工作经历 2025年4月至今 哈尔滨工业大学计算学部感知计算研究中心 主任 2024年12月至今 哈尔滨工业大学人工智能学院 教授 （启航学者） 2022年5月至今 哈尔滨工业大学人工智能学院 博士生导师 2021年12月至2024年12月 哈尔滨工业大学人工智能学院 副教授 （入选哈工大青年拔尖人才支持计划） 2021年5月至2022年5月 哈尔滨工业大学计算机科学与技术专业 硕士生导师 2019年11月至2021年12月 哈尔滨工业大学计算机科学与技术学院 讲师（助理教授） 2017年11月—2018年12月 Lawson健康研究院 Research Fellow 2017年2月—2017年6月在百度深度学习研究院（原IDL）从事图像处理算法研究 （合作导师：杨睿刚） 教育经历 2014.09-2019.09 哈尔滨工业大学 计算机科学与技术 工学博士 (导师:王宽全 ) 2017.10-2018.12 Western University 联合培养 （导师：Shuo Li） 2012.09-2014.07 哈尔滨工业大学 计算机科学与技术 工学硕士 2008.09-2012.07 华东交通大学 软件工程 工学学士 获奖情况 2023 MICCAI STAR Award（指导老师） 2020 年度MIDL外科手术行为检测挑战赛冠军 （指导老师） 2019 年度国际顶级会议 MICCAI 研究生旅行奖； 2019 年度首届优秀博士预留师资 2018 年度工业与信息化部创新创业奖学金； 哈尔滨工业大学优秀毕业生； 2017 年度 CCCV “心血管OCT易损斑块识别”人工智能专题竞赛一等奖 (冠军)； 2016 年度博士生国家奖学金； 2011 年度本科生国家奖学金； 校特等奖学金；

多模态医学图像分析与人工智能技术

代表性期刊论文 [18] Yuetan Chu#, Gongning Luo#*, et al. Deep Learning-driven Pulmonary Arteries and Veins Segmentation Reveals Demography-associated Pulmonary Vasculature Anatomy[J]. Nature Communications, 2025.(中科院一区，Top期刊，IF>10) [17] Long Xu, Qiang Yang, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Xianyu Zhang, Tiansong Yang, Gongning Luo*, et al. Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy [J]. Briefings in Bioinformatics, 2025.(中科院一区，Top期刊) [16] Xinjie Liang, Xiangyu Li, Fanding Li, Jie Jiang, Qing Dong, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo*, et al. MedFILIP: Medical Fine-Grained Language-Image Pre-Training[J]. IEEE Journal of Biomedical and Health Informatics, 2025.(中科院一区，Top期刊) [15] Wenjian Gu, Zhanshi Zhu, Ze Liu, Yihan Wang, Yanxiao Li, Tianyi Xu, Weiping Liu, Gongning Luo*, et al. Self-supervised neural network for Patlak-based parametric imaging in dynamic [18F]FDG total-body PET[J]. European Journal of Nuclear Medicine and Molecular Imaging, 2025.(中科院一区，Top期刊，IF>10) [14] Zhanshi Zhu, Xinghua Ma, Wei Wang, Suyu Dong, Kuanquan Wang, Lianming Wu, Gongning Luo*, et al. Boosting Knowledge Diversity, Accuracy, and Stability via Tri-enhanced Distillation for Domain Continual Medical Image Segmentation[J]. Medical Image Analysis, 2024.(中科院一区，Top期刊，IF>10) [13] Xiangyu Li, Xinjie Liang, Gongning Luo*, et al. Ambiguity-aware Breast Tumor Cellularity Estimation Via Self-ensemble Label Distribution Learning [J]. Medical Image Analysis, 2023.(中科院一区，Top期刊，IF>10) [12] Xiangyu Li, Gongning Luo*, et al. Curriculum label distribution learning for imbalanced medical image segmentation [J]. Medical Image Analysis, 2023.(中科院一区，Top期刊，IF>10) [11] Weihe Dong, Qiang Yang, Jian Wang, Long Xu, Xiaokun Li, Gongning Luo*, et al. Multi-modality attribute learning-based method for drug–protein interaction prediction based on deep neural network [J]. Briefings in Bioinformatics, 2023.(中科院一区，Top期刊) [10] Gongning Luo, et al. Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography [J]. IEEE Journal of Biomedical and Health Informatics, 2023.(中科院一区，Top期刊，IF=7.7) [9] 骆功宁，王玮，李钦策，王宽全*，虚拟生理心脏研究进展, 中国科学基金，2022，36（2）：198-205. [8] Xiangyu Li, Gongning Luo*, et al. Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation [J]. IEEE Journal of Biomedical and Health Informatics, 2022.(中科院小区一区，Top期刊， IF=7.7) [7]Gongning Luo, Wei Wang, et al. Dynamically Constructed Network with Error Correction for Accurate Ventricle Volume Estimation [J]. Medical Image Analysis, 2020，64(1):101723. (中科院一区，Top期刊， IF>10) [6] Suyu Dong, Gongning Luo, Clara Tam, et al. Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography[J]. Medical Image Analysis, 2020, 61 (1): 101638. (中科院一区，Top期刊， IF>10) [5] Gongning Luo, Suyu Dong, Kuanquan Wang*, et al. Commensal Correlation Network Between Segmentation and Direct Area Estimation for Bi-ventricle Quantification, Medical Image Analysis, 2020, 59(1):101591. (中科院一区，Top期刊， IF>10) [4] Chao Ma; Gongning Luo; Kuanquan Wang*. Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images, IEEE Transactions on Medical Imaging, 2018.37(8): 1943~1954.(中科院一区，Top期刊， IF>10) [3] Gongning Luo; Suyu Dong, Kuanquan Wang*, et al. Multi-views fusion CNN for left ventricular volumes estimation on cardiac MR images[J]. IEEE Transactions on Biomedical Engineering, 2018, 65(9): 1924-1934.(中科院二区， IF=4.5) [2] Gongning Luo ; Dong Sui; Jinseok Chae; Kuanquan Wang *. Neuron anatomystructure reconstruction based on a sliding filter, BMC BIOINFORMATICS, 2015, 16: 342.(JCR一区， IF=3.1) [1] Pengbo Bo, Gongning Luo, Kuanquan Wang, A graph-based method for fitting planar B-spline curves with intersections [J].Journal of Computational Design and Engineering, 2016, 3(1):14-23.(JCR一区，IF=6.1) 代表性会议论文 [22]Xingyu Qiu, Mengying Yang, Xinghua Ma, Fanding Li, Dong Liang, Gongning Luo*, et al. Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (Top Conference) [21] Xinghua Ma, Xinyan Fang, Mingye Zou, Gongning Luo*, et al. A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography[C]//AAAI Conference on Artificial Intelligence (AAAI), 2025. (Top Conference) [20] Xinghua Ma, Mingye Zou, Xinyan Fang, Yang Liu, Gongning Luo*, et al. Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2024. (Top Conference on medical image analysis, Early Accept) [19] Yuetan Chu, Longxi Zhou, Gongning Luo*, et al. Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling [C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2024. (Top Conference on medical image analysis) [18] Yuetan Chu, Longxi Zhou, Gongning Luo*, et al. Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2023. (Top Conference on medical image analysis，STAR Award, Top 3%) [17] Xiangyu Li, Xinjie Liang, Gongning Luo*, et al. ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2022. (Top Conference on medical image analysis) [16] Dong Liang, Jun Liu, Kuanquan Wang*, Gongning Luo*, et al. Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2022. (Top Conference on medical image analysis) [15] Xinghua Ma, Gongning Luo*, et al. Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2021. (Top Conference on medical image analysis) [14] Yuyang Zhang, Gongning Luo*, et al. Branch-aware Double DQN for Centerline Extraction in Coronary CT Angiography[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2020. (Top Conference on medical image analysis, Early Accept) [13] Gongning Luo, Suyu Dong, Kuanquan Wang*, et al. A Deep Reinforcement Learning Framework for Frame-byframe Plaque Tracking on Intravascular Optical Coherence Tomography Image[C]. Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2019: 12-20. (Top Conference on medical image analysis, Early Accept, Travel Award, Top 3%) [12] Suyu Dong, Gongning Luo, Kuanquan Wang, et al. VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI). Springer, Cham, 2018: 622-629.(Top Conference on medical image analysis) [11] Xiangyu Li, Gongning Luo, Kuanquan Wang. Multi-step Cascaded Networks for Brain Tumor Segmentation[J]. MICCAI workshop, 2019. [10] Yashu Liu, Wei Wang, Kuanquan Wang, Chenqin Ye, Gongning Luo. An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image[J]. MICCAI workshop, 2019. [9] Yashu Liu, Kuanquan Wang, Gongning Luo,et al. A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model[C].Computing in Cardiology Conference (CINC) 2019. [8] Suyu Dong, Gongning Luo, Guanxiong Sun, et al. A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography[C]//2016 Computing In Cardiology Conference (Cinc). IEEE, 2016: 889-892. [7] Suyu Dong, Gongning Luo, Guanxiong Sun, Kuanquan Wang, et al. A left ventricular segmentation method on 3D echocardiography using deep learning and snake[C]//2016 Computing in Cardiology Conference (CinC). IEEE, 2016: 473-476. [6] Gongning Luo, Kuanquan Wang, Naren Wulan, Shaodong Cao, Qince Li, Yongfeng Yuan, Henggui Zhang. A Novel Spatio-temporal Self-supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data [C]. Computing in Cardiology Conference, 2019 [5] Gongning Luo, Kuanquan Wang, Shaodong Cao, Qince Li, Henggui Zhang. A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance [C]. Computing in Cardiology Conference,2018. DOI 号:10.22489/CinC.2018.076,EI） [4] Gongning Luo, Suyu Dong, Kuanquan Wang, Henggui Zhang. Cardiac left ventricular volumes prediction method based on atlas location and deep learning [C]. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)， 2016：1604-1610.（CCF B 类） [3] Gongning Luo, Ran An, Kuanquan Wang, Suyu Dong, Henggui Zhang. A deep learning network for right ventricle segmentation in short-axis MRI [C]. Computing in Cardiology Conference (CINC), 2016, 43：485-488. Google 引用 55次） [2] Gongning Luo, Guanxiong Sun, Kuanquan Wang, Suyu Dong, Henggui Zhang. A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI [C]. Computing in Cardiology Conference (CINC) 2016, 43： 89-92. [1] Gongning Luo, Kuanquan Wang, Pengbo Bo, Yong Xia, Henggui Zhang. A Novel Reconstruction Method of 3D Heart Geometry Atlas Based on Visible Human [C]. International Conference on Virtual Reality and Visualization (ICVRV), 2017: 133-138.（EI）