Guiying Li

According to our database, Guiying Li authored at least 18 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Causal Inference-Based Large-Scale Multiobjective Optimization.

Bingdong Li, Yanting Yang, Peng Yang, Guiying Li, Ke Tang, Aimin Zhou

IEEE Trans. Evol. Comput., April, 2025

Hardware-Aware DNN Compression for Homogeneous Edge Devices.

Kunlong Zhang, Guiying Li, Ning Lu, Peng Yang, Ke Tang

CoRR, January, 2025

2024

Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks.

Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer.

Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li

Sci. China Inf. Sci., 2024

2023

Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer.

Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li

CoRR, 2023

Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks.

Shun Lu, Cheng Chen, Kunlong Zhang, Yang Zheng, Zheng Hu, Wenjing Hong, Guiying Li, Xin Yao

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

2022

Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding.

Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing.

Jianqi Cao, Guiying Li, Peng Yang

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2020

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions.

Yunwen Lei, Ting Hu, Guiying Li, Ke Tang

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

Accelerate proposal generation in R-CNN methods for fast pedestrian extraction.

Juncheng Wang, Guiying Li

Electron. Libr., 2019

Learning to Solve Capacitated Arc Routing Problems by Policy Gradient.

Han Li, Guiying Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Distributed Pareto Optimization for Subset Selection.

Chao Qian, Guiying Li, Chao Feng, Ke Tang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Optimization based Layer-wise Magnitude-based Pruning for DNN Compression.

Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error.

Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Dynamic and Adaptive Threshold for DNN Compression from Scratch.

Chunhui Jiang, Guiying Li, Chao Qian

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection.

Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, Minlong Lin, Ke Tang

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN.

Guiying Li, Junlong Liu, Chunhui Jiang, Ke Tang

CoRR, 2016

A trajectory-based approach for object detection from video.

Chunhui Jiang, Guiying Li, Junlong Liu, Yunfeng Liu, Ke Tang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016