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Prof. Dr. Cong,Yang

Robot Vision Group
State Key Laboratory
 of Robotics

Shenyang Institute
of Automation

Chinese Academy
 of Sciences

Nanta Street 114
110016 Shenyang
P. R. China

Tel: +86 24 23970491
Fax: +86 24 23970021
Email: congyang@sia.cn
Office: R402

Prof. Dr.Yang Cong

[Yang Cong's Homepage on Sina App...]

Research interests£º

Video/image analysis and surveillance, machine learning, robot vision


Brief Bio.

Dr.Yang Cong received his Bachelor degree in Automation from Northeastern University, China, in 2000. He completed Foundation Course of Graduate at the Unversity of Science and Technology of China in 2005, and then in 2009, received his Doctor degree in Pattern Recognition and Machine Intelligent from Shenyang Institute of Automation,Chinese Academy of Science. From July 2009 till May 2011, he was a postdoctoral research fellow at the Social Robot Lab, National University of Singapore. In June 2011,he joined State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science (CAS). During 2014, as a visiting scholar he worked in the Department of Computer Science, University of Rochester. Currently he is a professor in Shenyang Institute of Automation, Chinese Academy of Sciences. IEEE senior member. He is the winner of 2017 National Natural Science Foundation of China - Excellent Youth Fund.



1) Gan Sun, Yang Cong, et al., "Active Lifelong Learning with ¡°Watchdog¡±¡±, AAAI 2018 (accepted)

2) Gan Sun, Yang Cong, et al., "Joint Household Characteristic Prediction via Smart Meter Data", IEEE Transactions on Smart Grid (accepted)

3) Yang Cong, Gan Sun, Ji Liu, Haibin Yu, Jiebo Luo,"User attribute discovery with missing labels", Pattern Recognition (online published)

4) Yang Cong, Ji Liu, Baojie Fan, Peng Zeng, Haibin Yu, Jiebo Luo, "Online Similarity Learning for Big Data with Overfitting", IEEE Transactions on Big Data (online published)

5) Shuai Wang, Yang Cong, Huijie Fan, et al., "Multi-class Latent Concept Pooling for Computer-Aided Endoscopy Diagnosis", ACM Transactions on Multimedia Computing, Communications, and Applications (accepted)

6) Yang Cong, Ji Liu, Gan Sun, et al., "Adaptive Greedy Dictionary Selection for Web Media Summarization", IEEE Transactions on Image Processing, VOL. 26, NO. 1, 2017

7) Shuai Wang , Yang Cong*, Huijie Fan, L. Liu , X. Li, S. Yang, Yandong Tang , Huaici Zhao ,Haibin Yu, "Computer-Aided Endoscopic Diagnosis Without Human Specific Labeling", IEEE Transactions on Bio-medical Engineering, 63(11):2347-2358, 2016

8)Yang Cong, Shuai Wang,et al., "UDSFS: Unsupervised deep sparse feature selection", Neurocomputing,Volume 196, 5 July 2016, Pages 150¨C158

9)Shuai Wang, Yang Cong*, Jun Cao, Yandong Tang, Huaici Zhao,"Scalable gastroscopic video summarization via similar-inhibition dictionary selection", Artificial Intelligence in Medicine, 66 (2016) 1¨C13

10) Yang Cong, Haifeng Gong, Yandong Tang,et al., "Real-time One-dimensional Motion Estimation and its Application in Computer Vision", Machine Vision and Applications, Vol.26, Number 5, 2015

11) Yang Cong, Shuai Wang, Ji Liu, Jun Cao, Jiebo Luo, Deep Sparse Feature Selection for Computer Aided Endoscopy Diagnosis, Pattern Recognition, Volume 48, Issue 3, 2015

12) Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo, "Low-Rank Online Metric Learning", in Yun Fu, Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014 £¨Book Chapter)

13) Yang Cong,et al., "Speeded up Low Rank Online Metric Learning for Object Tracking," IEEE Transactions on Circuits and Systems for Video Technology, Vol.25,NO.6, JUNE, 2015.

14) Yang Cong, et al. "Video Anomaly Search in Crowded Scenes via Spatio-Temporal Motion Context", IEEE Transactions on Information Forensics & Security, VOL. 8, NO. 10, OCTOBER 2013

15) Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo, "Self-supervised online metric learning with low rank constraint for scene categorization", IEEE Transactions  On Image Processing, VOL. 22, NO. 8, AUGUST 2013 , pp. 3179-3191.

16) Yang Cong and et al.; ¡°Abnormal Event Detection in Crowded Scenes using Sparse
Representation¡±, Pattern Recognition,Vol. 46, pp. 1851-1864, 2013

17) Yang Cong, Junsong Yuan, Yandong Tang;"Object Tracking via Online Metric Learning", IEEE International Conference on Image Processing (ICIP) 2012
18)Yang Cong, Junsong Yuan, Jiebo Luo: Towards Scalable Summarization of Consumer Videos via Sparse Dictionary Selection. IEEE Transactions on Multimedia 14(1): 66-75 (2012)
19) Yang Cong, Junsong Yuan, Ji Liu: Sparse reconstruction cost for abnormal event detection. IEEE International Conference on Computer Vision and Pattern Recognition(CVPR).   2011: 3449-3456

20) Yang Cong, Haifeng Gong, Songchun Zhu, Yandong Tang, "Flow Mosaicking: Real-time Pedestrian Counting without Scenespecic Learning", IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2009:1093-1100
21)Yang Cong, Junjian Peng, Yandong Tang,"UGV Obstacle Detection Based On Vision In Rough Outdoor Terrain," ACTA AUTOMATICA SINICA£¬Vol.36,No.5,2010
22) Huijie Fan,Yang Cong,Yandong Tang,"Object detection based on scale-invariant partial shape matching", Machine Vision and Applications,Vol.26, No.6,2015.

23) Baojie Fan,Yang Cong,Yingkui Du,"Discriminative MultiTask Object Tracking with Active Feature Selection and Drift Correction",Pattern Recognition, 47(12),3828¨C3840,2014

24) Huijie Fan, Yang Cong, Yandong Tang;"SELF-CLOSED PARTIAL SHAPE DESCRIPTOR FOR SHAPE RETRIEVAL", IEEE International Conference on Image Processing (ICIP) 2012

25) Ji Liu, Yang Cong, Yuechao Wang, Yandong Tang, "Lunar Terrain Reconstruction Based on PDEs Method", IEEE International Conference on Image Processing (ICIP), pp1504-1507. San Diego, America, Oct, 2008

26) Baojie Fan, Yingkui Du, Yang Cong, "Robust and accurate online pose estimation algorithm via efficient three-dimensional collinearity model", IET Computer Vision, 7(5),2013.

27)Huang J P, Cong Y, Gao H W, et al. Online semantic condense video in robotic scene via dictional selection (in Chinese). Chin Sci Bull (Chin.Ver.), 2013, 58(Suppl.II): 112¨C120, doi: 10.1360/972013-951

R&D Projects:

1£©Computer Vision Perception and online learning

2018.01-2020.12, PI
Project Funding: National Natural Science Foundation of China--Excellent Youth Foundation 

2)The basic research on 3D Perception and guidance of computer vision for industrial robots

2017.01-2020.12, PI
Project Funding: National Natural Science Foundation of China

3) Online Learning for Robot Scene Understanding

2014.01-2017.12, PI
Project Funding: National Natural Science Foundation of China

Unified Abnormal Event Detection via Sparse Representation and Dictionary Selection

2012.01 -2014.12£¬ PI
Project Funding: National Natural Science Foundation of China

5)The Gastroscope automatic robot operation and assisted diagnostic system

Co-PI, responsible for development of computer assited diagnosis.
Project Funding: The Ministry of Science and Technology of P.R. China

6) Vedio based fault detection system of High Voltage Transmission Lines

2011.01-2013.12, Co-PI

Project Funding: State Grid Corporation of China