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2020 – today
- 2025
[c13]Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton, Mengjie Zhang:
Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. EuroGP 2025: 240-256- [c12]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. ICLR 2025 - 2024
- [j8]Hengzhe Zhang, Qi Chen
, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25(1): 2 (2024) - [j7]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. IEEE Trans. Evol. Comput. 28(5): 1455-1469 (2024) - [j6]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. IEEE Trans. Evol. Comput. 28(5): 1484-1498 (2024) - [j5]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. IEEE Trans. Evol. Comput. 28(6): 1689-1703 (2024) - [c11]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP 2024: 142-158 - [c10]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO 2024 - [c9]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. GECCO Companion 2024: 65-66 - [c8]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. PPSN (1) 2024: 201-220 - [i2]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR abs/2405.06869 (2024) - 2023
- [j4]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 62-63 (2023) - [c7]Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu:
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. ACL (Findings) 2023: 5000-5015 - [c6]Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP 2023: 84-100 - [c5]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50 - [c4]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO 2023: 1194-1202 - [c3]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) 2023: 385-397 - 2022
- [j3]Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang:
PS-Tree: A piecewise symbolic regression tree. Swarm Evol. Comput. 71: 101061 (2022) - [j2]Hengzhe Zhang, Aimin Zhou, Hu Zhang:
An Evolutionary Forest for Regression. IEEE Trans. Evol. Comput. 26(4): 735-749 (2022) - [i1]Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu:
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. CoRR abs/2206.14268 (2022) - 2021
- [c2]Hengzhe Zhang, Aimin Zhou:
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. IJCNN 2021: 1-8 - 2020
- [j1]Tonglin Liu, Hengzhe Zhang, Hu Zhang, Aimin Zhou:
Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming. IEEE Access 8: 74782-74792 (2020) - [c1]Hu Zhang, Hengzhe Zhang, Aimin Zhou:
A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. SMC 2020: 585-591
Coauthor Index
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