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Yichao Wang

Noah's Ark Lab, Huawei, Shenzhen, China

25 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

WWW ×7CIKM ×5SIGKDD ×3WSDM ×3AAAI ×2ACL ×2SIGIR ×2NeurIPS ×1

Frequent coauthors

Pengyue Jia
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Wenlin Zhang
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Jingtong Gao
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Yingyi Zhang
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Xiaopeng Li
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Yuhao Wang
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Leping Zhang
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Kuicai Dong
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Sheng Zhang
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Xu Huang
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Yusheng Lu
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Kexin Zhang
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Papers

  1. Bridging Personalization and AI: From RAG to Agent
    SIGIR 2026 ·
    Pengyue Jia
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  2. Counteracting the Delayed Conversions in OCPC with Survival Analysis
    WSDM 2026 ·
    Leping Zhang
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  3. Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research
    WWW 2026 ·
    Kuicai Dong
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  4. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
    SIGKDD 2026 ·
    Wenlin Zhang
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  5. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
    ACL 2026 ·
    Sheng Zhang
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  6. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
    AAAI 2026 ·
    Yingyi Zhang
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  7. Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
    SIGIR 2026 ·
    Xiaopeng Li
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  8. To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
    WWW 2026 ·
    Wenlin Zhang
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  9. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    ACL 2025 ·
    Pengyue Jia
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  10. HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation
    WWW 2025 ·
    Xu Huang
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  11. Joint Modeling in Deep Recommender Systems
    WWW 2025 ·
    Pengyue Jia
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  12. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    WWW 2025 ·
    Jingtong Gao
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  13. LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
    SIGKDD 2025 ·
    Yingyi Zhang
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  14. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    NeurIPS 2025 ·
    Wenlin Zhang
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  15. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·
    Yusheng Lu
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  16. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    CIKM 2025 ·
    Pengyue Jia
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  17. SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
    WWW 2025 ·
    Jingtong Gao
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  18. Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    CIKM 2025 ·
    Xiaopeng Li
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  19. D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
    AAAI 2024 ·
    Pengyue Jia
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  20. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    WSDM 2024 ·
    Yuhao Wang
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  21. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·
    Pengyue Jia
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  22. HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
    CIKM 2024 ·
    Jingtong Gao
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  23. IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
    WSDM 2024 ·
    Kexin Zhang
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  24. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
    CIKM 2024 ·
    Yuhao Wang
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  25. M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
    WWW 2024 ·
    Jiachen Zhu
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