PPaperPicks

Haolong Xiang

26 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM
  2. CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs
  3. DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection
  4. Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling
  5. Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
  6. GSDiffRec: Enhancing Personalized Sequential Recommendation via Diffusion Augmentation and Guidance Optimization
  7. IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
  8. Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation
  9. MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
    AAAI 2026 · Haolong Xiang
  10. PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification
  11. A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
  12. CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
  13. DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
  14. DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
  15. Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
    IJCAI 2025 · Haolong Xiang
  16. HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation
  17. HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting
  18. MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
  19. MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization
  20. NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
  21. PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
  22. Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
  23. Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
  24. Attention Based Document-level Relation Extraction with None Class Ranking Loss
  25. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation
  26. EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection