All Stories

  1. Call for Action: towards the next generation of symbolic regression benchmark

    Article • July 2025, ACM (Association for Computing Machinery)

    Hengzhe Zhang, Alcides Fonseca, Fabricio O Franca

  2. When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification

    Article • July 2025, ACM (Association for Computing Machinery)

    Hengzhe Zhang

  3. Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression

    Article • July 2025, ACM (Association for Computing Machinery)

    Hengzhe Zhang

  4. Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression

    Article • July 2024, ACM (Association for Computing Machinery)

    Hengzhe Zhang, Wolfgang Banzhaf

  5. A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]

    Article • July 2024, ACM (Association for Computing Machinery)

    Hengzhe Zhang, Wolfgang Banzhaf

  6. A geometric semantic macro-crossover operator for evolutionary feature construction in regression

    Article • Genetic Programming and Evolvable Machines, December 2023, Springer Science + Business Media

    Hengzhe Zhang

  7. Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]

    Article • July 2023, ACM (Association for Computing Machinery)

    Hengzhe Zhang

  8. A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression

    Article • July 2023, ACM (Association for Computing Machinery)

    Wolfgang Banzhaf, Hengzhe Zhang

  9. A Multi-metric Selection Strategy for Evolutionary Symbolic Regression

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Hengzhe Zhang