李翔，男，1996年3月，工学博士学位，讲师，研究生副导师。

联系方式

联系电话：18716033138

电子邮件：lixiang1@neuq.edu.cn

研究方向

深度学习与人工智能技术

多模态大模型

智能医学影像分析

智能传感信号分析

教育背景

2014.09-2018.06 东北大学  自动化专业  工学学士

2018.09-2023.09 哈尔滨工业大学  控制科学与工程专业  工学博士

工作履历

2024.07-至今 东北大学秦皇岛分校 讲师

学术兼职

IEEE TII、IEEE TNNLS、IEEE TIE、IEEE TAI等SCI期刊审稿人

学术成果

【论文、专著与专利等】

近五年在在IEEE TII, IEEE TMI, IEEE TAI, IEEE TIM, Medical Image Analysis, Information Fusion等国际知名期刊和会议上发表文章40余篇，其中以第一作或通讯作者发表期刊论文20余篇，4篇文章入选ESI高被引论文，谷歌总被引2900余次，H-index为19，入选全球前2%顶尖科学家，授权国家发明专利10项。

【代表性学术论文】

[1]X. Li, Y. Jiang, M. Li, S. Yin, Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation, IEEE Transactions on Industrial Informatics, 17(3): 1958–1967, 2021. (中科院一区, JCR1区, Top)

[2]X. Li, L. Li, Y. Jiang, H. Wang, X. Qiao, T. Feng, H. Luo, Y. Zhao, Vision-Language Models in medical image analysis: From simple fusion to general large models, Information Fusion, 2025, 118: 102995. (中科院一区, JCR1区, Top)

[3]X. Li, L. Li, K. Zhang, X. Chen, T. Feng, Y. Zhao, S. Yin, Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting with Incomplete Data, IEEE Transactions on Industrial Informatics, 21(6): 4734–4744,2025. (中科院一区, JCR1区, Top)

[4]K. Zhang, L. Li, X. Li*, J. Ding, S. Yin, Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction, IEEE Transactions on Industrial Informatics, 21(6): 4606-4616,2025. (中科院一区, JCR1区, Top)

[5]X. Li, S. Lv, M. Li, J. Zhang, Y. Jiang, Y. Qin, H. Luo, S. Yin, SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization, IEEE Transactions on Medical Imaging, 42(8):2274–2285, 2023. (中科院一区, JCR1区, Top)

[6]X. Li, L. Li, M. Li, P. Yan, T. Feng, H. Luo, Y. Zhao, S. Yin, Knowledge distillation and teacher-student learning in medical imaging: comprehensive overview, pivotal role, and future directions, Medical Image Analysis, 103819, 2025. (中科院一区, JCR1区, Top)

[7]X. Li, S. Lv, J. Zhang, M. Li, J.J. Rodriguez-Andina, Y. Qin, H. Luo, S. Yin, FDGR-Net: Feature Decouple and Gated Recalibration Network for Medical Image Landmark Detection, Expert Systems with Applications, 238, 121746, 2024. (中科院一区, JCR1区, Top)

[8]X. Li, Y. Jiang, Y. Liu, J. Zhang, S. Yin, H. Luo, RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment from X-Ray Images, IEEE Transactions on Instrumentation & Measurement, 71: 1-12, 2022. (中科院二区, JCR1区, Top)

[9]X. Li, L. Li, K. Zhang, DPKI-Net: Dual Prior Knowledge Injection Network for Multi-Task 3D Medical Image Segmentation and Landmark Localization, IEEE Transactions on Instrumentation & Measurement, 74: 2512012, 2025. (中科院二区, JCR1区, Top)

[10]X. Li, Y. Jiang, J. Zhang, M. Li, H. Luo, S. Yin, Lesion-Attention Pyramid Network for Diabetic Retinopathy Grading, Artificial Intelligence in Medicine, Volume 126, 2022, 102259. (中科院二区, JCR1区, Top) 

[11]X. Li, Y. Jiang, C. Liu, S. Liu, H. Luo, S. Yin, Playing Against Deep Neural Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach, IEEE Transactions on Artificial Intelligence, 3(1): 20-28, 2022.

[12]J. Lin, X. Liu, L. Li, K. Zhang, X. Sha, T. Feng, X. Li*. SFFR-Transformer: Spatial and Frequency Feature Recalibration Transformer for Incomplete Multimodal Medical Image Segmentation, IEEE Sensors Journal, 25(15): 29201-29212,2025. (中科院三区, JCR1区)

[13]X. Li, Y. Jiang, M. Li, J. Zhang, S. Yin, H. Luo, MSFR-Net: Multi-Modality and Single-Modality Feature Recalibration Network for Brain Tumor Segmentation, Medical Physics, 50(4): 2249-2262, 2023. (中科院二区, JCR1区)

[14]X. Li, S. Lv, C. Tong, Y. Qin, C. Liang, Y. Ma, M. Li, H. Luo, S. Yin, MsgeCNN: Multi-Scale Geometric Embedded Convolutional Neural Network for ONFH Segmentation and Grading, Medical Physics, 2023. (中科院二区, JCR1区)

[15]X. Li, M. Li, P. Yan, G. Li, Y. Jiang, H. Luo, S. Yin, Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds, International Journal of Network Dynamics and Intelligence, 2(1), 93–116, 2023. (主编邀请综述)

[16]X. Li, Y. Jiang, J.J. Rodriguez-Andina, H. Luo, S. Yin, O. Kaynak, When Medical Images Meet Generative Adversarial Network: Recent Development and Research Opportunities, Discover Artificial Intelligence, 1(1): 1-20, 2021. (主编邀请综述)

[17]X. Li, Y. Sun, J. Lin, L. Li, T. Feng, S. Yin. The Synergy of Seeing and Saying: Revolutionary Advances in Multi-modality Medical Vision-Language Large Models, Artificial Intelligence Science and Engineering,1(2): 79-97, 2025. (主编邀请综述)

[18]J. Li, X. Li*, MIU-Net: MIX-Attention and Inception U-Net for Histopathology Image Nuclei Segmentation, Applied Sciences-Basel, 13(8): 4842, 2023.

[19]J Zhou, S Wang, H Wang, Y Li, X. Li*, Multi-Modality Fusion and Tumor Sub-Component Relationship Ensemble Network for Brain Tumor Segmentation. Bioengineering, 12(2):159, 2025.

[20]J. Li, X. Li*, M. Li, P. Yan. A Dual-path Instance Segmentation Network Based on Nuclei Contour in Histology Image, Discover Artificial Intelligence, 3(1):35, 2023.