Guibo Luo
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%)! |
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| 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
- NeurIPSBrainCoT: A Multi-Task Zero-Shot Brain Signal Foundation Model with Neurometric-Anchored Chain-of-Thought ReasoningIn Proceedings of the 40th Annual Conference on Neural Information Processing Systems, 2026
- MICCAILEGEND: A Language-Aligned EEG Foundation Model with Flow Matching Latent DenoisingIn International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2026
- MICCAIMedTS-TTT: Test-Time Training for Medical Time Series ClassificationIn International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2026
- AISA Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal AnalysisAdvanced Intelligent Systems, Sep 2026
- AAAIDSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight ModelsIn Proceedings of the AAAI Conference on Artificial Intelligence, 2026
- AAAIFeature-aware one-shot federated learning via hierarchical token sequencesIn Proceedings of the AAAI Conference on Artificial Intelligence, 2026
- ICASSPFrom Lightweight Client Models to a Foundation Model in One Shot with Generative Distillation for Medical Image SegmentationIn IEEE International Conference on Acoustics, Speech and Signal Processing, 2026
- ICASSPSSDDB: A Semantic-Structural Dual-Drive Pretraining Framework for Brain SignalsIn IEEE International Conference on Acoustics, Speech and Signal Processing, 2026
- ICSEAttention Distance: A Novel Metric for Directed Fuzzing with Large Language ModelsIn IEEE/ACM International Conference on Software Engineering, 2026
- MICCAIMeddiff-FT: Data-efficient diffusion model fine-tuning with structural guidance for controllable medical image synthesisIn International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025
- ECAIA new one-shot federated learning framework for medical imaging classification with feature-guided rectified flow and knowledge distillationIn European Conference on Artificial Intelligence, 2025
- COLINGUnraveling the mystery: Defending against jailbreak attacks via unearthing real intentionIn Proceedings of the International Conference on Computational Linguistics, 2025
- MICCAIFedfms: Exploring federated foundation models for medical image segmentationIn International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
- ECCVAdaifl: Adaptive image forgery localization via a dynamic and importance-aware transformer networkIn European Conference on Computer Vision, 2024