Hengzhe Zhang

35 papers A* 2A 2B 6Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization.
CoRR
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2026 A* conf
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning.
AAAI
Wenchuan Zhang, Jingru Guo, Hengzhe Zhang, Penghao Zhang, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2026 J jnl
SRLinear: Lightweight Long-Term Time Series Forecasting via Symbolic Regression.
IEEE Trans. Artif. Intell.
Hongbo Zhao, Hengzhe Zhang, Chutian Tian, Zhi Wei, Aimin Zhou
2025 B conf
A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression.
CEC
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025 J jnl
Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression.
Genet. Program. Evolvable Mach.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025 — conf
Call for Action: towards the next generation of symbolic regression benchmark.
GECCO Companion
Guilherme Seidyo Imai Aldeia, Hengzhe Zhang, Geoffrey F. Bomarito, Miles D. Cranmer, Alcides Fonseca, Bogdan Burlacu, William G. La Cava, Fabrício Olivetti de França
2025 J jnl
Call for Action: towards the next generation of symbolic regression benchmark.
CoRR
Guilherme Seidyo Imai Aldeia, Hengzhe Zhang, Geoffrey F. Bomarito, Miles D. Cranmer, Alcides Fonseca, Bogdan Burlacu, William G. La Cava, Fabrício Olivetti de França
2025 — conf
Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression.
GECCO Companion
Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton
2025 J jnl
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression.
CoRR
Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang
2025 B conf
Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression.
EuroGP
Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton, Mengjie Zhang
2025 J jnl
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning.
CoRR
Wenchuan Zhang, Jingru Guo, Hengzhe Zhang, Penghao Zhang, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2025 A* conf
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression.
ICLR
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025 J jnl
SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation.
IEEE Trans. Evol. Comput.
Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, Chak Shing Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, Hengzhe Zhang, Grant Dick, Alessandro Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava
2025 — conf
When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification.
GECCO Companion
Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton
2024 J jnl
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 — conf
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press].
GECCO Companion
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
A geometric semantic macro-crossover operator for evolutionary feature construction in regression.
Genet. Program. Evolvable Mach.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 A conf
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression.
GECCO
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 B conf
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression.
EuroGP
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 — conf
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization.
PPSN (1)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024 J jnl
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
2024 J jnl
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression.
CoRR
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 A conf
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression.
GECCO
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 — conf
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction.
PRICAI (2)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 — conf
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models.
ACL (Findings)
Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu
2023 — conf
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press].
GECCO Companion
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
2023 J jnl
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained].
IEEE Comput. Intell. Mag.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023 B conf
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning.
EuroGP
Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2022 J jnl
An Evolutionary Forest for Regression.
IEEE Trans. Evol. Comput.
Hengzhe Zhang, Aimin Zhou, Hu Zhang
2022 J jnl
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models.
CoRR
Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu
2022 J jnl
PS-Tree: A piecewise symbolic regression tree.
Swarm Evol. Comput.
Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang
2021 B conf
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning.
IJCNN
Hengzhe Zhang, Aimin Zhou
2020 B conf
A Multi-metric Selection Strategy for Evolutionary Symbolic Regression.
SMC
Hu Zhang, Hengzhe Zhang, Aimin Zhou
2020 J jnl
Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming.
IEEE Access
Tonglin Liu, Hengzhe Zhang, Hu Zhang, Aimin Zhou