姓  名：

侯亚丽

职  务：

职  称：

副教授

学  历：

研究生

学  位：

博士

通信地址：

九教南201

邮  编：

100044

办公电话：

电子邮箱：

ylhou@bjtu.edu.cn

• 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

• 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

• 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

[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 8^th 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.