PPaperPicks

Yichao Wang

Noah's Ark Lab, Huawei, Shenzhen, China

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

Venues

Frequent coauthors

Xiangyu Zhao
×19
Ruiming Tang
×18
Huifeng Guo
×17
Pengyue Jia
×15
Xiaopeng Li
×13
Yingyi Zhang
×7
Wenlin Zhang
×7
Yong Liu
×7
Xiangyang Li
×7
Zhaocheng Du
×7
Yuhao Wang
×7
Derong Xu
×6

Papers

  1. Bridging Personalization and AI: From RAG to Agent
    SIGIR 2026 ·
    Pengyue Jia
    ,
    Xiaopeng Li
    ,
    Derong Xu
    ,
    Yi Wen
    ,
    Yingyi Zhang
    ,
    Wenlin Zhang
    ,
    Wanyu Wang
    , Yichao Wang,
    Yong Liu
    ,
    Xiangyu Zhao
  2. Counteracting the Delayed Conversions in OCPC with Survival Analysis
    WSDM 2026 ·
    Leping Zhang
    ,
    Chenxuan He
    ,
    Xiao Zhang
    , Yichao Wang,
    Tengxiang Zhang
    ,
    Zhenhua Dong
    ,
    Jun Xu
  3. Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research
    WWW 2026 ·
    Kuicai Dong
    ,
    Shurui Huang
    ,
    Fangda Ye
    ,
    Wei Han
    ,
    Zhi Zhang
    ,
    Dexun Li
    ,
    Wenjun Li
    ,
    Qu Yang
    ,
    Gang Wang
    , Yichao Wang,
    Chen Zhang
    ,
    Yong Liu
  4. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
    SIGKDD 2026 ·
    Wenlin Zhang
    ,
    Xiangyang Li
    ,
    Qiyuan Ge
    ,
    Kuicai Dong
    ,
    Pengyue Jia
    ,
    Xiaopeng Li
    ,
    Zijian Zhang
    ,
    Maolin Wang
    , Yichao Wang,
    Huifeng Guo
    ,
    Ruiming Tang
    ,
    Xiangyu Zhao
  5. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
    ACL 2026 ·
    Sheng Zhang
    ,
    Junyi Li
    ,
    Yingyi Zhang
    ,
    Pengyue Jia
    , Yichao Wang,
    Xiaowei Qian
    ,
    Wenlin Zhang
    ,
    Maolin Wang
    ,
    Yong Liu
    ,
    Xiangyu Zhao
  6. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
    AAAI 2026 ·
    Yingyi Zhang
    ,
    Pengyue Jia
    ,
    Derong Xu
    ,
    Yi Wen
    ,
    Xianneng Li
    , Yichao Wang,
    Wenlin Zhang
    ,
    Xiaopeng Li
    ,
    Weinan Gan
    ,
    Huifeng Guo
    ,
    Yong Liu
    ,
    Xiangyu Zhao
  7. Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
    SIGIR 2026 ·
    Xiaopeng Li
    ,
    Wenlin Zhang
    ,
    Yingyi Zhang
    ,
    Pengyue Jia
    ,
    Yejing Wang
    , Yichao Wang,
    Yong Liu
    ,
    Huifeng Guo
    ,
    Xiangyu Zhao
  8. To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
    WWW 2026 ·
    Wenlin Zhang
    ,
    Kuicai Dong
    ,
    Junyi Li
    ,
    Yingyi Zhang
    ,
    Xiaopeng Li
    ,
    Pengyue Jia
    ,
    Yi Wen
    ,
    Derong Xu
    ,
    Maolin Wang
    , Yichao Wang,
    Yong Liu
    ,
    Xiangyu Zhao
  9. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
    ACL 2025 ·
    Pengyue Jia
    ,
    Derong Xu
    ,
    Xiaopeng Li
    ,
    Zhaocheng Du
    ,
    Xiangyang Li
    , Yichao Wang,
    Yuhao Wang
    ,
    Qidong Liu
    ,
    Maolin Wang
    ,
    Huifeng Guo
    ,
    Ruiming Tang
    ,
    Xiangyu Zhao
  10. HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation
    WWW 2025 ·
    Xu Huang
    ,
    Xiaolong Chen
    , Yichao Wang,
    Weiwen Liu
    ,
    Yang Yang
    ,
    Xingmei Wang
    ,
    Defu Lian
    ,
    Ruiming Tang
  11. Joint Modeling in Deep Recommender Systems
    WWW 2025 ·
    Pengyue Jia
    ,
    Jingtong Gao
    ,
    Yejing Wang
    ,
    Yuhao Wang
    ,
    Xiaopeng Li
    ,
    Qidong Liu
    , Yichao Wang,
    Bo Chen
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  12. LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
    WWW 2025 ·
    Jingtong Gao
    ,
    Bo Chen
    ,
    Xiangyu Zhao
    ,
    Weiwen Liu
    ,
    Xiangyang Li
    , Yichao Wang,
    Wanyu Wang
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  13. LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
    SIGKDD 2025 ·
    Yingyi Zhang
    ,
    Pengyue Jia
    ,
    Xianneng Li
    ,
    Derong Xu
    ,
    Maolin Wang
    , Yichao Wang,
    Zhaocheng Du
    ,
    Huifeng Guo
    ,
    Yong Liu
    ,
    Ruiming Tang
    ,
    Xiangyu Zhao
  14. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
    NeurIPS 2025 ·
    Wenlin Zhang
    ,
    Xiangyang Li
    ,
    Kuicai Dong
    , Yichao Wang,
    Pengyue Jia
    ,
    Xiaopeng Li
    ,
    Yingyi Zhang
    ,
    Derong Xu
    ,
    Zhaocheng Du
    ,
    Huifeng Guo
    ,
    Ruiming Tang
    ,
    Xiangyu Zhao
  15. Prompt Tuning as User Inherent Profile Inference Machine
    CIKM 2025 ·
    Yusheng Lu
    ,
    Zhaocheng Du
    ,
    Xiangyang Li
    ,
    Pengyue Jia
    ,
    Yejing Wang
    ,
    Weiwen Liu
    , Yichao Wang,
    Huifeng Guo
    ,
    Ruiming Tang
    ,
    Zhenhua Dong
    ,
    Yongrui Duan
    ,
    Xiangyu Zhao
  16. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
    CIKM 2025 ·
    Pengyue Jia
    ,
    Zhaocheng Du
    , Yichao Wang,
    Xiangyu Zhao
    ,
    Xiaopeng Li
    ,
    Yuhao Wang
    ,
    Qidong Liu
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  17. SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
    WWW 2025 ·
    Jingtong Gao
    ,
    Zhaocheng Du
    ,
    Xiaopeng Li
    , Yichao Wang,
    Xiangyang Li
    ,
    Huifeng Guo
    ,
    Ruiming Tang
    ,
    Xiangyu Zhao
  18. Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
    CIKM 2025 ·
    Xiaopeng Li
    ,
    Jingtong Gao
    ,
    Pengyue Jia
    ,
    Xiangyu Zhao
    , Yichao Wang,
    Wanyu Wang
    ,
    Yejing Wang
    ,
    Yuhao Wang
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  19. D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
    AAAI 2024 ·
    Pengyue Jia
    , Yichao Wang,
    Shanru Lin
    ,
    Xiaopeng Li
    ,
    Xiangyu Zhao
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  20. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    WSDM 2024 ·
    Yuhao Wang
    ,
    Ziru Liu
    , Yichao Wang,
    Xiangyu Zhao
    ,
    Bo Chen
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  21. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
    SIGKDD 2024 ·
    Pengyue Jia
    ,
    Yejing Wang
    ,
    Zhaocheng Du
    ,
    Xiangyu Zhao
    , Yichao Wang,
    Bo Chen
    ,
    Wanyu Wang
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  22. HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
    CIKM 2024 ·
    Jingtong Gao
    ,
    Bo Chen
    ,
    Menghui Zhu
    ,
    Xiangyu Zhao
    ,
    Xiaopeng Li
    ,
    Yuhao Wang
    , Yichao Wang,
    Huifeng Guo
    ,
    Ruiming Tang
  23. IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
    WSDM 2024 ·
    Kexin Zhang
    , Yichao Wang,
    Xiu Li
    ,
    Ruiming Tang
    ,
    Rui Zhang
  24. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
    CIKM 2024 ·
    Yuhao Wang
    , Yichao Wang,
    Zichuan Fu
    ,
    Xiangyang Li
    ,
    Wanyu Wang
    ,
    Yuyang Ye
    ,
    Xiangyu Zhao
    ,
    Huifeng Guo
    ,
    Ruiming Tang
  25. M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
    WWW 2024 ·
    Jiachen Zhu
    , Yichao Wang,
    Jianghao Lin
    ,
    Jiarui Qin
    ,
    Ruiming Tang
    ,
    Weinan Zhang
    ,
    Yong Yu