Qingyang Zeng

Master's Student, School of Computer Science, Nanjing University

About Me

I am a Master's student at Nanjing University's School of Computer Science, specializing in Gait-based Emotion Recognition. My research focuses on developing advanced deep learning models to analyze human gait patterns for emotion detection.

Research Interests

Gait Analysis
Emotion Recognition
Transformer Models
Computer Vision
Affective Computing

Publications

GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition

Accepted by AAAI 2025

This paper presents a novel Graph Tansformer based approach for emotion recognition from gait patterns, utilizing the periodic nature of human walking cycles to improve recognition accuracy.

Education

Nanjing University - Master of Computer Science (Expected Graduation: 2026)

Nanjing University - Bachelor of Computer Science (2019-2023)