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2020 – today
- 2023
[i3]Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng:
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities. CoRR abs/2306.01376 (2023)- [i2]Jianchao Lu, Yuzhe Tian, Yang Zhang, Jiaqi Ge, Quan Z. Sheng, Xi Zheng:
LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces. CoRR abs/2310.08051 (2023) - 2022
- [c3]Yuzhe Tian
, Tom H. Luan, Xi Zheng:
An Empirical Study on Model Pruning and Quantization. BROADNETS 2022: 111-125 - [c2]Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, Xi Zheng:
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. DSAA 2022: 1-8 - [i1]Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, James Xi Zheng:
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. CoRR abs/2209.13645 (2022) - 2020
- [c1]Samundra Deep, Yuzhe Tian, Jianchao Lu, Yipeng Zhou, James Xi Zheng:
Leveraging Multi-view Learning for Human Anomaly Detection in Industrial Internet of Things. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 533-537
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