Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem. - Qiang Lu 005; Jun Ren; Zhiguang Wang (Comput. Intell. Neurosci., 2016)

Space partition based gene expression programming for symbolic regression. - Qiang Lu 005; Shuo Zhou; Fan Tao; Zhiguang Wang (GECCO (Companion), 2019)

Extracting Chinese Domain-specific Open Entity and Relation by Using Learning Patterns. - Hongying Wen; Zhiguang Wang; Qiang Lu 005 (ACM TUR-C, 2020)

Trajectory splicing. - Qiang Lu 005; Rencai Wang; Bin Yang 002; Zhiguang Wang (Knowl. Inf. Syst., 2020)

Adversarial bandit gene expression programming for symbolic regression. - Congwen Xu; Qiang Lu 005; Jake Luo; Zhiguang Wang (GECCO Companion, 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 005 (ICCSE, 2021)

Enhancing gene expression programming based on space partition and jump for symbolic regression. - Qiang Lu 005; Shuo Zhou; Fan Tao; Jake Luo; Zhiguang Wang (Inf. Sci., 2021)

Incorporating Actor-Critic in Monte Carlo tree search for symbolic regression. - Qiang Lu 005; Fan Tao; Shuo Zhou; Zhiguang Wang (Neural Comput. Appl., 2021)

Taylor genetic programming for symbolic regression. - Baihe He; Qiang Lu 005; Qingyun Yang; Jake Luo; Zhiguang Wang (GECCO, 2022)

Exploring hidden semantics in neural networks with symbolic regression. - Yuanzhen Luo; Qiang Lu 005; Xilei Hu; Jake Luo; Zhiguang Wang (GECCO, 2022)

Nesterov Adam Iterative Fast Gradient Method for Adversarial Attacks. - Cheng Chen; Zhiguang Wang; Yongnian Fan; Xue Zhang; Dawei Li; Qiang Lu 005 (ICANN (1), 2022)

Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View. - Yongnian Fan; Zhiguang Wang; Cheng Chen; Xue Zhang; Qiang Lu 005 (ICANN (3), 2022)

AB-GEP: Adversarial bandit gene expression programming for symbolic regression. - Qiang Lu 005; Congwen Xu; Jake Luo; Zhiguang Wang (Swarm Evol. Comput., 2022)

Differentiable Neural Network for Assembling Blocks. - Zhiwei Liu; Qiang Lu 005; Yibo Zhao; Yanhong Zhao; Jake Luo (ECAI, 2024)

An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought. - Chunhao Lu; Qiang Lu 005; Jake Luo (ECCV (67), 2024)

Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics. - Mingcai Yuan; Qiang Lu 005; Xianhao Zeng; Jake Luo; Dawei Li (IJCNN, 2024)

Symbol Graph Genetic Programming for Symbolic Regression. - Jinglu Song; Qiang Lu 005; Bozhou Tian; Jingwen Zhang; Jake Luo; Zhiguang Wang (PPSN (1), 2024)

Prove Symbolic Regression is NP-hard by Symbol Graph. - Jinglu Song; Qiang Lu 005; Bozhou Tian; Jingwen Zhang; Jake Luo; Zhiguang Wang (CoRR, 2024)

Benchmarking Large Language Models from Open and Closed Source Models to Apply Data Annotation for Free-Text Criteria in Healthcare. - Ali Nemati; Mohammad Assadi Shalmani; Qiang Lu 005; Jake Luo (Future Internet, 2025)

Deep Differentiable Symbolic Regression Neural Network. - Qiang Lu 005; Yuanzhen Luo; Haoyang Li; Jake Luo; Zhiguang Wang (Neurocomputing, 2025)

Discovering Acoustic Impedance Inversion Equation. - Baimou Li; Qiang Lu 005; Jake Luo; Zhiguang Wang (IEEE Trans. Geosci. Remote. Sens., 2025)