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Jingyao Wang

8 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×2ICML ×2ACM MM ×1IJCAI ×1NeurIPS ×1WWW ×1

Frequent coauthors

Jianqi Zhang
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Huijie Guo
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Ziyin Gu
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Wenwen Qiang
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Papers

  1. Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning
    WWW 2026 ·
    Jianqi Zhang
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  2. Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
    AAAI 2026 ·
    Huijie Guo
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  3. Group Causal Policy Optimization for Post-Training Large Language Models
    AAAI 2026 ·
    Ziyin Gu
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  4. Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection
    ACM MM 2025 · Jingyao Wang
  5. Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
    NeurIPS 2025 · Jingyao Wang
  6. On the Out-of-Distribution Generalization of Self-Supervised Learning
    ICML 2025 ·
    Wenwen Qiang
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  7. Towards the Causal Complete Cause of Multi-Modal Representation Learning
    ICML 2025 · Jingyao Wang
  8. Hacking Task Confounder in Meta-Learning
    IJCAI 2024 · Jingyao Wang