Hong Man

Building: Burchard Building
Room: 201
Phone: 201.216.5038
Fax: 201.216.8246
Email: hman@stevens.edu
  • Ph.D., Electrical Engineering, 1999 Georgia Institute of Technology, Atlanta, GA
  • M.S., Electrical Engineering, 1994 Gonzaga University, Spokane, WA
  • B.S., Electronics Engineering, 1988 Soochow University, Suzhou, China
  • Computer perception: texture and edge features, feature selection, semantic segmentation
  • Visual understanding: object detection, localization, recognition and tracking, action recognition, face and gesture recognition, emotion and sentiment analysis
  • Joint textual and visual analysis: image to phrases, textual features, sentiment analysis in social media
  • Medical imaging: robust segmentation, fMRI brain activation detection, EEG and EKG time series analysis, tomographic imaging 
Professional Societies

Senior member, IEEE

Member, ACM 

Selected Publications
  1. S. Dai and H. Man. "Mixture Statistic Metric Learning For Robust Human Action and Expression Recognition", IEEE Transactions on Circuits and Systems for Video Technology, DOI 10.1109/TCSVT.2017.2772026, Nov, 2017.
  2. J. Xu, B. Tang, H. He, H. Man. "Semisupervised feature selection based on relevance and redundancy criteria", IEEE Transactions on Neural Networks and Learning Systems, pp. 1974-1984, Vol. 28, Issue 9, Sep. 2017.
  3. C. Cui, H. Man, Y. Wang, and S. Liu. "Optimal Cooperative Spectrum Aware Opportunistic Routing in Cognitive Radio Ad Hoc Networks", Wireless Personal Communications, Springer, July 2016, doi:10.1007/s11277-016-3447-x.
  4. S. Dai and H. Man. "Statistical Adaptive Metric Learning in Visual Action Feature Set Recognition", Image and Vision Computing, Elsevier, April 2016, doi:10.1016/j.imavis.2016.04.003.
  5. Ling Chen, Hong Man, Huading Jia. "On Scanning Linear Barcodes From Out-of-Focus Blurred Images: A Spatial Domain Dynamic Template Matching Approach", IEEE Trans. On Image Processing, Vol 23, Issue 6, pp. 2637-2650, Jun. 2014.
  6. Qiao Cai, Haibo He, Hong Man. "Imbalanced Evolving Self-Organizing Learning", Neurocomputing (Elsevier), Vol. 133, pp. 258-270, June 2014.
  7. Y. Guo, S. Zhang, A. Ritter, H. Man. "A Case Study on a Capsule Robot in the Gastrointestinal Tract to Teach Robot Programming and Navigation", IEEE Trans. on Education, Vol. 57, Issue 2, pp. 112-121, May 2014.
  8. J. Mitola III, J. Guerci, J. Reed, Y.-D. Yao, Y. Chen, T.C. Clancy, J. Dwyer, H. Li, H. Man, R. McGwier, Y. Guo,. "Accelerating 5G QoE via Public-Private Spectrum Sharing", IEEE Communication Magazine, Vol. 52, Issue 5, pp. 77-85, May 2014.
  9. Jin Xu, Guang Yang, Yafeng Yin, Hong Man and Haibo He. "Sparse Representation Based Classification with Structure Preserving Dimension Reduction", Cognitive Computing (Springer), Mar 2014. DOI 10.1007/s12559-014-9252-5.
Conference Proceedings
  1. Dai Shuanglu, Hong Man. "Unsupervised Object Discovery And Localization Via Structural Discrimination", IEEE International Conference on Image Processing (ICIP’18), Oct. 2018.
  2. S. Dai, and H. Man. "Integrating Visual and Textual Affective Descriptors for Sentiment Analysis of Social Media Posts", 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL, Apr. 2018.
  3. S. Dai, and H. Man. "A Statistic Manifold Kernel with Graph Embedding Discriminant Analysis for Action and Expression Recognition", IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, September 2017.
  4. B. Tang, J. Xu, H. He and H. Man. "ADL: Active Dictionary Learning for Sparse Representation", International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, May 2017.
  5. S. Dai, and H. Man. "A Convolutional Riemannian Texture with Differential Entropic Active Contours for Unsupervised Pest Detection", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, LA, March 2017.
  6. S. Dai, H. Man and S. Zhan. "A Bregman Divergence Based Level Set Evolution for Efficient Medical Image Segmentation", the 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016.
  7. S. Dai, X. Xu, B. Jiang, and H. Man. "Multiscale Sentiment Classification Using Canonical Correlation Analysis on Riemannian Manifolds", IEEE International Symposium on Multimedia (ISM 2016), San Jose, CA, December 2016.
  8. F. Zhao, H. Man, and C. Comaniciu. "Robust Multiple External Stimuli Classification In Functional Mri Images", ”, IEEE International Symposium on Biomedical Imaging (ISBI’16), Prague, Czech, April 2016.
  9. S. Dai and H. Man. "Statistical Adaptive Metric Learning for Action Feature Set Recognition in the Wild", International Symposium on Visual Computing, Las Vegas, NE, Dec. 2015.
  10. Suleman Alnatheer and Hong Man. "Posterior Sampling for Opportunistic Spectrum Access with slow flat fading channels", IEEE Vehicular Technology Conference (VTC’15), Boston, MA, Sep. 2015.
  11. Xingzhong Xu, and Hong Man. "Interpreting Sports Tactic Based on Latent Context-Free Grammar", IEEE International Conference on Image Processing (ICIP’15), Québec City, Québec, Sep. 2015.
  12. Shuanglu Dai, Hong Man and Shu Zhan. "Minimum Mutual Information Based Level Set Clustering Algorithm for Fast MRI Tissue Segmentation", IEEE BME Annual Conference (EMBC'15), Milano, Italy, Aug. 2015.
  13. Suleman Alnatheer, Hong Man. "Multi-policy posterior sampling for restless Markov bandits", IEEE Signal and Information Processing (GlobalSIP), Atlanta GA, Dec 2014.
  14. Cuimei Cui, Hong Man, Yiming Wang, Shuqi Liu. "Cooperative spectrum-aware opportunistic routing in cognitive Radio Ad Hoc Networks", IEEE Signal and Information Processing (GlobalSIP), Atlanta GA, Dec 2014.
  • CPE 645 Image Processing and Computer Vision
  • CPE 536 Integrated Services - Multimedia
  • CPE 462 Introduction to Image Processing and Coding
  • CPE 490 Information Systems Engineering I
  • BME 504 Medical Instrumentation and Imaging
  • CPE 646 Pattern Recognition and Classification