Likang Wu

Venues

Frequent coauthors

Papers

1. Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation
   WWW 2026 ·

   Jiale Huang

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2. Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations
   WWW 2026 ·

   Minmao Wang

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3. TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction
   WSDM 2026 ·

   Minmao Wang

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4. Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
   ICML 2025 ·

   Zhong Guan

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5. Enhancing Code Search Intent with Programming Context Exploration
   WSDM 2025 ·

   Yanmin Dong

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6. Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
   NAACL 2025 ·

   Liping Liu

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7. Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective
   SIGKDD 2025 ·

   Xianquan Wang

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8. Multi-View Empowered Structural Graph Wordification for Language Models
   AAAI 2025 ·

   Zipeng Liu

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9. TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting
   IJCAI 2025 ·

   Huibo Xu

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10. A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
    AAAI 2024 ·

    Wenshuo Chao

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11. Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation
    SIGIR 2024 ·

    Qingyang Mao

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12. Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
    WWW 2024 ·

    Yongqiang Han

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13. Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
    AAAI 2024 · Likang Wu
14. FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning
    CIKM 2024 ·

    Zhijun Dong

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15. I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
    EMNLP 2024 ·

    Xianquan Wang

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