Ma, Yining

16 publications

AAAI 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning Hongshu Guo, Zeyuan Ma, Jiacheng Chen, Yining Ma, Zhiguang Cao, Xinglin Zhang, Yue-Jiao Gong

NeurIPS 2025 DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization Hongshu Guo, Zeyuan Ma, Yining Ma, Xinglin Zhang, Wei-Neng Chen, Yue-Jiao Gong

ICLR 2025 Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling Sirui Li, Wenbin Ouyang, Yining Ma, Cathy Wu

NeurIPS 2025 MetaBox-V2: A Unified Benchmark Platform for Meta-Black-Box Optimization Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Wenjie Qiu, Sijie Ma, Hongqiao Lian, Jiajun Zhan, Kaixu Chen, Chen Wang, Zhiyang Huang, Zechuan Huang, Guojun Peng, Ran Cheng, Yining Ma

NeurIPS 2025 Probing Neural Combinatorial Optimization Models Zhiqin Zhang, Yining Ma, Zhiguang Cao, Hoong Chuin Lau

ICML 2025 SHIELD: Multi-Task Multi-Distribution Vehicle Routing Solver with Sparsity and Hierarchy Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee

NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

ICML 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi

ICLR 2024 SYMBOL: Generating Flexible Black-Box Optimizers Through Symbolic Equation Learning Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong

NeurIPS 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural K-Opt Yining Ma, Zhiguang Cao, Yeow Meng Chee

NeurIPS 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

NeurIPS 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang

IJCAI 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

NeurIPS 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

NeurIPS 2021 Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low

NeurIPS 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