每年招收1-2名硕士研究生。

欢迎申请推免硕士，欢迎报考硕士研究生！（申请：“人工智能菁英班”）

欢迎报考人工智能学院 非全日制研究生！

邮箱：yanfeng.lv@ia.ac.cn

主要从事：类脑感认知、图像检测与识别、机器人多模态感知、机器人技能学习与发育等方面的研究。

具体研究工作：

1. 受脑启发的感知认知计算、类脑脉冲神经网络等研究；

2. 面向机器人、无人机的视觉检测、识别与跟踪算法研究和应用；

3. 基于强化学习、持续学习的机器人技能学习与发育研究；

要求：

计算机、自动化、软件、电子信息、通信、物联网、测控、数学等信息类相关专业；

有较强的学习能力和意愿；

有较强的编程和数学功底；

招生专业

081104--模式识别与智能系统（硕士生，中科院自动化所）

085400--电子信息（非全日制硕士，国科大人工智能学院）

类脑感认知、类脑智能机器人、机器人视觉、图像识别与检测、多模态感知、机器人自主导航等方面的研究。

2010-09--2015-07   韩国 高丽大学（国家公派）   博士
2006-09--2010-07   哈尔滨工业大学   学士

博士研究生学历

工学博士学位

   

2017-11~现在, 中国科学院自动化研究所, 副研究员
2015-09~2017-10,中国科学院自动化研究所, 助理研究员

2021-11-01-今,中国图象图形学会专业委员会, 委员
2020-09-01-今,工业与信息化部专家信息库, 成员
2019-10-31-今,中国自动化学会专业委员会, 委员
2017-12-30-今,北京市科技专家库, 成员
2017-01-01-今,国家自然科学基金, 评议专家
2016-06-30-今,中国自动化学会, 会员
2016-06-30-今,中国计算机学会, 会员
2015-01-01-今,IEEE Robotics and Automation Society, 会员

[1]Yanfeng Lu, Jingwen Gao, Qian Yu,  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.

[2]Yanfeng Lu, Xu Yang, Hong Qiao, et.al, “A Novel Biologically-inspired Structural Model for Feature and Correspondence,” IEEE Transactions on Cognitive and Developmental Systems, 2023. 15(2): 844-854.

[3]Yanfeng Lu, Qian Yu, 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.

[4]Yanfeng Lu, Huazhen Zhang, et.al, “Dominant Orientation Patch Matching for HMAX,” Neurocomputing, 2016. 193:155-166. 

[5]Yanfeng Lu, Weijie Zhao,“What will the robots be like in the future?” National Science Review, 2019. 6(5): 1059–1061. 

[6]Yanfeng Lu, Taekoo Kang, et.al. “Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions,” Computer Vision, IET, 2015, 9(5): 663-672.

[7]Yanfeng Lu, Hong Qiao, Lihao Jia, et.al, “Image Recommendation based on a Novel Biologically Inspired Hierarchical Model,” Multimedia Tools and Applications, 2018, 77 (4):4323-4337.

[8]Yanfeng Lu, Lihao Jia, Hong Qiao, et.al, “Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment,” International Journal on Wavelet, Multiresolution, and Information Processing,2019,17(2), 1940007.

[9]Yanfeng Lu, Myotaeg Lim, et.al. “Extended Biologically Inspired Model for Object Recognition Based on Oriented Gaussian-Hermite Moment,” Neurocomputing, 2014. 139(2): 189-201. 

[10]Yanfeng Lu, Hong Qiao, Yi Li, et.al, “A Novel Biologically Inspired Hierarchical Model for Image Recommendation,” 14th International Symposium on Neural Networks , Sapporo, Japan, 2017.

[11]Yanfeng Lu, Huazhen Zhang, Myotaeg Lim, et.al. “A Novel Patch Selection Method in Salient Regions of Object recognition,” 30th Korean Conference of Institute of Control, Robotics and Systems, Seoul, South Korea, 2015.4.22-4.25.

[12]Yanfeng Lu, Aixuan Zhang, Hong Qiao, et.al. “Multi-Scale Scene Text Detection Based on Convolutional Neural Network,” Chinese Automation Congress, 2019.

[13]Yanfeng Lu, Huazhen Zhang, Myotaeg Lim, et.al. Enhanced Hierarchical Model of Object Recognition Based on Saliency Map and Keypoint. Institute of Control, Robotics and Systems, 2015:53-54.

[14] Yi Li, Yanfeng Lu*, et.al. "Electromagnetic Force Analysis of a Power Transformer Under the Short-Circuit Condition," IEEE Transactions on Applied Superconductivity, 2021,31(8): 1-3.

[15]Yi Li, Yanfeng Lu*, et.al. Insulator defect detection for power grid based on light correction enhancement and YOLOv5 model, Energy Reports, 2022, 13(8): 807-814.

[16]Chao Ma, Yanfeng Lu*, “Distributed Nonsynchronous Event-triggered State Estimation of Genetic Regulatory Networks with Hidden Markovian Jumping Parameters”, Mathematical Biosciences and Engineering, 2022, 19(12): 13878-13910. 

[17]商迪，吕彦锋*，乔红，“受人脑中记忆机制启发的增量目标检测方法”，计算机科学，2023, 50 (2): 267-274. 

[18]Junpeng Wang,Yanfeng Lu*, et al. A novel CNN model for fine-grained classification with large spatial variants, International Conference on Intelligent Computing and Signal Processing, 2020.

[19]Huazhen Zhang,Yanfeng Lu, Taekoo Kang, et.al, “B-HMAX: A fast Binary Biologically Inspired Model for Object Recognition,” Neurocomputing. 2016. 218: 242-250.

[20]Wenyu Zhang,Yanfeng Lu*, et.al. “Convolutional Neural Networks on Apache Storm,” Chinese Automation Congress, 2019.

[21]Jiayi Chang,Yanfeng Lu*, et al. Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system，International Conference on Intelligent Unmanned Systems，2020. 

[22]Bochao Liu,Yanfeng Lu*, et al. Spiking Neuron Networks based Energy-Efficient Object Detection for Mobile Robot, Chinese Automation Congress, 2021.

[23]Yi Li,Yanfeng Lu*, Dynamic Electromagnetic Force Analysis of a Power Transformer with Regulated Windings, IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, 2020.

[24]Zidong Sun, Yanfeng Lu*, Underwater attached organisms intelligent detection based on an enhanced YOLO, IEEE International Conference on Electrical Engineering, Big Data and Algorithms, 2022, 1118-1122.

[25]Doyoung Lee,Yanfeng Lu, Myotaeg Lim, et.al. "3-D Vision Based Local Obstacle Avoidance Method for Humanoid Robot," 2012 International Conference on Controls Automation and Systems, Jeju，South Korea, 2012.10.20-10.23.

   

（ 1 ） 基于视皮层腹侧与背侧通路融合计算模型的动态场景下跟踪研究, 负责人, 国家任务, 2017-01--2019-12
（ 2 ） 基于数据学习的无人机************, 负责人, 国家任务, 2018-01--2020-12
（ 3 ） 基于类脑视觉模型的动态场景下车辆快速追踪研究, 负责人, 中国科学院计划, 2019-01--2020-12
（ 4 ） 无人机与有人机共融博弈的基础理论与关键技术研究, 参与, 国家任务, 2017-01--2020-12
（ 5 ） 面向机器人自主操作的人体上肢行为识别-模仿学习研究, 参与, 国家任务, 2018-01--2020-12
（ 6 ） 基于混合双目视觉的移动机器人环境主动感知, 参与, 国家任务, 2018-01--2020-12
（ 7 ） 基于类脑学习的非结构化环境感知方法, 参与, 国家任务, 2017-01--2019-06
（ 8 ） 重载卡车客车用液态模锻高强韧轻量化车轮智能制造新模式, 参与, 国家任务, 2017-05--2020-06
（ 9 ） 新一代智能网联汽车视觉和环境感知处理系统, 参与, 地方任务, 2018-07--2021-07
（ 10 ） 基于水下机器人的船体附着物视觉感知技术研究, 负责人, 国家任务, 2020-01--2021-12
（ 11 ） 移动机器人认知技术研究, 参与, 地方任务, 2016-01--2018-12
（ 12 ） 柔性物体检测和识别仿真软件系统开发, 负责人, 地方任务, 2017-05--2018-12
（ 13 ） 面向轮式机器人的多模态脉冲神经网络驱动下的目标识别, 负责人, 国家任务, 2020-11--2023-10
（ 14 ） 基于移动机器人的多目标视觉检测与追踪研究, 负责人, 地方任务, 2020-12--2021-12
（ 15 ） 基于受脑启发的小样本连续任务学习的轨道列车障碍物识别方法研究, 负责人, 地方任务, 2021-12--2024-12
（ 16 ） 序列红外图像检测跟踪技术开发项目, 负责人, 境内委托项目, 2023-01--2025-01

（1）Spiking Neuron Networks based Energy-Efficient Object Detection for Mobile Robot   2022-08-11
（2）Insulator Defect Detection for Power Grid Based on Light Correction Enhancement and YOLOv5 Model   2022-06-08
（3）A novel CNN model for fine-grained classification with large spatial variants   2020-04-21
（4）Human Motion Prediction based on Visual Tracking   2019-11-24
（5）Multi-Scale Scene Text Detection Based on Convolutional Neural Network   2019-11-22
（6）Convolutional Neural Networks on Apache Storm   2019-11-22
（7）A Novel Biologically Inspired Hierarchical Model for Image Recommendation   2017-07-22
（8）A fast Binary Biologically Inspired Model for Object Recognition   2015-04-25
（9）A Novel Patch Selection Method in Salient Regions of Object recognition   2015-04-22
（10）3-D Vision Based Local Obstacle Avoidance Method for Humanoid Robot   2012-10-20