhi and Luo, Guibo and Yang, Yuchao},
     booktitle = {Proceedings of the 40th Annual Conference on Neural Information Processing Systems},
     publisher = {NeurIPS},
     year = {2026},
   }

2. ACL

   SeLaR: Selective Latent Reasoning in Large Language Models

   Renyu Fu and Guibo Luo^*

   In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, Jul 2026

   DOI Bib HTML PDF

   @inproceedings{fu-luo-2026-selar,
     title = {{SeLaR: Selective Latent Reasoning in Large Language Models}},
     author = {Fu, Renyu and Luo, Guibo},
     booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics},
     year = {2026},
     month = jul,
     pages = {7073--7087},
     publisher = {Association for Computational Linguistics},
     address = {San Diego, California, United States},
     doi = {10.18653/v1/2026.acl-long.320},
   }

3. ACL

   LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model

   Yanhao Li, Lu Ma, Jiaran Zhang, Lexiang Tang, Wentao Zhang, and Guibo Luo^*

   In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, Jul 2026

   DOI Bib HTML PDF

   @inproceedings{li-etal-2026-leash,
     title = {{LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model}},
     author = {Li, Yanhao and Ma, Lu and Zhang, Jiaran and Tang, Lexiang and Zhang, Wentao and Luo, Guibo},
     booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics},
     year = {2026},
     month = jul,
     pages = {2846--2856},
     publisher = {Association for Computational Linguistics},
     address = {San Diego, California, United States},
     doi = {10.18653/v1/2026.acl-long.129},
   }

4. MICCAI

   LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising

   Yiyu Gui, MingZhi Chen, and Guibo Luo^*

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2026

   Bib

   @inproceedings{gui2026legendlanguagealignedeegfoundationmodelwithflowmatching,
     title = {{LEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent Denoising}},
     author = {Gui, Yiyu and Chen, MingZhi and Luo, Guibo},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     year = {2026},
     month = sep,
   }

5. MICCAI

   MedTS-TTT: Test-Time Training for Medical Time Series Classification

   Mingzhi Chen, Yiyu Gui, and Guibo Luo^*

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2026

   Bib

   @inproceedings{chen2026medtsttttesttimetrainingformedicaltimeseriesclassificat,
     title = {{MedTS-TTT: Test-Time Training for Medical Time Series Classification}},
     author = {Chen, Mingzhi and Gui, Yiyu and Luo, Guibo},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     year = {2026},
     month = sep,
   }

6. AIS

   A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

   M. Chen, Y. Gui, Guibo Luo^*, and Y. Yang^*

   Advanced Intelligent Systems, Sep 2026

   Bib

   @article{chen2026languageguidedmultimodalfoundationmodelforzeroshotandmu,
     title = {{A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis}},
     author = {Chen, M. and Gui, Y. and Luo, Guibo and Yang, Y.},
     journal = {Advanced Intelligent Systems},
     year = {2026},
     month = sep,
     pages = {e70486},
   }

7. AAAI

   DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models

   H. Zhang, Q. Shen, Y. Liu, Y. Zhu, and Guibo Luo

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

   Bib

   @inproceedings{zhang2026dsfedmeddualscalefederatedmedicalimagesegmentationviamu,
     title = {{DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models}},
     author = {Zhang, H. and Shen, Q. and Liu, Y. and Zhu, Y. and Luo, Guibo},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     year = {2026},
     volume = {40},
     number = {15},
   }

8. AAAI

   Feature-aware one-shot federated learning via hierarchical token sequences

   S. Liu, H. Zhang, X. Wang, Y. Zhu, and Guibo Luo

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

   Bib

   @inproceedings{liu2026featureawareoneshotfederatedlearningviahierarchicaltoke,
     title = {{Feature-aware one-shot federated learning via hierarchical token sequences}},
     author = {Liu, S. and Zhang, H. and Wang, X. and Zhu, Y. and Luo, Guibo},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     year = {2026},
     volume = {40},
     number = {28},
   }

9. ICIP

   Manifold-Guided Unified Learning for Partial-Label Domain Adaptation

   Y. Pan, Guibo Luo, and Y. Zhu

   In IEEE International Conference on Image Processing, 2026

   Bib

   @inproceedings{pan2026manifoldguidedunifiedlearningforpartiallabeldomainadapt,
     title = {{Manifold-Guided Unified Learning for Partial-Label Domain Adaptation}},
     author = {Pan, Y. and Luo, Guibo and Zhu, Y.},
     booktitle = {IEEE International Conference on Image Processing},
     year = {2026},
     pages = {1--6}
   }

10. ESWA

    Head-Body Fusion via Shared Network for Multi-Person Tracking

    R. Liao, Z. Weng, Guibo Luo, Y. Zheng, and Z. Lin

    Expert Systems with Applications, 2026

    Bib

    @article{liao2026headbodyfusionviasharednetworkformultipersontracking,
      title = {{Head-Body Fusion via Shared Network for Multi-Person Tracking}},
      author = {Liao, R. and Weng, Z. and Luo, Guibo and Zheng, Y. and Lin, Z.},
      journal = {Expert Systems with Applications},
      year = {2026},
      pages = {134363}
    }

11. ICDIP

    Self-correcting contrastive learning with pretrain-free copy-paste for semi-supervised medical image segmentation

    Z. Zhang, Y. Zhu, and Guibo Luo

    In International Conference on Digital Image Processing, 2026

    Bib

    @inproceedings{zhang2026selfcorrectingcontrastivelearningwithpretrainfreecopypa,
      title = {{Self-correcting contrastive learning with pretrain-free copy-paste for semi-supervised medical image segmentation}},
      author = {Zhang, Z. and Zhu, Y. and Luo, Guibo},
      booktitle = {International Conference on Digital Image Processing},
      year = {2026}
    }

12. Small Methods

    Large Language Model Guided Discovery of Hole Transport Layer Dopants for Efficient and Stable Perovskite Photovoltaics

    J. Wang, X. Xu, Q. Lou, H. Liu, Z. Xu, C. Chen, Q. Han, H. Zhang, and 3 more authors

    Small Methods, 2026

    Bib

    @article{wang2026largelanguagemodelguideddiscoveryholetransportlayerdopa,
      title = {{Large Language Model Guided Discovery of Hole Transport Layer Dopants for Efficient and Stable Perovskite Photovoltaics}},
      author = {Wang, J. and Xu, X. and Lou, Q. and Liu, H. and Xu, Z. and Chen, C. and Han, Q. and Zhang, H. and Guo, J. and Luo, Guibo and others},
      journal = {Small Methods},
      year = {2026},
      volume = {10},
      number = {16},
      pages = {e70894}
    }

13. IEEE Access

    LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation

    B. Guo, C. Zhou, F. Guo, X. Luo, Guibo Luo, and F. Zhang

    IEEE Access, 2026

    Bib

    @article{guo2026lgmposelightweightglobalmodelingnetworkforrealtimehuman,
      title = {{LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation}},
      author = {Guo, B. and Zhou, C. and Guo, F. and Luo, X. and Luo, Guibo and Zhang, F.},
      journal = {IEEE Access},
      year = {2026}
    }

14. arXiv

    Attribute-Prompted Kernel Hashing for Unsupervised Data-Efficient Cross-Modal Retrieval

    R. Li, X. Ma, Z. Weng, Y. Zhang, Guibo Luo, H. Zhuang, Z. Lin, and Y. P. Tan

    arXiv preprint arXiv:2607.00379, 2026

    Bib HTML PDF

    @article{li2026attributepromptedkernelhashingforunsuperviseddataeffici,
      title = {{Attribute-Prompted Kernel Hashing for Unsupervised Data-Efficient Cross-Modal Retrieval}},
      author = {Li, R. and Ma, X. and Weng, Z. and Zhang, Y. and Luo, Guibo and Zhuang, H. and Lin, Z. and Tan, Y. P.},
      journal = {arXiv preprint arXiv:2607.00379},
      year = {2026},
      archiveprefix = {arXiv},
    }

15. arXiv

    Unsupervised Data-Efficient Cross-Modal Retrieval with Global-Neighborhood Alignment Hashing

    R. Li, X. Ma, Z. Weng, Y. Zhang, Guibo Luo, H. Zhuang, Z. Lin, and Y. P. Tan

    arXiv preprint arXiv:2606.31517, 2026

    Bib HTML PDF

    @article{li2026unsuperviseddataefficientcrossmodalretrievalwithglobaln,
      title = {{Unsupervised Data-Efficient Cross-Modal Retrieval with Global-Neighborhood Alignment Hashing}},
      author = {Li, R. and Ma, X. and Weng, Z. and Zhang, Y. and Luo, Guibo and Zhuang, H. and Lin, Z. and Tan, Y. P.},
      journal = {arXiv preprint arXiv:2606.31517},
      year = {2026},
      archiveprefix = {arXiv},
    }

16. IJCAI

    SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning

    Yiyu Gui, Mingzhi Chen, Yuesheng Zhu, Guibo Luo^*, and Yuchao Yang^*

    International Joint Conference on Artificial Intelligence, 2026

    Bib HTML PDF

    @article{gui2026spotrspatiotemporalpoolingonetokenreconstructionforuniv,
      title = {{SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning}},
      author = {Gui, Yiyu and Chen, Mingzhi and Zhu, Yuesheng and Luo, Guibo and Yang, Yuchao},
      journal = {International Joint Conference on Artificial Intelligence},
      year = {2026},
      archiveprefix = {arXiv},
    }

17. SPL

    Generalized Face Recognition with Occlusion

    D. Zhang, Y. Liu, Guibo Luo, and Z. Weng

    IEEE Signal Processing Letters, 2026

    Bib

    @article{zhang2026generalizedfacerecognitionwithocclusion,
      title = {{Generalized Face Recognition with Occlusion}},
      author = {Zhang, D. and Liu, Y. and Luo, Guibo and Weng, Z.},
      journal = {IEEE Signal Processing Letters},
      year = {2026}
    }

18. CSCWD

    Semi-Supervised Medical Segmentation via Unlabeled Images from Efficiently Fine-Tuned Stable Diffusion

    Z. A. Zhang, J. Xie, Y. Zhu, and Guibo Luo

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2026

    Bib

    @inproceedings{zhang2026semisupervisedmedicalsegmentationviaunlabeledimagesfrom,
      title = {{Semi-Supervised Medical Segmentation via Unlabeled Images from Efficiently Fine-Tuned Stable Diffusion}},
      author = {Zhang, Z. A. and Xie, J. and Zhu, Y. and Luo, Guibo},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2026}
    }

19. CSCWD

    Exploring Machine Unlearning for Medical Imaging Foundation Models with Cross-Attention Fusion and Contrastive Learning

    Z. Guo, Guibo Luo, and Y. Zhu

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2026

    Bib

    @inproceedings{guo2026exploringmachineunlearningformedicalimagingfoundationmo,
      title = {{Exploring Machine Unlearning for Medical Imaging Foundation Models with Cross-Attention Fusion and Contrastive Learning}},
      author = {Guo, Z. and Luo, Guibo and Zhu, Y.},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2026}
    }

20. ICA3PP

    Learning and Bidirectional State Space

    D. Li, Y. Zhu, and Guibo Luo

    In International Conference on Algorithms and Architectures for Parallel Processing, 2026

    DOI Bib

    @inproceedings{li2026learningandbidirectionalstatespace,
      title = {{Learning and Bidirectional State Space}},
      author = {Li, D. and Zhu, Y. and Luo, Guibo},
      booktitle = {International Conference on Algorithms and Architectures for Parallel Processing},
      year = {2026},
      pages = {80--95},
      doi = {10.1007/978-981-95-8417-8_7}
    }

21. ICASSP

    From Lightweight Client Models to a Foundation Model in One Shot with Generative Distillation for Medical Image Segmentation

    Hanwen Zhang, Qiaojin Shen, Yufei Ma, Denghua Li, Yifan Pan, Yuesheng Zhu, and Guibo Luo^*

    In IEEE International Conference on Acoustics, Speech and Signal Processing, 2026

    Bib

    @inproceedings{zhang2026fromlightweightclientmodelsfoundationmodeloneshotwithge,
      title = {{From Lightweight Client Models to a Foundation Model in One Shot with Generative Distillation for Medical Image Segmentation}},
      author = {Zhang, Hanwen and Shen, Qiaojin and Ma, Yufei and Li, Denghua and Pan, Yifan and Zhu, Yuesheng and Luo, Guibo},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
      year = {2026},
    }

22. ICASSP

    SSDDB: A Semantic-Structural Dual-Drive Pretraining Framework for Brain Signals

    Mingzhi Chen, Yiyu Gui, Guibo Luo^*, and Yuchao Yang^*

    In IEEE International Conference on Acoustics, Speech and Signal Processing, 2026

    Bib

    @inproceedings{chen2026ssddbsemanticstructuraldualdrivepretrainingframeworkfor,
      title = {{SSDDB: A Semantic-Structural Dual-Drive Pretraining Framework for Brain Signals}},
      author = {Chen, Mingzhi and Gui, Yiyu and Luo, Guibo and Yang, Yuchao},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
      year = {2026},
    }

23. ICSE

    Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models

    W. Bin, A. Yang, K. Li, A. Liu, H. Li, Guibo Luo, W. Huang, and Y. Zhuang

    In IEEE/ACM International Conference on Software Engineering, 2026

    Bib

    @inproceedings{bin2026attentiondistancenovelmetricfordirectedfuzzingwithlarge,
      title = {{Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models}},
      author = {Bin, W. and Yang, A. and Li, K. and Liu, A. and Li, H. and Luo, Guibo and Huang, W. and Zhuang, Y.},
      booktitle = {IEEE/ACM International Conference on Software Engineering},
      year = {2026},
    }

24. arXiv

    Himac: Hierarchical macro-micro learning for long-horizon llm agents

    H. Jin, R. Zhu, J. Ding, Guibo Luo, and G. Li

    arXiv preprint arXiv:2603.00977, 2026

    Bib HTML PDF

    @article{jin2026himachierarchicalmacromicrolearningforlonghorizonllmage,
      title = {{Himac: Hierarchical macro-micro learning for long-horizon llm agents}},
      author = {Jin, H. and Zhu, R. and Ding, J. and Luo, Guibo and Li, G.},
      journal = {arXiv preprint arXiv:2603.00977},
      year = {2026},
      archiveprefix = {arXiv},
    }

25. arXiv

    Inference attacks against graph generative diffusion models

    X. Wang, X. Huang, Guibo Luo, and J. Xu

    arXiv preprint arXiv:2601.03701, 2026

    Bib HTML PDF

    @article{wang2026inferenceattacksagainstgraphgenerativediffusionmodels,
      title = {{Inference attacks against graph generative diffusion models}},
      author = {Wang, X. and Huang, X. and Luo, Guibo and Xu, J.},
      journal = {arXiv preprint arXiv:2601.03701},
      year = {2026},
      archiveprefix = {arXiv},
    }

2025

1. AFM

   Prediction and Fine Screening of Small Molecular Passivation Materials for High-Efficiency Perovskite Solar Cells via an Enhanced Machine Learning Workflow

   Qiang Lou, Jiazheng Wang, Zhaoyang Nie, Xinxin Xu, Zhengjie Xu, Maojun Sun, Guibo Luo, Hanchao Hu, and 3 more authors

   Advanced Functional Materials, 2025

   DOI Bib HTML

   @article{lou2025predictionandfinescreeningsmallmolecularpassivationmate,
     title = {{Prediction and Fine Screening of Small Molecular Passivation Materials for High-Efficiency Perovskite Solar Cells via an Enhanced Machine Learning Workflow}},
     author = {Lou, Qiang and Wang, Jiazheng and Nie, Zhaoyang and Xu, Xinxin and Xu, Zhengjie and Sun, Maojun and Luo, Guibo and Hu, Hanchao and Li, Jun and Tang, Man-Chung and Zhou, Hang},
     journal = {Advanced Functional Materials},
     year = {2025},
     volume = {35},
     number = {51},
     pages = {e11549},
     doi = {10.1002/adfm.202511549},
   }

2. PRICAI

   AgentFactory: Towards Automated Agentic System Design and Optimization

   E. Zhang, H. Wang, Y. Zhu, X. Cui, and Guibo Luo

   In Pacific Rim International Conference on Artificial Intelligence, 2025

   Bib

   @inproceedings{zhang2025agentfactorytowardsautomatedagenticsystemdesignandoptim,
     title = {{AgentFactory: Towards Automated Agentic System Design and Optimization}},
     author = {Zhang, E. and Wang, H. and Zhu, Y. and Cui, X. and Luo, Guibo},
     booktitle = {Pacific Rim International Conference on Artificial Intelligence},
     year = {2025},
     pages = {142--157}
   }

3. ICDMW

   NodeNAR: Non-Autoregressive Graph Generation via Masked Sequence Modeling

   Q. Yang, X. Wang, X. Liang, Y. Ma, Guibo Luo, and Y. Zhu

   In IEEE International Conference on Data Mining Workshops, 2025

   Bib

   @inproceedings{yang2025nodenarnonautoregressivegraphgenerationviamaskedsequenc,
     title = {{NodeNAR: Non-Autoregressive Graph Generation via Masked Sequence Modeling}},
     author = {Yang, Q. and Wang, X. and Liang, X. and Ma, Y. and Luo, Guibo and Zhu, Y.},
     booktitle = {IEEE International Conference on Data Mining Workshops},
     year = {2025},
     pages = {1103--1112}
   }

4. EcoMat

   Accelerated Data-Driven Discovery of Dual-Functional Ionic Liquid Passivation for FAPbI3 Perovskite Solar Cells Using Graph Neural Network

   Jiazheng Wang, Qiang Lou, Qingqing Zhang, Haibiao Chen, Zhengjie Xu, Hongye Liu, Hao Zhang, Xinxin Xu, and 4 more authors

   EcoMat, 2025

   DOI Bib HTML

   @article{wang2025accelerateddatadrivendiscoverydualfunctionalionicliquid,
     title = {{Accelerated Data-Driven Discovery of Dual-Functional Ionic Liquid Passivation for FAPbI3 Perovskite Solar Cells Using Graph Neural Network}},
     author = {Wang, Jiazheng and Lou, Qiang and Zhang, Qingqing and Chen, Haibiao and Xu, Zhengjie and Liu, Hongye and Zhang, Hao and Xu, Xinxin and Luo, Guibo and Lin, Yen-Hung and Amaratunga, Gehan and Zhou, Hang},
     journal = {EcoMat},
     year = {2025},
     volume = {7},
     number = {11},
     pages = {e70033},
     doi = {10.1002/eom2.70033},
   }

5. ICA3PP

   FLIDS-Mamba: Multi-Center Network Intrusion Detection Based on Federated Learning and Bidirectional State Space Model

   D. Li, Y. Zhu, and Guibo Luo

   In International Conference on Algorithms and Architectures for Parallel Processing, 2025

   Bib

   @inproceedings{li2025flidsmambamulticenternetworkintrusiondetectionbasedfede,
     title = {{FLIDS-Mamba: Multi-Center Network Intrusion Detection Based on Federated Learning and Bidirectional State Space Model}},
     author = {Li, D. and Zhu, Y. and Luo, Guibo},
     booktitle = {International Conference on Algorithms and Architectures for Parallel Processing},
     year = {2025}
   }

6. ICICS

   OTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentation

   H. Kan, Y. Zhu, Guibo Luo, and H. Zhang

   In International Conference on Information and Communications Security, 2025

   Bib

   @inproceedings{kan2025otteroptimizedtrainingwithtrustworthyenhancedreplicatio,
     title = {{OTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentation}},
     author = {Kan, H. and Zhu, Y. and Luo, Guibo and Zhang, H.},
     booktitle = {International Conference on Information and Communications Security},
     year = {2025},
     pages = {331--346}
   }

7. ICICM

   FMSRdiff: Efficient latent diffusion framework combining consistency model and flow matching for super-resolution

   Q. K. Peng, G. F. Cai, Y. H. Xu, K. C. Chang, L. Li, and Guibo Luo

   In International Conference on Integrated Circuits and Microsystems, 2025

   Bib

   @inproceedings{peng2025fmsrdiffefficientlatentdiffusionframeworkcombiningconsi,
     title = {{FMSRdiff: Efficient latent diffusion framework combining consistency model and flow matching for super-resolution}},
     author = {Peng, Q. K. and Cai, G. F. and Xu, Y. H. and Chang, K. C. and Li, L. and Luo, Guibo},
     booktitle = {International Conference on Integrated Circuits and Microsystems},
     year = {2025}
   }

8. MICCAI

   Meddiff-FT: Data-efficient diffusion model fine-tuning with structural guidance for controllable medical image synthesis

   J. Xie, Z. Zhang, Z. Weng, Y. Zhu, and Guibo Luo

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

   Bib

   @inproceedings{xie2025meddiffdataefficientdiffusionmodelfinetuningwithstructu,
     title = {{Meddiff-FT: Data-efficient diffusion model fine-tuning with structural guidance for controllable medical image synthesis}},
     author = {Xie, J. and Zhang, Z. and Weng, Z. and Zhu, Y. and Luo, Guibo},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
     year = {2025},
   }

9. arXiv

   FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective

   Z. Zhou, S. Liu, Z. Zhou, Y. Liu, Q. Yang, Y. Zhu, and Guibo Luo

   arXiv preprint arXiv:2508.09174, 2025

   Bib HTML PDF

   @article{zhou2025fedmptacklingmedicalfeatureheterogeneityfederatedlearni,
     title = {{FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective}},
     author = {Zhou, Z. and Liu, S. and Zhou, Z. and Liu, Y. and Yang, Q. and Zhu, Y. and Luo, Guibo},
     journal = {arXiv preprint arXiv:2508.09174},
     year = {2025},
     archiveprefix = {arXiv},
   }

10. MTE

    Accelerating ionic liquid research in perovskite solar cells through machine learning: opportunities and challenges

    J. Wang, Q. Lou, Z. Xu, Y. Jin, Guibo Luo, and H. Zhou

    Materials Today Electronics, 2025

    Bib

    @article{wang2025acceleratingionicliquidresearchperovskitesolarcellsthro,
      title = {{Accelerating ionic liquid research in perovskite solar cells through machine learning: opportunities and challenges}},
      author = {Wang, J. and Lou, Q. and Xu, Z. and Jin, Y. and Luo, Guibo and Zhou, H.},
      journal = {Materials Today Electronics},
      year = {2025},
      volume = {12},
      pages = {100143}
    }

11. CAAI TIT

    Appearance consistency and motion coherence learning for internal video inpainting

    R. Liu, Y. Zhu, and Guibo Luo

    CAAI Transactions on Intelligence Technology, 2025

    Bib

    @article{liu2025appearanceconsistencyandmotioncoherencelearningforinter,
      title = {{Appearance consistency and motion coherence learning for internal video inpainting}},
      author = {Liu, R. and Zhu, Y. and Luo, Guibo},
      journal = {CAAI Transactions on Intelligence Technology},
      year = {2025},
      volume = {10},
      number = {3},
      pages = {827--841}
    }

12. arXiv

    VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing

    Hongbo Jin, Jiayu Ding, Siyi Xie, Guibo Luo, and Ge Li

    arXiv preprint arXiv:2505.11830, 2025

    Bib HTML PDF

    @article{jin2025vistamitigatingsemanticinertiavideollmsviatrainingfreed,
      title = {{VISTA: Mitigating Semantic Inertia in Video-LLMs via Training-Free Dynamic Chain-of-Thought Routing}},
      author = {Jin, Hongbo and Ding, Jiayu and Xie, Siyi and Luo, Guibo and Li, Ge},
      journal = {arXiv preprint arXiv:2505.11830},
      year = {2025},
      archiveprefix = {arXiv},
    }

13. CSCWD

    DeformSleepNet: Adaptive Multi-Level Feature Extraction for Enhanced Sleep Stage Classification

    H. Xu, Y. Zhu, and Guibo Luo

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2025

    Bib

    @inproceedings{xu2025deformsleepnetadaptivemultilevelfeatureextractionforenh,
      title = {{DeformSleepNet: Adaptive Multi-Level Feature Extraction for Enhanced Sleep Stage Classification}},
      author = {Xu, H. and Zhu, Y. and Luo, Guibo},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2025}
    }

14. CSCWD

    A physical backdoor attack against practical federated learning

    Y. Li, X. Lu, Guibo Luo, and Y. Zhu

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2025

    Bib

    @inproceedings{li2025physicalbackdoorattackagainstpracticalfederatedlearning,
      title = {{A physical backdoor attack against practical federated learning}},
      author = {Li, Y. and Lu, X. and Luo, Guibo and Zhu, Y.},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2025}
    }

15. CSCWD

    MFDF-IML: Multi-Feature Dynamic Fusion for Image Manipulation Localization

    X. Lu, F. Cheng, Guibo Luo, and Y. Zhu

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2025

    Bib

    @inproceedings{lu2025mfdfimlmultifeaturedynamicfusionforimagemanipulationloc,
      title = {{MFDF-IML: Multi-Feature Dynamic Fusion for Image Manipulation Localization}},
      author = {Lu, X. and Cheng, F. and Luo, Guibo and Zhu, Y.},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2025}
    }

16. CSCWD

    RGB Single-Channel Frequency Domain Backdoor Attack on Image Manipulation Localization

    X. Lu, Y. Li, Guibo Luo, and Y. Zhu

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2025

    Bib

    @inproceedings{lu2025rgbsinglechannelfrequencydomainbackdoorattackimagemanip,
      title = {{RGB Single-Channel Frequency Domain Backdoor Attack on Image Manipulation Localization}},
      author = {Lu, X. and Li, Y. and Luo, Guibo and Zhu, Y.},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2025}
    }

17. CSCWD

    Robust Image Hashing Based on Mixture-of-Experts with Hard-Sample Mining Contrastive Learning

    C. Yang, Guibo Luo, Y. Zhu, and X. Liu

    In IEEE International Conference on Computer Supported Cooperative Work in Design, 2025

    Bib

    @inproceedings{yang2025robustimagehashingbasedmixtureexpertswithhardsamplemini,
      title = {{Robust Image Hashing Based on Mixture-of-Experts with Hard-Sample Mining Contrastive Learning}},
      author = {Yang, C. and Luo, Guibo and Zhu, Y. and Liu, X.},
      booktitle = {IEEE International Conference on Computer Supported Cooperative Work in Design},
      year = {2025}
    }

18. arXiv

    CoT-Vid: Dynamic Chain-of-Thought Routing with Self Verification for Training-Free Video Reasoning

    Hongbo Jin, Ruyang Liu, Wenhao Zhang, Guibo Luo, and Ge Li

    arXiv preprint arXiv:2505.11830, 2025

    Bib HTML PDF

    @article{jin2025cotviddynamicchainthoughtroutingwithselfverificationfor,
      title = {{CoT-Vid: Dynamic Chain-of-Thought Routing with Self Verification for Training-Free Video Reasoning}},
      author = {Jin, Hongbo and Liu, Ruyang and Zhang, Wenhao and Luo, Guibo and Li, Ge},
      journal = {arXiv preprint arXiv:2505.11830},
      year = {2025},
      archiveprefix = {arXiv},
    }

19. AAAI

    Robust image hashing based on contrastive masked autoencoder with weak-strong augmentation alignment

    C. Yang, Guibo Luo, Y. Zhu, J. Li, and X. Liu

    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025

    Bib

    @inproceedings{yang2025robustimagehashingbasedcontrastivemaskedautoencoderwith,
      title = {{Robust image hashing based on contrastive masked autoencoder with weak-strong augmentation alignment}},
      author = {Yang, C. and Luo, Guibo and Zhu, Y. and Li, J. and Liu, X.},
      booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
      year = {2025},
      volume = {39},
      number = {9},
      pages = {9157--9165}
    }

20. ICASSP

    SpikingPoint: Rethinking point as spike for efficient 3D point cloud analysis

    Z. Zhou, Y. Lu, J. Zhan, Guibo Luo, and Y. Zhu

    In IEEE International Conference on Acoustics, Speech and Signal Processing, 2025

    Bib

    @inproceedings{zhou2025spikingpointrethinkingpointspikeforefficientpointclouda,
      title = {{SpikingPoint: Rethinking point as spike for efficient 3D point cloud analysis}},
      author = {Zhou, Z. and Lu, Y. and Zhan, J. and Luo, Guibo and Zhu, Y.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
      year = {2025}
    }

21. AEJ

    Bacvc: Bi-adaptive and cross-view consistency for incomplete multi-view subspace clustering

    J. Zhan, Y. Zhu, and Guibo Luo

    Alexandria Engineering Journal, 2025

    Bib

    @article{zhan2025bacvcadaptiveandcrossviewconsistencyforincompletemultiv,
      title = {{Bacvc: Bi-adaptive and cross-view consistency for incomplete multi-view subspace clustering}},
      author = {Zhan, J. and Zhu, Y. and Luo, Guibo},
      journal = {Alexandria Engineering Journal},
      year = {2025},
      volume = {119},
      pages = {623--633}
    }

22. JBHI

    Non-IID medical image segmentation based on cascaded diffusion model for diverse multi-center scenarios

    H. Zhang, M. Chen, Y. Liu, Guibo Luo, and Y. Zhu

    IEEE Journal of Biomedical and Health Informatics, Mar 2025

    Bib HTML

    @article{zhang2025noniidmedicalimagesegmentationbasedcascadeddiffusionmod,
      title = {{Non-IID medical image segmentation based on cascaded diffusion model for diverse multi-center scenarios}},
      author = {Zhang, H. and Chen, M. and Liu, Y. and Luo, Guibo and Zhu, Y.},
      journal = {IEEE Journal of Biomedical and Health Informatics},
      year = {2025},
      month = mar,
      pages = {5042 - 5055},
      publisher = {IEEE},
    }

23. JBHI

    Federated Learning for Medical Image Classification: A Comprehensive Benchmark

    Z. Zhou, Guibo Luo, M. Chen, Z. Weng, and Y. Zhu

    IEEE Journal of Biomedical and Health Informatics, Nov 2025

    Bib HTML

    @article{zhou2025federatedlearningformedicalimageclassificationcomprehen,
      title = {{Federated Learning for Medical Image Classification: A Comprehensive Benchmark}},
      author = {Zhou, Z. and Luo, Guibo and Chen, M. and Weng, Z. and Zhu, Y.},
      journal = {IEEE Journal of Biomedical and Health Informatics},
      year = {2025},
      month = nov,
      pages = {5339 - 5352},
      publisher = {IEEE},
    }

24. ECAI

    A new one-shot federated learning framework for medical imaging classification with feature-guided rectified flow and knowledge distillation

    Y. Ma, H. Zhang, Q. Yang, Guibo Luo, and Y. Zhu

    In European Conference on Artificial Intelligence, 2025

    Bib

    @inproceedings{ma2025newoneshotfederatedlearningframeworkformedicalimagingcl,
      title = {{A new one-shot federated learning framework for medical imaging classification with feature-guided rectified flow and knowledge distillation}},
      author = {Ma, Y. and Zhang, H. and Yang, Q. and Luo, Guibo and Zhu, Y.},
      booktitle = {European Conference on Artificial Intelligence},
      year = {2025},
    }

25. COLING

    Unraveling the mystery: Defending against jailbreak attacks via unearthing real intention

    Y. Li, H. Chen, H. Zhang, Z. Ge, T. Li, S. Xu, and Guibo Luo

    In Proceedings of the International Conference on Computational Linguistics, 2025

    Bib

    @inproceedings{li2025unravelingthemysterydefendingagainstjailbreakattacksvia,
      title = {{Unraveling the mystery: Defending against jailbreak attacks via unearthing real intention}},
      author = {Li, Y. and Chen, H. and Zhang, H. and Ge, Z. and Li, T. and Xu, S. and Luo, Guibo},
      booktitle = {Proceedings of the International Conference on Computational Linguistics},
      year = {2025},
    }

2024

1. MIDL

   Paan: Pyramid attention augmented network for polyp segmentation

   S. Yi, Y. Zhu, and Guibo Luo

   In Medical Imaging with Deep Learning, 2024

   Bib

   @inproceedings{yi2024paanpyramidattentionaugmentednetworkforpolypsegmentatio,
     title = {{Paan: Pyramid attention augmented network for polyp segmentation}},
     author = {Yi, S. and Zhu, Y. and Luo, Guibo},
     booktitle = {Medical Imaging with Deep Learning},
     year = {2024}
   }

2. ICONIP

   A Federated Domain Generalization Method by Enhancing Knowledge Distillation with Stylistic Feature Dispatcher

   G. Wang, Y. Zhu, Guibo Luo, J. Ling, and L. Xie

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{wang2024federateddomaingeneralizationmethodenhancingknowledgedi,
     title = {{A Federated Domain Generalization Method by Enhancing Knowledge Distillation with Stylistic Feature Dispatcher}},
     author = {Wang, G. and Zhu, Y. and Luo, Guibo and Ling, J. and Xie, L.},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {234--247}
   }

3. ICONIP

   TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image Models Through Attention and Sample Modulation

   Q. Guo, Guibo Luo, Z. Bai, and Y. Zhu

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{guo2024tfcmtuningfreefacialconcepterasuretextimagemodelsthroug,
     title = {{TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image Models Through Attention and Sample Modulation}},
     author = {Guo, Q. and Luo, Guibo and Bai, Z. and Zhu, Y.},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {165--180}
   }

4. ICONIP

   LoTraNet: Locality-Guided Transformer Network for Image Manipulation Localization

   F. Cheng, Y. Li, X. Lu, Guibo Luo, and Y. Zhu

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{cheng2024lotranetlocalityguidedtransformernetworkforimagemanipul,
     title = {{LoTraNet: Locality-Guided Transformer Network for Image Manipulation Localization}},
     author = {Cheng, F. and Li, Y. and Lu, X. and Luo, Guibo and Zhu, Y.},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {1--14}
   }

5. ICONIP

   Fine-Grained Transformer Encoder of Image-Text Retrieval for Streaming Data in Cross-Modal Continual Learning

   H. Li, J. Zhan, Y. Zhu, and Guibo Luo

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{li2024finegrainedtransformerencoderimagetextretrievalforstrea,
     title = {{Fine-Grained Transformer Encoder of Image-Text Retrieval for Streaming Data in Cross-Modal Continual Learning}},
     author = {Li, H. and Zhan, J. and Zhu, Y. and Luo, Guibo},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {60--76}
   }

6. ICONIP

   OKey: Towards More Controllable, Secure and Robust Diffusion Model Image Steganography Using Optimized Key

   D. Yue, Guibo Luo, and Y. Zhu

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{yue2024okeytowardsmorecontrollablesecureandrobustdiffusionmode,
     title = {{OKey: Towards More Controllable, Secure and Robust Diffusion Model Image Steganography Using Optimized Key}},
     author = {Yue, D. and Luo, Guibo and Zhu, Y.},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {346--360}
   }

7. ICONIP

   MambaFuse: Fusing Multi-scale Mamba and CNN Features for Seizure Prediction

   D. Pan, Guibo Luo, and Y. Zhu

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{pan2024mambafusefusingmultiscalemambaandcnnfeaturesforseizurep,
     title = {{MambaFuse: Fusing Multi-scale Mamba and CNN Features for Seizure Prediction}},
     author = {Pan, D. and Luo, Guibo and Zhu, Y.},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {399--413}
   }

8. ICONIP

   Seizure Prediction Based on Multi-scale Fusion-Attention Transformer

   D. Pan, Guibo Luo, and Y. Zhu

   In International Conference on Neural Information Processing, 2024

   Bib

   @inproceedings{pan2024seizurepredictionbasedmultiscalefusionattentiontransfor,
     title = {{Seizure Prediction Based on Multi-scale Fusion-Attention Transformer}},
     author = {Pan, D. and Luo, Guibo and Zhu, Y.},
     booktitle = {International Conference on Neural Information Processing},
     year = {2024},
     pages = {182--196}
   }

9. ICPR

   DACOA: Diffusion-aligned coherent augmentation and consistency constraint strategies for federated domain generalization

   G. Wang, Y. Zhu, and Guibo Luo

   In International Conference on Pattern Recognition, 2024

   Bib

   @inproceedings{wang2024dacoadiffusionalignedcoherentaugmentationandconsistency,
     title = {{DACOA: Diffusion-aligned coherent augmentation and consistency constraint strategies for federated domain generalization}},
     author = {Wang, G. and Zhu, Y. and Luo, Guibo},
     booktitle = {International Conference on Pattern Recognition},
     year = {2024},
     pages = {176--191}
   }

10. TCDS

    Spatial-temporal spiking feature pruning in spiking transformer

    Z. Zhou, K. Che, J. Niu, M. Yao, G. Li, L. Yuan, Guibo Luo, and Y. Zhu

    IEEE Transactions on Cognitive and Developmental Systems, 2024

    Bib

    @article{zhou2024spatialtemporalspikingfeaturepruningspikingtransformer,
      title = {{Spatial-temporal spiking feature pruning in spiking transformer}},
      author = {Zhou, Z. and Che, K. and Niu, J. and Yao, M. and Li, G. and Yuan, L. and Luo, Guibo and Zhu, Y.},
      journal = {IEEE Transactions on Cognitive and Developmental Systems},
      year = {2024},
      volume = {17},
      number = {3},
      pages = {644--658}
    }

11. MICCAI

    Fedfms: Exploring federated foundation models for medical image segmentation

    Yuxi Liu, Guibo Luo^*, and Yuesheng Zhu^*

    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

    Bib

    @inproceedings{liu2024fedfmsexploringfederatedfoundationmodelsformedicalimage,
      title = {{Fedfms: Exploring federated foundation models for medical image segmentation}},
      author = {Liu, Yuxi and Luo, Guibo and Zhu, Yuesheng},
      booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
      year = {2024},
    }

12. ECCV

    Adaifl: Adaptive image forgery localization via a dynamic and importance-aware transformer network

    Y. Li, F. Cheng, W. Yu, G. Wang, Guibo Luo, and Y. Zhu

    In European Conference on Computer Vision, 2024

    Bib

    @inproceedings{li2024adaifladaptiveimageforgerylocalizationviadynamicandimpo,
      title = {{Adaifl: Adaptive image forgery localization via a dynamic and importance-aware transformer network}},
      author = {Li, Y. and Cheng, F. and Yu, W. and Wang, G. and Luo, Guibo and Zhu, Y.},
      booktitle = {European Conference on Computer Vision},
      year = {2024},
      pages = {477--493},
    }

13. ICANN

    Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-Level Forgery Enhancement

    Z. Yu, J. X. Li, G. Wang, Y. Zhu, and Guibo Luo

    In International Conference on Artificial Neural Networks, 2024

    Bib

    @inproceedings{yu2024generalizabledeepfakedetectionwithunbiasedfeatureextrac,
      title = {{Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-Level Forgery Enhancement}},
      author = {Yu, Z. and Li, J. X. and Wang, G. and Zhu, Y. and Luo, Guibo},
      booktitle = {International Conference on Artificial Neural Networks},
      year = {2024},
      pages = {275--288}
    }

14. arXiv

    EEGMamba: Bidirectional state space model with mixture of experts for EEG multi-task classification

    Y. Gui, M. Z. Chen, Y. Su, Guibo Luo, and Y. Yang

    arXiv preprint arXiv:2407.20254, 2024

    Bib HTML PDF

    @article{gui2024eegmambabidirectionalstatespacemodelwithmixtureexpertsf,
      title = {{EEGMamba: Bidirectional state space model with mixture of experts for EEG multi-task classification}},
      author = {Gui, Y. and Chen, M. Z. and Su, Y. and Luo, Guibo and Yang, Y.},
      journal = {arXiv preprint arXiv:2407.20254},
      year = {2024},
      archiveprefix = {arXiv},
    }

15. arXiv

    Improving EEG classification through randomly reassembling original and generated data with transformer-based diffusion models

    M. Chen, Y. Gui, Y. Su, Y. Zhu, Guibo Luo, and Y. Yang

    arXiv preprint arXiv:2407.20253, 2024

    Bib HTML PDF

    @article{chen2024improvingeegclassificationthroughrandomlyreassemblingor,
      title = {{Improving EEG classification through randomly reassembling original and generated data with transformer-based diffusion models}},
      author = {Chen, M. and Gui, Y. and Su, Y. and Zhu, Y. and Luo, Guibo and Yang, Y.},
      journal = {arXiv preprint arXiv:2407.20253},
      year = {2024},
      archiveprefix = {arXiv},
    }

16. A class incremental learning method with weight re-initialization and multiple distillation for image classification

    J. Zhu, Guibo Luo, and Y. Zhu

    In 2024 International Conference (full name to verify), 2024

    Bib

    @inproceedings{zhu2024classincrementallearningmethodwithweightinitializationa,
      title = {{A class incremental learning method with weight re-initialization and multiple distillation for image classification}},
      author = {Zhu, J. and Luo, Guibo and Zhu, Y.},
      booktitle = {2024 International Conference (full name to verify)},
      year = {2024}
    }

17. IJCNN

    Multi-scale image stitching based on unsupervised controllable fusion structure

    Y. Li, W. Yu, Y. Zhu, and Guibo Luo

    In International Joint Conference on Neural Networks, 2024

    Bib

    @inproceedings{li2024multiscaleimagestitchingbasedunsupervisedcontrollablefu,
      title = {{Multi-scale image stitching based on unsupervised controllable fusion structure}},
      author = {Li, Y. and Yu, W. and Zhu, Y. and Luo, Guibo},
      booktitle = {International Joint Conference on Neural Networks},
      year = {2024},
      pages = {1--7}
    }

18. IJCNN

    High resolution face privacy-enhancing method based on latent optimization with identity-preserving facial masking

    H. Tai, Y. Zhang, B. Guo, Guibo Luo, and Y. Zhu

    In International Joint Conference on Neural Networks, 2024

    Bib

    @inproceedings{tai2024highresolutionfaceprivacyenhancingmethodbasedlatentopti,
      title = {{High resolution face privacy-enhancing method based on latent optimization with identity-preserving facial masking}},
      author = {Tai, H. and Zhang, Y. and Guo, B. and Luo, Guibo and Zhu, Y.},
      booktitle = {International Joint Conference on Neural Networks},
      year = {2024},
      pages = {1--9}
    }

19. IJCNN

    Data augmentation in class-conditional diffusion model for semi-supervised medical image segmentation

    J. Zhang, Guibo Luo, Z. A. Zhang, and Y. Zhu

    In International Joint Conference on Neural Networks, 2024

    Bib

    @inproceedings{zhang2024dataaugmentationclassconditionaldiffusionmodelforsemisu,
      title = {{Data augmentation in class-conditional diffusion model for semi-supervised medical image segmentation}},
      author = {Zhang, J. and Luo, Guibo and Zhang, Z. A. and Zhu, Y.},
      booktitle = {International Joint Conference on Neural Networks},
      year = {2024},
      pages = {1--8}
    }

20. TCSVT

    Adaptive face recognition for multi-type occlusions

    Y. Liu, Guibo Luo, Z. Weng, and Y. Zhu

    IEEE Transactions on Circuits and Systems for Video Technology, 2024

    Bib

    @article{liu2024adaptivefacerecognitionformultitypeocclusions,
      title = {{Adaptive face recognition for multi-type occlusions}},
      author = {Liu, Y. and Luo, Guibo and Weng, Z. and Zhu, Y.},
      journal = {IEEE Transactions on Circuits and Systems for Video Technology},
      year = {2024},
      volume = {34},
      number = {11}
    }

21. ICMR

    Codedetector: revealing forgery traces with codebook for generalized deepfake detection

    J. Li, Z. Yu, Guibo Luo, and Y. Zhu

    In International Conference on Multimedia Retrieval, 2024

    Bib

    @inproceedings{li2024codedetectorrevealingforgerytraceswithcodebookforgenera,
      title = {{Codedetector: revealing forgery traces with codebook for generalized deepfake detection}},
      author = {Li, J. and Yu, Z. and Luo, Guibo and Zhu, Y.},
      booktitle = {International Conference on Multimedia Retrieval},
      year = {2024}
    }

22. ICEIEC

    AVSecure: An audio-visual watermarking framework for proactive deepfake detection

    B. Guo, H. Tai, Guibo Luo, and Y. Zhu

    In IEEE International Conference on Electronics Information and Emergency Communication, 2024

    Bib

    @inproceedings{guo2024avsecureaudiovisualwatermarkingframeworkforproactivedee,
      title = {{AVSecure: An audio-visual watermarking framework for proactive deepfake detection}},
      author = {Guo, B. and Tai, H. and Luo, Guibo and Zhu, Y.},
      booktitle = {IEEE International Conference on Electronics Information and Emergency Communication},
      year = {2024}
    }

23. SPL

    Class incremental learning with deep contrastive learning and attention distillation

    J. Zhu, Guibo Luo, B. Duan, and Y. Zhu

    IEEE Signal Processing Letters, 2024

    Bib

    @article{zhu2024classincrementallearningwithdeepcontrastivelearninganda,
      title = {{Class incremental learning with deep contrastive learning and attention distillation}},
      author = {Zhu, J. and Luo, Guibo and Duan, B. and Zhu, Y.},
      journal = {IEEE Signal Processing Letters},
      year = {2024},
      volume = {31},
      pages = {1224--1228}
    }

24. ICASSP

    Enhanced unsupervised domain adaptation with dual-attention between classification and domain alignment

    Y. Pan, Guibo Luo, B. Li, and Y. Zhu

    In IEEE International Conference on Acoustics, Speech and Signal Processing, 2024

    Bib

    @inproceedings{pan2024enhancedunsuperviseddomainadaptationwithdualattentionbe,
      title = {{Enhanced unsupervised domain adaptation with dual-attention between classification and domain alignment}},
      author = {Pan, Y. and Luo, Guibo and Li, B. and Zhu, Y.},
      booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing},
      year = {2024}
    }

25. arXiv

    Promamba: Prompt-mamba for polyp segmentation

    J. Xie, R. Liao, Z. Zhang, S. Yi, Y. Zhu, and Guibo Luo

    arXiv preprint arXiv:2403.13660, 2024

    Bib HTML PDF

    @article{xie2024promambapromptmambaforpolypsegmentation,
      title = {{Promamba: Prompt-mamba for polyp segmentation}},
      author = {Xie, J. and Liao, R. and Zhang, Z. and Yi, S. and Zhu, Y. and Luo, Guibo},
      journal = {arXiv preprint arXiv:2403.13660},
      year = {2024},
      archiveprefix = {arXiv},
    }

26. arXiv

    Mpcpa: Multi-center privacy computing with predictions aggregation based on denoising diffusion probabilistic model

    Guibo Luo, H. Zhang, X. Wang, M. Chen, and Y. Zhu

    arXiv preprint arXiv:2403.07838, 2024

    Bib HTML PDF

    @article{luo2024mpcpamulticenterprivacycomputingwithpredictionsaggregat,
      title = {{Mpcpa: Multi-center privacy computing with predictions aggregation based on denoising diffusion probabilistic model}},
      author = {Luo, Guibo and Zhang, H. and Wang, X. and Chen, M. and Zhu, Y.},
      journal = {arXiv preprint arXiv:2403.07838},
      year = {2024},
      archiveprefix = {arXiv},
    }

27. arXiv

    A Segmentation Foundation Model for Diverse-type Tumors

    J. Xie, Z. Zhang, Guibo Luo, and Y. Zhu

    arXiv preprint arXiv:2403.06396, 2024

    Bib HTML PDF

    @article{xie2024segmentationfoundationmodelfordiversetypetumors,
      title = {{A Segmentation Foundation Model for Diverse-type Tumors}},
      author = {Xie, J. and Zhang, Z. and Luo, Guibo and Zhu, Y.},
      journal = {arXiv preprint arXiv:2403.06396},
      year = {2024},
      archiveprefix = {arXiv},
    }

28. Otology

    An external validation study for automated segmentation of vestibular schwannoma

    Krish Suresh, Guibo Luo, Ryan A. Bartholomew, Alyssa Brown, Amy F. Juliano, Daniel J. Lee, D. Bradley Welling, Wenli Cai, and 1 more author

    Otology & Neurotology, 2024

    DOI Bib HTML

    @article{suresh2024externalvalidationstudyforautomatedsegmentationvestibul,
      title = {{An external validation study for automated segmentation of vestibular schwannoma}},
      author = {Suresh, Krish and Luo, Guibo and Bartholomew, Ryan A. and Brown, Alyssa and Juliano, Amy F. and Lee, Daniel J. and Welling, D. Bradley and Cai, Wenli and Crowson, Matthew G.},
      journal = {Otology & Neurotology},
      year = {2024},
      volume = {45},
      number = {3},
      pages = {e193--e197},
      doi = {10.1097/MAO.0000000000004125},
    }

29. EJR

    Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis

    Ke Zhang, Chaoran Liu, Jielin Pan, Yunfei Zhu, Ximeng Li, Jing Zheng, Yingying Zhan, Wenjuan Li, and 3 more authors

    European Journal of Radiology, 2024

    DOI Bib HTML

    @article{zhang2024usemribaseddeeplearningradiomicsdiagnosesacroiliitisrel,
      title = {{Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis}},
      author = {Zhang, Ke and Liu, Chaoran and Pan, Jielin and Zhu, Yunfei and Li, Ximeng and Zheng, Jing and Zhan, Yingying and Li, Wenjuan and Li, Shaolin and Luo, Guibo and Hong, Guobin},
      journal = {European Journal of Radiology},
      year = {2024},
      volume = {172},
      pages = {111347},
      doi = {10.1016/j.ejrad.2024.111347},
    }

30. ECAI

    Cross-stage transfer in multi-stage cascade ranking and filtering systems

    Y. Pan, Guibo Luo, and Y. Zhu

    In European Conference on Artificial Intelligence, 2024

    Bib

    @inproceedings{pan2024crossstagetransfermultistagecascaderankingandfilterings,
      title = {{Cross-stage transfer in multi-stage cascade ranking and filtering systems}},
      author = {Pan, Y. and Luo, Guibo and Zhu, Y.},
      booktitle = {European Conference on Artificial Intelligence},
      year = {2024}
    }

31. JCAT

    Comparison of Diatrizoate and Iohexol for Patient Acceptance and Fecal-Tagging Performance in Noncathartic CT Colonography

    Y. Chen, L. Feng, Z. Huang, W. Zou, Guibo Luo, G. Dai, W. Zhao, W. Cai, and 1 more author

    Journal of Computer Assisted Tomography, 2024

    Bib

    @article{chen2024comparisondiatrizoateandiohexolforpatientacceptanceandf,
      title = {{Comparison of Diatrizoate and Iohexol for Patient Acceptance and Fecal-Tagging Performance in Noncathartic CT Colonography}},
      author = {Chen, Y. and Feng, L. and Huang, Z. and Zou, W. and Luo, Guibo and Dai, G. and Zhao, W. and Cai, W. and Luo, M.},
      journal = {Journal of Computer Assisted Tomography},
      year = {2024},
      volume = {48},
      number = {1},
      pages = {55--63}
    }