Genetic Programming Bibliography entries for Jun Zhang

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GP coauthors/coeditors: Junlan Dong, Jinghui Zhong, Wei-Neng Chen, Wei-Li Liu, Yue-Jiao Gong, Zhi-Hui Zhan, Yun Li, Qingfu Zhang, Jing-Jing Li, Yi-Chao Huang, Xinxin Xu, Jian-Yu Li, Sam Tak Wu Kwong, Xuebin Li, Zhao Jin, Shengqun Li, Daiwei Yu, Wenjin Zhang, Peng Liang, Jianhua Guo, Huimin Zhao, yanqiao lv, wei-li liu, Yusheng Wu, Yu-Hong Sun, Ting Huang, Qin-zhe Xiao, Min-Yi Zheng, Yueheng Wang, Liang Feng,

Genetic Programming Articles by Jun Zhang

1. Jinghui Zhong and Junlan Dong and Wei-Li Liu and Liang Feng and Jun Zhang. Multiform Genetic Programming Framework for Symbolic Regression Problems. IEEE Transactions on Evolutionary Computation, 29(2):429-443, 2025. details

2. Junlan Dong and Jinghui Zhong and Wei-Li Liu and Jun Zhang. Evolving Equation Learner For Symbolic Regression. IEEE Transactions on Evolutionary Computation, 29(5):1745-1759, 2025. details

3. Wei-Li Liu and Jinghui Zhong and Peng Liang and Jianhua Guo and Huimin Zhao and Jun Zhang. Towards explainable traffic signal control for urban networks through genetic programming. Swarm and Evolutionary Computation, 88:101588, 2024. details

4. Xuebin Li and Zhao Jin and Shengqun Li and Daiwei Yu and Jun Zhang and Wenjin Zhang. Li-ion battery state of health prediction through metaheuristic algorithms and genetic programming. Energy Reports, 12:368-380, 2024. details

5. Junlan Dong and Jinghui Zhong and Wei-Neng Chen and Jun Zhang. An Efficient Federated Genetic Programming Framework for Symbolic Regression. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(3):858-871, 2023. details

6. Yue-Jiao Gong and Wei-Neng Chen and Zhi-Hui Zhan and Jun Zhang and Yun Li and Qingfu Zhang and Jing-Jing Li. Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. Applied Soft Computing, 34:286-300, 2015. details

7. Min-Yi Zheng and Yueheng Wang and Jinghui Zhong and Jun Zhang. Discovering Infinite Recursive Conjectures Through Genetic Programming. IEEE Transactions on Evolutionary Computation. Early Access. details

8. Yu-Hong Sun and Ting Huang and Jing-Hui Zhong and Jun Zhang and Yue-Jiao Gong. Symbolic Regression-Assisted Offline Data-Driven Evolutionary Computation. IEEE Transactions on Evolutionary Computation. Early Access. details

Genetic Programming conference papers by Jun Zhang

• yanqiao lv and wei-li liu and jinghui zhong and Yusheng Wu and Jun Zhang. Transformer Guided Multi-Fitness Genetic Programming for Symbolic Regression. In Nelishia Pillay and Gabriel Kronberger and Leonardo Trujillo and Ting Hu and Sebastian Rojas Gonzalez and Saul Calderon Ramirez and Stephan Winkler and Yazmin Maldonado and James McDermott and Jose Manuel Munoz Contreras and Giorgia Nadizar and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Mario Andres Munoz and Oliver Cuate and Daniel Hernandez and Yanan Sun and Edgar Galvan and Aniko Ekart and Nadarajen Veerapen editors, Proceedings of the 2026 Genetic and Evolutionary Computation Conference, San Jose, Costa Rica, 2026. Association for Computing Machinery. details

• Yi-Chao Huang and Xin-Xin Xu and Jian-Yu Li and Sam Kwong and Zhi-Hui Zhan and Jun Zhang. Generative Evolutionary Computation: An Automatic Gene Targeting Differential Evolution Via Genetic Programming. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, pages 623-626, Malaga, Spain, 2025. Association for Computing Machinery. details

• Qin-zhe Xiao and Jinghui Zhong and Wen-Neng Chen and Zhi-Hui Zhan and Jun Zhang. Indicator-based Multi-objective Genetic Programming for Workflow Scheduling Problem. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 217-218, Berlin, Germany, 2017. ACM. details