Qiang Lu

Orcid: 0000-0001-8217-2305

Affiliations:
  • China University of Petroleum-Beijing, Department of Computer Science, Beijing, China


According to our database1, Qiang Lu authored at least 13 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
AB-GEP: Adversarial bandit gene expression programming for symbolic regression.
Swarm Evol. Comput., 2022

Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Exploring hidden semantics in neural networks with symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Taylor genetic programming for symbolic regression.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression.
Neural Comput. Appl., 2021

Enhancing gene expression programming based on space partition and jump for symbolic regression.
Inf. Sci., 2021

A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Adversarial bandit gene expression programming for symbolic regression.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Trajectory splicing.
Knowl. Inf. Syst., 2020

Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019
Space partition based gene expression programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2016
Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.
Comput. Intell. Neurosci., 2016


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