Hengshan Yue

Orcid: 0000-0003-2189-8385

Affiliations:
  • Jilin University, Changchun, China


According to our database1, Hengshan Yue authored at least 31 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Exploiting Complex Network-Based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning.
IEEE Trans. Mob. Comput., December, 2024

ReIPE: Recycling Idle PEs in CNN Accelerator for Vulnerable Filters Soft-Error Detection.
ACM Trans. Archit. Code Optim., September, 2024

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

SAR: Sharpness-Aware minimization for enhancing DNNs' Robustness against bit-flip errors.
J. Syst. Archit., 2024

ALERT: A lightweight defense mechanism for enhancing DNN robustness against T-BFA.
J. Syst. Archit., 2024

DUAL-C: Building a "soft error efficient" on-the-fly compression mechanism for raw video data at edge devices.
Future Gener. Comput. Syst., 2024

CraftRGP: A Comprehensive Reliability Analysis Framework Towards ReRAM-Based Graph Processing.
Proceedings of the IEEE International Test Conference in Asia, 2024

EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices.
Proceedings of the International Joint Conference on Neural Networks, 2024

HPC-Crash: Characterizing Crash-Proneness of HPC Programs from Various Perspectives.
Proceedings of the 10th IEEE International Conference on High Performance and Smart Computing, 2024

RCW-Pruner: Row-Column Wise Pruning Framework on Systolic Array.
Proceedings of the 10th IEEE International Conference on High Performance and Smart Computing, 2024

PGSampler: Accelerating GPU-Based Graph Sampling in GNN Systems via Workload Fusion.
Proceedings of the IEEE International Conference on Cluster Computing, 2024

Evaluating the Soft Error Resilience of Graph Applications on GPGPUs.
Proceedings of the 10th IEEE Conference on Big Data Security on Cloud, 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

CFPA: Cognitive Federated Partial Adaptation for Effective Personalization.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 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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