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2020 – today
- 2023
[j1]Zhaochen Gu, Shashank Sharma, Daniel A. Riley, Mangesh V. Pantawane, Sameehan S. Joshi, Song Fu, Narendra B. Dahotre
:
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process. J. Intell. Manuf. 34(8): 3341-3363 (2023)- [c5]Zhaochen Gu, Venkata Mani Krishna Karri, Shashank Sharma, Hang Tran, Aishwarya Manjunath, Donger Chen, Song Fu, Narendra B. Dahotre:
Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 592-599 - 2022
- [c4]Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu:
MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. IPDPS 2022: 1184-1194 - 2021
- [c3]Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu:
APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. FPGA 2021: 146-147 - [c2]Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu:
Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. IPDPS Workshops 2021: 288-297
2010 – 2019
- 2019
- [c1]Sihai Tang, Zhaochen Gu, Qing Yang, Song Fu:
Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. IEEE BigData 2019: 4185-4190
Coauthor Index
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