个人简介：
徐传运，博士，美国加州大学河滨分校（UCR）博士后（深度学习方向），教授，系统分析师。CAAI机器博弈专委会常务委员，CCF高级会员。主要研究方向为图像处理与机器视觉、机器学习及应用、智能制造。主持基于结构光技术的粗集料检测系统、基于具身智能的细集料含泥量检测系统等多个AI应用系统研发。在Engineering Applications of Artificial Intelligence（一区TOP）、CAAI Transactions on Intelligence Technology（一区TOP）等期刊发表论文30余篇；授权发明专利6件；主编教材3部；获重庆市高等教育教学成果二等奖；指导学生竞赛获奖数十项（其中包括中国国际大学生创新大赛国赛铜奖，“挑战杯”全国大学生课外学术科技作品竞赛全国二等奖）。
教育与工作经历：
1995.09—1999.07辽宁鞍山钢铁学校工业电气化中专
1999.12—2003.06 重庆网通计算机工程有限公司 软件工程师
2003.07—2006.09 重庆金算盘软件集团公司 项目经理
2004.09—2006.12重庆大学计算机软件与理论（软件工程）硕士
2007.03—2014.06重庆大学计算机科学与技术博士
2007.07—2021.03 重庆理工大学 副教授
2016.01—2018.01美国加州大学河滨分校(UCR)深度学习/小样本机器学习博士后
2016.01—2018.01美国加州大学河滨分校博士后
2021.04—至今重庆师范大学副教授/教授
研究方向：
机器学习理论、机器视觉、智能制造、医学图像处理
科研项目：
[1]重庆市教育委员会,科学技术研究计划项目重大项目,基于机器视觉的细集料级配检测方法研究(KJZD-M202500505),2025.07-2028.06,在研,主研
[2]重庆市科技局,重庆市技术创新与应用发展川渝科技创新合作计划项目,基于双目结构光三维点云采集技术的粗集料空隙率测量方法与设备研究（CSTB2024TIAD-CYKJCXX0009），2024.09-2027.08,在研，主持
[3]重庆市科技局,重庆市自然科学基金创新发展联合基金,基于全玻片病理及免疫组化数据的非小细胞肺癌辅助基因变异筛查的数学建模与方法,2024-07-2027-06，在研，主研
[4]某智能制造企业,合作项目,基于机器视觉的智能收料系统关键技术研究,2021-01-2025-12，在研，主持
[5]某智能制造企业,合作项目,混凝土智能制造关键技术研究,2021.11-2024.08，在研，主持
[6]重庆理工大学，合作项目,项目成果大数据智能分析方法及系统研究，2021-04-至202-03，在研，主持
[7]重庆市科技局,重庆市技术创新与应用发展专项面上项目，cstc2020jscx-msxmX0086,基于智能视觉感知技术的施工安全风险预警系统研究, 2020-09-01至2022-08-31,在研，主持
[8]某智能制造企业,合作项目,混凝土检验管理及智能分析系统,2021-01-2022-12，在研，主持
[9]重庆大学，合作项目,2018Q117,教职工科研数据仓库与联机分析系统，2018-06-至2018-10，已结题，主持
代表论著：
[1]Yang Zhang, Junjie Li, Qiushi Wang, Luyan Zhang, Lingjiang Deng, Qiyun Tian, Feixu Lu, Gang Li, Chuanyun Xu, Fanghong Zhang & Hualiang Xiao. Frequency-domain multi-scale hybrid attention for pathological image classification. Scientific Reports, 2026. https://doi.org/10.1038/s41598-026-58083-z
[2]Li, G., Deng, J., Zhang, Y. et al. MambaDS U-Net: A multi-scale mamba and dynamic upsampling enhanced U-Net for glomeruli segmentation. Signal, Image and Video Processing 20, 361 (2026). https://doi.org/10.1007/s11760-026-05311-8
[3]Yang Zhang, Xiaodong Zhong, Lei Li, Junhong Chen, Deyi Mu, Yang Liu, Junxiu An, Gang Li, Chuanyun Xu. Detection of Coarse Aggregate Void Content for Concrete Based on 3D Point Cloud Scanning Technology. Results in Engineering, 2026
[4]Yao, S., Sun, S., Zhang, Y., Xu, C., & Chen, W. Handling Class Imbalance in SAGIN Heterogeneous Devices via Location‐Slack‐Fuzzy Broad Learning System Transactions on Emerging Telecommunications Technologies, 2025(36): 9.
[5]Zhang, Y.; Yang, Q.; Li, T.; Zhang, F. H.; Ren, Y.; Li, Y. H.; Xu, C. Y. V-UNet: Medical Image Segmentation Based on Variational Attention Mechanism CAAI Transactions on Intelligence Technology, 2025.
[6]Gang Li, Ru Wang, Yang Zhang*, Chuanyun Xu, Xinyu Fan, Zheng Zhou, Pengfei Lv, Zihan Ruan. LR-Net: Lossless Feature Fusion and Revised SIoU for Small Object Detection Computers, Materials & Continua, 2025.
[7]Yang Zhang, Pan He, Chuanyun Xu*, Jingyan Pang, Xiao Wang, Xinghai Yuan, Pengfei Lv, Gang Li*. Aligning to the teacher: multilevel feature-aligned knowledge distillation PeerJ Computer Science, 2025(11).
[8]Shihao Zhang, Yang Zhang*, Song Sun, Xinghai Yuan, Haoxuan Sun, Heng Wang, Yi Yuan, Dan Luo, Chuanyun Xu. A Rapid Sand Gradation Detection Method Based on Dual-Camera Fusion Buildings, 2025(15): 14.
[9]Gang Li, Pengfei Lv, Yang Zhang*, Chuanyun *, Zihan Ruan, Zheng Zhou, Xinyu Fan, Ru Wang, Pan He. Two-stage optimization based on heterogeneous branch fusion for knowledge distillation PLOS ONE, 2025(20): 7.
[10]Ruiyan Tang, Yang Zhang, Chuanyun Xu. Design of a computer game competition system based on Netty Fourth International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), 2025(13574).
[11]Gang Li, Zheng Zhou, Yang Zhang*, Chuanyun Xu, Zihan Ruan, Pengfei Lv, Ru Wang, Xinyu Fan, Wei Tan. Implicit Feature Contrastive Learning for Few-Shot Object Detection Computers, Materials & Continua, 2025(84): 1.
[12]Chuanyun Xu, Heng Wang, Yang Zhang *, Song Sun, and Gang Li. Detecting sand gradation based on the two-dimensional sand particle features in sand images Journal of Applied Science and Engineering, 2025(29): 1.
[13]Yang Zhang, Xinghai Yuan, Xuanpeng Zhang, Heng Wang, Pan He, Ling Luo, Chuanyun Xu. Prediction of high-performance concrete compressive strength using Decision Tree-Guided Artificial Neural Network Pretraining approach Engineering Applications of Artificial Intelligence, 2025(156): Part A.
[14]Chuanyun Xu, Yisha Sun, Yang Zhang*, Tianqi Liu, Xiao Wang, Die Hu, Shuaiye Huang, Junjie Li, Fanghong Zhang, and Gang Li. Stain Normalization of Histopathological Images Based on Deep Learning: A Review Diagnostics, 2025(15): 8.
[15]Chuanyun Xu, Die Hu, Yang Zhang*, Shuaiye Huang, Yisha Sun, Gang Li. Multi-Scale Feature Fusion Network for Accurate Detection of Cervical Abnormal Cells Computers, Materials & Continua, 2025(83): 1.
[16]Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang*. Detection of cervical cell based on multi-scale spatial information Scientific Reports, 2025(15).
[17]Chuanyun Xu, Xiao Wang, Yisha Sun, Pan He, Gang Li. CervicalFormer: An Enhanced CNN-ViT Hybrid Model for Cervical Histopathological Image Classification ICONIP 2024. Communications in Computer and Information Science, vol 2286. Springer, Singapore, 2024(2286).
[18]Yang Zhang, Junjie Li, Song Sun, Gang Li, Qiang Yang, Yisha Sun, Xiao Wang, and Chuanyun Xu. Short-Term Water Supply Forecasting for Water Treatment Plant Using Temporal Multi-Scale Features Water, 2024(16): 24.
[19]Yang Zhang, Danxia Hou, Chuanyun Xu*, Heng Wang, Liping Peng, Xinghai Yuan, Xuanpeng Zhang, Gang Li, Song Sun. Sand gradation detection method based on local sampling Scientific Reports, 2024(14).
[20]Yang Zhang, Xinghai Yuan, Ling Luo, Yulu Yang, Shihao Zhang, and Chuanyun Xu. Local Contrast Learning for One-Shot Learning APPLIED SCIENCES-BASEL, 2024(14): 12.
[21]Gang Li, Kun Wang, Pengfei Lv, Pan He, Zheng Zhou, Chuanyun Xu*. Multistage feature fusion knowledge distillation Scientific Reports, 2024(14).
[22]Chuanyun Xu, Hang Wang, Yang Zhang*, Zheng Zhou, Gang Li*. Dual-Branch Multi-Scale Relation Networks with Tutorial Learning for Few-Shot Learning APPLIED SCIENCES-BASEL, 2024(14): 4.
[23]Gang Li, Peng Chen*, Chuanyun Xu*, Chengjie Sun, Yingli Ma. Anchor-Free Smoke and Flame Recognition Algorithm with Multi-Loss Fire, 2023(6): 6.
[24]Keya Wang, Chuanyun Xu*, Gang Li, Yang Zhang, Yu Zheng, Chengjie Sun. Combining convolutional neural networks and self-attention for fundus diseases identification Scientific Reports, 2023(13): 1.
[25]Chuanyun Xu, Yu Zheng*, Yang Zhang, Chengjie Sun, Gang Li, Zhaohan Zhu. Adaptive Class-Balanced Loss Based on Re-Weighting Proceedings of 2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT), 2022.
[26]徐传运*, 王影, 王文敏. 面向生活垃圾图像分类的多级特征加权融合算法 重庆理工大学学报（自然科学）, 2022(36): 9.
[27]Wenjian Gao, Chuanyun Xu*, Gang Li*, Yang Zhang, Nanlan Bai, Mengwei Li. Cervical Cell Image Classification-Based Knowledge Distillation Biomimetics, 2022(7): 4.
[28]Chuanyun Xu, Mengwei Li*, Gang Li*, Yang Zhang, Chengjie Sun, Nanlan Bai. Cervical Cell/Clumps Detection in Cytology Images Using Transfer Learning Diagnostics, 2022(12): 10.
[29]Chuanyun Xu*, Zixu Liu*, Gang Li, Changpeng Zhu, Yang Zhang. Multigranularity Syntax Guidance with Graph Structure for Machine Reading Comprehension APPLIED SCIENCES-BASEL, 2022(12): 19.
[30]Chuanyun Xu, Nanlan Bai*, Wenjian Gao, Tian Li, Mengwei Li, Gang Li*, Yang Zhang. Multiple-Stage Knowledge Distillation APPLIED SCIENCES-BASEL, 2022(12): 19.
[31]Chuanyun Xu, Wenjian Gao*, Tian Li, Nanlan Bai, Gang Li, Yang Zhang. Teacher-student collaborative knowledge distillation for image classification Applied Intelligence, 2022(53): 2.
[32]Chuanyun Xu, Yu Zheng*, Yang Zhang, Gang Li, Ying Wang. A method for detecting objects in dense scenes Open Computer Science, 2022(12): 1.
[33]Chuanyun Xu, Huan Liu*, Tenghui Li, Yang Zhang, Tian Li, Gang Li. Cascaded Feature-Mask Fusion for Foreground Segmentation IEEE Open Journal of Intelligent Transportation Systems, 2022(3): 4.
[34]徐传运, 袁含香, 李刚, 郑宇, 刘欢. 使用场景增强的安全帽佩戴检测方法研究 计算机工程与应用, 2022(58): 19.
[35]Gang Li, Chengjie Sun*, Chuanyun Xu, Yu Zheng, Keya Wang. Cervical Cell Segmentation Method Based on Global Dependency and Local Attention APPLIED SCIENCES-BASEL, 2022(12): 15.
[36]张宜浩, 朱小飞, 徐传运, 董世都. 基于用户评论的深度情感分析和多视图协同融合的混合推荐方法 计算机学报, 2019(42): 6.
[37]Java高级程序设计(微课版),清华大学出版社,2023,主编，徐传运，张杨，黎天送，涂飞，刘洁,9787302625667
[38]数据采集与预处理（微课版），人民邮电出版社，2024，安俊秀、徐传运、戴宇睿，978-7-115-58990-3
