PPaperPicks

Xiao Wang

Beihang University, School of Software, Beijing, China

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

Venues

Frequent coauthors

Chuan Shi
×9
Yuling Wang
×4
Zhongjian Zhang
×4
Mengmei Zhang
×4
Yujie Xing
×3
Yibo Li
×3
Zihui Chen
×2
Pengfei Jiao
×2
Ruijia Wang
×2
Tianyin Liao
×2
Ran Zhang
×2
Ziwei Zhang
×2

Papers

  1. Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs
    WWW 2026 ·
    Zihui Chen
    ,
    Yuling Wang
    ,
    Pengfei Jiao
    ,
    Kai Wu
    , Xiao Wang,
    Xiang Ao
    ,
    Dalin Zhang
  2. DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes
    WWW 2026 ·
    Jialun Zheng
    ,
    Jie Liu
    ,
    Jiannong Cao
    , Xiao Wang,
    Hanchen Yang
    ,
    Yankai Chen
  3. FRiskGPT: A Generative Foundation Model for Financial Risk Detection
    WWW 2026 ·
    Zhongjian Zhang
    ,
    Mengmei Zhang
    ,
    Dehua Xu
    ,
    Rongjun Shi
    ,
    Jianfeng Liu
    ,
    Fuli Meng
    ,
    Huajian Xu
    , Xiao Wang,
    Ruijia Wang
    ,
    Junze Chen
    ,
    Minwei Tang
    ,
    Chuan Shi
  4. Invariant Conditional Molecular Generation Under Distribution Shift
    AAAI 2026 ·
    Chunyu Hu
    ,
    Tianyin Liao
    ,
    Yicheng Sui
    ,
    Ran Zhang
    , Xiao Wang,
    Ziwei Zhang
  5. Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
    WWW 2026 ·
    Zhongjian Zhang
    , Xiao Wang,
    Mengmei Zhang
    ,
    Jiarui Tan
    ,
    Chuan Shi
  6. Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning
    WWW 2026 ·
    Tianyin Liao
    ,
    Ge Lan
    ,
    Rui Chen
    ,
    Ran Zhang
    ,
    Zhiming Chen
    , Xiao Wang,
    Ziwei Zhang
  7. negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification
    WWW 2026 ·
    Junwei Gong
    ,
    Xiao Shen
    ,
    Zhihao Chen
    ,
    Shirui Pan
    , Xiao Wang,
    Xi Zhou
  8. Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
    SIGKDD 2025 ·
    Zhongjian Zhang
    , Xiao Wang,
    Huichi Zhou
    ,
    Yue Yu
    ,
    Mengmei Zhang
    ,
    Cheng Yang
    ,
    Chuan Shi
  9. HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
    ICML 2025 ·
    Yanbei Liu
    ,
    Chongxu Wang
    ,
    Zhitao Xiao
    ,
    Lei Geng
    ,
    Yanwei Pang
    , Xiao Wang
  10. HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
    IJCAI 2025 ·
    Yuling Wang
    ,
    Zihui Chen
    ,
    Pengfei Jiao
    , Xiao Wang
  11. Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
    AAAI 2025 ·
    Zhongjian Zhang
    ,
    Mengmei Zhang
    , Xiao Wang,
    Lingjuan Lyu
    ,
    Bo Yan
    ,
    Junping Du
    ,
    Chuan Shi
  12. Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
    NeurIPS 2025 ·
    Yujie Xing
    , Xiao Wang,
    Bin Wu
    ,
    Hai Huang
    ,
    Chuan Shi
  13. A Generalized Neural Diffusion Framework on Graphs
    AAAI 2024 ·
    Yibo Li
    , Xiao Wang,
    Hongrui Liu
    ,
    Chuan Shi
  14. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
    ,
    Changxin Tian
    ,
    Binbin Hu
    ,
    Yanhua Yu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    ,
    Jun Zhou
    ,
    Liang Pang
    , Xiao Wang
  15. Graph Contrastive Invariant Learning from the Causal Perspective
    AAAI 2024 ·
    Yanhu Mo
    , Xiao Wang,
    Shaohua Fan
    ,
    Chuan Shi
  16. Graph Fairness Learning under Distribution Shifts
    WWW 2024 ·
    Yibo Li
    , Xiao Wang,
    Yujie Xing
    ,
    Shaohua Fan
    ,
    Ruijia Wang
    ,
    Yaoqi Liu
    ,
    Chuan Shi
  17. Hop-based Heterogeneous Graph Transformer
    ECAI 2024 ·
    Zixuan Yang
    , Xiao Wang,
    Yanhua Yu
    ,
    Yuling Wang
    ,
    Kangkang Lu
    ,
    Zirui Guo
    ,
    Xiting Qin
    ,
    Yunshan Ma
    ,
    Tat-Seng Chua
  18. Less is More: on the Over-Globalizing Problem in Graph Transformers
    ICML 2024 ·
    Yujie Xing
    , Xiao Wang,
    Yibo Li
    ,
    Hai Huang
    ,
    Chuan Shi
  19. Uncovering the Redundancy in Graph Self-supervised Learning Models
    NeurIPS 2024 ·
    Zhibiao Wang
    , Xiao Wang,
    Haoyue Deng
    ,
    Nian Liu
    ,
    Shirui Pan
    ,
    Chunming Hu