Zhaochen Gu

According to our database, Zhaochen Gu authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

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

Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

2022

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications.

Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning.

Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA.

Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2019

Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data.

Sihai Tang, Zhaochen Gu, Qing Yang, Song Fu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019