Leveraging Multi-view Learning for Human Anomaly Detection in Industrial Internet of Things. - Samundra Deep; Yuzhe Tian; Jianchao Lu; Yipeng Zhou; James Xi Zheng (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

An Empirical Study on Model Pruning and Quantization. - Yuzhe Tian; Tom H. Luan; Xi Zheng 001 (BROADNETS, 2022)

PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. - Jianchao Lu; Yuzhe Tian; Shuang Wang 012; Michael Sheng 001; Xi Zheng 001 (DSAA, 2022)

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities. - Tiehua Zhang; Rui Xu; Jianping Zhang; Yuzhe Tian; Xin Chen; Xiaowei Huang; Jun Yin; Xi Zheng 001 (CoRR, 2023)

LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces. - Jianchao Lu; Yuzhe Tian; Yang Zhang 095; Jiaqi Ge; Quan Z. Sheng; Xi Zheng 001 (CoRR, 2023)

LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning. - Jianchao Lu; Yuzhe Tian; Yang Zhang 095; Quan Z. Sheng; James Xi Zheng (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)