Zhixing Huang (黄至行)

Zhixing Huang (黄至行)

Post-doctoral Fellow

Publications

Refereed Journal Articles

  1. Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Toward Evolving Dispatching Rules with Flow Control Operations by Grammar-guided Linear Genetic Programming". IEEE Transactions on Evolutionary Computation, 2024. DOI: 10.1109/TEVC.2024.3353207 [pdf]👍
  2. Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Multitask Linear Genetic Programming with Shared Individuals and its Application to Dynamic Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 2023. DOI: 10.1109/TEVC.2023.3263871 [pdf]
  3. Zhixing Huang, Yi Mei, and Jinghui Zhong, “Semantic Linear Genetic Programming for Symbolic Regression,” IEEE Transaction on Cybernetics, pp. 1–14, 2022. [pdf]👍
  4. Jinghui Zhong (my supervisor), Zhixing Huang, Liang Feng, Wan Du, Ying Li. “A Hyper-Heuristic Framework for Lifetime Maximization in Wireless Sensor Networks With A Mobile Sink,” IEEE/CAA Journal of Automatica Sinica, vol. 7, issue 1, pp. 223-236, Jan 2020.[pdf]
  5. Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, and Wolfgang Banzhaf. "Bridging Directed Acyclic Graphs to Linear Representations in Linear Genetic Programming". Genetic Programming and Evolvable Machines, 2024. DOI: 10.1007/s10710-023-09478-8 [pdf]
  6. Zhixing Huang, Jinghui Zhong, Liang Feng, Yi Mei, W. Cai. “A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression,” Soft Computing, vol. 24, issue 10, pp.7523-7539, 2020. [pdf]
  7. Yikai Li, Yongliang Chen, Jinghui Zhong, Zhixing Huang. “Niching particle swarm optimization with equilibrium factor for multi-modal optimization,” Information Sciences, vol. 494, pp. 233-246, 2019. [pdf]
  8. Yulin Lan, Fagui Liu, Zhixing Huang, Wing W. Y. Ng, and Jinghui Zhong, “Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics,” IEEE Transaction on Intelligent Transportation System, vol. 23, no. 1, pp. 84–96, 2022. [pdf]
  9. Jinghui Zhong, Dongrui. Li, Zhixing Huang, Chengyu Lu, and Wentong Cai, “Data-driven Crowd Modeling Techniques: A Survey,” ACM Transactions on Modeling and Computer Simulation, vol. 32, no. 1, pp. 1–33, 2022.[pdf]

Conference Papers

  1. Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling", in Proceedings of the Genetic and Evolutionary Computation Conference, ACM, 2023, pp. 1137–1145. (Best Paper Award)[pdf]
  2. Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling", in Proceedings of the IEEE Symposium Series On Computational Intelligence, Springer, 2022, pp. 496-503.[pdf]
  3. Zhixing Huang, Yi Mei, Fangfang Zhang, and Mengjie Zhang. "Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling". in Proceedings of the Genetic and Evolutionary Computation Conference, ACM, 2022, pp. 955-963. [pdf]
  4. Zhixing Huang, Fangfang Zhang, Yi Mei, and Mengjie Zhang. "An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling". in Proceedings of the European Conference on Genetic Programming, Springer, 2022, pp. 162-178 (Best Paper Award)[pdf]
  5. Zhixing Huang, Yi Mei, and Mengjie Zhang, “Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling,” in Proceedings of IEEE Symposium Series on Computational Intelligence, Dec. 2021, pp. 1–8. [pdf]
  6. Ruihua Zeng, Zhixing Huang, Yongliang Chen, Jinghui Zhong and Liang Feng, "Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming," in Proceedings of IEEE Congress on Evolutionary Computation, 2020, pp. 1-8.[pdf]
  7. Zhixing Huang, Chengyu Lu and Jinghui Zhong, "A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks," in Proceedings of 2019 IEEE Symposium Series on Computational Intelligence, 2019, pp. 1614-1621.[pdf]
  8. Zhixing Huang, Jinghui Zhong, Weili Liu, Zhou Wu, “Multi-Population Genetic Programming with Adaptively Weighted Building Blocks for Symbolic Regression,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 266-267, July 2018.[pdf]
  9. Jinghui Zhong, Yusen Lin, Chenyu Lu, Zhixing Huang. “A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems,” in Proceedings of International Conference on Neural Information Processing, pp. 530-541, 2018.[pdf]
  10. Zhixing Huang, Weili Liu, Jinghui Zhong. “Estimating the Real Positions of Objects in Images by Using Evolutionary Algorithm,” in Proceedings of International Conference on Machine Vision and Information Technology, pp. 34-39, 2017. [pdf]
  11. Ying Li, Zhixing Huang, Jinghui Zhong, Liang Feng. “Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink,” in Proceedings of Asia-Pacific Conference on Simulated Evolution and Learning, pp. 774-785, 2017.[pdf]
  12. Zhiyan Huang, Zhixing Huang, Jiayong Li, Danxia Huang, Junxian Fan, Wing W. Y. Ng. “No-load Backhaul Ratio Reduction by Interactive Routing for Small Goods Delivery with Time Window Constraints,” In Proceedings of 2017 IEEE International Conference on Internet of Things and IEEE Green Computing and Communications and IEEE Cyber, Physical and Social Computing and IEEE Smart Data, pp. 299-305, June 2017.[pdf]

Theses

Patents