1 主持的科研项目（部分）

[1]   四川省科技厅省院省校合作项目《基于多模态影像的可解释与数据高效学习方法研究及在胆管癌智能诊断中的应用》

[2]   国家自然科学基金专项项目《基于多模态影像的肝外胆管癌可解释性量化决策及其机制研究》

[3]   国家自然科学基金面上项目《内嵌本构物理机制的重载列车机械关键部件潜隐故障诊断》

[4]   成都飞机工业（集团）有限责任公司 《基于视觉信息*******》

[5]   国家重点研发计划子课题《装备健康检测与数据融合分析软件》

[6]    中国电子科技集团公司第十研究所《多智能体****》

[7]    北京航天测控技术有限公司《缺陷识别*****》

[8]    中车株洲电力机车有限公司维保分公司《两万吨重载列车失稳大数据分析及软件开发》

[9]    国能朔黄铁路发展有限责任公司机辆分公司《国能朔黄铁路机辆公司基于声音信号分析的重载列车风笛异常检测》

[10] 中国航空工业集团公司成都飞机设计研究所《********融合算法》

[11] 雅安市卓安新能源科技发展有限责任公司《面向充电桩快充场景的整车电力系统、BMS和电池电芯在线检测设备开发》

[12] 国家自然科学基金面上项目《川藏列车转向架故障诊断的多级联邦/迁移学习》

[13] 四川省科技厅科技计划重点研发项目《极端艰险运行环境下川藏列车转向架故障诊断方法研究》

[14] 亚德诺投资有限公司《针对可应用于可穿戴设备的连续无创血压的算法研究》

[15] 高校基本科研业务费-医工融合重点项目《基于CT图像的乳腺癌患者腋下淋巴结转移性辅助诊断算法研究》

[16] 四川国软科技发展有限责任公司《基于机器视觉技术的铁路隧道衬砌表面状态检测算法设计》

[17] 中国航空工业集团公司成都飞机设计研究所《导航系统******》

[18] 中国工程物理研究院 《故障诊断*********》

[19] 成都飞机工业（集团）有限责任公司《*****应用》

[20] 中国航空工业集团公司成都飞机设计研究所《****算法研究》

[21] *****重点实验室运行基金《基于人工智能的********布局方法研究》

[22] 东莞市交大国佳轨道交通发展有限公司《基于机器视觉的列车外观故障检测技术》

[23] 四川省科技厅应用基础研究项目《基于模型与数据融合的车载电力电子变压器故障诊断方法研究》

[24] 成都中科合讯科技有限公司 《*****人工智能设计研究》

[25] 江苏骁卓自动化有限公司《光电部件外观质量检测系统》

[26]  国家自然科学基金青年项目  《基于信息测度的高速列车转向架故障诊断与健康评估方法研究》

2 参与的科研项目（部分）

[1]    国能朔黄铁路发展有限责任公司《面向安全高效运行的重载列车智能分析与辅助决策技术研究》

[2]    中铁工程服务有限公司《多模态信息驱动的盾构自动驾驶关键技术研究》

[3]    陕西靖神铁路有限责任公司《接触网腕臂检修作业机器人》

[4]    华东交通大学 《**铁路研究院2023年机务检修人员作业标准智能分析研究》

[5]    欧亚高科数字技术有限公司《机器人巡检基础技术研发》

[6]    中国航空工业集团公司成都飞机设计研究所《****信息融合算法开发》

[7]    国家自然科学基金高铁联合基金 《高速列车自主协同运行控制理论与方法研究》

[8]    四川省科技计划重点研发项目 《时速400公里高速列车运行智能控制关键技术研究》

[9]    成都运达创新电气有限公司《列车智能巡检机器人系统研究与应用》

[10] 北京全路通信信号研究设计院集团有限公司《车地无线通信数据智能分析系统的研究及软件开发》

[11] 广州运达智能科技有限公司《地铁列车外观故障检测技术》

[12] 国家自然科学基金面上项目《检测、诊断和定位轨道电路微小及早期故障的动态分布式方法》

[13] 四川省科技计划重点项目《搜救机器人关键技术及应用研究》

[14] 国家自然科学基金重点项目《车载大功率电力电子变压器鲁棒容错控制》

[15] 国家自然科学基金面上项目《基于时空多尺度迭代学习的高速列车精确运行控制方法研究》 

[16] 东莞市交大国际佳轨道交通发展有限公司《移动机器人同步定位与地图构建》

[17] 国家重点研发计划《高铁白车身机器人智能焊接拼接装技术研究》

[18] 成都交大光芒科技股份有限公司《铁路变电站巡检机器人研发》

[19] 国家自然科学基金重点项目 《动态迟滞非线性系统建模、控制与应用研究》

 部分SCI期刊论文：

[1]  Zhang Can, Hu Yuanjiang, Fang Jiaxin, Yin Yirui, Huang Deqing, Qin Na, A novel spatio-temporal feature fusion attention model for lithium-ionbattery capacity estimation using graph convolutional network, Energy,  2025 SCI 1区

[2]  Yang Zongjin, Wen Jun, Huang Deqing, Yang Aisen, Zhang Rong, Ren Bo, Chen Zhenhao, Yin Yirui, Qin Na*.Efficient segmentation of intraoperative anatomical landmarks in laparoscopic cholecystectomy based on deep learning，Computer Methods and Programs in Biomedicine，2025, (271): 109012.,SCI 2区

[3]  Jia Xinming, Qin Na, Huang Deqing, Ge Quanbo, Zhang Yiming. Heterogeneous Federated Large-Scale Model Architecture with Privacy Protection for Cross-Corporation Non-IID Fault Diagnosis, IEEE Transactions on Instrumentation & Measurement, , 2025, 25(14): 27043 - 27055. SCI 2区

[4]  Zhu Lei, Li Xuefang, Huang Deqing, Qin Na. Cooperative control of virtually coupled trains considering train-to-train communication cycle: a tube-based model predictive control approach[J]. Vehicle System Dynamics, 2025, 63(1): 3-25.

[5] Jia Xinming,Qin Na*, Huang Deqing, You Yiting, Du Jiahao. Multi-Sensor Graph Transfer Network with Multi-Attention Mechanism for Cross-Railway Fault Localization in High-Speed Train Bogie，Journal of Vibration and Control，2025,31. SCI 3区

[6]   Jia Xinming, Qin Na, Huang Deqing, Du Jiahao, Wang Tianwei. Industrial Large-Scale Diagnostic Model with Lightweight Customized Deployment for Distributed Multiple Non-IID Diagnostic Tasks. IEEE SENSORS JOURNAL,2025, 25(14): 27043-27055. SCI 3区

[7]  Yin Y, Huang D, Qin N, et al. A Stacked Generalized Zero-Shot Learning Framework for Fault Diagnosis of High-Speed Train Bogies With Data Imbalance[J]. IEEE Transactions on Instrumentation and Measurement, 2025,74. SCI 2区

[8] Du, Jiahao; Qin, Na; Huang, Deqing; Jia, Xinming; Zhang, Yiming. A Multi-rank Federated Distillation Framework for Data-imbalance Fault Diagnosis of Multi-railway High-speed Train Bogies, IEEE Transactions on Intelligent Transportation Systems, 2025,26(4):4823 - 4836 SCI 2区

[9]  Chen Y, Liu M, Huang D, Liu Z, Yang A, Qin N, et al.  Predicting short-term and long-term efficacy of HIFU treatment for uterine fibroids based on clinical information and MRI: A retrospective study，Academic Radiology，2025, 32(3): 1488-1499.  SCI 2区

[10]    Na Qin; Yirui Yin; Deqing Huang; Yiting You; Ranyang Hou. Generalized Zero-Shot Learning for Fault Diagnosis in High-Speed Train Bogies Based on Enhanced Diffusion Generative Models, IEEE Transactions on Reliability, 2025,74(2):2867-2879  SCI 2区

[11]  Jiahao Du, Na Qin*, Deqing Huang, Xinming Jia, Yiming Zhang. Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis with Training Optimization and Model Pruning[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-14  SCI 2区

[12]    杜家豪，秦娜*，贾鑫明，张一鸣，黄德青，基于联邦学习的多线路高速列车转向架故障诊断[J]. 西南交通大学学报, 2024, 59(1): 185-192  EI检索

[13]    Zhang Yiming, Qin Na*, Huang Deqing, et al. Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-12   SCI 2区

[14]    Jin Xu*, Jinfeng Bu, Na Qin*, Deqing Huang. SCA-MADRL: Multiagent deep reinforcement learning framework based on state classification and assignment for intelligent shield attitude control[J]. Expert Systems with Applications, 2024, 235: 121258   SCI1区

[15]    Zhang Yiming, Qin Na, Huang Deqing, Yin Yirui,Yang Aisen.Generalized Zero-Shot Diagnosis Strategy for High-Speed Train Bogie Faced with a Scarcity of Specific Fault Samples, Journal of Vibration and Control.2024   SCI三3区

[16]    Na Qin, Yiting You, Deqing Huang, Xinming Jia, Yiming Zhang, Jiahao Du, Tianwei Wang, AttGAN-DPCNN: An Extremely Imbalanced Fault Diagnosis Method for Complex Signals From Multiple Sensors, IEEE sensors Journal, 2024, 24(22): 38270-38285.  SCI 2区

[17]    Jia Xinming, Qin Na*, Huang Deqing, Du Jiahao, Zhang Yiming. GraphFL: Graph Federated Learning for Fault Localization of Multi-Railway High-Speed Train Suspension Systems, IEEE Transactions on Instrumentation & Measurement, 2024 . 10.1109/TIM.2024.3472829  SCI 2区

[18]    Junqiang Cheng, Binnan Zhao, Ziyi Liu, Deqing Huang, Na Qin*, Aisen Yang, Yuan Chen, and Jian Shu，DMGM: deformable-mechanism based cervical cancer staging via MRI multi-sequence，Physics in Medicine and Biology，2024, 69(11) : 115044.  SCI3区

[19]    Jiahao Du, Na Qin*, Deqing Huang, Yiming Zhang, Xinming Jia，An Efficient Federated Learning Framework for Machinery Fault Diagnosis with Improved Model Aggregation and Local Model Training，IEEE Transactions on Neural Networks and Learning Systems，2024,35(7) : 10086-10097.  SCI1区

[20]    Mao Yongjie, Huang Deqing, Qin Na*,Zhu Lei etc. Cooperative 3D path planning of multi-UAV via improved fruit fly optimization, Journal of Systems Engineering and Electronics, 2023 SCI 3区

[21]    Aisen Yang, Lulu Xu, Na Qin*, Deqing Huang, Ziyi Liu, Jian Schu. MFU-Net: A Deep Multimodal Fusion Network for Breast Cancer Segmentation with Dual-layer Spectral Detector CT. Applied Intelligence. 2023,54(5): 3808-3824.  SCI 2区

[22]    Na. Qin, Tianwei. Wang, Deqing. Huang, Y. You and Y. Zhang, VWM-DCRNN: A Method of Combining Signal Processing With Deep Learning for Fault Diagnosis in Single-Phase PWM Rectifier, IEEE Transactions on Power Electronics, 2023, 38(7), 8894-8906,  SCI一区

[23]    Huang Deqing, He Yingxiang, Yu Wei, Qin Na, et al. Spatial Adaptive Iterative Learning Tracking Control for High-Speed Trains Considering Passing Through Neutral Sections[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(10): 6157 - 6168. SCI 1区

[24]    Na Qin, Tianwei Wang, Deqing Huang*, Yiming Zhang, Lei Ma，An Open-Switch Fault Diagnosis Method for Single-Phase PWM Rectifier Based on CEEMD-DNN，International Journal of Control Automation and Systems，2023, 21(10): 3430–3442，SCI三区

[25]    Na Qin, Jiahao Du, Yiming Zhang, Deqing Huang*, Bi Wu，Fault Diagnosis of Multi-railway High-Speed Train Bogies by Improved Federated Learning[J]. IEEE Transactions on Vehicular Technology, 2023, 72(6): 7184-7194. SCI 2区

[26]    Wei Yu, Deqing Huang, Na Qin*，Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains under Fading Measurements and Denial-of-Service Attacks[J]. IEEE Transactions on Vehicular Technology, 2023,72(5): 5690-5701. SCI 2区.

[27]    Ziyi Liu, Lulu Xu, Na Qin*, Aisen Yang, Yuan Chen, Deqing Huang, Jian Shu*，Prediction of esophageal and gastric varices rebleeding for cirrhotic patients based on deep learning[J]. Biomedical Signal Processing and Control, 2023, 81: 104420，SCI二区   

[28]    Ziyi Liu, Deqing Huang, Chunmei Yang, Jian Shu*, Jinhan Li, Na Qin*，Efficient Axillary Lymph Node Detection Via Two-stage Spatial-information-fusion-based CNN，Computer Methods and Programs in Biomedicine，2022，223:106953  SCI二区

[29]    Huang Deqing, Huang Tianpeng*, Qin Na, et al. Finite-time control for a UAV system based on finite-time disturbance observer[J]. Aerospace Science and Technology, 2022, 129: 107825. SCI 1区.

[30]    Xinyue Wang, Deqing Huang*, Na Qin, Chunrong Chen, Kai Zhang. Modeling and Second-Order Sliding Mode Control for Lateral Vibration of High-Speed Train With MR Dampers. IEEE Transactions on Intelligent Transportation Systems . 2022, 23(8): 10299-10308.  SCI 一区

[31]   Yiming Zhang，Na Qin*，Deqing Huang，Jiahao Du，Precise Diagnosis of Unknown Fault of High-Speed Train Bogie Using Novel FBM-Net，IEEE Transactions on Instrumentation and Measurement，2022,71:1-11，SCI二区

[32]  Xinming Jia, Na Qin*, Deqing Huang, Yiming Zhang, Jiahao Du，A Clustered Blueprint Separable Convolutional Neural Network with High Precision for High-speed Train Bogie Fault Diagnosis，Neurocomputing，2022，500:422-433. SCI二区

[33]   Wei Yu, Deqing Huang*, Xuhui Bu, Na Qin，Iterative Learning Guaranteed Cost Control Based on Two-dimensional Roesser Systems Subject to Denial-of-service Attacks and Fading Measurments，International Journal of Robust and Nonlinear Control，2022; 32( 11): 6441– 6462. SCI二区

[34]  Na Qin, Bi Wu, Deqing Huang*, Yiming Zhang, Stepwise Adaptive Convolutional Network for Fault Diagnosis of High-speed Train Bogie under Variant Running Speeds, IEEE Transactions on Industrial Informatics, 2022,18(16),8389-8398  SCI 一区

[35]    Yiming Zhang，Na Qin*，Deqing Huang，Bi Wu, Ziyi Liu，High-accuracy and Adaptive Fault Diagnosis of High-Speed Train Bogie Using Dense-Squeeze Network，IEEE Transactions on Vehicular Technology，2022,71(3),2501-2510, SCI 二区 A类

[36]    Deqing Huang, Tengfei Huang, Chunrong Chen, Na Qin*, Xu Jin, Qingyuan Wang, Yong Chen，Iterative Learning Control for High-Speed Trains with Velocity and Displacement Constraints，International Journal of Robust and Nonlinear Control，2022，32(6), 3647-3661, SCI 二区  A类

[37]    Zifeng Gong, Deqing Huang, Lei Ma, Na Qin*, Habib Ullah Khan Jadoon. Grid voltage sensor fault-tolerant control for single-phase two-level PWM rectifier. IET Electric Power Applications. 2022,16(7), 776– 788   SCI 三区

[38]    Xinyue Wang, Deqing Huang*, Na Qin, Chunrong Chen, Kai Zhang,，Modeling and Second-order Sliding Mode Control for Lateral Virbration of High-speed Train With MR Dampers，IEEE Transactions on Intelligent Transportation Systems，2022,23(8):10299-10308，SCI 一区

[39]    Yong Chen, Deqing Huang,  Na Qin*, Yanhui Zhang，Adaptive Iterative Learning Control for a Class of Nonlinear Strict-Feedback Systems with Unknown State Delays，IEEE Transactions on Neural Networks and Learning Systems，2021, 34(9): 6416-6427. SCI 一区

[40]  Ziyi Liu, Deqing Huang, Na Qin*, Yiming Zhang, Sijie Ni. An improved subpixel-level registration method for image-based fault diagnosis of train bodies using SURF features. Measurement Science and Technology. 2021,2(11):115402. SCI 二区

[41]   Huang Deqing ,Yang Wanqiu, Huang Tengfei , Na Qin* , Chen Yong , Tan Ying,  Iterative Learning Operation Control of High-Speed Trains With Adhesion Dynamics. IEEE Transactions on Control Systems Technology .2021,9(6):2598–608.   SCI二区

[42]    Deqing Huang, Shupan Li, Na Qin*, Yuanjie Zhang. Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms. IEEE Transactions on Instrumentation and Measurement. 2021,0:1–11.   SCI 二区

[43]  Na Qin, Longkai Liu, Deqing Huang *, Bi Wu, Zonghong Zhang. LeanNet: An Efficient Convolutional Neural Network for Digital Number Recognition in Industrial Products. Sensors. 2021,1(11):3620.     SCI 三区

[44]   Ziyi Liu; Sijie Ni; Chunmei Yang; Weihao Sun; Deqing Huang; Hu Su; Jian Shu; Na Qin*. Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning. Computers in Biology and Medicine .  2021,36:104715.     SCI二区

[45]    Chunmei Yang, Jing Dong, Ziyi Liu, Qingxi Guo, Yue Nie, Deqing Huang, Na Qin*, Jian Shu*. Prediction of Metastasis in the Axillary Lymph Nodes of Patients With Breast Cancer: A Radiomics Method Based on Contrast-Enhanced Computed Tomography. Frontiers in Oncology. Frontiers Media SA; 2021, 11.    SCI 三区

[46]  Tian Xiangjin, Huang Deqing*, Qin Na,Gong Zifeng, Wang Qingyuan, Guaranteed Cost Optimal Control of High-Speed Train with Time-delay in Cruise Phase, International Journal of Control Automation and Systems, 2021,19(6) 2971-2983.  SCI 三区

[47]   Deqing Huang , Yuanzhe Fu , Na Qin*, Shibin Gao. Fault diagnosis of high-speed train bogie based on LSTM neural network. Science China Information Sciences. 2021, 64: 119203.  SCI 二区

[48]    Na Qin, Kaiwei Liang, Deqing Huang*, Lei Ma, Andrew H Kemp. Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-speed Train Bogie. IEEE Transactions on Neural Networks and Learning Systems. 2020, 31(12): 5363-5376  SCI一区

[49]    Lingling Chen, Na Qin*, Xi Dai, and Deqing Huang, Fault Diagnosis of High-Speed Train Bogie Based on Capsule Network, IEEE Transactions on Instrumentation and Measurement. 2020, 69(9): 6203-6211  IF:3.067.  SCI 二区

[50]    Shupan. Li, Na Qin, Darong Huang, Deqing Huang* and L. Ke, Damage Localization of Stacker’s Track Based on EEMD-EMD and DBSCAN Cluster Algorithms, IEEE Transactions on Instrumentation and Measurement, 2020,69(5):1981-1992. SCI 二区.

[51]    Xi Dai, Yuxin Mao, Tianpeng Huang, Na Qin. Automatic obstacle avoidance of quadrotor UAV via CNN-based Learning, Neurocomputing. 2020, 402: 346-348  SCI二区

[52]    Jingkang Xia, Deqing Huang, Yanan Li, Na Qin. Iterative learning of human partner's desired trajectory for proactive human-robot collaboration, International Journal of intelligent Robotics and applications, 2020, 4(2):229-242. 

[53]    Liyuan Su, Lei Ma, Na Qin*, Deqing Huang and A. H. Kemp, Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net ,  IEEE Transactions on Industrial Informatics, 2019, 15(7):3856-3863. SCI 一区

[54]    Yong Chen, Deqing Huang, Tianpeng Huang and Na Qin*, Tracking Control via Iterative Learning for High-Speed Trains With Distributed Input Constraints, IEEE Access, 2019, 6(7): 84591-84601. IF: 4.098 SCI 三区

[55]    Chunmei Yang, Mengping Huang, Shupan Li, jianqiang Chen, Yao Yang, Na Qin, Deqing Huang* and Jian Shu*, Radiomics model of magnetic resonance imaging for predicting pathological grading and lymph node metastases of extrahepatic cholangiocarcinoma, Cancer Letters,2019,11(470): 1-7.   IF:6.508   SCI 一区  

[56]    Kaiwei Liang , Na Qin, Deqing Huang *, Yuanzhe Fu , Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie, Compexity, 2018(5):1-13.  SCI 二区

1.     2019年8月 香港 参加CCTA 2019，访问香港理工大学，香港城市大学

2.     2018年10月 英国Leeds大学

3.     2017年8月 新加坡国立大学，南洋理工大学

4.     2017年7月 法国图卢兹 参加IFAC2017

5.     2014年7月 美国俄克拉荷马州立大学

(1) 人工智能与大数据分析

(2) 机器视觉与巡检机器人控制

(3) 医工交叉与智能辅助诊疗

(4) 轨道交通装备故障诊断与智能运维

l  亚洲控制协会数据驱动控制系统专业委员会委员（ACADDCS）

l 中国自动化学会技术过程的故障诊断与安全性专业委员会（FDD）委员

l  中国自动化学会数据驱动控制、学习与优化专业委员会（DDCLS）委员

l  中国计算机学会工业控制计算机专业委员会委员

l  中国自动化学会女科技工作者工作委员会委员  

l  中国人工智能学会（CAAI）青年工作委员会委员

l  四川省人工智能学会理事

l 成都自动化研究会理事

l  中国自动化学会（CAA）会员

l  Institute of Electrical and Electronic Engineers（IEEE）会员

l  IEEE Transactions on Industrial Electronics，Transactions on Intelligent Transportation Systems 等学术期刊审稿专家