基本信息

李钟毓

副教授,博士生导师
西安交通大学软件学院
 

联系方式:

地址: 创新港校区4号巨构 4-3166

邮箱: zhongyuli [at] xjtu.edu.cn

GitHub       Google Scholar

 

团队成员

课题组导师队伍:

祝继华  教授     博士生导师

田智强  教授     博士生导师

李钟毓  副教授  博士生导师

 

毕业学生就业去向:

2024届硕士生: 华为, 美团, 招商银行, 阿里巴巴, 斯图加特大学读博

2023届硕士生: 比亚迪, 阿里巴巴, 微软, 文远知行, 五菱, 陕汽

2022届硕士生: 阿里巴巴, 交通银行, 北师大读博, 伦敦国王学院读博, 选调生

2021届硕士生: 华为, 交大一附院

 

站点计数器

教育/工作经历

2021/10--至今          西安交通大学, 软件学院, 副教授
2021/10--2022/10    剑桥分子生物学实验室(MRC LMB), 副研究员(Career Development Fellow)
2018/10--2021/10    西安交通大学, 软件学院, 讲师

 

2015/08--2018/08    北卡罗莱纳大学夏洛特分校, 计算机科学, 博士
2012/08--2015/06    西安交通大学, 软件工程, 硕士
2008/08--2012/07    西安交通大学, 自动化, 学士

学术研究

课题组长期招收博士、硕士研究生、本科实习生,欢迎有志于从事人工智能与生物医学交叉领域(AI for Science)研究的同学加入!
 
研究领域介绍:
1. 计算神经科学: 该方向通过开发计算机视觉、深度学习等新技术, 量化解析出神经纤维以及各类神经环路在全脑不同脑区的投射情况, 有助于揭示阿兹海默、抑郁症等脑疾病的发病机理, 推动神经科学领域的发展. 主要与剑桥LMB实验室紧密合作, 相关成果发表于Nature Methods, 美国神经科学年会, 中国科学等;
2. 生物医学的大数据分析: 该方向主要研究超声、病理、心电等生物医学大数据的智能分析方法, 解决临床实际需求, 包括甲状腺/乳腺结节的智能筛查、病理影像中的癌症分级、心脏性疾病的辅助诊断等. 主要与国内十余家医院紧密合作, 相关成果发表于IEEE TMI, Medical Image Analysis, MICCAI等;
3. 视觉大模型与深度学习: 该方向为以上两个应用领域提供算法支撑. 尽管近两年来大模型技术蓬勃发展, 但“通才”大模型难以有效应用于特定领域, 课题组重点研究面向生物医学领域的视觉大模型以及深度学习的新框架与新方法. 相关成果发表于IEEE TMI, IEEE TCSVT, IEEE ISBI, MICCAI等.
 
近期研究问题:
1. 计算神经科学:神经元显微成像的视觉大模型构建, 神经元轴突与胞体的自动检测与分割, 不同发育阶段的脑连接图谱, 三维全脑的非刚体深度配准, 基于VR/AR的脑成像三维可视化分析;
2. 生物医学的大数据分析: 基于动态超声的甲状腺/乳腺结节辅助诊断, 病理影像大模型(全切片病理影像、跨组织细胞分割/计数), 基于心电数据的疾病识别;
3. 视觉大模型与深度学习: 特定生物医学领域的大模型构建方法, 大模型的高效微调与自适应融合方法, 半监督学习, 弱监督学习, 主动学习, 域自适应.

发表论文

期刊论文:
(*通讯作者, #共同一作)

[24] Xingyue Zhao#, Zhongyu Li#*, Xiangde Luo#, Peiqi Li, Peng Huang, Jianwei Zhu, Yang Liu, Jihua Zhu, Meng Yang, Shi Chang, Jun Dong*. "Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation", IEEE Transactions on Circuits and Systems for Video Technology, 2024. (IF: 8.4) [Link][Code]

[23]Xiang Luo#, Zhongyu Li#*, Canhua Xu#, Bite Zhang, Liangliang Zhang, Jihua Zhu, Peng Huang, Xin Wang, Meng Yang, Shi Chang*. "Semi-supervised Thyroid Nodule Detection in Ultrasound Videos", IEEE Transactions on Medical Imaging, 2024. (IF:10.6) [Link][Code]

[22] Xuemeng Hu#, Zhongyu Li#*, Yi Wu#, Jingyi Liu, Xiang Luo, Jing Ren. "Neighbouring-slice Guided Multi-View Framework for brain image segmentation". Neurocomputing, 2024. (IF: 6) [Link][Code]

[21] Zhongyu Li#, Zengyi Shang#, Jingyi Liu#, Haotian Zhen#, Entao Zhu#, Shilin Zhong, Robyn N. Sturgess, Yitian Zhou, Xuemeng Hu, Xingyue Zhao, Yi Wu, Peiqi Li, Rui Lin, Jing Ren*. "D-LMBmap: A fully automated deep learning pipeline for whole-brain profiling of neural circuitry". Nature Methods, 2023 (IF: 47.99) [Link][Project Page]

[20] Zhongyu Li#, Chaoqun Li#, Xiangde Luo#, Yitian Zhou, Jihua Zhu, Cunbao Xu, Meng Yang, Yenan Wu, Yifeng Chen*. "Towards Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning". IEEE Transactions on Medical Imaging, 2023. (IF: 10.6) [Link][Code]
[19] Kun Zhang, Zhongyu Li*, Chang Cai, Jingyi Liu, Dou Xu, Chaowei Fang, Peng Huang, Ying Wang, Meng Yang, Shi Chang. "Semi-supervised graph convolutional networks for the domain adaptive recognition of thyroid nodules in cross-device ultrasound images". Medical Physics, 2023. (IF: 4.506) [Code]
[18] 甄昊天 , 常令琛 , 祝继华 , 朱恩涛 , 樊夏玥 , 李钟毓*. "局部特征与点云配准引导下的神经元相似性度量方法". 计算机辅助设计与图形学学报, 2023.

[17] Jingyi Liu, Zhongyu Li*, Xiayue Fan, Xuemeng Hu, Jintao Yan, Bolin Li, Qing Xia, Jihua Zhu, Yue Wu. "CRT-Net: A generalized and scalable framework for the computer-aided diagnosis of Electrocardiogram signals". Applied Soft Computing, 2022. (IF: 8.263)
[16] 樊夏玥, 甄昊天, 商增谊, 徐文菲, 李钟毓*. "基于卷积自编码器与点云配准的神经元形态相似性度量方法". 中国生物医学工程学报, 2023.
[15] Qian Da, Xiaodi Huang, Zhongyu Li, etc. "DigestPath: a Benchmark Dataset with Challenge Review for the Pathological Detection and Segmentation of Digestive-System". Medical Image Analysis, 2022. (IF:13.828)
[14] Lei Yang, Dou Xu, Yiqing Tan, Bolin Li, Dan Zhu, Jingbo Wang, Hui Sun, Xinglong Liu, Xiaopu Zheng, Ling Zhu, Zhongyu Li*. "Association Between the Concentration and Rangeability of Cystatin C and Mortality of COVID-19 Patients With or Without Type 2 Diabetes Mellitus: A Retrospective Analysis". Frontiers in Endocrinology, 2021. (IF: 5.555)
[13] Zhongyu Li*, Xiayue Fan, Zengyi Shang, Lina Zhang, Haotian Zhen, Chaowei Fang, ''Towards Computational Analytics of 3D Neuron Images using Deep Adversarial Learning'', Neurocomputing, 2021 (IF: 5.719)
[12] 常令琛, 李钟毓*, 樊夏玥, 商增谊, 景海婷. "基于三维深度神经网络的大规模神经元形态表征与检索方法". 中国科学: 信息科学, 2021.
[11] Jihua Zhu, Rui Guo, Zhongyu Li*, Jing Zhang, Shanmin Pang. "Registration of multi-view point sets under the perspective of expectation-maximization". IEEE Transactions on Image Processing, 2020. (IF: 10.856)
[10] 景海婷、张秦、陈曼、张兰、李政霄、祝继华、李钟毓*. "小样本域自适应的皮肤病临床影像识别方法". 西安交通大学学报, 2020.
[9] Zhongyu Li, Jiamin Liu, Zhiqiang Tian, Jihua Zhu, Ce Li, Shaoyi Du. "Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration". Neurocomputing, 2020. (IF: 5.719)
[8] Dezheng Liu, Zhongyu Li, Yuanyuan Ma, Yulong Zhang. "Listwise learning to rank with extreme order sensitive constraint via cross‐correntropy". Concurrency and Computation: Practice and Experience, 2020. (IF: 1.536)
[7] Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang*, "Large-scale Retrieval for Medical Image Analytics: A Comprehensive Review", Medical Image Analysis, 2018. (IF: 8.545)
[6] Zhongyu Li, Erik Butler, Kang Li, Aidong Lu, Shuiwang Ji, Shaoting Zhang*, "Large-scale Exploration of Neuronal Morphologies using Deep Learning and Augmented Reality", Neuroinformatics, 2018. (IF: 4.085)
[5] Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang*, "Indexing and Mining Large-Scale Neuron Databases using Maximum Inner Product Search", Pattern Recognition, 2017. (IF: 7.740)
[4] Zhongyu Li, Dimitris N. Metaxas, Aidong Lu, Shaoting Zhang*, "Interactive Exploration for Continuously Expanding Neuron Databases", Methods, 2017. (IF: 3.608)
[3] Jihua Zhu, Li Zhu, Zhongyu Li, Chen Li, Jingru Cui, "Automatic Multi-view Registration of Unordered Range Scans without Feature Extraction", Neurocomputing, 2016. (IF: 5.719)
[2] Jihua Zhu, Zhongyu Li, Shaoyi Du, Liang Ma, Te Zhang, "Surface Reconstruction via Efficient and Accurate Registration of Multiview Range Scans", Optical Engineering, 2014. (IF=1.084)
[1] Jihua Zhu, Deyu Meng, Zhongyu Li, Shaoyi Du, Zejian Yuan, "Robust Registration of Partially Overlapping Point Sets via Genetic Algorithm with Growth Operator", IET Image Processing, 2014. (IF: 1.995)

专著章节:
[1] Bin Kong#, Zhongyu Li#, Shaoting Zhang, "Toward Large-scale Histopathological Image Analysis via Deep Learning", Biomedical Information Technology, 2020.

会议论文:

[13] Xingyue Zhao, Peiqi Li, Xiangde Luo, Meng Yang, Shi Chang*, Zhongyu Li*. "SAM-driven weakly supervised nodule segmentation with uncertainty-aware cross teaching". IEEE International Symposium on Biomedical Imaging (ISBI), 2024.

[12] Xingguang Wang, Zhongyu Li*, Xiangde Luo, Jing Wan, Jianwei Zhu, Ziqi Yang, Meng Yang, Cunbao Xu. "Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation". MICCAI, 2023. [Code]

[11] Zhongyu Li, Zengyi Shang, Jingyi Liu, Haotian Zhen, Robyn N. Sturgess, Shilin Zhong, Michael H Hastings, Rui Lin, Jing Ren. "D-LMBmap: A fully automated deep learning pipeline for whole-brain profiling of circuits". Neuroscience 2022. (Abstract)

[10] Yuchen Wang, Zhongyu Li*, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang. "Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos". MICCAI, 2022. [Code]
[9] Chaoqun Li, Yitian Zhou, Tangqi Shi, Yenan Wu, Meng Yang, Zhongyu Li*. "Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling". MICCAI workshop on Computational Pathology, 2021.
[8] Chang Cai, Dou Xu, Chaowei Fang, Meng Yang, Zhongyu Li*. "Graph Neural Networks for the Cross-Domain Histopathological Image Classification". IEEE International Symposium on Biomedical Imaging (ISBI), 2021. oral presentation
[7] Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang, ''CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation'', MICCAI, 2019.
[6] Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K Min, Leon Axel, Dimitris N. Metaxas, "Fully Automatic Segmentation of Short-axis Cardiac MRI using Modified Deep Layer Aggregation", IEEE International Symposium on Biomedical Imaging (ISBI), 2019.
[5] Willis Fulmer, Tahir Mahmood, Zhongyu Li, Shaoting Zhang, Jian Huang, Aidong Lu, "ImWeb: Cross-Platform Immersive Web Browsing for Online 3D Neuron Database Exploration", ACM Conference on Intelligence User Interfaces (IUI), 2019.
[4] Zhongyu Li, Chaowei Fang, Shaoting Zhang, "Deep Feature Representation for the Computational Analytics of 3D Neuronal Morphology", IEEE International Symposium on Biomedical Imaging (ISBI), 2018.
[3] Bin Kong, Xin Wang, Zhongyu Li, Qi Song, Shaoting Zhang, "Cancer Metastasis Detection via Spatially Structured Deep Network", International Conference on Information Processing in Medical Imaging (IPMI), 2017.
[2] Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang, "Maximum Inner Product Search for Morphological Retrieval of Large-Scale Neuron Data", IEEE International Symposium on Biomedical Imaging (ISBI), 2016. oral presentation
[1] Zhongyu Li, Jihua Zhu, Ke Lan, Chen Li, Chaowei Fang, "Improved Techniques for Multi-view Registration with Motion Averaging", International Conference on 3D Vision (3DV), 2014.