Mingzhong Wang

Venues

Frequent coauthors

Papers

1. From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
   AAAI 2026 ·

   Meiju Li

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2. Generative Branching for Mixed-Integer Linear Programming
   AAAI 2026 ·

   Ruobing Wang

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3. Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
   AAAI 2026 ·

   Min Wang

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4. Advancing Confidence Calibration and Quantification in Medication Recommendation
   SIGKDD 2025 ·

   Qianyu Chen

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5. Robust Deep Signed Graph Clustering via Weak Balance Theory
   WWW 2025 ·

   Peiyao Zhao

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6. Improving GNN Calibration with Discriminative Ability: Insights and Strategies
   AAAI 2024 ·

   Yujie Fang

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7. MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
   AAAI 2024 ·

   Min Wang

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