主持项目

1. 同济大学附属第四人民医院“医学+X”项目，多模态融合数据驱动的TIA-AIS转化风险的精准预测与定量评估，2026年1月-2027年12月，主持

2. 上海市母胎医学重点实验室开放课题，基于多模态大模型的新生儿呼吸疾病智能诊断研究，2026年1月–2027年12月，主持

3. 同济大学学科交叉联合攻关项目，面向未来建筑的理论认知智能体建构：基于多模态知识图谱与大语言模型，重点项目，2025年9月-2026年9月，主持

4. 同济大学附属肺科医院“医学+X”项目，非小细胞肺癌病理与多组学融合智能评估新辅助免疫治疗疗效与预后，2025年1月-2026年12月，主持

5. 同济大学附属皮肤病医院“医学+X”项目，面向皮肤肿瘤的多模态影像人工智能解决方案，2025年1月-2026年12月，主持

6. 同济大学自主原创基础研究项目，复杂场景下医疗影像分析的多域泛化及根因分析，2022/11–2024/10，主持

7. 国家自然科学基金面上项目 基于多模态多中心MRI的肝癌微血管浸润深度预测算法及其可解释性研究 2023/01 – 2026/12 主持

8. 上海市科委项目子课题 基于多模态影像的脑卒中人工智能诊断预测模型算法研究 2019/06-2022/06 主持

9. 同济大学学学科交叉重大项目 基于音频、视频、多模态影像的神经退行性疾病早期智能诊断和预测系统的构建及应用 2019/08/01-2021/07/31 主持

10. 机器人学国家重点实验室联合基金 基于模糊语义理解的自然语言处理算法研究 2019/06/01-2020/05/31 主持

11. 国家自然科学基金青年项目 基于深度特征学习和扩增的图像显著性检测算法研究 2019/01-2021/12 主持

12. 上海市自然科学基金面上项目 基于深度学习的视觉注视点转移预测模型研究 2018/06-2021/05 主持

13. 国家自然科学基金重点项目 基于多模态影像的阿尔茨海默病早期智能评价和预测系统的关键技术研究及应用 2019/01-2023/12 参与

学术论文-国际期刊

1. Xinyu Liu, Ye Luo*, Yong Yi, Jipeng Zhang, Xukang Gao, Xiahai Zhunag, Cross-Supervision Similarity Network for Medical Image Classification on Imbalanced Small Datasets, accepted by Transaction on Medical Imaging, 2026.

2. Huilin Lai, Ye Luo*, Jianwei Lu, Unifying Spatial and Semantic Augmentation Strategies for Cross-Domain Semi-Supervised Medical Image Segmentation, in IEEE Transactions on Emerging Topics in Computational Intelligence, 2025. (SCI, IF:6.5, 中科院二区)

3. Bo Li, Yongqiang Yao, Jingru Tan, Dandan Zhu, Ruihao Gong, Ye Luo*, Jianwei Lu, Robust Long-Tailed Recognition with Distribution-Aware Adversarial Example Generation, in Neural Networks, 2025. (SCI, IF:6.8, CCF-B, 中科院二区)

4. Huilin Lai, Ye Luo*, Bo Li, Jianwei Lu, Junsong Yuan. Bilateral Proxy Federated Domain Generalization for Privacy-preserving Medical Image Diagnosis, in IEEE Journal of Biomedical and Health Informatics, 2024. (SCI, IF 6.7，CCF-C, 中科院一区)

5. Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo*, Rectify Representation Bias in Vision-Language Models for Long-Tailed Recognition, in Neural Networks, 2024. (SCI, IF:7.8, CCF-B, 中科院一区)

6. Huilin Lai, Ye Luo*, Bo Li, Guokai Zhang, Jianwei Lu. Domain-Aware Dual Attention for Generalized Medical Image Segmentation on Unseen Domains, in IEEE Journal of Biomedical and Health Informatics, 2023. (SCI, IF 7.03，中科院一区)

7. Xinyu Liu, Ye Luo*, Yumin Lu, Ya Jin, Quang-Viet Vu,Zhengyi Kong*, A dual attention network for automatic metallic corrosion detection in natural environment, Journal of Building Engineering, Volume 42, 2021. (SCI, 中科院二区)

8. Bao-Ye Sun, Peiyi Gu, Ruo Yu Guan, Cheng Zhou, Jianwei Lu, ZhangFu Yang, Chao Pan, PeiYun Zhou, YaPing Zhu, Jiarui Li, ZhuTao Wang, ShanShan Gao, Wei Gan, Yong Yi, Ye Luo*, Shuangjian Qiu*, Deep-learning based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma, 2022, in World Journal of Surgical Oncology.

9. Hanmei Yang, Jian Lu, Heng Zhang, Ye Luo*, Jianwei Lu*, Field of experts regularized nonlocal low rank matrix approximation for image denoising, in Journal of computational and applied mathematics, 2022. (SCI, IF:2.621,中科院二区)

10. Yaowei Li, Jinshan Pan, Ye Luo, Jianwei Lu, Deep Ranking Exemplar-Based Dynamic Scene Deblurring, IEEE Transactions on Image Processing, 2022, vol. 31, pp: 2245 – 2256. (SCI, IF:10.856, 中科院一区)

11. Huilin Lai, Ye Luo*, Guokai Zhang, Xiaoang Shen, Bo Li, Jianwei Lu*, Toward accurate polyp segmentation with cascade boundary-guided attention, The Visual Computer, 2022. （SCI, IF:2.601）

12. Guokai Zhang, Xiaoang Shen, Yu-Dong Zhang, Ye Luo*, et al., "Cross-Modal Prostate Cancer Segmentation via Self-Attention Distillation", accepted by IEEE Journal of Biomedical and Health Informatics, 2021. (SCI, IF 5.77)

13. Yaowei Li, Ye Luo*, Jianwei Lu*, “Reference-Guided Deep Deblurring via a Selective Attention Network”, in Applied Intelligence, 2021, (SCI, IF 2.822)

14. Ye Luo, Junsong Yuan, Ping Xue and Qi Tian, “Saliency Density Maximization for Efficient Visual Objects Discovery”, in IEEE Trans. on Circuits and System for Video Technology (TCSVT), Vol. 21, pp. 1822-1834, 2011. (SCI, IF: 4.133)

学术论文-国际会议

1. Ji Rao, Xinyu Liu, Yong Yi, Ying Xiao and Ye Luo*, Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma, in AAAI, 202 6. (EI, CCF-A)

2. Jiangfeng Li, Yifan Li, Hejing Cai, Zhiwen Cao, Shijie Wang, Hailong Liu, Cui Tang, Ye Luo*, DesmokeViT: A Red Bias-Resistant Approach to Unpaired Laparoscopic Smoke Removal, in BIBM regular paper, 2025. (EI, CCF-B, regular paper)

3. Ruimeng Liu, Yujing Zhao, Ziwei Qin, and Ye Luo*, A Prototype-Driven Multi-Modality Image Sequence Learning Framework for EGFR Mutation Prediction in NSCLC, in BIBM, 202 5. (EI, CCF-B, regular paper)

4. Pengyu Zheng, Yong Yi, Ye Luo*, BIF: A Biosignature Identification Framework for Model-agnostic Interpretation of MVI Diagnosis Models in HCC, in ICASSP, 202 5. (EI, CCF-B)

5. Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo*, SSC-VAE: Structured Sparse Coding based Variational Autoencoder for Detail Preserved Image Reconstruction, in AAAI, 202 5. (EI, CCF-A)

6. Xinyu Liu, Yong Yi, Ye Luo*, A CASCADE MULTIMODAL FINE-GRAINED MRI IMAGE GRADING NETWORK FOR PREOPERATIVE MICROVASCULAR INVASION IN HEPATOCELLULAR CARCINOMA, in International Conference on Multimedia Expo (ICME), 2024. (EI, CCF-B)

7. Bo Li, Yongqiang Yao, Jinru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo, Equalized Focal Loss for Dense Long-Tailed Object Detection, in CVPR, 202 2. (EI, CCF-A)

8. Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu*, Ye Luo*, PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning, in BIBM, 202 1. (EI, CCF-B)

9. Ye Luo, Loong-Fah Cheong and Tran Lam An, “Actionness-assisted Recognition of Actions”, in International Conference on Computer Vision (ICCV), 201 5, pp. 3244-3252. (EI, CCF-A)

学术活动和服务

IEEE senior Member, CCF senior Member

学术期刊、会议审稿人

1. IEEE TIP、IEEE TCSVT、Signal Processing: Image Communication the Visual Computer、IEEE Signal Processing Letter、Neurocomputing、CVIU、IEEE Access等

2. AAAI2023，AAAI2022，AAAI2021，ICPR2019，ICPR2018, ICIP2018, ICIP2017, ICME 2015, ICME 2014, ACCV 2010

获奖经历

1. 2025 上海市重点课程、同济大学优秀本科生毕业论文指导教师

2. 2024 全国普通高等学校本科教育教学评估专家、同济大学教学成果一等奖（5/10）、同济大学教学成果奖二等奖（7/10）

3. 2022 《算法设计与分析》课程入选同济大学重点课程、“立德树人”示范课程、同济大学思政示范课程

4. 2021 同济大学育才教育奖励金二等奖

5. 2020 入选同济大学第七期 “名课优师”、同济大学软件学院优秀员工

6. 2019 同济大学“优秀本科生导师“、”优秀班主任”、同济大学软件学院优秀员工

7. 第五届中国“互联网+”大学生创新创业大赛同济大学校内赛获得“优秀指导教师”

8. 2015.11 获得国际计算机视觉顶级会议ICCV的优秀青年研究者奖