| Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone Y Ma, Y Gong, C Xiao, Y Gao, J Zhang IEEE Transactions on Vehicular Technology 68 (1), 141-154, 2019 | 184 | 2019 |
| Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Y Ma, J Li, Z Cao, W Song, L Zhang, Z Chen, J Tang Advances in Neural Information Processing Systems (NeurIPS) 34, 11096-11107, 2021 | 156 | 2021 |
| Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee X Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low Advances in Neural Information Processing Systems (NeurIPS) 34, 1007-1021, 2021 | 86 | 2021 |
| Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation J Bi, Y Ma, J Wang, Z Cao, J Chen, Y Sun, YM Chee Advances in Neural Information Processing Systems (NeurIPS) 35, 31226-31238, 2022 | 63 | 2022 |
| Efficient Neural Neighborhood Search for Pickup and Delivery Problems Y Ma, J Li, Z Cao, W Song, H Guo, Y Gong, YM Chee International Joint Conference on Artificial Intelligence (IJCAI) 31, 4776-4784, 2022 | 52 | 2022 |
| A Review on Learning to Solve Combinatorial Optimisation Problems in Manufacturing C Zhang, Y Wu, Y Ma, W Song, L Zhang, Z Cao, J Zhang IET Collaborative Intelligent Manufacturing 5 (1), e12072, 2023 | 40 | 2023 |
| Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural K-opt Y Ma, Z Cao, YM Chee Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 34 | 2023 |
| RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark F Berto, C Hua, J Park, L Luttmann, Y Ma, F Bu, J Wang, H Ye, M Kim, ... arXiv preprint arXiv:2306.17100, 2024 | 28* | 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 | 18 | 2024 |
| MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles Y Gong, T Huang, Y Ma, S Jeon, J Zhang IEEE Transactions on Intelligent Transportation Systems 24 (4), 3714-3727, 2023 | 18 | 2023 |
| MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts J Zhou, Z Cao, Y Wu, W Song, Y Ma, J Zhang, C Xu International Conference on Machine Learning (ICML), 2024 | 17 | 2024 |
| 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 | 16 | 2023 |
| Learning Feature Embedding Refiner for Solving Vehicle Routing Problems J Li, Y Ma, Z Cao, Y Wu, W Song, J Zhang, YM Chee IEEE Transactions on Neural Networks and Learning Systems, 2023 | 14 | 2023 |
| Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement J Chen, Z Zhang, Z Cao, Y Wu, Y Ma, T Ye, J Wang Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 13 | 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 | 12 | 2024 |
| Large Language Model with Graph Convolution for Recommendation Y Du, Z Wang, Z Sun, H Chua, H Liu, Z Wu, Y Ma, J Zhang, Y Sun arXiv preprint arXiv:2402.08859, 2024 | 11 | 2024 |
| FedHQL: Federated Heterogeneous Q-Learning FX Fan, Y Ma, Z Dai, C Tan, BKH Low, R Wattenhofer International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2023 | 11 | 2023 |
| SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning J Chen, Z Ma, H Guo, Y Ma, J Zhang, YJ Gong International Conference on Learning Representations (ICLR), 2024 | 9 | 2024 |
| Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning Z Ma, J Chen, H Guo, Y Ma, YJ Gong Genetic and Evolutionary Computation Conference (GECCO), 2024 | 5 | 2024 |
| Hierarchical Neural Constructive Solver for Real-world TSP Scenarios YL Goh, Z Cao, Y Ma, Y Dong, MH Dupty, WS Lee 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 | 4 | 2024 |
Zhiguang CaoSingapore Management UniversityEmail verificata su smu.edu.sg