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

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Neural Networks Machine Learning Deep Learning Experiments Deep Neural Networks Convolutional Neural Networks Polygalacturonase Recommender Systems Learning Systems Seedlings Classifiers Computational Efficiency Benchmarking Convolution Growth And Development Scalability Weights And Measures Neural Network Arabidopsis Robots Convergence Of Numerical Methods Datasets Layer Arabidopsis Thaliana Costs

Most Recent Publications

ExpressionFlow: A Microexpression Descriptor for Efficient Recognition

Feng Xu, Yifan Yuan, Junping Zhang, James Wang, 2024,

Unleashing the Problem-Solving Potential of Next-Generation Data Scientists

Lizhen Zhu, James Wang, 2024,

Modeling Visual Aesthetics, Emotion, and Artistic Style

James Wang, R Adams, 2024,

High-Speed Joint Learning of Action Units and Facial Expressions

Feng Xu, Yifan Yuan, Junping Zhang, James Wang, 2024,

A deep learning model for natural language querying in Cyber–Physical Systems

Juan Alberto Llopis, Antonio Jesús Fernández-García, Javier Criado, Luis Iribarne, Rosa Ayala, James Z. Wang, 2023, Internet of Things (Netherlands)

Demographic differences and biases in affect evoked by visual features.

B. Kandemir, Hanjoo Kim, Michelle Newman, R Adams, J Li, J Wang, 2023, on p. 331- 347

A Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?

Zhuomin Zhang, Elizabeth C. Mansfield, Jia Li, John Russell, G Young, Catherine Adams, Kevin A. Bowley, J Wang, James Z. Wang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence on p. 33-42

Bodily expressed emotion understanding through integrating Laban movement analysis

Chenyan Wu, Dolzodmaa Davaasuren, Tal Shafir, Rachelle Tsachor, James Z. Wang, 2023, Patterns

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion

James Z. Wang, Sicheng Zhao, Chenyan Wu, Reginald B. Adams, Michelle G. Newman, Tal Shafir, Rachelle Tsachor, 2023, Proceedings of the Institute of Radio Engineers on p. 1236-1286

BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior

Yanglan Ou, Sharon X. Huang, Kelvin K. Wong, Jonathon Cummock, John Volpi, James Z. Wang, Stephen T.C. Wong, 2023, Computerized Medical Imaging and Graphics

Most-Cited Papers

Rapid: Rating pictorial aesthetics using deep learning

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

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

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

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

Microexpression Identification and Categorization Using a Facial Dynamics Map

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

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

POLYGALACTURONASE INVOLVED IN EXPANSION3 functions in seedling development, rosette growth, and stomatal dynamics in Arabidopsis thaliana

Yue Rui, Chaowen Xiao, Hojae Yi, Baris Kandemir, James Z. Wang, Virendra M. Puri, Charles T. Anderson, 2017, Plant Cell on p. 2413-2432

PaDNet: Pan-Density Crowd Counting

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

Fast discrete distribution clustering using wasserstein barycenter with sparse support

Jianbo Ye, Panruo Wu, James Z. Wang, Jia Li, 2017, IRE Transactions on Audio on p. 2317-2332

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

Yu Luo, Y Lou, J Ye, Reginald B. Adams, Jia Li, Michelle G. Newman, James Z. Wang, 2020, International Journal of Computer Vision on p. 1-25

A recommender system for component-based applications using machine learning techniques

Antonio Jesús Fernández-García, Luis Iribarne, Antonio Corral, Javier Criado, James Z. Wang, 2019, Knowledge-Based Systems on p. 68-84