罗桂波，炸金花-炸金花在线游戏平台 助理教授/研究员、博士生导师，海外高层次人才。在华南理工大学获得学士学位，北京大学获得硕士和博士学位，博士毕业后在哈佛大学医炸金花 /麻省总医院从事博士后研究工作。从事研究领域包括：AI for science,特别是利用智能分析算法从多家医院数据中提取科学规律与量化指标，实现疾病定量诊疗；多方隐私计算，在多方参与计算场景下保障隐私不泄露并实现高性能模型训练。积极推动智能算法赋能于临床医学的应用与发展，直接辅助医生更准确及高效率诊断疾病。以第一作者身份发表了包括IEEE T-PAMI、Radiology: AI、IEEE TCSVT、IEEE TNNLS、CVPR、ECCV、AAAI、IJCAI、MICCAI等国际顶级期刊和会议，并担任IEEE TIP，IEEE Transactions on Broadcasting、IEEE TNNLS、Knowledge-Based Systems、CVPR、ICLR、NeurIPS、MICCAI等国际期刊会议审稿人，多次受邀在放射学顶级大会RSNA做口头报告。

本实验室欢迎优秀的本科生/硕士生推免或报考硕士/博士研究生，同时也欢迎实习生和博士后申请者。

“高级程序设计与实践”：该课程以应用实践为目标，紧密跟踪计算机科学、软件工程及人工智能的发展与需求变化。课程在系统地论述软件工程、编程语言和程序设计的基础上，重点讲述现代程序设计的并发处理、编程优化实践、代码编写安全方法、异常处理，以及软件开发的新技术和新工具等。最后讲述程序设计实践，包括跨语言跨平台编程、数据挖掘与科学统计、人工智能编程、深度学习模型的效率优化。

1.Yanhao Li, Hongshen Chen, Heng Zhang, Zhiwei Ge, Tianhao Li, Sulong Xu,Guibo Luo*, “Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention”, The 31st International Conference on Computational Linguistics (COLING 2025).

2.Cundian Yang,Guibo Luo, Yuesheng Zhu, Jiaqi Li, Xiyao Liu, “Robust Image hashing based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment”, AAAI 2025.

3.Zhaokun Zhou, Yijie Lu, Jiaqiyu Zhan,Guibo Luo*, Yuesheng Zhu*, “SpikingPoint: Rethinking Point as Spike for Efficient 3D Point Cloud Analysis”, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025.

4.Zhaokun Zhou, Kaiwei Che, Jun Niu, Man Yao, Guoqi Li, Li Yuan,Guibo Luo*, Yuesheng Zhu*, "Spatial-Temporal Spiking Feature Pruning in Spiking Transformer", accepted for publication in IEEE Transactions on Cognitive and Developmental Systems, 2024.

5.Guangshuo Wang, Yuesheng Zhu,Guibo Luo*, "DACOA: Diffusion-Aligned Coherent Augmentation and Consistency Constraint Strategies for Federated Domain Generalization", International Conference on Pattern Recognition, pp. 176-191, 2024.

6.Yuxi Liu,Guibo Luo, Zhenyu Weng, Yuesheng Zhu, “Adaptive Face Recognition for Multi-Type Occlusions”, accepted for publication on IEEE Transactions on Circuits and Systems for Video Technology.（视频处理顶刊，研究内容：人脸识别中的安全与隐私计算）

7.Yuxi Li, Fuyuan Cheng, Wangbo Yu, Guangshuo Wang,Guibo Luo*, and Yuesheng Zhu*, “AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network”, accepted for publication on ECCV 2024.（计算机视觉顶会，研究内容：图像篡改区域检测）

8.Yuxi Liu,Guibo Luo*, Yuesheng Zhu*, “FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation”, accepted for publication on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024.（医学图像分析顶会，研究内容：针对大模型的联邦学习训练）

9.Ke Zhang, Chaoran Liu, Jielin Pan, Yunfei Zhu, Ximeng Li, Jing Zheng, Yingying Zhan, Wenjuan Li, Shaolin Li*,Guibo Luo*, Guobin Hong*. “Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis”, European Journal of Radiology, European Journal of Radiology,172, Feb. 2024.

10.Ke Zhang^#,Guibo Luo^#, Wenjuan Li^#, Yunfei Zhu^#, Jielin Pan, Ximeng Li, Chaoran Liu, Jianchao Liang, Yingying Zhan, Jing Zheng, Shaolin Li, Wenli Cai, Guobin Hong. “Automatic image segmentation and grading diagnosis of sacroiliitis associated with AS using a deep convolutional neural network on CT images”, Journal of Digital Imaging, vol 36, 2023: 2025-2034.

11.Guibo Luo, Tianyu Liu, Jinghui Lu, Xin Chen, Lequan Yu, Jian Wu, Danny Z. Chen, Wenli Cai. “Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation”, Radiology: Artificial Intelligence. vol. 5, no. 3, e220082, May 2023.（放射学顶刊，研究内容：联邦学习性能与数据分布间的关联）

12.Ziping Ma, Yuesheng Zhu,Guibo Luo, Xiyao Liu, Gerald Schaefer, Hui Fang, “Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery”, International Joint Conferences on Artificial Intelligence (IJCAI), 2023.（人工智能顶会，研究内容：鲁棒的图像隐写技术）

13.Guibo Luo, Tianyu Liu, Bin Li, Wenli Cai; “Deep-Cleansing: Deep-learning Based Electronic Cleansing in Dual-energy CT Colonography”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021, pp. 43-53.（医学图像分析顶会）

14.Guibo Luo, Yuesheng Zhu, Zhenyu Weng, Zhaotian Li, “A Disocclusion Inpainting Framework for Depth-based View Synthesis”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 42, no. 6, Jun. 2020.（人工智能顶刊）

15.Guibo Luo, Yuesheng Zhu, “Foreground Removal Approach for Hole Filling in 3D Video and FVV Synthesis”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, pp. 2118 - 2131, Oct, 2017.（视频处理顶刊）

16.Guibo Luo, Yuesheng Zhu, Zhaotian Li, Liming Zhang; “A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video”, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 1781-1789.（计算机视觉顶会）

1.基于数据生成的图像分割方法、装置和计算机设备，申请号：CN202411370398.8。

2.“基于去噪扩散模型数据生成的多中心隐私计算方法及系统”，申请号：CN202410274548.9。

3. “生物体存活个数检测方法及装置”，专利号：ZL201410136763.9。

4. “虚拟视点视频、图像的空洞填充方法、装置和终端”，申请号：PCT/CN2016/083746。

5.“一种自动对生物行为进行采集和跟踪以及分析的系统”,申请号：CN202010552186.7。

1. 专业范围：计算机科学技术、电子信息科学与技术；

2. 外语能力：英文六级或托福、雅思；

3. 具有独立思考能力和真诚可靠品质，积极主动，动手实践能力强。