DenseGCN: A multi-level and multi-temporal graph convolutional network for action recognition. - Chengzhang Yu; Wenxia Bao (IET Image Process., 2023)

A Self-Supervised Pressure Map Human Keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets. - Chengzhang Yu; Xianjun Yang; Wenxia Bao; Shaonan Wang; Zhiming Yao (ICASSP, 2024)

FRAME: Feedback-Refined Agent Methodology for Enhancing Medical Research Insights. - Chengzhang Yu; Yiming Zhang; Zhixin Liu; Zenghui Ding; Yining Sun; Zhanpeng Jin (ACL (Findings), 2025)

IMUFace: Real-Time, Low-Power, Continuous 3D Facial Reconstruction Through Earphones. - Xianrong Yao; Chengzhang Yu; Lingde Hu; Yincheng Jin; Yang Gao 025; Zhanpeng Jin (SenSys, 2025)

Enhancing Alzheimer's detection: VAE-augmented handwriting analysis. - Noman Ahmed; Ying Hao; Chengzhang Yu; Zhanpeng Jin (CCF Trans. Pervasive Comput. Interact., 2025)

CircuitProbe: Dissecting Spatiotemporal Visual Semantics with Circuit Tracing. - Yiming Zhang; Chengzhang Yu; Zhuokai Zhao; Kun Wang; Qiankun Li; Zihan Chen; Yang Liu; Zenghui Ding; Yining Sun (CoRR, 2025)

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach. - Hongyan Cheng; Chengzhang Yu; Yanshu Shi; Chiyue Wang; Cong Liu; Zhanpeng Jin (CoRR, 2025)