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

Most Recent Publications

Cross-modal contrastive learning for unified placenta analysis using photographs

Yimu Pan, Manas Mehta, Jeffery A. Goldstein, Joseph Ngonzi, Lisa M. Bebell, Drucilla J. Roberts, Chrystalle Katte Carreon, Kelly Gallagher, Rachel E. Walker, Alison D. Gernand, James Wang, 2024, Patterns

Hopfield and Hinton's neural network revolution and the future of AI

James Z. Wang, Bradley Paul Wyble, 2024, Patterns

How our authors are using AI tools in manuscript writing

Yinqi Bai, Clayton W. Kosonocky, James Z. Wang, 2024, Patterns

Assessment of an AI-based tool for population-wide collection of placental morphological data

E. J. Camm, G. Wong, Y. Pan, J. Z. Wang, J. A. Goldstein, A. Arcot, C. N. Murphy, H. Hansji, Y. T. Mangwiro, R. Saffery, M. E. Wlodek, C. S. Wyrwoll, A. D. Gernand, T. J. Kaitu'u-Lino, 2024, European Journal of Obstetrics and Gynecology and Reproductive Biology on p. 110-117

Incorporating simulated spatial context information improves the effectiveness of contrastive learning models

Lizhen Zhu, James Z. Wang, Wonseuk Lee, Bradley Paul Wyble, 2024, Patterns

Tutorial on Movement Notation: An Interdisciplinary Methodology for HRI to Reveal the Bodily Expression of Human Counterparts via Collecting Annotations from Dancers in a Shared Data Repository

Amy LaViers, Cat Maguire, James Z. Wang, Rachelle Tsachor, 2024, on p. 1332-1334

Modeling Visual Aesthetics, Emotion, and Artistic Style

James Wang, R Adams, 2024, on p. 396

High-Speed Joint Learning of Action Units and Facial Expressions

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

ExpressionFlow: A Microexpression Descriptor for Efficient Recognition

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 (The Netherlands)

Most-Cited Papers

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

Balancing strength and flexibility: how the synthesis, organization, and modification of guard cell walls govern stomatal development and dynamics

Yue Rui, Yintong Chen, Baris Kandemir, Hojae Yi, James Z. Wang, Virendra Puri, Charles Anderson, 2018, Frontiers in Plant Science on p. 11 pages

News Articles Featuring James Wang

Dec 17, 2024

Placenta assessment tool aims to improve neonatal, maternal care

A multi-national, multi-institutional team led by Penn State researchers developed a new tool that enables doctors to examine placentas right at the bedside using just a phone.

Full Article

Dec 11, 2024

Center for Socially Responsible AI awards seed funding to seven diverse projects

The Penn State Center for Socially Responsible Artificial Intelligence (CSRAI) has announced the results of its most recent seed-funding competition.

Full Article

May 17, 2023

Perception of human emotion in movement focus of $2 million NSF grant

A Penn State-led research team received a $2 million National Science Foundation (NSF) grant to study how machines perceive and process human body language.

Full Article

Dec 09, 2022

Novel 3D imaging model may show path to more water-efficient plants

Changes in Earth’s orbit that favored hotter conditions may have helped trigger a rapid global warming event 56 million years ago that is considered an analogue for modern climate change, according to an international team of scientists.

Full Article

Nov 08, 2022

High-tech tool to perform low-cost health screening for newborns and mothers

In 2017, nearly 300,000 women died during or following childbirth, but most of those could have been prevented, according to the World Health Organization. Additionally, four million babies die each year before reaching their first birthday.

Full Article

Jul 20, 2022

James Wang earns fourth consecutive Amazon Research Award

James Wang, distinguished professor in the Penn State College of Information Sciences and Technology, is the recipient of an Amazon Research Award for the fourth consecutive year.

Full Article

Apr 17, 2025

Picture this: Using AI to analyze photographs of the placenta

Researchers at The Pennsylvania State University are developing a tool that uses AI to evaluate a picture of the placenta, providing a prediction for multiple adverse outcomes.

Full Article