Chongchong Xu

According to our database1, Chongchong Xu authored at least 17 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Federated learning for interpretable short-term residential load forecasting in edge computing network.
Neural Comput. Appl., April, 2023

Enhancing Voltage Compliance in Distribution Network Under Cloud and Edge Computing Framework.
IEEE Trans. Cloud Comput., 2023

2021
Tinker: A Middleware for Deploying Multiple NN-Based Applications on a Single Machine.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

2020
Temporal Pattern Attention-Based Sequence to Sequence model for Multistep Individual Load Forecasting.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch.
Complex., 2019

2018
UniCNN: A Pipelined Accelerator Towards Uniformed Computing for CNNs.
Int. J. Parallel Program., 2018

Domino: Graph Processing Services on Energy-Efficient Hardware Accelerator.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Domino: An Asynchronous and Energy-efficient Accelerator for Graph Processing: (Abstract Only).
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Furion: alleviating overheads for deep learning framework on single machine (work-in-progress).
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2018

2017
Implementation and Optimization of the Accelerator Based on FPGA Hardware for LSTM Network.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

A High-Performance Accelerator for Large-Scale Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Evaluation and Trade-offs of Graph Processing for Cloud Services.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

A Power-Efficient Accelerator Based on FPGAs for LSTM Network.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

OmniGraph: A Scalable Hardware Accelerator for Graph Processing.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

A Power-Efficient Accelerator for Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Mermaid: Integrating Vertex-Centric with Edge-Centric for Real-World Graph Processing.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

A high-performance FPGA accelerator for sparse neural networks: work-in-progress.
Proceedings of the 2017 International Conference on Compilers, 2017


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