| BertNet: Harvesting knowledge graphs with arbitrary relations from pretrained language models S Hao, B Tan, K Tang, B Ni, X Shao, H Zhang, EP Xing, Z Hu arXiv preprint arXiv:2206.14268, 2022 | 75 | 2022 |
| PS-Tree: A piecewise symbolic regression tree H Zhang, A Zhou, H Qian, H Zhang Swarm and Evolutionary Computation 71, 101061, 2022 | 40 | 2022 |
| An evolutionary forest for regression H Zhang, A Zhou, H Zhang IEEE Transactions on Evolutionary Computation 26 (4), 735-749, 2021 | 35 | 2021 |
| SR-Forest: a genetic programming based heterogeneous ensemble learning method H Zhang, A Zhou, Q Chen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 25 | 2023 |
| Interpretable policy derivation for reinforcement learning based on evolutionary feature synthesis H Zhang, A Zhou, X Lin Complex & Intelligent Systems 6, 741-753, 2020 | 22 | 2020 |
| RL-GEP: symbolic regression via gene expression programming and reinforcement learning H Zhang, A Zhou 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 18 | 2021 |
| Modular multi-tree genetic programming for evolutionary feature construction for regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 10 | 2023 |
| A semantic-based hoist mutation operator for evolutionary feature construction in regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 8 | 2023 |
| SRBench++: Principled benchmarking of symbolic regression with domain-expert interpretation FO de Franca, M Virgolin, M Kommenda, MS Majumder, M Cranmer, ... IEEE transactions on evolutionary computation, 2024 | 6 | 2024 |
| Map-elites with cosine-similarity for evolutionary ensemble learning H Zhang, Q Chen, A Tonda, B Xue, W Banzhaf, M Zhang European Conference on Genetic Programming (Part of EvoStar), 84-100, 2023 | 6 | 2023 |
| MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained] H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang IEEE Computational Intelligence Magazine 18 (4), 62-63, 2023 | 5 | 2023 |
| Sharpness-aware minimization for evolutionary feature construction in regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang arXiv preprint arXiv:2405.06869, 2024 | 2 | 2024 |
| A geometric semantic macro-crossover operator for evolutionary feature construction in regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang Genetic Programming and Evolvable Machines 25 (1), 2, 2024 | 1 | 2024 |
| A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 1194-1202, 2023 | 1 | 2023 |
| A Multi-metric Selection Strategy for Evolutionary Symbolic Regression H Zhang, H Zhang, A Zhou 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 1 | 2020 |
| Information fusion in offspring generation: A case study in gene expression programming T Liu, H Zhang, H Zhang, A Zhou IEEE Access 8, 74782-74792, 2020 | 1 | 2020 |
| RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang The Thirteenth International Conference on Learning Representations, 2025 | | 2025 |
| P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang International Conference on Parallel Problem Solving from Nature, 201-220, 2024 | | 2024 |
| A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press] H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | | 2024 |
| Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression H Zhang, Q Chen, B Xue, W Banzhaf, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 998-1006, 2024 | | 2024 |
Qi ChenSenior Lecturer in Artificial Intelligence, Victoria University of Wellington在 ecs.vuw.ac.nz 的电子邮件经过验证
