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Ruibin Bai

12 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

AAAI ×3ACM MM ×2GECCO ×2CVPR ×1ICCV ×1IJCAI ×1NeurIPS ×1PPSN ×1

Frequent coauthors

Chengtai Li
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Xingke Song
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Bizhu Wu
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Ning Xue
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Leshan Tan
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Yuyang Zhou
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Wentao He
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Jialu Zhang
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Papers

  1. Accelerating Lagrangian Relaxation via Dual-Guided Genetic Search for UAV Trajectory and Camera Orientation Optimization
    PPSN 2026 ·
    Ning Xue
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  2. CEARI: Co-Evolutionary Agents for Reassembling and Inpainting Puzzles with Gaps and Missing Pieces
    ACM MM 2025 ·
    Xingke Song
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  3. DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
    AAAI 2025 ·
    Chengtai Li
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  4. DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
    NeurIPS 2025 ·
    Chengtai Li
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  5. ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
    AAAI 2025 ·
    Xingke Song
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  6. FineMotion: A Dataset and Benchmark with Both Spatial and Temporal Annotation for Fine-Grained Motion Generation and Editing
    ICCV 2025 ·
    Bizhu Wu
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  7. MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities
    CVPR 2025 ·
    Bizhu Wu
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  8. PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling
    GECCO 2025 ·
    Leshan Tan
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  9. SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search
    GECCO 2025 ·
    Yuyang Zhou
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  10. Hierarchical Perceptual and Predictive Analogy-Inference Network for Abstract Visual Reasoning
    ACM MM 2024 ·
    Wentao He
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  11. Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations
    IJCAI 2024 ·
    Chengtai Li
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  12. Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
    AAAI 2024 ·
    Jialu Zhang
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