Yuxing Zhi

Biography

I received my Ph.D. degree in Computer Science and Technology from the School of Computer Science and Engineering at Xi'an University of Technology in June 2026, where I also received my B.Eng. and M.Eng. degrees. Supervised by Prof. Junhuai Li, my academic journey has been driven by a passion for creating intelligent systems that understand human states. I ranked 1st out of 11 in my doctoral cohort with a weighted average score of 88.8/100 and am a recipient of the National Scholarship.

My research sits at the intersection of Multimodal Learning, Affective Computing, and Physiological Signal Analysis.

Research Interests

My research focuses on multimodal representation learning for human-centered affective, cognitive, and behavioral understanding. I am particularly interested in developing robust learning methods for heterogeneous data, including text, audio, visual signals, EEG, and pressure sensor data. Key areas include:

• Multimodal Learning & Affective Computing: Robust sentiment analysis and emotion recognition.
• Cross-modal Alignment & Fusion: Effective integration strategies for heterogeneous modalities.
• Physiological Signal Modeling: EEG-based affective computing and attention modeling (e.g., ADHD assessment).
• Human Activity Recognition (HAR): Wearable sensor-based action recognition and movement assessment.

News & Updates

• [2026.01] Our paper “A Multimodal Sentiment Analysis Approach Based on Multi-view Cross-modal Fusion” was published in IEEE Transactions on Computational Social Systems. [code]
• [2025.12] Honored with the Academic Scholarship for Doctoral Students (Top tier).
• [2025.11] Delivered an Oral Presentation at the 11th International Symposium on Information Technology and Application in Okinawa, Japan.
• [2025.06] Won the 3rd Prize (Ranked 1st in the team) at the 9th Shaanxi Graduate Innovation Achievement Exhibition.
• [2024.12] Awarded the prestigious National Scholarship for Doctoral Students.