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Guiying Li
Guiying Li
Southern University of Science and Technology
Bestätigte E-Mail-Adresse bei sustech.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Stochastic gradient descent for nonconvex learning without bounded gradient assumptions
Y Lei, T Hu, G Li, K Tang
IEEE transactions on neural networks and learning systems 31 (10), 4394-4400, 2019
1192019
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression.
G Li, C Qian, C Jiang, X Lu, K Tang
IJCAI 330, 2383-2389, 2018
672018
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error.
C Jiang, G Li, C Qian, K Tang
IJCAI 2018, 2-2, 2018
452018
Distributed Pareto Optimization for Subset Selection.
C Qian, G Li, C Feng, K Tang
IJCAI, 1492-1498, 2018
132018
Reducing idleness in financial cloud via multi-objective evolutionary reinforcement learning based load balancer
P Yang, L Zhang, H Liu, G Li
arXiv preprint arXiv:2305.03463, 2023
92023
Stage-wise magnitude-based pruning for recurrent neural networks
G Li, P Yang, C Qian, R Hong, K Tang
IEEE Transactions on Neural Networks and Learning Systems, 2022
72022
Learning to solve capacitated arc routing problems by policy gradient
H Li, G Li
2019 IEEE Congress on Evolutionary Computation (CEC), 1291-1298, 2019
72019
Relief R-CNN: Utilizing convolutional features for fast object detection
G Li, J Liu, C Jiang, L Zhang, M Lin, K Tang
International Symposium on Neural Networks, 386-394, 2017
62017
Multi‐objective evolutionary optimization for hardware‐aware neural network pruning
W Hong, G Li, S Liu, P Yang, K Tang
Fundamental Research, 2022
52022
Accelerate proposal generation in R-CNN methods for fast pedestrian extraction
J Wang, G Li
The Electronic Library 37 (3), 435-453, 2019
52019
Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer
P Yang, L Zhang, H Liu, G Li
Science China Information Sciences 67 (2), 1-21, 2024
32024
Relief impression image detection: Unsupervised extracting objects directly from feature arrangements of deep cnn
G Li, J Liu, C Jiang, K Tang
arXiv preprint arXiv:1601.06719, 2016
32016
Reinforcement learning based vertical scaling for hybrid deployment in cloud computing
J Cao, G Li, P Yang
International Conference on Bio-Inspired Computing: Theories and …, 2022
12022
Relief r-cnn: Utilizing convolutional feature interrelationship for fast object detection deployment
G Li, J Liu, C Jiang, L Zhang, K Tang, Z Zhu
arXiv preprint arXiv:1601.06719, 2016
12016
Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks
S Lu, C Chen, K Zhang, Y Zheng, Z Hu, W Hong, G Li, X Yao
International Conference on Swarm Intelligence, 127-138, 2023
2023
Method, system, server, and storage medium for logistics management based on QR code
G Li, P Yang, K Tang, X Yao
US Patent 11,631,261, 2023
2023
OCET: One-Dimensional Convolution Embedding Transformer for Stock Trend Prediction
P Yang, L Fu, J Zhang, G Li
International Conference on Bio-Inspired Computing: Theories and …, 2022
2022
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding
L Tang, X Li, J Zhang, G Li, P Yang, K Tang
International Conference on Bio-Inspired Computing: Theories and …, 2022
2022
Dynamic and Adaptive Threshold for DNN Compression from Scratch
C Jiang, G Li, C Qian
Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017
2017
A trajectory-based approach for object detection from video
C Jiang, G Li, J Liu, Y Liu, K Tang
2016 International Joint Conference on Neural Networks (IJCNN), 2887-2893, 2016
2016
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