On shape and the computability of emotions. - Xin Lu 006; Poonam Suryanarayan; Reginald B. Adams Jr.; Jia Li 001; Michelle G. Newman; James Z. Wang 001 (ACM Multimedia, 2012)

Supervised Machine Learning Classification of Journals Entries About Emotional Personal Experiences. - Michelle G. Newman; John Yen; Prasenjit Mitra; William Murphy; Nicholas Jacobson; Hanjoo Kim (AMIA, 2013)

Identifying Emotions Aroused from Paintings. - Xin Lu 006; Neela Sawant; Michelle G. Newman; Reginald B. Adams Jr.; James Z. Wang 001; Jia Li 001 (ECCV Workshops (1), 2016)

An investigation into three visual characteristics of complex scenes that evoke human emotion. - Xin Lu 006; Reginald B. Adams Jr.; Jia Li 001; Michelle G. Newman; James Z. Wang 001 (ACII, 2017)

Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data. - Jianbo Ye; Jia Li 001; Michelle G. Newman; Reginald B. Adams Jr.; James Z. Wang 001 (IEEE Trans. Affect. Comput., 2019)

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild. - Yu Luo; Jianbo Ye; Reginald B. Adams Jr.; Jia Li 001; Michelle G. Newman; James Z. Wang 001 (Int. J. Comput. Vis., 2020)

Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion. - James Z. Wang 001; Sicheng Zhao; Chenyan Wu; Reginald B. Adams Jr.; Michelle G. Newman; Tal Shafir; Rachelle Tsachor (Proc. IEEE, 2023)