A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. - Hu Zhang 002; Hengzhe Zhang; Aimin Zhou (SMC, 2020)

Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming. - Tonglin Liu; Hengzhe Zhang; Hu Zhang 002; Aimin Zhou (IEEE Access, 2020)

RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. - Hengzhe Zhang; Aimin Zhou (IJCNN, 2021)

BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. - Shibo Hao; Bowen Tan; Kaiwen Tang; Hengzhe Zhang; Eric P. Xing; Zhiting Hu (CoRR, 2022)

PS-Tree: A piecewise symbolic regression tree. - Hengzhe Zhang; Aimin Zhou; Hong Qian; Hu Zhang 002 (Swarm Evol. Comput., 2022)

An Evolutionary Forest for Regression. - Hengzhe Zhang; Aimin Zhou; Hu Zhang 002 (IEEE Trans. Evol. Comput., 2022)

BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. - Shibo Hao; Bowen Tan; Kaiwen Tang; Bin Ni; Xiyan Shao; Hengzhe Zhang; Eric P. Xing; Zhiting Hu (ACL (Findings), 2023)

MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. - Hengzhe Zhang; Qi Chen 002; Alberto Tonda; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2023)

A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. - Hengzhe Zhang; Aimin Zhou; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2023)

Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PRICAI (2), 2023)

MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2023)

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2024)

Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2024)

A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO Companion, 2024)

P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PPSN (1), 2024)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CoRR, 2024)

A geometric semantic macro-crossover operator for evolutionary feature construction in regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (Genet. Program. Evolvable Mach., 2024)

Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. - Hengzhe Zhang; Aimin Zhou; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CEC, 2025)

Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. - Hengzhe Zhang; Alberto Tonda; Qi Chen 002; Bing Xue 001; Evelyne Lutton; Mengjie Zhang 001 (EuroGP, 2025)

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (ICLR, 2025)

Call for Action: towards the next generation of symbolic regression benchmark. - Guilherme Seidyo Imai Aldeia; Hengzhe Zhang; Geoffrey F. Bomarito; Miles D. Cranmer; Alcides Fonseca; Bogdan Burlacu; William G. La Cava; Fabrício Olivetti de França (CoRR, 2025)

LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2025)

Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning. - Wenchuan Zhang; Jingru Guo; Hengzhe Zhang; Penghao Zhang; Jie Chen; Shuwan Zhang; Zhang Zhang; Yuhao Yi; Hong Bu (CoRR, 2025)