IntroductionYi Li, now a postdoctoral fellow at BUCT, graduated from Harbin Institute of Technology in 2010 with a bachelor's degree in engineering. She studied abroad and received a master's degree from The Ohio State University in 2012. In August 2016, she graduated from Hanyang University in South Korea with a Ph.D. degree. In 2019, she entered the postdoctoral workstation of Zhejiang University and cooperated with Professor Yang Shiyou to carry out postdoctoral research. In recent years, she has been mainly engaged in the fault analysis and detection of power equipment based on artificial intelligence, visual detection and recognition in power grid scenarios, power electronic circuit topology innovation, digital control PFC design, switching power supply system design and control, etc., and has published more than 20 academic papers, including more than 10 SCI papers. EducationWork ExperienceSocial PositionSocial ActivitiesResearchResearch Area:Power Electronics、Power Systems、Fault Detection、Object Detection in Industry、Interdisciplinary Research combined Energy with Remote Sensing TeachingØ Analog electronics Ø Digital electronics Ø Electronics Ø Automatic control principle Ø Fundamentals of Programming circuits, etcPostgraduatesFunding1. State Key Laboratory of Complex System Management and Control, Research on Microgrid Power Prediction and Dispatching Strategy Based on Parallel CPSS Structure, 2019/1-2021/06, completed, PI; This project mainly explores the extension of parallel system theory to the research field of microgrid power prediction and dispatching strategy, and combines machine learning artificial intelligence algorithms (such as neural network prediction and reinforcement learning decision-making) to construct a microgrid virtual artificial system at multiple levels and nodes. 2. Zhejiang Sanbian Technology Co., Ltd. Transversal Project: Simulation Analysis of Dynamic Stability Capability of Transformer Winding in Short Circuit State, 2018/7-2021/07, completed, Principal Investigator; The project cooperated with Zhejiang Sanbian Technology, a listed company, to carry out research on the influence of electromagnetic short-circuit force on the coil of 110KV main transformer in the short-circuit state, and constructed a set of three-dimensional finite element simulation model of the transformer. On the basis of the conventional static force calculation, the calculation of dynamic electrodynamic forces and the influence of cumulative effects are further considered. 3. Jiangsu Zhongpu Technology Co., Ltd. Horizontal Project: Medical EMG and EEG Signal Acquisition Processor Technology, 2022/7-2023/07, completed, host; In view of the myography and EEG signal acquisition and processing fields required for biofeedback diagnosis and treatment in current medical equipment, the signal acquisition technology suitable for weak signal acquisition and the intelligent processing (diagnosis) technology for signals are designed to realize an intelligent EMG and EEG medical system with biofeedback function, diagnosis and treatment functions. 4. Guangdong Provincial Key R&D Project, New Generation Intelligent Connected Vehicle Vision and Environmental Perception Processing System, 2018/7-2021/07, completed, participant; Visual perception technology is the eye of intelligent networked vehicles, and this project intends to improve the real-time perception of networked vehicles, lane conditions, traffic signals, human-environment interaction and other issues, and provide support for safe and reliable autonomous driving. 5. National Natural Science Foundation of China, Research on Emotion Recognition Technology Based on Deep Learning and Multimodal Fusion Method, No. 62066025, 2021/1-2024/12, under research, participant; With the help of deep learning technology, convolutional neural network (CNN) and long short-term memory network (LSTM) models were used to extract and model emotional features for image, speech and text data, respectively. At the same time, through the multi-modal fusion method, the modal information is organically combined to achieve more comprehensive emotion recognition. The end-to-end training of deep learning models and the introduction of attention mechanism enable the system to automatically learn the association between features and improve the accuracy of emotion recognition. This comprehensive approach not only considers the heterogeneity of multi-source data, but also fully excavates the potential connections between data, which provides innovative solutions for the development of emotion recognition technology. 6. National Natural Science Foundation of China, Research on the Coordinated Control Mechanism of Switched Reluctance Wind Energy Capture Network, No. 51967013, 2020/1-2023/12, under research, participant; In recent years, with the increasing energy problem, the use of renewable energy has become an inevitable development trend in the energy structure. Because of its advantages of simplicity, cleanliness and flexibility, wind energy can effectively meet the energy needs of today's society, and the wind power industry is booming in China. The project is mainly based on the application of switched reluctance generators in wind power generation, and carries out a comprehensive exploration of related control technologies, including detailed theoretical analysis and simulation research. 7. Jiangxi Provincial Department of Education, Exploration of Blended Teaching Mode of Analog Electronic Technology Based on Project-driven and Flipped Classroom, 2017/1-2018/06, completed, host; The project combines the two teaching modes of project-driven and flipped classroom and integrates them into the curriculum of analog electronic technology, and introduces the advanced grading system commonly used by the world's top universities. To study students' acceptance of the new blended teaching model and its impact on the assessment results of traditional test papers. Vertical ProjectHorizontal ProjectPublications[1] Yi Li, Shiyou Yang, and Yanfeng Lu, Dynamic Electromagnetic Force Analysis of a Power Transformer with Regulated Windings, IEEE Transactions on Applied Superconductivity, 2021, 31(8): 1-3. (SCI) [2] Yi Li, Yanfeng Lu, et.al,“Insulator defect detection for power grid based on light correction enhancement and YOLOv5 model”, Energy Reports, 2022，8(13):807-814. (SCI) [3] Yi Li, Joon-Hyeok Jeon, Hee-Jun Kim, A Novel Bridgeless Single-Stage Step-Up Rectifier Journal of Electrical Engineering Technology, vol.11, no.5, pp.1229-1234 , 2016.（SCI） [4] Yi Li, Jae-Woo Lim and Hee-Jun Kim, “A Low-Cost Digital PWM-Controlled LED Driver with PFC and Low Light Flicker”, Journal of Electrical Engineering Technology, vol., no., ISSN(Print) 1975-0102, Nov. 2015.(SCI) [5] Yi Li, Gyung-Seok Han and Hee-Jun Kim, Design of a Single-stage Single-switch PFC Circuit with a Small Output Current Ripple for an LED Lamp, Journal of the Korean Physical Society, Vol. 65, No. 2, pp. 239-242, July 2014.(SCI) [6] Yi Li, Gyung-Seok Han and Hee-Jun Kim, Analysis of the Twice-line-frequency Light Flicker of an LED Lamp Driven by a Single-stage PFC Circuit, Journal of the Korean Physical Society, Vol. 65, No. 2, pp. 234-238, July 2014.(SCI) [7] Yi Li, Zhongyuan Xiong, Jiangang Zhang, et. al, “A Comprehensive Software System for Power Insulator Based on UAV Intelligent Inspection in Complex Weather,” IEEE Transactions on Applied Superconductivity, 2024. (Under review) (SCI) [8] Yi Li, Shaoting Zhang, Chaodan Zheng, et. al, “A Novel Wireless Power Transmission System with Magnetically Integrated Compensation Network,” IEEE Transactions on Applied Superconductivity, 2024. (Under review) (SCI) [9] Yi Li, Zhongyuan Xiong, Jiangang Zhang, et. al, A Comprehensive Software System for Power Insulator Based on UAV Intelligent Inspection and Facing Complex Weather, 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China, October 27-29, 2023. (EI) [10] Yi Li, Shaoting Zhang, Chaodan Zheng, et. al, Research on Wireless Power Transmission System with Magnetically Integrated Compensation Network, 2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, China, October 27-29, 2023. (EI) [11] Yi Li, Shiyou Yang, and Yanfeng Lu, Dynamic Electromagnetic Force Analysis of a Power Transformer with Regulated Windings, 2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, Tianjin, 2020. (EI) [12] Yi Li, Mingyi Sun, Qingyu Zhao, Hongpu Zhang, Research of HVDC Circuit Breaker Based on Self-Excited Oscillation against Transient DC Line Fault in CIGRE HVDC System, 2018 International Conference on Power System Technology (POWERCON 2018), Guangzhou, 2018. (EI) [13] Yi Li, Xueming Chen, Ya liu, Hanning Tang, Qinglei Guo, Yanfeng Lu, Single-Stage PFC Converters for Electrolytic Capacitor-less LED Lamps 2017 International Electrical and Energy Conference, Beijing, 2017. (EI) [14] Yi Li, Hee-Jun Kim, Jeongin Cheon, Do-Hyung Lee, Design of single stage PFC converter for LED power supply with low output twice line frequency ripple, International Conference on Electrical Machines and Systems, Busan, Korea,2013, pp1788-1791.(EI) [15] Yanfeng Lu, Jingwen Gao, Yi Li, et.al, “A Cross-Scale and Illumination Invariance-Based Model for Robust Object Detection in Traffic Surveillance Scenarios,” IEEE Transactions on Intelligent Transportation Systems, 2023. 24(7): 6989-6999. (SCI) [16] Yanfeng Lu, Xu Yang, Hong Qiao, Yi Li, et.al, “A Novel Biologically-inspired Structural Model for Feature and Correspondence,” IEEE Transactions on Cognitive and Developmental Systems, 2023. 15(2): 844-854. (SCI) [17] Yanfeng Lu, Qian Yu, Yi Li, et.al, “Cross Stage Partial Connections based Weighted Bi-directional Feature Pyramid and Enhanced Spatial Transformation Network for Robust Object Detection,” Neurocomputing, 2022, 513: 70-82. (SCI) [18] Yanfeng Lu, Hong Qiao, Yi Li, Zongshuai Qi, Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment, International Journal of Wavelets, Multiresolution and Information Processing, 2019，Vol. 17, No.1 (SCI) [19] Yanfeng Lu, Hong Qiao, Yi Li, Lihao Jia, Image Recommendation based on a Novel Biologically Inspired Hierarchical Model, Multimedia Tools and Applications,2018. Vol. 77, No.4，pp.4323-4337.（SCI） [20] Tianyu He, Yi Li*, An Improved Method for Object Detection in Raining and Foggy Conditions for Self-driving Cars，Proceedings of SPIE - The International Society for Optical Engineering, Vol. 12329, 2022. (EI) [21] Wenyu Zhang, Yanfeng Lu, Yi Li, Hong Qiao,Convolutional Neural Networks on Apache Storm, Chinese Automation Congress, 2019.DOI:10.1109/CAC48633.2019.8996300. (EI) [22] Yanfeng Lu, Hong Qiao, Yi Li, Lihao Jia, AiXuan Zhang, A Novel Biologically Inspired Hierarchical Model for Image Recommendation, 14thInternational Symposium on Neural Networks, 2017.6.21-2017.6.26.(EI) [23] Yanfeng Lu, Aixuan Zhang, Yi Li, Qianhui Yu, Hong Qiao，Multi-Scale Scene Text Detection Based on Convolutional Neural Network，Chinese Automation Congress, 2019. DOI:10.1109/CAC48633.2019.8996635. (EI) [24] Zhiyuan Li, Yanfeng Lu, Yi Li and Hong Qiao, Ulixes: A Large Language Models Based Generative Agent for Vision-Language Navigation in Continuous Environments, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) (Under review).(EI) [25] Jinye Qu, Yanfeng Lu, Yi Li and Hong Qiao, Spike-based RGB-DVS Fusion Efficient Tracker, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) (Under review) .(EI) Awards1.Outstanding International Student Award from Hanyang University, South Korea 2.(11 southern provinces) 29th annual meeting of the Electrotechnical Theory Society excellent paper second prize Third Prize of the 5th National Experimental Teaching Case Design Competition for Basic Electrical and Electronic Courses 3.Second Prize of the 2nd University Electrical and Electronic Engineering Innovation Competition in Central China (Instructor) 4.In 2019, she was awarded the title of 500 Elite innovative talents in Taizhou City, Zhejiang Province 5.In 2019, her postdoctoral research projects in Zhejiang Province were funded on a merit-based basis 2022-2023 Academic Year Nanchang University Online Open Course Popularity AwardPatentHonor RewardAdmissions Information |