卿来云  女  博导  计算机科学与技术学院
电子邮件: lyqing@ucas.ac.cn
通信地址: 北京市海淀区中关村南一条3号
邮政编码: 100190

研究领域

机器学习,计算机视觉和计算图形

招生信息

   
招生专业
081203-计算机应用技术
招生方向
多媒体技术,模式识别,机器学习

教育背景

2000-09--2005-06   中科院研究生院   博士研究生
1996-09--1999-03   东北大学   硕士研究生
1992-09--1996-06   东北大学   本科生
学历
-- 研究生
学位
-- 博士

工作经历

   
工作简历
2005-07~现在, 中国科学院大学, 教师
1999-04~2000-08,广州金鹏集团有限公司, 软件工程师

教授课程

机器学习
多媒体数据压缩
机器学习案例分析
信源编码
文献阅读课
统计学习应用案例
统计学习基础
统计学习及应用
计算机网络导论

专利与奖励

   
奖励信息
(1) 中国公路学会科学技术奖, 国家级, 2009
专利成果
[1] 吴家琪, 万书宏, 刘新民, 胡秦, 吕静薇, 吕龙龙, 姜宁, 黄红, 卿来云, 庞俊彪. 实验鼠嗅探动作识别方法、模块及系统. CN: CN111178172A, 2020-05-19.
[2] 卿来云, 苗军, 帅佳玫, 黄庆明. 一种图像显著区域检测方法. 中国: CN104463870A, 2015-03-25.
[3] 卿来云, 苗军. 一种图像显著区域检测方法. 中国: CN102129694A, 2011-07-20.
[4] 苗 军, 卿来云, 段立娟, 陈熙霖, 高 文, 乔元华. 一种视觉目标上下文空间关系编码的系统和方法. 中国: CN101159043, 2008-04-09.

出版信息

   
发表论文
[1] 王俊, 苗军, 卿来云, 乔元华. 基于改进EAST的文本检测算法. 计算机科学与应用. 2021, 11(1): 167-175, http://lib.cqvip.com/Qikan/Article/Detail?id=HS724072021001018.
[2] Guo, Shuangshuang, Qing, Laiyun, Miao, Jun, Duan, Lijuan. Action prediction via deep residual feature learning and weighted loss. MULTIMEDIA TOOLS AND APPLICATIONS[J]. 2020, 79(7-8): 4713-4727, http://dx.doi.org/10.1007/s11042-019-7675-4.
[3] 苗军, 许少武, 卿来云, 乔元华, 邹柏贤. 一种图像形状的编码表达方法及其应用. 北京信息科技大学学报:自然科学版. 2020, 35(6): 1-7, http://lib.cqvip.com/Qikan/Article/Detail?id=7103712277.
[4] Duan, Lijuan, En, Qing, Qiao, Yuanhua, Cui, Song, Qing, Laiyun. Deep feature representation based on privileged knowledge transfer. PATTERN RECOGNITION LETTERS[J]. 2019, 119: 62-70, http://dx.doi.org/10.1016/j.patrec.2017.12.004.
[5] Zhang, Jiangong, Qing, Laiyun, Miao, Jun, IEEE. TEMPORAL CONVOLUTIONAL NETWORK WITH COMPLEMENTARY INNER BAG LOSS FOR WEAKLY SUPERVISED ANOMALY DETECTION. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2019, 4030-4034, [6] Liang, Fangfang, Duan, Lijuan, Ma, Wei, Qiao, Yuanhua, Cai, Zhi, Qing, Laiyun. Stereoscopic saliency model using contrast and depth-guided-background prior. NEUROCOMPUTING[J]. 2018, 275: 2227-2238, http://dx.doi.org/10.1016/j.neucom.2017.10.052.
[7] Wang Qing, Qing Laiyun, Miao Jun, Duan Lijuan, Zeng B, Huang Q, ElSaddik A, Li H, Jiang S, Fan X. Temporal Interval Regression Network for Video Action Detection. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT Inull. 2018, 10735: 258-268, [8] Xu Shaowu, Miao Jun, Qing Laiyun, Qiao Yuanhua, Zou Baixian, Su R. Image Classification with a New Kind of Shape Representation. 2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCEnull. 2018, 10836: [9] Guo, Shuangshuang, Qing, Laiyun, Miao, Jun, Duan, Lijuan, IEEE. Deep Residual Feature Learning for Action Prediction. 2018 IEEE FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM)null. 2018, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000630423400081.
[10] Pang, Junbiao, Huang, Jing, Qin, Lei, Zhang, Weigang, Qing, Laiyun, Huang, Qingming, Yin, Baocai. Rotative maximal pattern: A local coloring descriptor for object classification and recognition. INFORMATION SCIENCES[J]. 2017, 405: 190-206, http://dx.doi.org/10.1016/j.ins.2017.04.011.
[11] 李建军, 卿来云. 国家自然科学基金委员会“十三五”期间信息化建设展望. 中国科学基金[J]. 2017, 31(2): 170-175, [12] Shan, Dingyi, Qing, Laiyun, Miao, Jun, Lai, SH, Lepetit, V, Nishino, K, Sato, Y. Human Interaction Recognition by Mining Discriminative Patches on Key Frames. COMPUTER VISION - ACCV 2016, PT IInull. 2017, 10112: 352-367, [13] Pang, Junbiao, Zhang, Chunjie, Qin, Lei, Zhang, Weigang, Qing, Laiyun, Huang, Qingming, Yin, Baocai. Online dictionary learning for Local Coordinate Coding with Locality Coding Adaptors. NEUROCOMPUTING[J]. 2015, 157(157): 61-69, http://dx.doi.org/10.1016/j.neucom.2015.01.035.
[14] Zhu, Wentao, Miao, Jun, Qing, Laiyun, Huang, GuangBin, IEEE. Hierarchical Extreme Learning Machine for Unsupervised Representation Learning. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2015, [15] Zhu, Wentao, Miao, Jun, Qing, Laiyun. Robust regression with extreme support vectors. PATTERN RECOGNITION LETTERS[J]. 2014, 45: 205-210, http://dx.doi.org/10.1016/j.patrec.2014.04.016.
[16] Zhu, Wentao, Miao, Jun L, Hu, Jiangbi, Qing, Laiyun. Vehicle detection in driving simulation using extreme learning machine. NEUROCOMPUTING[J]. 2014, 128: 160-165, http://dx.doi.org/10.1016/j.neucom.2013.05.052.
[17] Zhu Wentao, Miao Jun, Qing Laiyun, IEEE. Constrained Extreme Learning Machine: a Novel Highly Discriminative Random Feedforward Neural Network. PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2014, 800-807, [18] 马志国, 苗军, 卿来云, 陈熙霖. 基于局部随机游走的超像素分割方法. 高技术通讯[J]. 2014, 991-998, http://lib.cqvip.com/Qikan/Article/Detail?id=663515919.
[19] Yuan, Shanxin, Miao, Jun, Qing, Laiyun, IEEE. ROBUST MULTI-PATCH TRACKING. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)null. 2013, 3108-3112, [20] Shuai, Jiamei, Qing, Laiyun, Miao, Jun, Ma, Zhiguo, Chen, Xilin, IEEE. SALIENT REGION DETECTION VIA TEXTURE-SUPPRESSED BACKGROUND CONTRAST. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)null. 2013, 2470-2474, [21] Duan, Lijuan, Wu, Chunpeng, Miao, Jun, Qing, Laiyun, Fu, Yu, IEEE. Visual Saliency Detection by Spatially Weighted Dissimilarity. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2011, 473-480, [22] Chi Chen, Qing Laiyun, Miao Jun, Chen Xilin, Koch R, Huang F. Evaluation of the Impetuses of Scan Path in Real Scene Searching. COMPUTER VISION - ACCV 2010 WORKSHOPS, PT Inull. 2011, 6468: 450-459, [23] Miao Jun, Duan Lijuan, Qing Laiyun, Qiao Yuanhua, IEEE. An Improved Neural Architecture for Gaze Movement Control in Target Searching. 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2011, 2341-2348, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000297541202070.
[24] Duan Lijuan, Wu Chunpeng, Qiao Haitao, Gu Jili, Miao Jun, Qing Laiyun, Yang Zhen, Lu BL, Zhang LQ, Kwok J. Bio-inspired Visual Saliency Detection and Its Application on Image Retargeting. NEURAL INFORMATION PROCESSING, PT Inull. 2011, 7062: 182-+, [25] Miao, Jun, Qing, Laiyun, Zou, Baixian, Duan, Lijuan, Gao, Wen. Top-Down Gaze Movement Control in Target Search Using Population Cell Coding of Visual Context. IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT[J]. 2010, 2(3): 196-215, http://www.corc.org.cn/handle/1471x/2406608.
[26] Han Hu, Shan Shiguang, Qing Laiyun, Chen Xilin, Gao Wen, Daniilidis K, Maragos P, Paragios N. Lighting Aware Preprocessing for Face Recognition across Varying Illumination. COMPUTER VISION-ECCV 2010, PT IInull. 2010, 6312: 308-+, [27] Zhang, Wenchao, Shan, Shiguang, Qing, Laiyun, Chen, Xilin, Gao, Wen. Are Gabor phases really useless for face recognition?. PATTERN ANALYSIS AND APPLICATIONS[J]. 2009, 12(3): 301-307, http://www.corc.org.cn/handle/1471x/2401007.
[28] Li Xiaojun, Wang Weiqiang, Huang Qingming, Gao Wen, Qing Laiyun, IEEE. A HYBRID TEXT SEGMENTATION APPROACH. ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3null. 2009, 510-+, [29] Miao, Jun, Qing, Laiyun, Duan, Lijuan, Zou, Baixian, IEEE. Single vs. Population Cell Coding: Gaze Movement Control in Target Search. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6null. 2009, 2896-+, [30] Miao, Jun, Duan, Lijuan, Qing, Laiyun, Gao, Wen, Chen, Xilin, Yuan, Yuan. Spatial relationship representation for visual object searching. NEUROCOMPUTING[J]. 2008, 71(10-12): 1813-1823, http://www.corc.org.cn/handle/1471x/2384721.
[31] Miao, Jun, Duan, Lijuan, Qing, Laiyun, Chen, Xilin, Gao, Wen, IEEE. Visual Context Representation using a Combination of Feature-driven and Object-driven Mechanisms. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8null. 2008, 3800-+, [32] Fang Fang, Ma Zhiguo, Qing Laiyun, Miao Jun, Chen Xilin, Gao Wen, IEEE. Face Reconstruction Using Fixation Positions and Foveated Imaging. 2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2null. 2008, 634-+, [33] Shan, Shiguang, Cao, Bo, Su, Yu, Qing, Laiyun, Chen, Xilin, Gao, Wen, IEEE. Unified Principal Component Analysis with Generalized Covariance Matrix for face recognition. 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12null. 2008, 265-+, [34] Ning Qianhui, Wang Weiqiang, Zhu Caifeng, Qing Laiyun, Huang Qingming, IEEE. A fast approach for natural image matting using structure information. 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5null. 2007, 1399-1402, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000252357703012.
[35] Qing, Laiyun, Shan, Shiguang, Chen, Xilin, Gao, Wen, Tang, YY, Wang, SP, Lorette, G, Yeung, DS, Yan, H. Face recognition under varying lighting based on the probabilistic model of Gabor phase. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGSnull. 2006, 1139-+, [36] 卿来云, 山世光, 陈熙霖, 高文. 基于球面谐波基图像的任意光照下的人脸识别. 计算机学报[J]. 2006, 29(5): 760-768, http://lib.cqvip.com/Qikan/Article/Detail?id=21884367.
[37] 卿来云. 人脸识别中的光照问题研究. 2005, 

科研活动

   
科研项目
( 1 ) 人体动作识别, 主持, 市地级, 2013-06--2015-05
( 2 ) 注意选择引导的人体运动分析和识别, 主持, 国家级, 2015-01--2018-12
( 3 ) 基于视觉注意的目标检测与隐含学习的动作识别方法研究协议, 参与, 国家级, 2015-01--2017-12
参与会议
(1)基于空间关系的动作识别   模式识别国际会议   Lingxun Meng, Laiyun Qing, Jun Miao, Xinlin Chen   2012-11-11
(2)Advertisement evaluation using visual saliency based on foveated image   Zhiguo Ma, Laiyun Qing, Jun Miao, Xilin Chen ...    2009-06-27
(3)Population Cell Coding: Gaze Movement Control in Target Search    Jun Miao, Laiyun Qing, Lijuan Duan, and Baixian Zou   2009-06-14

指导学生

已指导学生

杨涛  硕士研究生  081203-计算机应用技术  

池晨  硕士研究生  081203-计算机应用技术  

现指导学生

王崇秀  硕士研究生  081203-计算机应用技术  

孟令勋  硕士研究生  081203-计算机应用技术  

帅佳玫  硕士研究生  081203-计算机应用技术  

教学

   
机器学习
机器学习 2013 秋季 日程安排
 
教材[MLPP]:Kevin P. Murphy, Machine Learning: A Probabilistic Perspective 

辅助教材:
[PRML] Christopher M., Pattern Recognition and Machine Learning, Springer Press, 2006
[AOL] Wasserman L., All of Statistics: A Concise Course in Statistical Inference, Springer Press, 2005 中译版:张波、刘中华、魏秋萍和代金译,统计学完全教程,科学出版社,2008年
[ESL] Hastie T., Tibshirani R. Friedman J., The Elements of Statistical Learning - Data Mining, Inference and Prediction, Springer Press, 2010 中译版:范明,柴玉梅,昝红英译,统计学习基础—数据挖掘、推理与预测,电子工业出版社 

课次    日期      课程内容                               阅读材料
1         09/09    机器学习简介                      [MLPP] Chapter 1
2         09/11     概率复习                             [MLPP] Chapter 2 

09/16 暂停
09/18 暂停 

3          09/23     极大似然估计                    [MLPP] Chapter 6
4          09/25     贝叶斯统计                        [MLPP] Chapter 3,5 

5          09/30    多元高斯模型                     [MLPP] Chapter 4 
6          10/09     多元高斯模型
7          10/14    Fisher判别分析 

8         10/16   统计决策理论                        [MLPP] Chapter 6 

9         10/21    线性回归的MLE                   [MLPP] Chapter 7
10       10/23    线性回归的贝叶斯推断 

11       10/28    Logstic回归                          [MLPP] Chapter 8
12       10/30    Logstic回归2 

13       11/04    指数分布和广义线性模型   [MLPP] Chapter 9
14       11/06    SVM

15       11/11    模型评估与模型选择            [ESL] Chapter 7
16       11/13     稀疏线性模型                       [MLPP] Chapter 13
17       11/18    核方法                                    [MLPP] Chapter 14
18       11/20   集成机器学习                         [MLPP] Chapter 16

19        11/25   答疑 
20        11/27    期末考试