Yining Ma

Venues

Frequent coauthors

Papers

1. ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
   AAAI 2025 ·

   Hongshu Guo

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2. DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
   NeurIPS 2025 ·

   Hongshu Guo

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3. Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
   SIGKDD 2025 ·

   Qi Li

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4. Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
   ICLR 2025 ·

   Sirui Li

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5. MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
   NeurIPS 2025 ·

   Zeyuan Ma

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6. Probing Neural Combinatorial Optimization Models
   NeurIPS 2025 ·

   Zhiqin Zhang

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7. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
   SIGKDD 2025 ·

   Federico Berto

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8. SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
   ICML 2025 ·

   Yong Liang Goh

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9. Disentangled Multi-interest Representation Learning for Sequential Recommendation
   SIGKDD 2024 ·

   Yingpeng Du

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10. Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
    SIGKDD 2024 ·

    Yong Liang Goh

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11. Learning to Handle Complex Constraints for Vehicle Routing Problems
    NeurIPS 2024 ·

    Jieyi Bi

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12. MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
    ICML 2024 ·

    Jianan Zhou

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13. SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
    ICLR 2024 ·

    Jiacheng Chen

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