| Smart home IoT anomaly detection based on ensemble model learning from heterogeneous data S Tang, Z Gu, Q Yang, S Fu 2019 IEEE International Conference on Big Data (Big Data), 4185-4190, 2019 | 26 | 2019 |
| A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process Z Gu, S Sharma, DA Riley, MV Pantawane, SS Joshi, S Fu, NB Dahotre Journal of Intelligent Manufacturing 34 (8), 3341-3363, 2023 | 13 | 2023 |
| Vehicular edge computing for multi-vehicle perception S Tang, Z Gu, S Fu, Q Yang 2021 Fourth International Conference on Connected and Autonomous Driving …, 2021 | 7 | 2021 |
| Characterizing job-task dependency in cloud workloads using graph learning Z Gu, S Tang, B Jiang, S Huang, Q Guan, S Fu 2021 IEEE international parallel and distributed processing symposium …, 2021 | 6 | 2021 |
| Deep learning-based melt pool and porosity detection in components fabricated by laser powder bed fusion Z Gu, KV Mani Krishna, M Parsazadeh, S Sharma, A Manjunath, H Tran, ... Progress in Additive Manufacturing, 1-18, 2024 | 3 | 2024 |
| MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications B Jiang, X Cheng, S Tang, X Ma, Z Gu, S Fu, Q Yang, M Liu 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 2 | 2022 |
| APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA B Jiang, X Cheng, S Tang, X Ma, Z Gu, H Zhao, S Fu The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021 | 1 | 2021 |
| Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems Z Gu, VMK Karri, S Sharma, H Tran, A Manjunath, D Chen, S Fu, ... 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2023 | | 2023 |
