Shijie Li

Orcid: 0000-0002-0529-0057

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

TianheStar: Orchestrating SSSP Applications on Tianhe Supercomputer.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
MTMap: A Long-Read Alignment Tool based on Multi-Core DSPs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020
A Simplified Speaker Recognition System Based on FPGA Platform.
IEEE Access, 2020

2019
Exploring frame segmentation networks for temporal action localization.
J. Vis. Commun. Image Represent., 2019

A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.
Comput. Intell. Neurosci., 2019

GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks.
IEEE Access, 2019

2018
Frame Segmentation Networks for Temporal Action Localization.
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
Throughput-Optimized FPGA Accelerator for Deep Convolutional Neural Networks.
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
Multi-view clustering with extreme learning machine.
Neurocomputing, 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


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