PPaperPicks

Wanyu Wang

28 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

ACL ×6SIGIR ×5AAAI ×4CIKM ×4SIGKDD ×4WWW ×3IJCAI ×1NeurIPS ×1

Frequent coauthors

Maolin Wang
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Pengyue Jia
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Ziwei Liu
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Jingyu Peng
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Xiaopeng Li
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Derong Xu
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Zichuan Fu
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Langming Liu
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Yuhao Wang
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Mengyang Ma
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Yuqing Fu
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Xiao Han
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Papers

  1. BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations
    WWW 2026 ·
    Mengyang Ma
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  2. Bridging Personalization and AI: From RAG to Agent
    SIGIR 2026 ·
    Pengyue Jia
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  3. LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
    SIGIR 2026 ·
    Ziwei Liu
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  4. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression
    ACL 2026 ·
    Jingyu Peng
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  5. MTA: A Merge-then-Adapt Framework for Personalized Large Language Models
    ACL 2026 ·
    Xiaopeng Li
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  6. ProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory
    SIGIR 2026 ·
    Derong Xu
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  7. Renormalization Group Guided Tensor Network Structure Search
    AAAI 2026 ·
    Maolin Wang
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  8. SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation
    WWW 2026 ·
    Maolin Wang
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  9. SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
    ACL 2026 ·
    Yuqing Fu
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  10. DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
    IJCAI 2025 ·
    Maolin Wang
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  11. Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
    NeurIPS 2025 ·
    Xiao Han
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  12. FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
    SIGKDD 2025 ·
    Maolin Wang
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  13. GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
    SIGKDD 2025 ·
    Sheng Zhang
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  14. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    WWW 2025 ·
    Jingtong Gao
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  15. LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
    AAAI 2025 ·
    Qidong Liu
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  16. Model Merging for Knowledge Editing
    ACL 2025 ·
    Zichuan Fu
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  17. Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
    SIGKDD 2025 ·
    Langming Liu
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  18. Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
    SIGIR 2025 ·
    Yuhao Wang
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  19. RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba
    AAAI 2025 ·
    Andong Lu
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  20. SIGMA: Selective Gated Mamba for Sequential Recommendation
    AAAI 2025 ·
    Ziwei Liu
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  21. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
    SIGIR 2025 ·
    Maolin Wang
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  22. Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    CIKM 2025 ·
    Xiaopeng Li
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  23. Stepwise Reasoning Disruption Attack of LLMs
    ACL 2025 ·
    Jingyu Peng
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  24. Training-free LLM Merging for Multi-task Learning
    ACL 2025 ·
    Zichuan Fu
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  25. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·
    Pengyue Jia
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  26. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
    CIKM 2024 ·
    Derong Xu
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  27. Efficient and Robust Regularized Federated Recommendation
    CIKM 2024 ·
    Langming Liu
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  28. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
    CIKM 2024 ·
    Yuhao Wang
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