Shuang Liang

Affiliations:
  • Novauto Co., Ltd.


According to our database1, Shuang Liang authored at least 14 papers between 2018 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
TA-GATES: An Encoding Scheme for Neural Network Architectures.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Autonomous Driving System Design: From Software to Hardware.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward.
CoRR, 2021

Evaluating Efficient Performance Estimators of Neural Architectures.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Computing Platform Design for Autonomous Driving Systems.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

aw_nas: A Modularized and Extensible NAS framework.
CoRR, 2020

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures.
CoRR, 2020

A Surgery of the Neural Architecture Evaluators.
CoRR, 2020

2019
On-Chip Instruction Generation for Cross-Layer CNN Accelerator on FPGA.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

A Fine-Grained Sparse Accelerator for Multi-Precision DNN.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

DNNVM: End-to-End Compiler Leveraging Operation Fusion on FPGA-based CNN Accelerators.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Compressed CNN Training with FPGA-based Accelerator.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
Real-Time Object Detection and Semantic Segmentation Hardware System with Deep Learning Networks.
Proceedings of the International Conference on Field-Programmable Technology, 2018


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