PPaperPicks

Xingwei Wang

Northeastern University, College of Software, Shenyang, China

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

DBLP profile ↗ORCID 0000-0003-2856-4716 ↗Homepage ↗

Venues

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

Frequent coauthors

Guibing Guo
×19
Jianzhe Zhao
×13
Enneng Yang
×12
Yuhai Zhao
×11
Zhengkui Wang
×10
Yejiang Wang
×8
Yizhou Dang
×8
Yuting Liu
×8
Miaomiao Huang
×7
Wen Shan
×6
Meixia Wang
×5
Yuliang Liang
×5

Papers

  1. CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
    ACL 2026 ·
    Tianxin Han
    ,
    Qing Dong
    , Xingwei Wang,
    Jie Jia
    ,
    Gang Wu
    ,
    Bowen Yang
    ,
    Fu Zhang
  2. Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning
    WWW 2026 ·
    Meixia Wang
    ,
    Yuhai Zhao
    ,
    Zhengkui Wang
    ,
    Fenglong Ma
    ,
    Yejiang Wang
    ,
    Miaomiao Huang
    ,
    Fazal Wahab
    ,
    Wen Shan
    , Xingwei Wang
  3. Lifelong Sequential Recommendation with Adaptive Subsequence Compression and Contextual Fusion
    WWW 2026 ·
    Fei Li
    ,
    Xiaoming Liu
    ,
    Jiayi Luo
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  4. MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
    AAAI 2026 ·
    Run Ling
    ,
    Ke Cao
    ,
    Jian Lu
    ,
    Ao Ma
    ,
    Haowei Liu
    ,
    Runze He
    ,
    Changwei Wang
    ,
    Rongtao Xu
    ,
    Yihua Shao
    ,
    Zhanjie Zhang
    ,
    Peng Wu
    ,
    Guibing Guo
    ,
    Wei Feng
    ,
    Zheng Zhang
    ,
    Jingjing Lv
    ,
    Junjie Shen
    ,
    Ching Law
    , Xingwei Wang
  5. Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
    SIGIR 2026 ·
    Yizhou Dang
    ,
    Yifan Wu
    ,
    Minhan Huang
    ,
    Chuang Zhao
    ,
    Lianbo Ma
    ,
    Guibing Guo
    , Xingwei Wang,
    Zhu Sun
  6. RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
    AAAI 2026 ·
    Run Ling
    ,
    Wenji Wang
    ,
    Yuting Liu
    ,
    Guibing Guo
    ,
    Haowei Liu
    ,
    Jian Lu
    ,
    Quanwei Zhang
    ,
    Yexing Xu
    ,
    Shuo Lu
    ,
    Yun Wang
    ,
    Yihua Shao
    ,
    Linying Jiang
    , Xingwei Wang
  7. Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
    AAAI 2026 ·
    Meixia Wang
    ,
    Yuhai Zhao
    ,
    Zhengkui Wang
    ,
    Yejiang Wang
    ,
    Miaomiao Huang
    ,
    Fenglong Ma
    ,
    Fazal Wahab
    ,
    Wen Shan
    , Xingwei Wang
  8. Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation
    WWW 2026 ·
    Yizhou Dang
    ,
    Zhifu Wei
    ,
    Minhan Huang
    ,
    Lianbo Ma
    ,
    Jianzhe Zhao
    ,
    Guibing Guo
    , Xingwei Wang
  9. Augmenting Sequential Recommendation with Balanced Relevance and Diversity
    AAAI 2025 ·
    Yizhou Dang
    ,
    Jiahui Zhang
    ,
    Yuting Liu
    ,
    Enneng Yang
    ,
    Yuliang Liang
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  10. Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
    ICCV 2025 ·
    Haidong Kang
    ,
    Lianbo Ma
    ,
    Pengjun Chen
    ,
    Guo Yu
    , Xingwei Wang,
    Min Huang
  11. CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
    AAAI 2025 ·
    Yuting Liu
    ,
    Jinghao Zhang
    ,
    Yizhou Dang
    ,
    Yuliang Liang
    ,
    Qiang Liu
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  12. Coloring Learning for Heterophilic Graph Representation
    NeurIPS 2025 ·
    Miaomiao Huang
    ,
    Yuhai Zhao
    ,
    Daniel Zhengkui Wang
    ,
    Fenglong Ma
    ,
    Yejiang Wang
    ,
    Meixia Wang
    , Xingwei Wang
  13. Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
    NeurIPS 2025 ·
    Enneng Yang
    ,
    Anke Tang
    ,
    Li Shen
    ,
    Guibing Guo
    , Xingwei Wang,
    Xiaochun Cao
    ,
    Jie M. Zhang
  14. Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
    SIGIR 2025 ·
    Yizhou Dang
    ,
    Yuting Liu
    ,
    Enneng Yang
    ,
    Minhan Huang
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  15. Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation
    SIGIR 2025 ·
    Fei Li
    ,
    Qingyun Gao
    ,
    Yizhou Dang
    ,
    Enneng Yang
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  16. Discovering Group Collapser for Network Resilience
    CIKM 2025 ·
    Guozhang Sun
    ,
    Haoyuan Wang
    ,
    Yuhai Zhao
    ,
    Zhengkui Wang
    ,
    Yuan Li
    , Xingwei Wang
  17. Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
    WWW 2025 ·
    Chu Zhao
    ,
    Enneng Yang
    ,
    Yuliang Liang
    ,
    Jianzhe Zhao
    ,
    Guibing Guo
    , Xingwei Wang
  18. EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
    AAAI 2025 ·
    Pengxiang Lan
    ,
    Enneng Yang
    ,
    Yuting Liu
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  19. Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
    NAACL 2025 ·
    Pengxiang Lan
    ,
    Haoyu Xu
    ,
    Enneng Yang
    ,
    Yuliang Liang
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  20. Equivalence is All: A Unified View for Self-supervised Graph Learning
    ICML 2025 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    ,
    Zhengkui Wang
    ,
    Ling Li
    ,
    Jiapu Wang
    ,
    Fangting Li
    ,
    Miaomiao Huang
    ,
    Shirui Pan
    , Xingwei Wang
  21. GRIT: An Accurate and Efficient Graph Stream Summarization for Temporal Query
    CIKM 2025 ·
    Jingxian Hu
    ,
    Guozhang Sun
    ,
    Xin Wang
    ,
    Yuhai Zhao
    ,
    Yuan Li
    , Xingwei Wang
  22. Graph Contrastive Learning with Progressive Augmentations
    SIGKDD 2025 ·
    Yuhai Zhao
    ,
    Yejiang Wang
    ,
    Zhengkui Wang
    ,
    Wen Shan
    ,
    Miaomiao Huang
    , Xingwei Wang
  23. Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
    WWW 2025 ·
    Chu Zhao
    ,
    Enneng Yang
    ,
    Yuliang Liang
    ,
    Pengxiang Lan
    ,
    Yuting Liu
    ,
    Jianzhe Zhao
    ,
    Guibing Guo
    , Xingwei Wang
  24. Hybrid2: Distributed GNN Training System Enhanced by Dual-Hybrid for Sampling and Loading
    CIKM 2025 ·
    Chu Zhao
    ,
    Shengjie Dong
    ,
    Yuhai Zhao
    ,
    Yuan Li
    ,
    Zhengkui Wang
    , Xingwei Wang
  25. Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
    ACL 2025 ·
    Haoyu Xu
    ,
    Pengxiang Lan
    ,
    Enneng Yang
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    ,
    Linying Jiang
    , Xingwei Wang
  26. Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
    AAAI 2025 ·
    Shuwei Gong
    ,
    Yuting Liu
    ,
    Yizhou Dang
    ,
    Guibing Guo
    ,
    Jianzhe Zhao
    , Xingwei Wang
  27. N2GON: Neural Networks for Graph-of-Net with Position Awareness
    ICML 2025 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    ,
    Zhengkui Wang
    ,
    Wen Shan
    ,
    Ling Li
    ,
    Qian Li
    ,
    Miaomiao Huang
    ,
    Meixia Wang
    ,
    Shirui Pan
    , Xingwei Wang
  28. AdaMerging: Adaptive Model Merging for Multi-Task Learning
    ICLR 2024 ·
    Enneng Yang
    ,
    Zhenyi Wang
    ,
    Li Shen
    ,
    Shiwei Liu
    ,
    Guibing Guo
    , Xingwei Wang,
    Dacheng Tao
  29. Limited-Supervised Multi-Label Learning with Dependency Noise
    AAAI 2024 ·
    Yejiang Wang
    ,
    Yuhai Zhao
    ,
    Zhengkui Wang
    ,
    Wen Shan
    , Xingwei Wang
  30. Repeated Padding for Sequential Recommendation
    RecSys 2024 ·
    Yizhou Dang
    ,
    Yuting Liu
    ,
    Enneng Yang
    ,
    Guibing Guo
    ,
    Linying Jiang
    , Xingwei Wang,
    Jianzhe Zhao
  31. Representation Surgery for Multi-Task Model Merging
    ICML 2024 ·
    Enneng Yang
    ,
    Li Shen
    ,
    Zhenyi Wang
    ,
    Guibing Guo
    ,
    Xiaojun Chen
    , Xingwei Wang,
    Dacheng Tao
  32. Towards Robust Multi-Label Learning against Dirty Label Noise
    IJCAI 2024 ·
    Yuhai Zhao
    ,
    Yejiang Wang
    ,
    Zhengkui Wang
    ,
    Wen Shan
    ,
    Miaomiao Huang
    ,
    Meixia Wang
    ,
    Min Huang
    , Xingwei Wang