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Shijie Li 0002
Person information
- affiliation: National University of Defense Technology, College of Computer Science and Technology, Changsha, China
Other persons with the same name
- Shijie Li — disambiguation page
- Shijie Li 0001
— Henan University, School of Artificial Intelligence, Zhengzhou, China - Shijie Li 0003
— Wuhan University of Technology, School of Transportation and Logistics Engineering, China (and 1 more) - Shijie Li 0004
— Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, China - Shijie Li 0005
— South China University of Technology, School of Future Technology, Guangzhou, China - Shijie Li 0006
— A*STAR, Singapore (and 1 more) - Shijie Li 0007
— Nanjing University of Information Science & Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China - Shijie Li 0008
— North China Electric Power University, Department of Electronics and Communication Engineering, Baoding, China - Shijie Li 0009
— University of Science and Technology of China, School of Cyber Science and Technology, Hefei, China - Shijie Li 0010
— Beihang University, School of Cyber Science and Technology, Beijing, China - Shijie Li 0011
— Shandong University, School of Information Science and Engineering, Qingdao, China
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2020 – today
- 2025
[j10]Chaolong Xu
, Fangxu Lv, Mingche Lai
, Xingyun Qi, Qiang Wang
, Zhang Luo
, Shijie Li, Geng Zhang:
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. 33(4): 1042-1052 (2025)
[c8]Xinghai Zeng, Tao Tang, Shijie Li, Yingbo Cui:
FusionSVFilter: A Deep-Learning Based Fast Structural Variation Filtering Tool for Long Reads. BIBM 2025: 623-628- 2024
[j9]Xinbiao Gan
, Tiejun Li
, Feng Xiong
, Bo Yang
, Xinhai Chen
, Chunye Gong
, Shijie Li
, Kai Lu
, Qiao Li
, Yiming Zhang
:
MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms. ACM Trans. Archit. Code Optim. 21(4): 67:1-67:22 (2024)
[c7]Xinbiao Gan, Qian Tang, Feng Xiong, Shijie Li, Bo Yang, Tiejun Li:
TianheStar: Orchestrating SSSP Applications on Tianhe Supercomputer. CCGrid 2024: 534-542- 2023
[c6]Yufei Guo, Xinjie An, Shijie Li, Yingbo Cui, Peng Zhang, Biao Long, Shanshan Li:
MTMap: A Long-Read Alignment Tool based on Multi-Core DSPs. BIBM 2023: 863-866- 2020
[j8]Jinwei Xu
, Shijie Li
, Jingfei Jiang, Yong Dou:
A Simplified Speaker Recognition System Based on FPGA Platform. IEEE Access 8: 1507-1516 (2020)
2010 – 2019
- 2019
[j7]Shijie Li
, Yong Dou, Jinwei Xu, Ke Yang, Rongchun Li:
GBCNN: A Full GPU-Based Batch Multi-Task Cascaded Convolutional Networks. IEEE Access 7: 20225-20234 (2019)
[j6]Shijie Li
, Xiaolong Shen
, Yong Dou, Shi-Ce Ni, Jinwei Xu, Ke Yang, Qiang Wang
, Xin Niu:
A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. Comput. Intell. Neurosci. 2019: 4328653:1-4328653:12 (2019)
[j5]Ke Yang, Xiaolong Shen, Peng Qiao, Shijie Li, Dongsheng Li, Yong Dou:
Exploring frame segmentation networks for temporal action localization. J. Vis. Commun. Image Represent. 61: 296-302 (2019)
[i1]Ke Yang, Xiaolong Shen, Peng Qiao, Shijie Li, Dongsheng Li, Yong Dou:
Exploring Frame Segmentation Networks for Temporal Action Localization. CoRR abs/1902.05488 (2019)- 2018
[c5]Shijie Li, Yong Dou, Jinwei Xu, Qiang Wang
, Xin Niu:
mmCNN: A Novel Method for Large Convolutional Neural Network on Memory-Limited Devices. COMPSAC (1) 2018: 881-886
[c4]Qiang Wang
, Jiaqing Xu, Rongchun Li, Peng Qiao, Ke Yang, Shijie Li, Yong Dou:
Deep Image Clustering Using Convolutional Autoencoder Embedding with Inception-Like Block. ICIP 2018: 2356-2360
[c3]Ke Yang, Peng Qiao, Qiang Wang
, Shijie Li, Xin Niu, Dongsheng Li, Yong Dou:
Frame Segmentation Networks for Temporal Action Localization. PCM (2) 2018: 242-252- 2017
[j4]Shijie Li, Yong Dou, Xin Niu, Qi Lv, Qiang Wang
:
A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection. Neurocomputing 230: 48-59 (2017)
[j3]Shijie Li, Xin Niu, Yong Dou, Qi Lv, Yueqing Wang:
Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine. Neurocomputing 261: 153-163 (2017)
[j2]Zhiqiang Liu, Yong Dou, Jingfei Jiang, Jinwei Xu, Shijie Li, Yongmei Zhou, Yingnan Xu:
Throughput-Optimized FPGA Accelerator for Deep Convolutional Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 10(3): 17:1-17:23 (2017)- 2016
[j1]Qiang Wang
, Yong Dou, Xinwang Liu, Qi Lv, Shijie Li:
Multi-view clustering with extreme learning machine. Neurocomputing 214: 483-494 (2016)
[c2]Shijie Li, Yong Dou, Qi Lv, Qiang Wang
, Xin Niu, Ke Yang:
Optimized GPU Acceleration Algorithm of Convolutional Neural Networks for Target Detection. HPCC/SmartCity/DSS 2016: 224-230- 2014
[c1]Lei Guo, Shijie Li, Xin Niu, Yong Dou:
A Study on Layer Connection Strategies in Stacked Convolutional Deep Belief Networks. CCPR (1) 2014: 81-90
Coauthor Index

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last updated on 2026-06-23 02:51 CEST by the dblp team
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