Author

Guiying Li

Southern University of Science and Technology - Cited by 231 - DNN compression - Cloud Native - Edge Computing - Market Prediction

Biography

Guiying Li is affiliated with the School of Forestry and Wildlife Sciences of Auburn University located in USA. Liis dedicated to accomplishing research works keenly and is very passionate about the work they do.
Title
Cited by
Year
Stochastic gradient descent for nonconvex learning without bounded gradient assumptions
Y Lei, T Hu, G Li, K TangIEEE transactions on neural networks and learning systems 31 (10), 4394-4400, 2019201
95
2019
Optimization based layer-wise magnitude-based pruning for DNN compression.
G Li, C Qian, C Jiang, X Lu, K TangIJCAI, 2383-2389, 2018201
55
2018
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error.
C Jiang, G Li, C Qian, K TangIJCAI 2018, 2-2, 2018201
40
2018
Distributed Pareto Optimization for Subset Selection.
C Qian, G Li, C Feng, K TangIJCAI, 1492-1498, 2018201
13
2018
Relief R-CNN: Utilizing convolutional features for fast object detection
G Li, J Liu, C Jiang, L Zhang, M Lin, K TangInternational Symposium on Neural Networks, 38-394, 2017201
6
2017
Accelerate proposal generation in R-CNN methods for fast pedestrian extraction
J Wang, G LiThe Electronic Library 37 (3), 35-53, 2019201
4
2019
Learning to solve capacitated arc routing problems by policy gradient
H Li, G Li2019 IEEE Congress on Evolutionary Computation (CEC), 1291-1298, 2019201
4
2019
Relief impression image detection: Unsupervised extracting objects directly from feature arrangements of deep cnn
G Li, J Liu, C Jiang, K TangarXiv preprint arXiv:1601.06719, 2016201
4
2016
Multi‐objective evolutionary optimization for hardware‐aware neural network pruning
W Hong, G Li, S Liu, P Yang, K TangFundamental Research, 2022202
3
2022
Stage-wise magnitude-based pruning for recurrent neural networks
G Li, P Yang, C Qian, R Hong, K TangIEEE Transactions on Neural Networks and Learning Systems, 2022202
3
2022
Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer
P Yang, L Zhang, H Liu, G LiarXiv preprint arXiv:305.03463, 030
2
2023
Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing
J Cao, G Li, P YangInternational Conference on Bio-Inspired Computing: Theories and …, 2022202
1
2022
Relief r-cnn: Utilizing convolutional feature interrelationship for fast object detection deployment
G Li, J Liu, C Jiang, L Zhang, K Tang, Z ZhuarXiv preprint arXiv:60.0679, 20620
1
2016

Referred From: https://scholar.google.com/citations?user=Pdj79icAAAAJ&hl=en

Cited by
Citations 231
h-index 5
i10-index 4
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