James Wang

Professor of Information Science and Technology

James Wang

Research Summary

Modeling of objects, concepts, aesthetics, and emotions in big visual data from various domains.

Huck Affiliations

Publication Tags

Neural Networks Deep Learning Experiments Painting Machine Learning Classifiers Deep Neural Networks Costs Semantics Edge Detection Learning Statistical Methods Computational Efficiency Pathology Image Segmentation Stroke Agglomeration Chemical Analysis Convolution Aesthetics Convergence Of Numerical Methods Placenta Density (Specific Gravity) Robots Feedback

Most Recent Papers

Multi-region saliency-aware learning for cross-domain placenta image segmentation

Zhuomin Zhang, Dolzodmaa Davaasuren, Chenyan Wu, Jeffery A. Goldstein, Alison Diane Gernand, James Z. Wang, 2020, Pattern Recognition Letters on p. 165-171

AI-PLAX: AI-based placental assessment and examination using photos

Yukun Chen, Zhuomin Zhang, Chenyan Wu, Dolzodmaa Davaasuren, Jeffery A. Goldstein, Alison D. Gernand, James Z. Wang, 2020, Computerized Medical Imaging and Graphics

Targeted Data-driven Regularization for Out-of-Distribution Generalization

Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang, 2020, on p. 882-891

Targeted Data-driven Regularization for Out-of-Distribution Generalization

Mohammad Kamani, Sadegh Farhang, M Mahdavi, James Wang, 2020, on p. 882--891

Modeling Aesthetics and Emotions in Visual Content: From Vincent van Gogh to Robotics and Vision

James Wang, 2020, on p. 15--16

ARBEE: Towards automated recognition of bodily expression of emotion in the wild

Yu Luo, Jianbo Ye, Reginald B. Adams, Jia Li, Michelle G. Newman, James Z. Wang, 2020, International Journal of Computer Vision

MEBOW: Monocular Estimation of Body Orientation In the Wild

Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Wang, Cheng-hao Kuo, 2020, on p. 3451--3461

PaDNet: pan-density crowd counting

Yukun Tian, Yiming Lei, Junping Zhang, James Z. Wang, 2020, IEEE Transactions on Image Processing on p. 2714-2727

SCOTT: Shape-Location Combined Tracking with Optimal Transport

Xinye Zheng, Jianbo Ye, James Wang, J Li, 2020, SIAM Journal on Mathematics of Data Science on p. 284-308

Toward Rapid Stroke Diagnosis with Multimodal Deep Learning

Mingli Yu, Tongan Cai, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T.C. Wong, 2020, on p. 616-626

Most-Cited Papers

Aesthetics and emotions in images

Dhiraj Joshi, Ritendra Datta, Elena Fedorovskaya, Quang Tuan Luong, James Z. Wang, Jia Li, Jiebo Luo, 2011, IEEE Acoustics, Speech, and Signal Processing Newsletter on p. 94-115

Rapid

Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang, 2014, on p. 457-466

Deep multi-patch aggregation network for image style, aesthetics, and quality estimation

Xin Lu, Zhe Lin, Xiaohui Shen, Radomir Mech, James Wang, 2015, on p. 990-998

Rating Image Aesthetics Using Deep Learning

Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang, 2015, IEEE Transactions on Multimedia on p. 2021-2034

Microexpression Identification and Categorization Using a Facial Dynamics Map

Feng Xu, Junping Zhang, James Wang, 2017, IEEE Transactions on Affective Computing on p. 254-267

Rethinking the smaller-norm-less-informative assumption in channel pruning of convolution layers

Jianbo Ye, Xin Lu, Zhe Lin, James Z. Wang, 2018,

Rhythmic brushstrokes distinguish van gogh from his contemporaries

Jia Li, Lei Yao, Ella Hendriks, James Z. Wang, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 1159-1176

On shape and the computability of emotions

Xin Lu, Poonam Suryanarayan, Reginald B. Adams, Jia Li, Michelle G. Newman, James Z. Wang, 2012, on p. 229-238

OSCAR

Lei Yao, Poonam Suryanarayan, Mu Qiao, James Z. Wang, Jia Li, 2012, International Journal of Computer Vision on p. 353-383

Fast discrete distribution clustering using wasserstein barycenter with sparse support

Jianbo Ye, Panruo Wu, James Z. Wang, Jia Li, 2017, IEEE Transactions on Acoustics, Speech, and Signal Processing on p. 2317-2332