Hang Zhou

Venues

Frequent coauthors

Papers

1. GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
   AAAI 2026 ·

   Chenglong Wang

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2. Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction
   AAAI 2026 · Hang Zhou
3. LLM Data Selection and Utilization via Dynamic Bi-level Optimization
   ICML 2025 ·

   Yang Yu

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4. MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
   NeurIPS 2025 ·

   Chenglong Wang

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5. PhySense: Sensor Placement Optimization for Accurate Physics Sensing
   NeurIPS 2025 ·

   Yuezhou Ma

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6. Real-World Automated Vehicle Longitudinal Stability Analysis: Controller Design and Field Test
   ICRA 2025 ·

   Ke Ma

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7. SaD: A Scenario-Aware Discriminator for Speech Enhancement
   InterSpeech 2025 ·

   Xihao Yuan

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8. Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
   EMNLP 2025 ·

   Kaiyan Chang

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9. Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
   ICML 2025 ·

   Huakun Luo

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10. Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
    ICML 2025 · Hang Zhou
11. ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
    AAAI 2024 ·

    Chenglong Wang

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12. Hybrid Alignment Training for Large Language Models
    ACL 2024 ·

    Chenglong Wang

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13. Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
    NeurIPS 2024 · Hang Zhou
14. Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization
    ICDM 2024 · Hang Zhou