Qiang Lu

According to our database, Qiang Lu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Prove Symbolic Regression is NP-hard by Symbol Graph.

Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang

CoRR, 2024

Symbol Graph Genetic Programming for Symbolic Regression.

Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics.

Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li

Proceedings of the International Joint Conference on Neural Networks, 2024

An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought.

Chunhao Lu, Qiang Lu, Jake Luo

Proceedings of the Computer Vision - ECCV 2024, 2024

Differentiable Neural Network for Assembling Blocks.

Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2022

AB-GEP: Adversarial bandit gene expression programming for symbolic regression.

Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang

Swarm Evol. Comput., 2022

Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View.

Yongnian Fan, Zhiguang Wang, Cheng Chen, Xue Zhang, Qiang Lu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks.

Cheng Chen, Zhiguang Wang, Yongnian Fan, Xue Zhang, Dawei Li, Qiang Lu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Exploring hidden semantics in neural networks with symbolic regression.

Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Taylor genetic programming for symbolic regression.

Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang

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.

Qiang Lu, Fan Tao, Shuo Zhou, Zhiguang Wang

Neural Comput. Appl., 2021

Enhancing gene expression programming based on space partition and jump for symbolic regression.

Qiang Lu, Shuo Zhou, Fan Tao, Jake Luo, Zhiguang Wang

Inf. Sci., 2021

A Model of Chinese Named Entity Recognition in the Field of Oil and Gas Exploration Using Domain Dictionary.

Bingxu Liu, Zhiguang Wang, Yize Ding, Qiang Lu

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Adversarial bandit gene expression programming for symbolic regression.

Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Trajectory splicing.

Qiang Lu, Rencai Wang, Bin Yang, Zhiguang Wang

Knowl. Inf. Syst., 2020

Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns.

Hongying Wen, Zhiguang Wang, Qiang Lu

Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019

Space partition based gene expression programming for symbolic regression.

Qiang Lu, Shuo Zhou, Fan Tao, Zhiguang Wang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2016

Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.

Qiang Lu, Jun Ren, Zhiguang Wang

Comput. Intell. Neurosci., 2016