| 2026 | AAAI | 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 |
| 2025 | CEC | A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2025 | EUROGP | Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. | Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton, Mengjie Zhang |
| 2025 | GECCO | 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, Fabrcio Olivetti de Frana |
| 2025 | GECCO | Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression. | Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton |
| 2025 | GECCO | When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification. | Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton |
| 2025 | ICLR | RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | EUROGP | Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | GECCO | Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | GECCO | A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | PPSN | P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | ACL | 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 |
| 2023 | EUROGP | MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. | Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | GECCO | A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | GECCO | Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. | Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | PRICAI | Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2021 | IJCNN | RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. | Hengzhe Zhang, Aimin Zhou |
| 2020 | SMC | A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. | Hu Zhang, Hengzhe Zhang, Aimin Zhou |