Shijie Li
Orcid: 0000-0002-0529-0057Affiliations:
- National University of Defense Technology, College of Computer Science and Technology, Changsha, China
According to our database1,
Shijie Li authored at least 19 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
An Energy-Efficient 0.56-pJ/cycle AVFS System Based on a Fast Transient Response Digital LDO and a Self-Calibrating Elastic Clock.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026
2025
A Novel High-Speed Adaptive Duobinary Digital Detector Based on the Feed-Forward Equalizer and the Maximum Likelihood Sequence Detector for Wireline Transceivers.
IEEE Trans. Very Large Scale Integr. Syst., April, 2025
FusionSVFilter: A Deep-Learning Based Fast Structural Variation Filtering Tool for Long Reads.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms.
ACM Trans. Archit. Code Optim., December, 2024
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2020
2019
J. Vis. Commun. Image Represent., 2019
A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.
Comput. Intell. Neurosci., 2019
IEEE Access, 2019
2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Deep Image Clustering Using Convolutional Autoencoder Embedding with Inception-Like Block.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018
2017
ACM Trans. Reconfigurable Technol. Syst., 2017
Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine.
Neurocomputing, 2017
A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection.
Neurocomputing, 2017
2016
Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
2014
A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014