PPaperPicks

Dongxiao He

45 papers at tracked venues · 34 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-1915-4179 ↗Homepage ↗

Venues

AAAI ×17IJCAI ×11WWW ×10NeurIPS ×6ACM MM ×1

Frequent coauthors

Di Jin
×29
Xiaobao Wang
×17
Zhiyong Feng
×11
Zhen Wang
×11
Zhizhi Yu
×10
Jitao Zhao
×10
Bingdao Feng
×7
Weixiong Zhang
×6
Jianguo Wei
×5
Yongqi Huang
×5
Yuxiao Huang
×5
Liang Yang
×5

Papers

  1. DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks
    AAAI 2026 ·
    Cuiying Huo
    ,
    Xiaotong Huang
    , Dongxiao He,
    Yixuan Du
    ,
    Wenhuan Lu
    ,
    Di Jin
  2. Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection
    WWW 2026 ·
    Zhizhi Yu
    ,
    Di Jin
    , Dongxiao He,
    Wenhuan Lu
    ,
    Jianguo Wei
  3. KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models
    WWW 2026 ·
    Zirui Chen
    ,
    Xin Wang
    ,
    Zhao Li
    ,
    Wenbin Guo
    , Dongxiao He,
    Yanbing Li
    ,
    Wushour Silamu
  4. LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training
    WWW 2026 ·
    Lianze Shan
    ,
    Jitao Zhao
    , Dongxiao He,
    Siqi Liu
    ,
    Jiaxu Cui
    ,
    Weixiong Zhang
  5. MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
    AAAI 2026 ·
    Lianze Shan
    ,
    Jitao Zhao
    , Dongxiao He,
    Yongqi Huang
    ,
    Zhiyong Feng
    ,
    Weixiong Zhang
  6. Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment
    AAAI 2026 ·
    Di Jin
    ,
    Haotian Zhao
    ,
    Xiaobao Wang
    ,
    Fengyu Yan
    , Dongxiao He
  7. Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning
    AAAI 2026 ·
    Fengyu Yan
    ,
    Di Jin
    ,
    Xiaobao Wang
    ,
    Qianhua Tang
    , Dongxiao He
  8. Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs
    WWW 2026 ·
    Yi Wang
    ,
    Jitao Zhao
    , Dongxiao He,
    Jia Li
    ,
    Yuxiao Huang
    ,
    Zhiyong Feng
  9. Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs
    WWW 2026 ·
    Jitao Zhao
    ,
    Yi Wang
    ,
    Yawen Li
    , Dongxiao He,
    Di Jin
    ,
    Zhiyong Feng
    ,
    Weixiong Zhang
  10. Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms
    WWW 2026 ·
    Di Jin
    ,
    Bingdao Feng
    ,
    Xiaobao Wang
    ,
    Yuxiang Zhang
    ,
    Zechuan Zhang
    ,
    Liang Yang
    , Dongxiao He,
    Zhen Wang
  11. A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
    IJCAI 2025 ·
    Di Jin
    ,
    Jun Yang
    ,
    Xiaobao Wang
    ,
    Junwei Zhang
    ,
    Shuqi Li
    , Dongxiao He
  12. A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
    IJCAI 2025 ·
    Pengfei Jiao
    ,
    Hongjiang Chen
    ,
    Xuan Guo
    ,
    Zhidong Zhao
    , Dongxiao He,
    Di Jin
  13. Attribute Association Driven Multi-Task Learning for Session-based Recommendation
    IJCAI 2025 ·
    Xinyao Wang
    ,
    Zhizhi Yu
    , Dongxiao He,
    Liang Yang
    ,
    Jianguo Wei
    ,
    Di Jin
  14. Backdoor Attack on Propagation-based Rumor Detectors
    AAAI 2025 ·
    Di Jin
    ,
    Yujun Zhang
    ,
    Bingdao Feng
    ,
    Xiaobao Wang
    , Dongxiao He,
    Zhen Wang
  15. Contrastive Representation for Interactive Recommendation
    AAAI 2025 ·
    Jingyu Li
    ,
    Zhiyong Feng
    , Dongxiao He,
    Hongqi Chen
    ,
    Qinghang Gao
    ,
    Guoli Wu
  16. Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
    AAAI 2025 ·
    Yongqi Huang
    ,
    Jitao Zhao
    , Dongxiao He,
    Di Jin
    ,
    Yuxiao Huang
    ,
    Zhen Wang
  17. Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
    AAAI 2025 ·
    Zhizhi Yu
    ,
    Chundong Liang
    ,
    Xinglong Chang
    , Dongxiao He,
    Di Jin
    ,
    Jianguo Wei
  18. Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs
    IJCAI 2025 ·
    Dongyuan Ma
    , Dongxiao He,
    Xin Huang
  19. Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content
    AAAI 2025 ·
    Sheng Wu
    , Dongxiao He,
    Xiaobao Wang
    ,
    Longbiao Wang
    ,
    Jianwu Dang
  20. Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
    IJCAI 2025 ·
    Bingdao Feng
    ,
    Di Jin
    ,
    Xiaobao Wang
    , Dongxiao He,
    Jingyi Cao
    ,
    Zhen Wang
  21. Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
    AAAI 2025 ·
    Songyuan Lei
    ,
    Xinglong Chang
    ,
    Zhizhi Yu
    , Dongxiao He,
    Cuiying Huo
    ,
    Jianrong Wang
    ,
    Di Jin
  22. HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting
    AAAI 2025 ·
    Fengyu Yan
    ,
    Xiaobao Wang
    , Dongxiao He,
    Longbiao Wang
    ,
    Jianwu Dang
    ,
    Di Jin
  23. Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
    AAAI 2025 ·
    Siqi Liu
    , Dongxiao He,
    Zhizhi Yu
    ,
    Di Jin
    ,
    Zhiyong Feng
    ,
    Weixiong Zhang
  24. LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction
    WWW 2025 ·
    Di Jin
    ,
    Cuiying Huo
    ,
    Jiayi Shi
    , Dongxiao He,
    Jianguo Wei
    ,
    Philip S. Yu
  25. LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
    NeurIPS 2025 ·
    Di Jin
    ,
    Yuxiang Zhang
    ,
    Bingdao Feng
    ,
    Xiaobao Wang
    , Dongxiao He,
    Zhen Wang
  26. One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
    NeurIPS 2025 ·
    Yongqi Huang
    ,
    Jitao Zhao
    , Dongxiao He,
    Xiaobao Wang
    ,
    Yawen Li
    ,
    Yuxiao Huang
    ,
    Di Jin
    ,
    Zhiyong Feng
  27. Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
    IJCAI 2025 ·
    Di Jin
    ,
    Jingyi Cao
    ,
    Xiaobao Wang
    ,
    Bingdao Feng
    , Dongxiao He,
    Longbiao Wang
    ,
    Jianwu Dang
  28. Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
    IJCAI 2025 ·
    Runze Li
    ,
    Di Jin
    ,
    Xiaobao Wang
    , Dongxiao He,
    Bingdao Feng
    ,
    Zhen Wang
  29. Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
    NeurIPS 2025 ·
    Xiaobao Wang
    ,
    Ruoxiao Sun
    ,
    Yujun Zhang
    ,
    Bingdao Feng
    , Dongxiao He,
    Luzhi Wang
    ,
    Di Jin
  30. Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
    WWW 2025 · Dongxiao He,
    Yongqi Huang
    ,
    Jitao Zhao
    ,
    Xiaobao Wang
    ,
    Zhen Wang
  31. Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
    AAAI 2025 ·
    Ling Ding
    ,
    Lei Huang
    ,
    Zhizhi Yu
    ,
    Di Jin
    , Dongxiao He
  32. A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
    AAAI 2024 · Dongxiao He,
    Jitao Zhao
    ,
    Cuiying Huo
    ,
    Yongqi Huang
    ,
    Yuxiao Huang
    ,
    Zhiyong Feng
  33. Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
    NeurIPS 2024 · Dongxiao He,
    Lianze Shan
    ,
    Jitao Zhao
    ,
    Hengrui Zhang
    ,
    Zhen Wang
    ,
    Weixiong Zhang
  34. FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
    NeurIPS 2024 ·
    Jitao Zhao
    ,
    Di Jin
    ,
    Meng Ge
    ,
    Lianze Shan
    ,
    Xin Wang
    , Dongxiao He,
    Zhiyong Feng
  35. GAUSS: GrAph-customized Universal Self-Supervised Learning
    WWW 2024 ·
    Liang Yang
    ,
    Weixiao Hu
    ,
    Jizhong Xu
    ,
    Runjie Shi
    , Dongxiao He,
    Chuan Wang
    ,
    Xiaochun Cao
    ,
    Zhen Wang
    ,
    Bingxin Niu
    ,
    Yuanfang Guo
  36. GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
    AAAI 2024 ·
    Luzhi Wang
    , Dongxiao He,
    He Zhang
    ,
    Yixin Liu
    ,
    Wenjie Wang
    ,
    Shirui Pan
    ,
    Di Jin
    ,
    Tat-Seng Chua
  37. Generalized Taxonomy-Guided Graph Neural Networks
    IJCAI 2024 ·
    Yu Zhou
    ,
    Di Jin
    ,
    Jianguo Wei
    , Dongxiao He,
    Zhizhi Yu
    ,
    Weixiong Zhang
  38. Graph Contrastive Learning Reimagined: Exploring Universality
    WWW 2024 ·
    Jiaming Zhuo
    ,
    Can Cui
    ,
    Kun Fu
    ,
    Bingxin Niu
    , Dongxiao He,
    Chuan Wang
    ,
    Yuanfang Guo
    ,
    Zhen Wang
    ,
    Xiaochun Cao
    ,
    Liang Yang
  39. Improving Distinguishability of Class for Graph Neural Networks
    AAAI 2024 · Dongxiao He,
    Shuwei Liu
    ,
    Meng Ge
    ,
    Zhizhi Yu
    ,
    Guangquan Xu
    ,
    Zhiyong Feng
  40. Joint Domain Adaptive Graph Convolutional Network
    IJCAI 2024 ·
    Niya Yang
    ,
    Ye Wang
    ,
    Zhizhi Yu
    , Dongxiao He,
    Xin Huang
    ,
    Di Jin
  41. LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
    IJCAI 2024 ·
    Zhizhi Yu
    ,
    Bin Feng
    , Dongxiao He,
    Zizhen Wang
    ,
    Yuxiao Huang
    ,
    Zhiyong Feng
  42. Multi-Modal Sarcasm Detection Based on Dual Generative Processes
    IJCAI 2024 ·
    Huiying Ma
    , Dongxiao He,
    Xiaobao Wang
    ,
    Di Jin
    ,
    Meng Ge
    ,
    Longbiao Wang
  43. TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System
    ACM MM 2024 · Dongxiao He,
    Jinghan Zhang
    ,
    Xiaobao Wang
    ,
    Meng Ge
    ,
    Zhiyong Feng
    ,
    Longbiao Wang
    ,
    Xiaoke Ma
  44. Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
    NeurIPS 2024 ·
    Jiaming Zhuo
    ,
    Yintong Lu
    ,
    Hui Ning
    ,
    Kun Fu
    ,
    Bingxin Niu
    , Dongxiao He,
    Chuan Wang
    ,
    Yuanfang Guo
    ,
    Zhen Wang
    ,
    Xiaochun Cao
    ,
    Liang Yang
  45. Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
    AAAI 2024 ·
    Yiqi Dong
    , Dongxiao He,
    Xiaobao Wang
    ,
    Youzhu Jin
    ,
    Meng Ge
    ,
    Carl Yang
    ,
    Di Jin