Yan Tong

 

Associate Professor

Department of Computer Science and Engineering

University of South Carolina

315 Main St.
Columbia, SC 29208

 

Office: 3A52 Swearingen
Email:
tongy@cec.sc.edu
Phone:
803-777-0801
Fax:
803-777-3767

 

Short Bio

Dr. Tong received her Ph.D. degree in Electrical Engineering from Rensselaer Polytechnic Institute, Troy, New York. She is currently an associate professor in the Department of Computer Science and Engineering at the University of South Carolina. Before joining USC, she has been working in Visualization and Computer Vision Lab of GE Global Research Center since January 2008.

Research Interests

Dr. Tong’s general research interests are on computer vision, pattern recognition, and human computer interaction, especially in

·       Affective computing (facial activity analysis and eye gaze tracking)

·       Statistical shape modeling and their applications in face image interpretation and medical image analysis

·       Probabilistic graphical models and their applications in computer vision including modeling, reasoning, information fusion, and learning under uncertainty

Selected Services and Activities

Selected Publications (Complete List)

Journal Publications

1.     Tamanna Alam, Ahmed Shehab Khan, Wenming Li, Fanghao Yang, Yan Tong, Jamil Khan, and Chen Li, "Transient force analysis and bubble dynamics during flow boiling in silicon nanowire microchannels," International Journal of Heat and Mass Transfer, V. 101, pp. 937-947, October 2016.

  1. Zibo Meng, Shizhong Han, Min Chen, and Yan Tong, “Audiovisual Facial Action Unit Recognition using Feature Level Fusion,” International Journal of Multimedia Data Engineering and Management, Vol. 7, No. 1, pp. 60-76, August, 2016.
  2. Yuewei Lin, Yan Tong, Yu Cao, Youjie Zhou, and Song Wang, “Detecting Infrequently Moving Foreground from Background with Frequent Local Motions: A Background Subtraction based Approach,” accepted by IEEE Transaction on Circuits and Systems for Video Technology, online available.
  3. Jonathan Kenneth Bunn, Shizhong Han, Yan Tong, Yan Zhang, Jianjun Hu, and Jason Ryan Hattrick-Simpers, “Generalized Machine Learning Algorithm for Automatic Phase Attribution in High-throughput Experimental Studies,” Journal of Materials Research, Vol. 30, No. 7, pp. 879 – 889, April, 2015.
  4. Yan Tong, Xiaoming Liu, Frederick W. Wheeler, and Peter Tu, “Semi-supervised Facial Landmark Annotation,” Computer Vision and Image Understanding (CVIU), Vol. 116, No. 8, pp. 922-935, August, 2012.
  5. Yan Tong, Jixu Chen, and Qiang Ji, “A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 32, No. 2, pp. 258-273, February 2010.
  6. Cassio P. de Campos, Lei Zhang, Yan Tong, and Qiang Ji, “Semi-Qualitative Probabilistic Networks in Computer Vision Problems,” Journal of Statistical Theory and Practice (special Issue on “Imprecision”), Vol. 3, No. 1, pp. 197-210, 2009.
  7. Yan Tong, Yang Wang, Zhiwei Zhu, and Qiang Ji, “Robust Facial Feature Tracking under Varying Face Pose and Facial Expression,” Pattern Recognition, Vol. 40, No. 11, pp. 3195-3208, November 2007.
  8. Yan Tong, Wenhui Liao, and Qiang Ji, “Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 29, No. 10, pp. 1683-1699, October 2007.

 

Selected Conference Papers

1.     Shizhong Han, Zibo Meng, Ahmed Shehab Khan, and Yan Tong, “Boosted Convolutional Networks for Facial Activity Analysis,” accepted by the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016).

  1. Tamanna Alam, Wenming Li, Fanghao Yang, Ahmed Shehab Khan, Yan Tong, Jamil Khan, Jing Li, Zuankai Wang, and Chen Li, “Force Analysis of Bubble Dynamics in Flow Boiling Silicon Nanowire Microchannels,” Micro/Nanoscale Heat & Mass Transfer International Conference, Biopolis, Singapore, January, 2016.
  2. Zibo Meng, Shizhong Han, Min Chen, and Yan Tong, “Feature Level Fusion for Bimodal Facial Action Unit Recognition,” IEEE International Symposium on Multimedia (ISM 2015), Miami, December, 2015.
  3. Shizhong Han, Zibo Meng, Ping Liu, and Yan Tong, “Facial Grid Transformation: A Novel Face Registration Approach for Improving Facial Action Unit Recognition,” IEEE International Conference on Image Processing (ICIP14), Paris, October, 2014.
  4. Ping Liu, Joey Tianyi Zhou, Ivor Tsang, Zibo Meng, Shizhong Han, and Yan Tong, “Feature Disentangling Machine-A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis,” European Conference on Computer Vision (ECCV14), Zurich, September, 2014.
  5. Ping Liu, Shizhong Han, Zibo Meng, and Yan Tong, Facial Expression Recognition via a Boosted Deep Belief Network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR14), Columbus, June, 2014. (Acceptance rate 29.88%) 
  6. Sanjeev Singh, Rufeng Meng, Srihari Nelakuditi, Yan Tong, and Song Wang, SideEye: Mobile Assistant for Blind Spot Monitoring,” International Conference on Computing, Networking and Communications (ICNC2014), Honolulu, February, 2014.
  7. Ping Liu, Shizhong Han, and Yan Tong, “Improving Facial Expression Analysis using Histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure,” the 10th IEEE Conference on Automatic Face and Gesture Recognition (FG2013), Shanghai, April, 2013.
  8. Xiaoming Liu, Yan Tong, Frederick Wheeler, and Peter Tu, “Facial Contour Labeling via Congealing,” European Conference on Computer Vision (ECCV10), Crete, Greece, September, 2010. (Acceptance rate 27%) 
  9. Xiaoming Liu, Yan Tong, Frederick W. Wheeler, and Peter Tu, “Simultaneous Clustering and Alignment for an Image Ensemble,” the twelfth IEEE International Conference on Computer Vision (ICCV09), Kyoto, September, 2009. (Acceptance rate 20%)
  10. Yan Tong, Xiaoming Liu, Frederick W. Wheeler, and Peter Tu, “Automatic Facial Landmark Labeling with Minimal Supervision,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR09), Miami, June, 2009. (Acceptance rate 26.2%)
  11. Necmiye Ozay, Yan Tong, Frederick W. Wheeler, and Xiaoming Liu, “Improving Face Recognition with a Quality-based Probabilistic Framework,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR09) Workshop on Biometrics, Miami, June, 2009. (Best Paper Honorable Mention Award)
  12. Yan Tong and Qiang Ji, “Learning Bayesian Networks with Qualitative Constraints,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR08), Anchorage, June, 2008. (Acceptance rate 32%)
  13. Cassio de Campos, Yan Tong, and Qiang Ji, “Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition,” European Conference on Computer Vision (ECCV08), Marseille, France, October, 2008. (Acceptance rate 28%)
  14. Lei Zhang, Yan Tong, and Qiang Ji, “Active Image Labeling and Its Application to Facial Action Labeling,” European Conference on Computer Vision (ECCV08), Marseille, France, October, 2008. (Acceptance rate 28%)
  15. Jixu Chen, Yan Tong, Wayne Gray, and Qiang Ji, Eye tracking, “A Robust 3D Eye Gaze Tracking System using Noise Reduction,” Eye Tracking Research & Applications Symposium, 2008.
  16. Yan Tong, Wenhui Liao, Zheng Xue, and Qiang Ji, “A Unified Probabilistic Framework for Facial Activity Modeling and Understanding,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR07), Minneapolis, June, 2007. (Acceptance rate 28%)
  17. Yan Tong, Wenhui Liao, and Qiang Ji, "Inferring Facial Action Unit with Causal Relations,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR06), New York city, June, 2006. (Acceptance rate 28%)
  18. Wenhui Liao, Yan Tong, Zhiwei Zhu and and Qiang Ji, “Robust Object Tracking with a Case-base Updating Strategy,” the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, January, 2007. (Acceptance rate: 15.7%)

Teaching

  • CSCE350: Data Structures and Algorithms  [Fall 2011] [Fall 2012] [Fall 2013] [Fall 2014] [Fall 2015]
  • CSCE565: Introduction to Computer Graphics [Fall2016]
  • CSCE572: Human Computer Interaction [Fall2017]
  • CSCE763: Digital Image Processing [Spring 2011] [Spring 2012] [Spring 2014] [Spring 2016]
  • CSCE867: Computer Vision [Spring 2013] [Spring 2015] [Spring 2017]
  • CSCE791: Seminar in Advances in Computing [Spring 2015]

 

 

Research group

o   Boyang Huang

o   Sean Blacks