Xiujun Yang

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Xiujun Yang is a researcher specializing in affective computing, cognitive modeling, and human-computer interaction, with a particular focus on the intersection of emotional intelligence and computational systems. Their most notable work, "Cognitive-affective regulation process for micro-expressions based on Gaussian cloud distribution" (2016), demonstrates a sophisticated approach to understanding emotional state transitions through computational frameworks. In this research, Yang investigates how cognitive reasoning and micro-expression recognition serve as foundational elements for affective computing adjustment processes, employing Gaussian cloud distribution models to map the nuanced dynamics of emotional regulation influenced by interaction partners' emotional states. This contribution represents a meaningful advancement in the field of affective computing, bridging psychological theories of cognition with practical machine recognition systems. While Yang's citation record is still developing, their work addresses a critically important challenge in human-computer interaction — enabling machines to recognize and respond to subtle human emotional cues such as micro-expressions. This research has implications for fields ranging from intelligent tutoring systems to healthcare monitoring, positioning Yang as an emerging contributor to the growing discipline of emotionally aware computing systems.