Shanghai Jiao Tong University participation in high-level feature extraction and surveillance event detection at TRECVID 2009. - Xiaokang Yang 001; Yi Xu 001; Rui Zhang 052; Erkang Chen; Qing Yan; Bo Xiao; Zhou Yu 001; Ning Li; Zuo Huang; Cong Zhang 005; Xiaolin Chen; Anwen Liu; et al. (TRECVID, 2009)

Crowd Counting Using Deep Learning in Edge Devices. - Zuo Huang; Richard O. Sinnott; Qiuhong Ke (BDCAT, 2021)

Sleeping stage classification based on joint quaternion valued singular spectrum analysis and ensemble empirical mode decomposition. - Zuo Huang; Bingo Wing-Kuen Ling (Biomed. Signal Process. Control., 2022)

Joint ensemble empirical mode decomposition and tunable Q factor wavelet transform based sleep stage classifications. - Zuo Huang; Bingo Wing-Kuen Ling (Biomed. Signal Process. Control., 2022)

Truck Speed Detection Through Video Streams. - Zuo Huang; Richard O. Sinnott; Krista A. Ehinger (e-Science, 2023)

Improved Knowledge Distillation for Crowd Counting on IoT Devices. - Zuo Huang; Richard O. Sinnott (EDGE, 2023)

Pandemic model with data-driven phase detection, a study using COVID-19 data. - Yuansan Liu; Saransh Srivastava; Zuo Huang; Felisa J. Vázquez-Abad (J. Oper. Res. Soc., 2023)

End-to-End Truck Speed Detection Using Deep Multi-task Learning. - Zuo Huang; Richard O. Sinnott; Krista A. Ehinger (AI (2), 2024)

Detecting, Counting, and Estimating the Speed of Moving Objects in Edge Devices through Deep Learning. - Zuo Huang (2024)