Publications
$\ast$ means equal contribution, $\dagger$ indicates corresponding author
-> Machine Learning for Optimization
- Conference papers
[VRP] Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning,
Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025. [Accepted][VRP] Learning to Handle Complex Constraints for Vehicle Routing Problems,
Jieyi Bi, Yining Ma $\dagger$, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang.
Advances in Neural Information Processing Systems (NeurIPS), 2024. [Code & Paper][VRP] MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts,
Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi.
International Conference on Machine Learning (ICML), pp. 61804-61824, 2024. [Code & Paper][VRP] Hierarchical Neural Constructive Solver for Real-world TSP Scenarios,
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 884-895, 2024. [Paper][BBO] Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning,
Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong.
Genetic and Evolutionary Computation Conference (GECCO), pp. 1497-1505, 2024. [Paper][BBO] SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning,
Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong.
International Conference on Learning Representations (ICLR), 2024. [Code & Paper][VRP] Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt,
Yining Ma, Zhiguang Cao, Yeow Meng Chee.
Advances in Neural Information Processing Systems (NeurIPS), pp. 49555-49578, 2023. [Code & Paper][BBO] [Benchmark] MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning,
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao.
Advances in Neural Information Processing Systems (NeurIPS), Oral, pp. 10775-10795, 2023. [Code & Paper][MOCOP] Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement,
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang.
Advances in Neural Information Processing Systems (NeurIPS), pp. 39176-39188, 2023. [Code & Paper][VRP] Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation,
Jieyi Bi $\ast$, Yining Ma $\ast$, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee.
Advances in Neural Information Processing Systems (NeurIPS), Spotlight, pp. 31226-31238, 2022. [Code & Paper][VRP] Efficient Neural Neighborhood Search for Pickup and Delivery Problems,
Yining Ma $\ast$, Jingwen Li $\ast$, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee.
International Joint Conference on Artificial Intelligence (IJCAI), pp. 4776-4784, 2022. [Code & Paper][VRP] Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer,
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang.
Advances in Neural Information Processing Systems (NeurIPS), pp. 11096-11107, 2021. [Code & Paper]
- Journal papers
[VRP] Efficient Neural Collaborative Search for Pickup and Delivery Problems,
Detian Kong $\ast$, Yining Ma $\ast$, Zhiguang Cao, Tianhu Yu, and Jianhua Xiao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 12, pp. 11019-11034, 2024. [Code & Paper][BBO] Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution,
Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong.
IEEE Transactions on Systems, Man and Cybernetics: Systems (SMCA), vol. 54, no. 7, pp. 4247-4259, 2024. [Paper][COP] [Invited Review] A Review on Learning to Solve Combinatorial Optimisation Problems in Manufacturing,
Cong Zhang $\ast$, Yaoxin Wu $\ast$, Yining Ma $\ast$, Wen Song, Le Zhang, Zhiguang Cao, Jie Zhang.
IET Collaborative Intelligent Manufacturing (CIM), vol. 5, no. 1, pp. e12072, 2023. [Paper][VRP] Learning Feature Embedding Refiner for Solving Vehicle Routing Problems,
Jingwen Li $\ast$, Yining Ma $\ast$, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 11, pp. 15279-15291, 2023. [Code & Paper][VRP] Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem,
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang.
IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 12, pp. 13572-13585, 2022. [Code & Paper]
-> General Machine Learning / Optimization
- Conference papers
[RecSys] Disentangled Multi-interest Representation Learning for Sequential Recommendation,
Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 677-688, 2024. [Paper][FedRL] FedHQL: Federated Heterogeneous Q-Learning,
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer.
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Extended Abstract, pp. 2810–2812, 2023. [Paper][FedRL] Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee,
Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Kian Hsiang Low.
Advances in Neural Information Processing Systems (NeurIPS), pp. 1007-1021, 2021. [Code & Paper][Deployment] Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy,
Xin-Yi Hu, Yue-Jiao Gong, Xin-Yuan Zhang, Yining Ma, Jun Zhang.
International Symposium on Neural Networks (ISNN), pp. 459-467, 2018. [Paper]
- Journal papers
[MARL] Decision-making with Speculative Opponent Models,
Jing Sun, Shuo Chen, Cong Zhang, Yining Ma, Jie Zhang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. [Code & Paper][Planning] MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles,
Yue-Jiao Gong, Ting Huang, Yining Ma, Sang-Woon Jeon, Jun Zhang.
IEEE Transactions on Intelligent Transportation Systems (TITS), vol. 24, no. 4, pp. 3714-3727, 2023. [Code & Paper][Planning] Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone,
Yining Ma, Yue-Jiao Gong, Chu-Feng Xiao, Ying Gao, Jun Zhang.
IEEE Transactions on Vehicular Technology (TVT), vol. 68, no. 1, pp. 141-154, 2019. [Paper]
-> Pre-prints
[COP] [Benchmark] RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark [arXiv],
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park.[LLM] LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation [arXiv],
Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma $\dagger$, Yue-Jiao Gong $\dagger$.[LLM] Large Language Model with Graph Convolution for Recommendation [arXiv],
Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun.
Patent
- Intelligent video content server deployment method system,
China Invention Grant (No. CN108616401B), 2018. [Link]