Guibo Luo

北京大学 English Version / 英文版

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北京大学信息工程学院助理教授/研究员、博士生导师,海外高层次人才,广东省高层次人才,“鹏城孔雀计划”特聘岗位专家。曾在哈佛大学医学院/麻省总医院从事博士后研究工作近4年。主要从事医学大模型、生理信号智能分析与多机构医学数据隐私协同计算研究。重点围绕大模型训练与推理优化、脑电及多模态生理行为建模、医学影像精准分割与诊断,以及基础模型与轻量模型协同优化等关键问题开展研究。相关方法已应用于神经发育疾病评估、智能健康监测,以及面向特殊人群的智能陪伴与干预辅助等场景。获得北京大学第二十四届青年教师教学基本功比赛优秀奖,获ACL SAC Highlights奖, MICCAI Best Paper Shortlist。发表了包括IEEE TPAMI、IEEE JBHI、Radiology: AI、IEEE TCSVT、IEEE TCDS、Journal of Digital Imaging、CVPR、ECCV、AAAI、ACL、USENIX 、ICSE 、IJCAI、MICCAI等国际顶级期刊和会议论文100多篇。

学术动态

2026年09月30日 我们的脑电信号基础模型 LEGEND 入围 MICCAI 2026 最佳论文奖(Top 0.5%)!
2026年09月25日 我们的多任务零样本脑电信号基础模型 BrainCoT 被 NeurIPS 2026 录用!
2026年07月20日 我们关于视频多模态大语言模型时序推理的论文 COMET 被 ACM Multimedia 2026 录用!
2026年07月07日 我们的语言引导多模态脑电信号基础模型 METIS 被 Advanced Intelligent Systems 接收!该研究成果还获得了 Wiley 官方报道及科技媒体关注。
2026年07月05日 我们的论文 SeLaR 荣获 ACL 2026 SAC Highlight Award!

代表性论文

  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
  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
  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
  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
  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
  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
  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
  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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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