课题组的研究与实践训练紧密围绕泛在感知与智能认知、智能诊断与可信决策、视觉智能与场景理解、大模型与复杂系统赋能等研究方向展开，面向人工智能驱动的产业变革、数字化转型与新型基础设施建设，服务复杂工程系统在状态感知、机理解析、风险研判、场景理解与协同优化等方面的前沿需求。课题组持续推动硕博士研究生深度参与前沿科研问题攻关，在培养过程中更加注重可迁移的底层能力结构，重点培养数学建模、信号与数据理解、人工智能算法实现、视觉与多模态信息处理、系统分析与综合判断能力，而非局限于某一具体应用场景或技术工具。毕业生主要就业情况如下：

——博士研究生——

2026级 肖然

2025级 阮文帅（强基）、徐梦迪

2024级 李子骏、李逸飞（强基）

2023级 孔维轩

2022级 刘光宇

2020级 刘汉伟（华为）

2018级 蔺倾程（留校）

2017级 蔡慧玲_同济大学优秀毕业生（OPPO）

——硕士研究生——

2026级 金嘉凯、罗森宝、金乐雨、曾翔宇

2025级 单万坤、王琛丰、周静怡

2024级 江源庆、樊安琪

2023级 刘娜、陈怡铭

2022级 陆郦安（美团）、陶皖宁（美团）

2021级 甘罗（平安科技）

2020级 于世奇（公务员）

2022届 吕辅勇_同济大学优秀毕业生（选调生）、候诗琦（阿里巴巴）、张璐（中石油）

2021届 王露杰（百度）、周琦（留校）

2020届 张翰（某部文职）、钱春亚_同济大学优秀毕业生\优秀毕业论文（摩根士丹利）、欧旸晖（阿里巴巴）

2019届 曹合心（平安科技）、刘念（微软）

2018届 张音（招商银行）

2017届 虞渊（字节跳动）、邵玉娇（字节跳动）

自同济大学任职以来，聚焦智能技术发展的瓶颈问题，多次主持国家级重点项目，在科研成果和人才培养两个方面均实现预期目标。2026年，课题组依托项目资助，在智能故障诊断、轻量化小目标检测、情感计算、无人机视觉感知、局部放电检测和鲁棒声发射检测等方向取得系列重要进展，多项成果发表于或接收于国内外高水平期刊，并在国际学术会议上进行交流展示，充分体现了课题组在研究生科研训练、创新能力培养和高水平成果产出方面的良好基础。

（1）博士研究生徐梦迪等在低信噪比、小样本声发射故障诊断方向取得重要进展。2026年2月，论文“Kernel-Enhanced Mel-Dual-Attention Model for Acoustic Emission Fault Diagnosis Under Low-SNR and Small-Sample Conditions”发表于 IEEE Transactions on Instrumentation and Measurement（JCR Q1）。该研究针对弱声发射信号噪声强、样本少、特征难提取等问题，提出核增强 Mel 双注意力模型 KMDA，通过降噪、稀疏卷积核学习和双通道特征融合，提升了低信噪比、小样本条件下的诊断稳定性与鲁棒性，为复杂工业装备早期损伤识别提供了新的技术支撑。

（2）硕士研究生刘娜等在轻量化小目标检测与多维边缘增强方向取得重要进展。2026年4月，论文“EdgeEnhance-YOLO: A Lightweight Small Object Detection Model with Multi-Dimensional Edge Enhancement”发表于 IEEE Transactions on Aerospace and Electronic Systems（JCR Q1）。该研究面向小目标边缘细节弱、背景复杂和遮挡干扰等问题，提出多维边缘增强轻量化检测网络 EE-YOLO，在约 9.3M 参数量下提升了小目标边缘结构表达、多尺度融合和遮挡场景检测能力，为无人机视觉、遥感检测、交通监测和工业巡检提供了高效模型支撑。

（3）硕士研究生樊安琪等在个性化面部表情识别与情感计算方向取得新进展。2026年4月，论文“PHFNet: A Personality-Guided Hierarchical Fusion Network for Facial Expression Recognition”发表于 Biomedical Signal Processing and Control（JCR Q1）。该研究针对传统表情识别方法忽略个体人格差异的问题，提出人格引导的层次化融合网络 PHFNet，将人格特征、全局语义和局部表情细节进行融合，在 RAF-DB、FER-2013 和 JAFFE 数据集上取得良好识别效果，为情感计算、人机交互和个性化智能感知提供了方法支撑。

（4）硕士研究生单万坤等在无人机平台轻量化小目标检测方向取得新进展。2026年5月，论文“LE-YOLO: Lightweight-Enhanced Tiny Object Detector for UAV Platforms”在 2026 29th International Conference on Computer Supported Cooperative Work in Design 学术会议进行汇报。该研究面向无人机边缘部署中资源受限、小目标占比高和复杂场景特征退化等问题，提出基于 YOLOv8 的轻量化增强小目标检测模型 LE-YOLO，在降低参数量和计算量的同时提升了 VisDrone2019 数据集上的检测性能，为无人机平台实时感知与边缘部署提供了技术支撑。

（5）博士研究生徐梦迪等在局部放电声发射检测与特征表征方向取得新进展。2026年5月，论文“Mel-Frequency Cepstral Coefficients for Partial Discharge Detection in Gas-Insulated Switchgear from Denoised Acoustic Emission Signals”发表于 Electric Power Systems Research（JCR Q2）。该研究面向 GIS 局部放电检测中声发射信号噪声强、特征提取困难等问题，结合有限元仿真与光纤声发射传感实验，提出基于小波阈值降噪和 MFCC 特征的局部放电识别方法，最优平均识别准确率达 99.58%，为高压电力设备绝缘状态监测和故障诊断提供了技术支撑。

（6）硕士研究生单万坤等在航拍图像小目标检测与轻量化视觉模型方向取得重要进展。2026年6月，论文“EAUAV-YOLO: An Efficiency and Accuracy Enhanced Lightweight Detector for Small Objects in Aerial Images”被 Computer Vision and Image Understanding（JCR Q2）接收。该研究面向航拍图像小目标尺度变化大、背景复杂、遮挡频繁和边缘部署受限等问题，提出高效高精度轻量化小目标检测方法，兼顾检测精度与模型效率，进一步拓展了课题组在开放环境视觉智能、场景目标理解和边缘智能部署方面的研究基础。

（7）博士研究生刘光宇等在鲁棒声发射检测与误报控制方向取得重要进展。2026年6月，论文“Entropy-Driven Hierarchical Framework for Robust Acoustic Emission Detection with False-Alarm Control”被 Mechanical Systems and Signal Processing（JCR Q1）接收。该研究针对复杂工业环境中声发射信号弱、背景干扰强、误报风险高等问题，提出熵驱动的层次化鲁棒检测框架，将信息熵表征、分层检测和误报控制相结合，提升了复杂噪声条件下声发射事件识别的可靠性，为复杂装备健康监测和高可靠故障预警提供了方法支撑。

上述成果表明，课题组聚焦国家重大需求，坚持以高水平科研问题牵引研究生培养，鼓励硕博士研究生在导师指导下独立承担关键研究任务，围绕真实工程场景中的感知、诊断、识别与决策问题开展系统研究。通过扎实的科研训练和持续的论文写作指导，研究生能够较早进入国际学术前沿，在高水平期刊和会议中以第一作者身份发表研究成果，为后续继续深造、进入头部科技企业、投身科研机构或服务国家重大工程需求奠定坚实基础。

2020-2026：主持国家部委重点项目2项，课题1项；国自然面上1项；重点研发子课题1项。参与国家和省部级项目3项。主持横向课题2项。

2026年

一、期刊论文

1. Xu Mengdi, LiuGuangyu, Lu Li’an, Xiao Hui, Li Xuefeng*. Kernel-Enhanced Mel-Dual-Attention Modelfor Acoustic Emission Fault Diagnosis Under Low-SNR and Small-Sample Conditions[J].IEEE Transactions on Instrumentation and Measurement, 2026, 75: 3505815, 1–15.

2. Liu Na, Kong Weixuan,Jiang Yuanqing, Shan Wankun, Xiao Hui, Li Xuefeng*. EdgeEnhance-YOLO: A LightweightSmall Object Detection Model With Multidimensional Edge Enhancement[J]. IEEE Transactionson Aerospace and Electronic Systems, 2026, 62: 9165–9185.

3. Fan Anqi, KongWeixuan, Xiao Hui, Li Xuefeng*. PHFNet: A Personality-Guided Hierarchical FusionNetwork for Facial Expression Recognition[J]. Biomedical Signal Processing and Control,2026, 123(A): 110369. DOI: 10.1016/j.bspc.2026.110369.

4. Xu Mengdi, LyuFuyong, Lu Li’an, Zhu Man, Xiao Hui, Li Xuefeng*. Mel-Frequency Cepstral Coefficientsfor Partial Discharge Detection in Gas-Insulated Switchgear from Denoised AcousticEmission Signals[J]. Electric Power Systems Research, 2026, 260: 113307.

5. Shan Wankun, LiuNa, Jiang Yuanqing, Wu Hongxing, Xiao Hui, Li Xuefeng*. EAUAV-YOLO:An Efficiencyand Accuracy Enhanced Lightweight Detector for Small Objects in Aerial Images[J].Computer Vision and Image Understanding, 2026. Accepted.

6. Liu Guangyu, KuangKevin Sze Chiang, Ruan Wenshuai, Chen Yiming, Xu Mengdi, Liu Yuhong, Xiao Hui, LiXuefeng*. Entropy-Driven Hierarchical Framework for Robust Acoustic Emission Detectionwith False-Alarm Control[J]. Mechanical Systems and Signal Processing, 2026. Accepted.

二、会议论文

1. ShanWankun, LiuNa, Jiang Yuanqing, Wu Hongxing, Xiao Hui, Li Xuefeng*. LE-YOLO:Lightweight-EnhancedTiny Object Detector for UAV Platforms[C]// Proceedings ofthe 29th InternationalConference on Computer Supported Cooperative Work inDesign, Fuzhou, China, May 13–15,2026.

 

2025年

一、期刊论文

1. Zhu Haozhe, LinQingcheng, Li Xuefeng*, Xiao Hui*, Shao Ting. Short-Term Electrical Load ForecastingBased on Pattern Label Vector Generation[J]. Energy and Buildings, 2025: 115383.

2. Liu Guangyu, XiaoHui, Li Xuefeng*. Radiation Damage Kinetic Model Based on the Multi-Dominant ColorCenter Evolution Mechanism for Silica-Based Optical Fibers[J]. Radiation Physicsand Chemistry, 2025, 230: 112581.

3. Lu Li’an, LiuGuangyu, Xiao Hui, Li Xuefeng*. Architecture Design and Implementation for SensingEquipment Faults from Ultra-Weak Acoustic Emission Signals[J]. Sound & Vibration,2025, 59(2): 2757.

4. Lin Qingcheng,Zhu Haozhe, Li Xuefeng*, Xiao Hui*. An Optimization Architecture for Multi-TimescaleEnergy Scheduling Under Renewable Uncertainty[J]. Computers & Industrial Engineering,2025: 111374.

5. Qu Jiqing, LinTianyu, Lin Qingcheng, Li Xuefeng, Xiao Hui*. Effects of Ambient Temperature onHeart Rate and Blood Oxygen Saturation in Sedentary People[J]. Building and Environment,2025, 279: 113022.

6. Qu Jiqing, LiXuefeng, Xiao Hui*. From Environment to Emotion: The Mediating Role of EnvironmentalSensation in Sedentary Individuals[J]. Building and Environment, 2026, 287: 113793.

7. 李子骏, 肖辉, 李雪峰*. 面向知识密集型任务的检索增强生成技术综述[J]. 微电子学与计算机, 2025, 42(10): 48–65.

8. Zhang Song*, ZhangRui, Li Jian, Li Xuefeng. Procedural Generation of Lens Soiling Data via Physics-BasedSimulation[J]. The Visual Computer, 2025, 41: 10433–10449.

二、会议论文

1. Lu Wenbo, LinQingcheng, Li Xuefeng, Xiao Hui. A Novel Hybrid Models Based on Secondary Decompositionof Entropy Reconstruction and Error Correction for Short-Term Wind Power Prediction[C]//第44届中国控制会议, 2025: 6482–6487.

 

2024年

一、期刊论文

1. Cai Huiling,Qu Jiqing, Li Xuefeng*. Joint Control Strategy for Daylighting and ArtificialLighting Based on Mathematical Modeling and Differential Evolution[J].Intelligent Buildings International, 2024, 16(2): 88–102.

2. Cai Huiling,Lin Qingcheng, Liu Hanwei, Tian Maocang, Li Xuefeng, Xiao Hui*. The Influenceof Vertical Illuminance on Cognitive Performance and Subjective EvaluationsDuring Simulated Conditions of Polar-Night Specificity[J]. LEUKOS, 2024, 20(2):172–193.

3. Cai Huiling,Lin Qingcheng, Liu Hanwei, Li Xuefeng, Xiao Hui*. Recognition of Human Mood,Alertness and Comfort Under the Influence of Indoor Lighting UsingPhysiological Features[J]. Biomedical Signal Processing and Control, 2024, 89:105661.

4. LinQingcheng, Cai Huiling, Liu Hanwei, Li Xuefeng*, Xiao Hui*. A NovelUltra-Short-Term Wind Power Prediction Model Jointly Driven by MultipleAlgorithm Optimization and Adaptive Selection[J]. Energy, 2024, 288: 129724.

5. 李雪峰, 甘罗, 周琦*. 石英MEMS陀螺检测电极分布参数优化[J]. 中国惯性技术学报, 2024, 32(6): 592–597.

6. Qu Jiqing, LiXuefeng, Xiao Hui*. A Novel Tri-Stage with Reward-Switching Mechanism forConstrained Multiobjective Optimization Problems[J]. Complex & IntelligentSystems, 2024, 10: 4625–4655.

二、会议论文

1. Chen Yiming,Du Xiaowen, Xie Min, Ji Jing, Xiao Hui, Li Xuefeng. Transformer-BasedLow-Interference Respiratory Signal Fusion Sleep Staging Algorithm[C]//Proceedings of the 2024 International Conference on Sensing, Measurement &Data Analytics in the Era of Artificial Intelligence, Huangshan, China, 2024:1–6.

2. Yu Jinpeng,Li Zijun, Liu Na, Kong Weixuan, Xiao Hui, Li Xuefeng. Application of mT5 andSemantic Role Labeling for Aspect-Based Sentiment Analysis in PoliticalOpinion[C]// Proceedings of the 2024 International Conference on Sensing,Measurement & Data Analytics in the Era of Artificial Intelligence,Huangshan, China, 2024: 1–5.

3. Xiao Huaming,Liu Guangyu, Hang Shuwen, Jin Zhixuan, Tao Liang, Li Xuefeng. IntegratingMotion Deblurring with Deep Learning for Real-Time Defect Detection inHigh-Speed Steel Production[C]// Proceedings of the 2024 InternationalConference on Sensing, Measurement & Data Analytics in the Era ofArtificial Intelligence, Huangshan, China, 2024: 1–6.

4. LinQingcheng, Lu Wenbo, Qu Jiqing, Zhu Haozhe, Li Xuefeng, Xiao Hui.Multi-Objective Optimization Scheduling Based on Renewable Energy UncertaintyScenarios for the Reliability of Power System Operation[C]// Proceedings of the36th Chinese Control and Decision Conference, Xi’an, China, 2024: 2952–2957.

 

2023年

一、期刊论文

1. LinQingcheng, Zhang Chi, Cai Huiling, Li Xuefeng, Xiao Hui*. Urban Night LightingEvaluation System and Case Study: Blending Popular Contemporary Elements,Cultural Traditions, and Advanced Lighting Technologies[J]. EngineeringConstruction and Architectural Management, 2023, 31(7): 2916–2931.

二、会议论文

2. Liu Na, ChenYiming, Yang Yexing, Ji Jing, Xiao Hui, Li Xuefeng*. Deformation Initial ValueEstimation Method Based on an Improved SIFT Algorithm[C]// Proceedings of the2023 4th International Conference on Sensing, Measurement & Data Analyticsin the Era of Artificial Intelligence, Xi’an, China, November 2–4, 2023. BestPaper Award.

3. Li Zijun, YuJinpeng, Kong Weixuan, Liu Na, Li Xuefeng, Xiao Hui*. Usage of ResNet18 withCBAM Attention Mechanisms in Facial Emotion Recognition[C]// Proceedings of the2023 4th International Conference on Sensing, Measurement & Data Analyticsin the Era of Artificial Intelligence, Xi’an, China, November 2–4, 2023.

 

2022年

一、期刊论文

1. Cai Huiling,Lin Qingcheng, Liu Hanwei, Li Xuefeng, Xiao Hui*. A Multi-ObjectiveOptimisation Mathematical Model with Constraints Conducive to the HealthyRhythm for Lighting Control Strategy[J]. Mathematics, 2022, 10(19): 3471.

2. Liu Hanwei,Cai Huiling, Lin Qingcheng, Zhang Xiwen, Li Xuefeng*, Xiao Hui*. FEDA:Fine-Grained Emotion Difference Analysis for Facial Expression Recognition[J].Biomedical Signal Processing and Control, 2022, 79: 104209.

3. Liu Hanwei,Li Wenchao, Cai Huiling, Lin Qingcheng, Li Xuefeng*, Xiao Hui*. Research onLocation Selection Model of 5G Micro Base Station Based on Smart StreetLighting System[J]. Mathematics, 2022, 10(15): 2627.

4. LinQingcheng, Yu Shiqi, Lyu Fuyong, Xiao Hui, Li Xuefeng*. Optimized DenoisingMethod for Weak Acoustic Emission Signal in Partial Discharge Detection[J].IEEE Transactions on Dielectrics and Electrical Insulation, 2022, 29(4):1409–1416.

5. Liu Hanwei,Cai Huiling, Lin Qingcheng, Li Xuefeng, Xiao Hui*. Adaptive MultilayerPerceptual Attention Network for Facial Expression Recognition[J]. IEEETransactions on Circuits and Systems for Video Technology, 2022, 32(9):6253–6266.

6. 曹合心, 赵亮, 李雪峰*. 图神经网络在 Text-to-SQL 解析中的技术研究[J]. 计算机科学, 2022, 49(4): 110–115.

二、会议论文

1. Lu Li’an, TaoWanning, Liu Guangyu, Xiao Hui, Li Xuefeng*. Effectiveness Analysis of the MelSpectrum Features of AE Signals in the Detection of Partial DischargeFaults[C]// Proceedings of the 2022 International Conference on Sensing,Measurement & Data Analytics in the Era of Artificial Intelligence, Harbin,China, December 22–24, 2022.

2. Gan Luo, HouShiqi, Liu Guangyu, Tao Wanning, Xiao Hui, Li Xuefeng*. Fiber Optic MagneticField Sensor with Wide Range Based on Magnetic Fluid Refractive IndexTunability[C]// Proceedings of the 2022 International Conference on Sensing,Measurement & Data Analytics in the Era of Artificial Intelligence, Harbin,China, December 22–24, 2022.

3. Liu Guangyu,Lu Li’an, Tao Wanning, Tian Maocang, Xiao Hui, Li Xuefeng*. Kinetic Model forRadiation-Induced Attenuation in Silica-Based Optical Fibers: Analysis ofGeneration and Annihilation of Two Leading Color Center Defects[C]//Proceedings of the 2022 International Conference on Sensing, Measurement &Data Analytics in the Era of Artificial Intelligence, Harbin, China, December22–24, 2022.

 

2021年

一、期刊论文

1. 朱子东, 吕辅勇*, 李雪峰. 融合 MFCC 特征的声发射故障检测[J]. 仪表技术与传感器, 2021(9): 121–125.

2. Hou Shiqi,Qin Yongrui, Gao Jiaxin, Lyu Fuyong, Li Xuefeng*. Intelligent Monitoring SystemBased on Optical Fiber Acoustic Emission Sensor and Its Application in PartialDischarge Diagnosis of Gas-Insulated Switchgear[J]. Sensors and Materials,2021, 33(4): 1127–1136.

3. Yu Shiqi,Qian Chunya, Zhou Qi, Wang Lujie, Xiao Hui, Ye Song, Li Xuefeng*. Wide-RangeOptical Fiber Temperature Sensor Based on Up-Conversion LuminescentNanocrystals[J]. Optics Letters, 2021, 46(7): 1600–1603.

4. Xiao Hui*,Cai Huiling, Li Xuefeng. Non-Visual Effects of Indoor Light Environment onHumans: A Review[J]. Physiology & Behavior, 2021, 228: 113195.

二、会议论文

1. Cai Huiling,Lin Qingcheng, Liu Hanwei, Yu Shiqi, Li Xuefeng, Xiao Hui. The Effects ofIndoor Light Environment on Mood and Alertness Through PhysiologicalMeasurements[C]// Proceedings of the 2nd International Conference on Sensing,Measurement & Data Analytics in the Era of Artificial Intelligence,Nanjing, China, October 21–23, 2021.

2. LinQingcheng, Cai Huiling, Liu Hanwei, Liu Guangyu, Li Xuefeng, Xiao Hui. A NovelHybrid Model Based on Gaussian Process Regression for Short-Term Wind PowerForecasting[C]// Proceedings of the 2nd International Conference on Sensing,Measurement & Data Analytics in the Era of Artificial Intelligence,Nanjing, China, October 21–23, 2021.

3. Tian Maocang,Liu Hanwei, Ruan Zheng, Li Qingfang, Li Xuefeng, Xiao Hui. Method for DenoisingHyperspectral Images Based on Low-Rank Theory and Sparse Representation[C]//Proceedings of the 2nd International Conference on Sensing, Measurement &Data Analytics in the Era of Artificial Intelligence, Nanjing, China, October21–23, 2021.

 

2020年

一、期刊论文

1. Li Xuefeng,Zang Han, Qian Chunya, Ou Yanghui, Shen Runjie, Xiao Hui*. A New Type ofStructure of Optical Fiber Pressure Sensor Based on Polarization Modulation[J].Optics and Lasers in Engineering, 2020, 130: 106095.

2. 郭壮, 覃泳睿, 唐骏龙, 谢旭光, 李雪峰. 基于异质平均场复杂网络模型的新型冠状病毒传染性分析[J]. 系统仿真技术, 2020, 16(2): 78–84.

3. Li Xuefeng,Qian Chunya, Shen Runjie, Xiao Hui, Ye Song*. Study of Optical Fiber CryogenicTemperature Sensor for Quench Detection of High Temperature Superconductors[J].Optics Express, 2020, 28(6): 8233–8239.

二、会议论文

1. Liu Hanwei,Cai Huiling, Lin Qingcheng, Li Xuefeng, Xiao Hui, Wang Lei. EmotionReclassification Model Based on Clustering Algorithm[C]// Proceedings of the5GAI INSAI Connected Global Forum & 2nd International Conference onArtificial Intelligence and Advanced Manufacturing, Shanghai, China, December26, 2020.

2. 于世奇, 李雪峰. 基于光纤声发射传感器的故障识别系统研究[C]// 第二届全国光子技术论坛, 广州, 2020年11月27–30日.

3. Yu Shiqi, QinYongrui, Gao Jiaxin, Hou Shiqi, Lyu Fuyong, Li Xuefeng. Performance Improvementof Wavelet Noise Reduction Based on New Threshold Function[C]// Proceedings ofthe International Conference on Sensing, Measurement & Data Analytics inthe Era of Artificial Intelligence, Xi’an, China, October 15–17, 2020.

4. Lyu Fuyong, YangZhouhang, Wang Lujie, Zhou Qi, Hou Shiqi, Li Xuefeng. Behavior AnomalyDetection Fused with Features of Mel Frequency Cepstrum Coefficients[C]//Proceedings of the International Conference on Sensing, Measurement & DataAnalytics in the Era of Artificial Intelligence, Xi’an, China, October 15–17,2020.

5. 郭壮, 覃泳睿, 唐骏龙, 李雪峰. 基于异质平均场复杂网络的传染病动力学模型研究[C]// 第39届中国控制会议, 沈阳, 2020年7月27–29日.

 

2019年

一、期刊论文

1. Li Xuefeng,Cao Hexin, Chang Zhiming, Zhang Xinyu, Zhao Weishi, Shen Runjie*. A Fiber OpticUltrasonic Sensor Using Polarization-Maintaining Fiber for Partial DischargeMonitoring[J]. Sensors and Materials, 2019, 31(5): 1407–1417.

2. Shen Runjie,Ou Yanghui, Zhou Ying, Zhao Weishi, Li Xuefeng*. Partial Discharge Detectionand Characteristics of GIS Free Metal Particles Based on Acoustic Emission[J].Sensors and Materials, 2019, 31(5): 1467–1475.

3. Cai Huiling,Shen Shoupeng, Lin Qingcheng, Li Xuefeng*, Xiao Hui*. Predicting the EnergyConsumption of Residential Buildings for Regional Electricity Supply-Side andDemand-Side Management[J]. IEEE Access, 2019, 7: 30386–30397.

4. Liao Huazhen,Ye Song*, Shen Runjie, Li Xuefeng, Wang Deping. Effective Formation of AgNanoclusters and Efficient Energy Transfer to Yb3+ Ions in Borosilicate Glassesfor Photovoltaic Application[J]. Materials Research Bulletin, 2019, 111: 113–117.

5. 曹合心, 张瀚, 吕辅勇, 赵伟时, 李雪峰. 保偏光纤双折射度压力敏感性分析[J]. 系统仿真技术, 2019, 15(2): 87–92.

6. 方景, 殷涛, 王坦, 陶涛, 李雪峰, 李文超. “5G+智慧灯杆”在智慧城市中的应用探讨[J]. 照明工程学报, 2019, 30(4): 6–9.

7. 罗彩姿, 蔺倾程, 李雪峰, 肖辉. 办公空间健康光环境的控制模型[J]. 照明工程学报, 2019, 30(2): 87–93, 137.

二、会议论文

1. 吕辅勇, 张瀚, 曹合心, 赵伟时, 李雪峰. 基于光纤传感器的绝缘放电检测技术研究[C]// 中国自动化大会2019, 杭州, 2019年11月22–24日.

2. 张瀚, 吕辅勇, 曹合心, 赵伟时, 李雪峰. 基于高双折射特性光子晶体光纤的压力传感器研究[C]// 中国自动化大会2019, 杭州, 2019年11月22–24日.

3. 汪韩, 唐骏龙, 张瀚, 李雪峰, 肖辉. 基于红外热成像的行车预警系统研究[C]// 中国自动化大会2019, 杭州, 2019年11月22–24日.

三、其他成果

1. Li Xuefeng.Guest Editor, Special Issue on Sensing, Interaction, and Fusion Towards SmartCities[J]. Sensors and Materials, 2019, 31(6).

 

2018年

一、期刊论文

1. Li Xuefeng,Qian Chunya, Shen Runjie, Xiao Hui, Zhao Weishi, Ye Song*. A Fluorescence FiberOptic Temperature Sensor Based on Fused Upconversion LuminescentNanoparticles[J]. Optics Express, 2018, 26(23): 30753–30761.

2. Li Xuefeng,Zhang Yin, Cao Hexin, Zhang Xinyu, Shen Runjie*. Highly Sensitive AcousticEmission Sensor Based on Polarization-Maintaining and Absorption-ReducingPolarization-Maintaining Fiber[J]. Sensors and Materials, 2018, 30(5):1145–1153.

二、会议论文

1. Cao Hexin,Zhang Yin, Shen Runjie, Li Xuefeng. A Fiber Optic Ultrasonic Sensor UsingPolarization-Maintaining Fiber for Partial Discharge Monitoring[C]//Proceedings of the International Multi-Conference on Engineering and TechnologyInnovation, Taoyuan, Taiwan, November 2–6, 2018.

2. Qian Chunya,Cao Hexin, Shen Runjie, Li Xuefeng. A Fiber Optic Temperature Sensor Based onUpconversion Luminescent Material[C]// Proceedings of the InternationalMulti-Conference on Engineering and Technology Innovation, Taoyuan, Taiwan,November 2–6, 2018.

3. Ou Yanghui,Liu Nian, Shen Runjie, Li Xuefeng. Partial Discharge Detection andCharacteristics of GIS Free Metal Particles Based on Acoustic Emission[C]//Proceedings of the International Multi-Conference on Engineering and TechnologyInnovation, Taoyuan, Taiwan, November 2–6, 2018.

4. Liu Nian,Zhang Han, Shen Runjie, Li Xuefeng. An Improved Semi-Blind Non-Negative MatrixFactorization Algorithm for Spectral Unmixing of Hyperspectral VenousImage[C]// Proceedings of the International Multi-Conference on Engineering andTechnology Innovation, Taoyuan, Taiwan, November 2–6, 2018.

 

2017年

一、期刊论文

一、期刊论文

 

1. Li Xuefeng,Shao Yujiao, Yu Yuan, Zhang Yin, Shen Runjie*. Characteristic of AcousticEmission Signal from Stress Corrosion Cracking in Low-Carbon Nitrogen-EnhancedStainless Steel[J]. Sensors and Materials, 2017, 29(9): 1305–1313.

二、会议论文

1. 张音, 李雪峰, 沈润杰. 气体绝缘组合电器局部放电监测系统的设计与实现[C]// 第36届中国控制会议, 大连, 2017年7月26–28日.

三、其他成果

1. 李雪峰. 《基于窄带物联网（NB-IoT）的道路照明智能控制系统技术规范》（T/CSA 052-2018 / T/CIES 015-2017）[S]. 主要起草人, 2018.

2. PawlatJoanna*, Li Xuefeng, Sugiyama Tadashi, Matsuo Takahiro, Liang Jinxing, ZiminYura, Zimin Lev, Ikezawa Satoshi, Ueda Toshitsugu. Photonic Bandgap Fibre BasedGas Sensing[M]// Fiber Optic Sensors: Current Status and Future Possibilities.Cham: Springer International Publishing, 2017.

 

2016年

一、期刊论文

1. Li Xuefeng*,Shao Yujiao, Yu Yuan, Zhang Yin, Wei Shaowen. A Highly Sensitive Fiber-OpticFabry–Perot Interferometer Based on Internal Reflection Mirrors for RefractiveIndex Measurement[J]. Sensors, 2016, 16(6): 794.

二、会议论文

1. Yu Yuan, ShaoYujiao, Zhang Yin, Wei Shaowen, Li Xuefeng. Design and Analysis of a New Typeof Pressure Sensor Based on the High-Birefringent Photonic Crystal Fiber[C]//Proceedings of the 10th International Conference on Sensing Technology,Nanjing, China, November 11–13, 2016.

2. Shao Yujiao,Yu Yuan, Zhang Yin, Wei Shaowen, Li Xuefeng. Analysis of Acoustic EmissionSignal Characteristics Based on the Crack Pattern of Stress CorrosionCracking[C]// Proceedings of the 10th International Conference on SensingTechnology, Nanjing, China, November 11–13, 2016.

3. Wei Shaowen,Zhang Yin, Li Xuefeng. High-Visibility Multifunctional Sensor Based onMultiple-Resonant Cavity of Photonic Crystal[C]// Proceedings of the 2016 IEEEInformation Technology, Networking, Electronic and Automation ControlConference, Chongqing, China, May 22–23, 2016.

 

2015年前

一、期刊论文

1. Li Xuefeng*,Liang Jinxing, Ueda Toshitsugu. Applied Technique of Focused Ion Beam MillingBased on Microstructure of Photonic Bandgap Fiber[J]. International Journal ofAdvanced Manufacturing Technology, 2013, 68(1–4): 465–471.

2. Li Xuefeng*,Liang Jinxing, Lin Shuo, Zimin Yury, Zhang Yupeng, Ueda Toshitsugu. NIRSpectrum Analysis of Natural Gas Based on Hollow-Core Photonic BandgapFiber[J]. IEEE Sensors Journal, 2012, 12(7): 2362–2367.

3. Li Xuefeng*,Lin Shuo, Liang Jinxing, Oigawa Hiroshi, Ueda Toshitsugu. High-SensitivityFiber-Optic Fabry–Perot Interferometer Temperature Sensor[J]. Japanese Journalof Applied Physics, 2012, 51(6): 06FL10.

4. Li Xuefeng*,Lin Shuo, Liang Jinxing, Oigawa Hiroshi, Ueda Toshitsugu. Fiber-OpticTemperature Sensor Based on Difference of Thermal Expansion Coefficient BetweenFused Silica and Metallic Materials[J]. IEEE Photonics Journal, 2012, 4(1):155–162.

5. Li Xuefeng*,Liang Jinxing, Zimin Yury, Zhang Yupeng, Lin Shuo, Ueda Toshitsugu. U-BandWavelength References Based on Photonic Bandgap Fiber Technology[J]. Journal ofLightwave Technology, 2011, 29(19): 2934–2939.

6. Li Xuefeng*,Liang Jinxing, Ueda Toshitsugu. Doubled Optical Path Length for PhotonicBandgap Fiber Gas Cell Using Micromirror[J]. Japanese Journal of AppliedPhysics, 2011, 50(6): 06GM01.

7. Li Xuefeng*,Pawlat Joanna, Liang Jinxing, Ueda Toshitsugu. Measurement of Low GasConcentrations Using Photonic Bandgap Fiber Cell[J]. IEEE Sensors Journal,2010, 10(6): 1156–1161.

8. Li Xuefeng*,Pawlat Joanna, Liang Jinxing, Xu Guan, Ueda Toshitsugu. Fabrication of PhotonicBandgap Fiber Gas Cell Using Focused Ion Beam Cutting[J]. Japanese Journal ofApplied Physics, 2009, 48(6): 06FK05.