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Rui Zhang

Huazhong University of Science and Technology, School of Computer Science and Techology, Wuhan, China

24 papers at tracked venues · 19 at CORE A* · active 2024–2026

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Venues

AAAI ×5WWW ×5WSDM ×3NeurIPS ×2SIGKDD ×2ACL ×1ACM MM ×1CIKM ×1ECCV ×1ICDE ×1SIGIR ×1SIGMOD ×1

Frequent coauthors

Yichen Li
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Xiaoquan Yi
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Yao Wu
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Qiyu Qin
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Haozhao Wang
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Guanghao Meng
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Jie Yang
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Xingyu Lu
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Tu Gu
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Jiyuan Yang
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Kexin Zhang
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Haojie Wei
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Papers

  1. Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Recommendation
    SIGIR 2026 ·
    Yao Wu
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  2. Data-Centric Sequential Recommendation with Relation-Augmented Generation
    AAAI 2026 ·
    Yichen Li
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  3. UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
    ACL 2026 ·
    Xiaoquan Yi
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  4. Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
    AAAI 2026 ·
    Qiyu Qin
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  5. pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning
    WWW 2026 ·
    Haozhao Wang
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  6. ChatbotID: Identifying Chatbots with Granger Causality Test
    NeurIPS 2025 ·
    Xiaoquan Yi
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  7. EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
    AAAI 2025 ·
    Guanghao Meng
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  8. Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
    WWW 2025 ·
    Jie Yang
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  9. ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences
    SIGKDD 2025 ·
    Xingyu Lu
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  10. Resource-Constrained Federated Continual Learning: What Does Matter?
    NeurIPS 2025 ·
    Yichen Li
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  11. BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
    SIGMOD 2024 ·
    Tu Gu
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  12. Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
    WSDM 2024 ·
    Jiyuan Yang
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  13. IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
    WSDM 2024 ·
    Kexin Zhang
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  14. Interactive 3D Object Detection with Prompts
    ECCV 2024 · Rui Zhang
  15. MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation
    ACM MM 2024 ·
    Haojie Wei
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  16. MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities
    AAAI 2024 ·
    Yangning Li
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  17. Multimodal Pretraining and Generation for Recommendation: A Tutorial
    WWW 2024 ·
    Jieming Zhu
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  18. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
    SIGKDD 2024 ·
    Qijiong Liu
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  19. PMG : Personalized Multimodal Generation with Large Language Models
    WWW 2024 ·
    Xiaoteng Shen
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  20. Pre-trained Online Contrastive Learning for Insurance Fraud Detection
    AAAI 2024 · Rui Zhang
  21. RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
    WWW 2024 ·
    Yushen Li
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  22. Separation Is for Better Reunion: Data Lake Storage at Huawei
    ICDE 2024 ·
    Xin Tang
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  23. UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
    CIKM 2024 ·
    Boqi Dai
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  24. User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
    WSDM 2024 ·
    Hengchang Hu
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