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About KGAE Lab

About KGAE Lab

Welcome to KGAE Lab !Laboratory introduction KGAE laboratory currently belongs to the College of information science and engineering, China University of Petroleum (Beijing). The knowledge Graph inte

2021-06-09
Laboratory profile
Instructions
Taylor Genetic Programming for Symbolic Regression

Taylor Genetic Programming for Symbolic Regression

Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, and Zhiguang Wang. Received: 24 March 2022 / Accepted: 14 April 2022. TaylorGPThe paper Taylor Genetic Programming for Symbolic Regression has been accep

2022-04-14
Evolutionary computation and Symbolic regression
Symbolic regression
Exploring Hidden Semantics in Neural Networks with Symbolic Regression

Exploring Hidden Semantics in Neural Networks with Symbolic Regression

Yuanzhen Luo, Qiang Lu (luqiang@cup.edu.cn), Xilei Hu, Jake Luo and Zhiguang Wang. Received: 24 March 2022 / A

2022-03-30
Evolutionary computation and Symbolic regression
Symbolic regression, neural networks
Trajectory Splicing

Trajectory Splicing

Qiang Lu · Rencai Wang · Bin Yang · Zhiguang Wang. Received: 23 September 2018 / 30 June 2019 AbstractWith continued development of location-based systems, large amounts of trajectories becomeavailab

2021-06-18
Trajectory Analysis and Mining
Spatiotemporal Trajectory
A semantic annotation based software knowledge sharing space

A semantic annotation based software knowledge sharing space

Qiang Lu; Ming Chen; Zhiguang Wang. Received: 2008 AbstractOver the past several years, the software engineering needs large number of developers as the scale of software increasing. Therefore, the c

2021-06-18
knowledge Graphs and Intelligent Question Answering
Natural Language Processing
An ant colony optimization algorithm for the one-dimensional cutting stock problem with multiple stock lengths

An ant colony optimization algorithm for the one-dimensional cutting stock problem with multiple stock lengths

Qiang Lu, Zhiguang Wang, Ming Chen. Received: 2008 AbstractThe Cutting Stock Problem (CSP) with multiple stock lengths is the NP-hard combinatorial optimization problem. In recent years, the CSP is r

2021-06-18
Evolutionary computation and Symbolic regression
Evolutionary Algorithm
Using genetic programming with prior formula knowledge to solve symbolic regression problem. Computational intelligence and neuroscience

Using genetic programming with prior formula knowledge to solve symbolic regression problem. Computational intelligence and neuroscience

Qiang Lu, Jun Ren, and Zhiguang Wang. Received: 28 May 2015 / Accepted: 5 October 2015. AbstractA researcher can infer mathematical expressions of functions quickly by using his professional knowledg

2021-06-18
Evolutionary computation and Symbolic regression
Symbolic regression
Enhancing Gene Expression Programming based on Space Partition and Jump for Symbolic Regression, Information Sciences

Enhancing Gene Expression Programming based on Space Partition and Jump for Symbolic Regression, Information Sciences

Lu Q, Zhou S, Tao F, Luo J, Wang ZG. Received: 23 April 2019 / Accepted: 18 August 2020. AbstractWhen solving a symbolic regression problem, the gene expression programming (GEP)algorithm could fall

2021-06-18
Evolutionary computation and Symbolic regression
Symbolic regression
Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression

Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression

Qiang Lu, Fan Tao, Shuo Zhou & Zhiguang Wang. Received: 29 May 2020 / Accepted: 11 December 2020. AbstractMost traditional genetic programming methods that handle symbolic regression are random al

2021-06-09
Evolutionary computation and Symbolic regression
Symbolic regression

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