教育背景
工作经历
研究方向
- 信号处理与电子系统
- 新一代电子信息技术
- 人工智能
- 信息处理与人工智能
- 通信工程
招生专业
- 电子科学与技术硕士
- 新一代电子信息技术(含量子技术等)硕士
- 电子科学与技术博士
- 人工智能硕士
- 信息与通信工程硕士
- 通信工程(含宽带网络、移动通信等)硕士
科研项目
北京市自然基金“面上”: 关于道路场景中目标检测及分割若干问题的研究, 2020-2022
基本科研业务费: 全时段行人与车辆检测及分割相关技术研究, 2018-2021
国家自然科学基金“面上”: 基于CNN的遮挡定位方法及其在目标检测与分割中的应用, 2018-2021
基本科研业务费: 基于图像的交通标志检测中若干问题的研究, 2015-2018
博士点基金: 关于多光谱在人体检测中应用的研究, 2014-2016
国家自然科学基金"青年基金": 基于多光谱成像的人体头肩检测系统研究, 2014-2016
基本科研业务费人才基金: 基于多特征综合的人群分割研究, 2012-2013
2. 参加
北京交通大学: 基于SE3的深度学习应用开发, 2019-2020
红果园国家级"四总部": 基于天基光学与陆基雷达的空天目标联合识别技术, 2019-2021
国家重点研发计划-课题: 异构交通主体群体智能协同行为仿真分析与评估, 2019-2021
国家自然科学基金“面上”: 基于ABVS图像的乳腺病变检出与分类及参数测量, 2019-2022
北京交通大学: 车载视觉系统技术研发_北京市科委配套经费_尾款, 2018-2020
红果园国家级"四总部": 太赫兹/激光/量子探测仿真方法, 2017-2021
基本科研业务费: 智能车辆驾驶关键技术研究, 2017-2019
北京交通大学: 车载视觉系统技术研发(北京市科技计划配套经费), 2017-2018
北京市科委: 车载视觉系统技术研发, 2016-2018
国家自然科学基金“面上”: 基于乳腺X线图像处理的乳腺癌检测方法研究, 2013-2016
教学工作
- 14L181Q :信号与系统:2013年秋, 2015年秋,2016年秋,2017年秋, 2018年秋,2019年秋,2020年秋
- M501116B: 机器视觉 : 2019年春,2020年春,2021年春
- 10L980Q: 信号与信息处理综合专题 :2019年夏,2020年夏
- 14S165Q:DSP系统课程设计 : 2018年春
论文/期刊
[1] Y. Hou, Y. Song, X. Hao, Y. Shen, M. Qian, and H. Chen, "Multispectral Pedestrian Detection Based on Deep Convolutional Neural Networks," Infrared Physics & Technology, 2018, 94:69-77.
[2] Y. Hou, G. K. H. Pang and X. Hao, "Crowd Segmentation Using both Appearance and Stereo Information," Journal of Signal Processing Systems, vol. 90, pp. 421-432, 2018.
[3] Y.-L. Hou*, X. Hao and H.J. Chen, "A Cognitively Motivated Method for Classification of Occluded Traffic Signs," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(2): 255 - 262.
[4]申艳,刘静,娄淑琴,侯亚丽,陈后金.Evaluating optical properties of real photonic crystal fibers with.Infrared Physics & Technology,2017,2017(85)
[5]申艳,刘青,娄淑琴,侯亚丽.Wavelet-Based Total Variation and Nonlocal Similarity Model for Image Denoising.IEEE SIGNAL PROCESSING LETTERS,2017,6(24)
[6]侯亚丽.Multicue-Based Crowd Segmentation Using Appearance and Motion.IEEE Transactions on Systems, Man, and Cybernetics: Systems,2013,43(2)
[7]侯亚丽,郝晓莉,王悦扬,郭长青.Multispectral face liveness detection method based on gradient features.Optical Engineering,2013,11(52)
[8] Y.-L. Hou and G. K. H. Pang, “People Counting and Human Detection in a Challenging Situation”. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, Vol. 41, No. 1, pp. 24-33, 2011.
2. 会议论文:
[1]申艳,张辽,王忠立,郝晓莉,侯亚丽.Multi-Level Residual Up-Projection Activation Network for Image SuperResolution.2019 IEEE International Conference on Image Processing (ICIP),2019
[2]邵小桃,危财克,申艳,王彩云,郝晓莉,侯亚丽,王新民.ARTIFACTS SUPPRESSION OF PASSIVE MILLIMETER-WAVE SAIR IMAGING.IEEE International Geoscience and Remote Sensing Symposium 2019,2019
[3]Q. Fu, Y. Hou, X. Hao, Y. Shen, and L. Zhang, "On-Road Vehicle Detection under Varying Lighting Conditions," in IEEE International Conference on Information and Automation, Wuyi Mountain, China, 2018.
[4]Y. L. Hou, J. Peng, X. Hao, Y. Shen, and M. Y. Qian, "Occlusion localization based on convolutional neural networks," in IEEE International Conference on Signal Processing, Communications and Computing, 2017.
[5]Y. Hou, Y. Song, X. Hao, Y. Shen, and M. Qian, " Multispectral Pedestrian Detection Based on Deep Convolutional Neural Networks," in IEEE International Conference on Signal Processing, Communications and Computing, 2017.
[6] Y. Wang, X. Hao, Y. Hou, and C. Guo, "A New Multispectral Method for Face Liveness Detection," in Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on, 2013, pp. 922-926.
[7] Y.-L. Hou and G. Pang, "Crowd segmentation based on fusion of appearance and motion features," in 3rd Chinese Conference on Intelligent Visual Surveillance, Beijing, 2011.
[8] Y.-L. Hou and G. Pang, "Multi-cue-based crowd segmentation in stereo vision," Lecture Notes in Computer Science 6854, Springer Berlin / Heidelberg, 2011, pp. 93-101.
[9] Y.-L. Hou and G. K. H. Pang, "Multi-cue-based Crowd Segmentation," in 8th International Conferences on Informatics in Control, Automation and Robotics, Noordwijkerhout, The Netherlands, 2011.
[10] Y.-L. Hou and G. K. H. Pang, "Human detection in crowded scenes," in 17th IEEE International Conference on Image Processing (ICIP), 2010, pp. 721-724.
[11] Y.-L. Hou and G. K. H. Pang, "Human detection in a challenging situation," in 16th IEEE International Conference on Image Processing (ICIP), 2009, pp. 2561-2564.
[12] Y.-L. Hou and G. K. H. Pang, "Automated people counting at a mass site," in IEEE International Conference on Automation and Logistics, 2008, pp. 464-469.