| MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Z Ma, H Guo, J Chen, Z Li, G Peng, YJ Gong, Y Ma, Z Cao Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 4 | 2023 |
| Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution H Guo, Y Ma, Z Ma, J Chen, X Zhang, Z Cao, J Zhang, YJ Gong IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 2 | 2024 |
| Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning J Chen, Z Ma, H Guo, Y Ma, J Zhang, Y Gong International Conference on Learning Representations (ICLR), 2024 | 2 | 2024 |
| An efficient computational approach for automatic itinerary planning on web servers Z Ma, H Guo, Y Gui, YJ Gong Proceedings of the Genetic and Evolutionary Computation Conference, 991-999, 2021 | 2 | 2021 |
| Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning Z Ma, J Chen, H Guo, Y Ma, YJ Gong arXiv preprint arXiv:2404.08239, 2024 | | 2024 |
| RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning H Lian, Z Ma, H Guo, T Huang, YJ Gong arXiv preprint arXiv:2404.08242, 2024 | | 2024 |
| LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation Z Ma, H Guo, J Chen, G Peng, Z Cao, Y Ma, YJ Gong arXiv preprint arXiv:2403.01131, 2024 | | 2024 |
Yue-Jiao Gong (龚月姣)South China University of TechnologyVerified email at scut.edu.cn
