Research Interests
Feature Selection, Speaker Diarization, Natural Language Processing, and topics
related to multimodal machine learning, deep learning and complex system.
Publications and Presentation
[Presentation] Yingjun Dong and Hiroki Sayama, Optimizing Facial Feature Extraction for
Emotion Detection on Mobile Devices. NERCCS 2019: Second Northeast Regional
Conference on Complex Systems.
[Proceeding] Yingjun Dong and Hiroki Sayama, Mutual-information-based feature selection for
facial emotion recognition on light-weight devices, Proceedings of the 2019 IEEE
Symposium Series on Computational Intelligence (IEEE SSCI 2019 -- IEEE CIDM 2019), December 6-9, 2019, Xiamen, China, IEEE.
Research Projects
- Diversity, network structure, and the effectiveness of collective design and
innovation (Award #:NSF SES-1734147)
- Collective planning and leadership for the U.S. Army