Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. - Sihai Tang; Zhaochen Gu; Qing Yang 003; Song Fu (IEEE BigData, 2019)

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Hui Zhao 013; Song Fu (FPGA, 2021)

Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. - Zhaochen Gu; Sihai Tang; Beilei Jiang; Song Huang; Qiang Guan; Song Fu (IPDPS Workshops, 2021)

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Song Fu; Qing Yang 003; Mingxiong Liu (IPDPS, 2022)

Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems. - Zhaochen Gu; Venkata Mani Krishna Karri; Shashank Sharma; Hang Tran; Aishwarya Manjunath; Donger Chen; Song Fu; Narendra B. Dahotre (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process. - Zhaochen Gu; Shashank Sharma; Daniel A. Riley; Mangesh V. Pantawane; Sameehan S. Joshi; Song Fu; Narendra B. Dahotre (J. Intell. Manuf., 2023)