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Xingwei Wang

Northeastern University, College of Software, Shenyang, China

32 papers at tracked venues · 26 at CORE A* · active 2024–2026

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Venues

AAAI ×8WWW ×5CIKM ×3ICML ×3SIGIR ×3ACL ×2NeurIPS ×2ICCV ×1ICLR ×1IJCAI ×1NAACL ×1RecSys ×1SIGKDD ×1

Frequent coauthors

Yizhou Dang
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Enneng Yang
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Chu Zhao
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Yejiang Wang
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Meixia Wang
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Fei Li
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Run Ling
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Pengxiang Lan
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Yuhai Zhao
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Tianxin Han
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Haidong Kang
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Yuting Liu
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Papers

  1. CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
    ACL 2026 ·
    Tianxin Han
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  2. Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning
    WWW 2026 ·
    Meixia Wang
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  3. Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion
    WWW 2026 ·
    Fei Li
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  4. MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
    AAAI 2026 ·
    Run Ling
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  5. Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
    SIGIR 2026 ·
    Yizhou Dang
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  6. RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
    AAAI 2026 ·
    Run Ling
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  7. Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
    AAAI 2026 ·
    Meixia Wang
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  8. Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation
    WWW 2026 ·
    Yizhou Dang
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  9. Augmenting Sequential Recommendation with Balanced Relevance and Diversity
    AAAI 2025 ·
    Yizhou Dang
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  10. Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
    ICCV 2025 ·
    Haidong Kang
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  11. CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
    AAAI 2025 ·
    Yuting Liu
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  12. Coloring Learning for Heterophilic Graph Representation
    NeurIPS 2025 ·
    Miaomiao Huang
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  13. Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
    NeurIPS 2025 ·
    Enneng Yang
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  14. Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
    SIGIR 2025 ·
    Yizhou Dang
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  15. Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation
    SIGIR 2025 ·
    Fei Li
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  16. Discovering Group Collapser for Network Resilience
    CIKM 2025 ·
    Guozhang Sun
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  17. Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
    WWW 2025 ·
    Chu Zhao
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  18. EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
    AAAI 2025 ·
    Pengxiang Lan
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  19. Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
    NAACL 2025 ·
    Pengxiang Lan
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  20. Equivalence is All: A Unified View for Self-supervised Graph Learning
    ICML 2025 ·
    Yejiang Wang
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  21. GRIT: An Accurate and Efficient Graph Stream Summarization for Temporal Query
    CIKM 2025 ·
    Jingxian Hu
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  22. Graph Contrastive Learning with Progressive Augmentations
    SIGKDD 2025 ·
    Yuhai Zhao
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  23. Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
    WWW 2025 ·
    Chu Zhao
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  24. Hybrid2: Distributed GNN Training System Enhanced by Dual-Hybrid for Sampling and Loading
    CIKM 2025 ·
    Chu Zhao
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  25. Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
    ACL 2025 ·
    Haoyu Xu
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  26. Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
    AAAI 2025 ·
    Shuwei Gong
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  27. N2GON: Neural Networks for Graph-of-Net with Position Awareness
    ICML 2025 ·
    Yejiang Wang
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  28. AdaMerging: Adaptive Model Merging for Multi-Task Learning
    ICLR 2024 ·
    Enneng Yang
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  29. Limited-Supervised Multi-Label Learning with Dependency Noise
    AAAI 2024 ·
    Yejiang Wang
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  30. Repeated Padding for Sequential Recommendation
    RecSys 2024 ·
    Yizhou Dang
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  31. Representation Surgery for Multi-Task Model Merging
    ICML 2024 ·
    Enneng Yang
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  32. Towards Robust Multi-Label Learning against Dirty Label Noise
    IJCAI 2024 ·
    Yuhai Zhao
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