Hengshan Yue
Orcid: 0000-0003-2189-8385Affiliations:
- Jilin University, Changchun, China
According to our database1,
Hengshan Yue
authored at least 31 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
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
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
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 10th IEEE International Conference on High Performance and Smart Computing, 2024
Proceedings of the 10th IEEE International Conference on High Performance and Smart Computing, 2024
Proceedings of the IEEE International Conference on Cluster Computing, 2024
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
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
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
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
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the Knowledge Science, Engineering and Management, 2021
2020
Future Gener. Comput. Syst., 2020
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
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
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