Yining Ma

According to our database, Yining Ma authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient Neural Collaborative Search for Pickup and Delivery Problems.

Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu, Jianhua Xiao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems.

Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee

IEEE Trans. Neural Networks Learn. Syst., November, 2024

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 Trans. Syst. Man Cybern. Syst., July, 2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.

Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

CoRR, 2024

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation.

Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong

CoRR, 2024

Large Language Model with Graph Convolution for Recommendation.

Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun

CoRR, 2024

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios.

Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Disentangled Multi-interest Representation Learning for Sequential Recommendation.

Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning.

Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning.

Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles.

Yue-Jiao Gong, Ting Huang, Yining Ma, Sang-Woon Jeon, Jun Zhang

IEEE Trans. Intell. Transp. Syst., April, 2023

FedHQL: Federated Heterogeneous Q-Learning.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement.

Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt.

Yining Ma, Zhiguang Cao, Yeow Meng Chee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedHQL: Federated Heterogeneous Q-Learning.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

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 Trans. Cybern., 2022

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.

Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Neural Neighborhood Search for Pickup and Delivery Problems.

Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

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 Trans. Veh. Technol., 2019

2018

Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy.

Xin-Yi Hu, Yue-Jiao Gong, Xin-yuan Zhang, Yining Ma, Jun Zhang

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018