Yining Ma

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Combinatorial Optimization

Routing Problem

Reinforcement Learning

Top Venues

IEEE Trans. Cybern.

Publications

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 (2024)
Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. KDD (2024)
Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD (2024)
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 (2024)
Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. CoRR (2024)
Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. GECCO (2024)
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. IEEE Trans. Syst. Man Cybern. Syst. 54 (7) (2024)
Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun
Large Language Model with Graph Convolution for Recommendation. CoRR (2024)
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)
Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. CoRR (2024)
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 (2024)
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS (2023)
Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR (2023)
Yue-Jiao Gong, Ting Huang, Yining Ma, Sang-Woon Jeon, Jun Zhang
MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low
FedHQL: Federated Heterogeneous Q-Learning. AAMAS (2023)
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 (2023)
Yining Ma, Zhiguang Cao, Yeow Meng Chee
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. CoRR (2023)
Yining Ma, Zhiguang Cao, Yeow Meng Chee
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt. NeurIPS (2023)
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)
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer
FedHQL: Federated Heterogeneous Q-Learning. CoRR (2023)
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. CoRR (2022)
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. IEEE Trans. Cybern. 52 (12) (2022)
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. IJCAI (2022)
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)
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. CoRR (2022)
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)
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)