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Yining Ma 0001
Person information
- affiliation: National University of Singapore
Other persons with the same name
- Yining Ma — disambiguation page
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2020 – today
- 2024
- [j6]Detian Kong
, Yining Ma
Efficient Neural Collaborative Search for Pickup and Delivery Problems. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11019-11034 (2024) - [j5]Jingwen Li
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15279-15291 (2024) - [j4]Hongshu Guo
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4247-4259 (2024) - [c14]Zeyuan Ma
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. GECCO 2024 - [c13]Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong:
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. ICLR 2024 - [c12]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. ICML 2024 - [c11]Yingpeng Du
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD 2024: 677-688 - [c10]Yong Liang Goh
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. KDD 2024: 884-895 - [i17]Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong:
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. CoRR abs/2402.02355 (2024) - [i16]Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu
Large Language Model with Graph Convolution for Recommendation. CoRR abs/2402.08859 (2024) - [i15]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong:
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. CoRR abs/2403.01131 (2024) - [i14]Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong:
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. CoRR abs/2403.02131 (2024) - [i13]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong:
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. CoRR abs/2404.08239 (2024) - [i12]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. CoRR abs/2405.01029 (2024) - [i11]Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee:
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. CoRR abs/2408.03585 (2024) - [i10]Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Learning to Handle Complex Constraints for Vehicle Routing Problems. CoRR abs/2410.21066 (2024) - 2023
- [j3]Yue-Jiao Gong
MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. IEEE Trans. Intell. Transp. Syst. 24(4): 3714-3727 (2023) - [c9]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low:
FedHQL: Federated Heterogeneous Q-Learning. AAMAS 2023: 2810-2812 - [c8]Yining Ma, Zhiguang Cao, Yeow Meng Chee:
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. NeurIPS 2023 - [c7]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS 2023 - [c6]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao:
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. NeurIPS 2023 - [i9]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan
FedHQL: Federated Heterogeneous Q-Learning. CoRR abs/2301.11135 (2023) - [i8]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao:
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. CoRR abs/2310.08252 (2023) - [i7]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR abs/2310.15195 (2023) - [i6]Yining Ma, Zhiguang Cao, Yeow Meng Chee
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. CoRR abs/2310.18264 (2023) - 2022
- [j2]Jingwen Li
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 52(12): 13572-13585 (2022) - [c5]Yining Ma
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. IJCAI 2022: 4776-4784 - [c4]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee:
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. NeurIPS 2022 - [i5]Yining Ma, Jingwen Li, Zhiguang Cao
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. CoRR abs/2204.11399 (2022) - [i4]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. CoRR abs/2210.07686 (2022) - 2021
- [c3]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low:
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. NeurIPS 2021: 1007-1021 - [c2]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. NeurIPS 2021: 11096-11107 - [i3]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang:
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer. CoRR abs/2110.02544 (2021) - [i2]Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. CoRR abs/2110.02629 (2021) - [i1]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low:
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. CoRR abs/2110.14074 (2021)
2010 – 2019
- 2019
- [j1]Yining Ma
Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone. IEEE Trans. Veh. Technol. 68(1): 141-154 (2019) - 2018
- [c1]Xin-Yi Hu, Yue-Jiao Gong, Xin-yuan Zhang
Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy. ISNN 2018: 459-467
Coauthor Index
aka: Yuejiao Gong
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last updated on 2024-12-26 01:54 CET by the dblp team
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