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Minghao Yin

Northeast Normal University School of Information Science and Technology, Changchun, China

19 papers at tracked venues · 13 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Distributed Framework for Compiling and Reasoning with d-DNNF
  2. Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human-AI Collaboration
  3. Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics
  4. ManCC: A Task-Anchored Benchmark for Manchu-Classical Chinese Cross-Lingual Modeling
  5. An Embarrassingly Parallel Model Counter
  6. Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
  7. DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem
  8. Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer
  9. Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
  10. Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
  11. Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
    NeurIPS 2025 · Minghao Yin
  12. Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract)
  13. Hierarchical Reinforcement Learning for Point of Interest Recommendation
  14. Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
  15. IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM
    CVPR 2024 · Minghao Yin
  16. LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework
  17. MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)
  18. Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem
  19. Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation