Hengshan Yue

Orcid: 0000-0003-2189-8385

Affiliations:
  • Jilin University, Changchun, China


According to our database1, Hengshan Yue authored at least 19 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
ApproxDup: Developing an Approximate Instruction Duplication Mechanism for Efficient SDC Detection in GPGPUs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2024

2023
TC-SEPM: Characterizing soft error resilience of CNNs on Tensor Cores from program and microarchitecture perspectives.
J. Syst. Archit., December, 2023

FASS-pruner: customizing a fine-grained CNN accelerator-aware pruning framework via intra-filter splitting and inter-filter shuffling.
CCF Trans. High Perform. Comput., September, 2023

An Approximate Fault-Tolerance Design for a Convolutional Neural Network Accelerator.
IT Prof., 2023

GLAM-SERP: Building a Graph Learning-Assisted Model for Soft Error Resilience Prediction in GPGPUs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Detecting SDCs in GPGPUs Through Efficient Partial Thread Redundancy.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Defending T-BFA in DNNs Efficiently via Random Security-Sensitive Weights Switching.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
Eff-ECC: Protecting GPGPUs Register File With a Unified Energy-Efficient ECC Mechanism.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning.
J. Syst. Archit., 2022

MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
SDLSC-TA: Subarea Division Learning Based Task Allocation in Sparse Mobile Crowdsensing.
IEEE Trans. Emerg. Top. Comput., 2021

G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs.
Proceedings of the International Conference for High Performance Computing, 2021

Detecting SDCs in GPGPUs Through an Efficient Instruction Duplication Mechanism.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2020
G-SEAP: Analyzing and characterizing soft-error aware approximation in GPGPUs.
Future Gener. Comput. Syst., 2020

A Novel Clustering-Based Filter Pruning Method for Efficient Deep Neural Networks.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

LAD-ECC: Energy-Efficient ECC Mechanism for GPGPUs Register File.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
An RNN-Based Delay-Guaranteed Monitoring Framework in Underwater Wireless Sensor Networks.
IEEE Access, 2019

Evaluating the Soft Error Resilience of Instructions for GPU Applications.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2018
Topology-Aware Task Allocation for Distributed Stream Processing with Latency Guarantee.
Proceedings of the 2nd International Conference on Advances in Image Processing, 2018


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