PPaperPicks

Xuyun Zhang

45 papers at tracked venues · 28 at CORE A* · active 2024–2026

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Venues

AAAI ×10IJCAI ×7WWW ×6WSDM ×5CIKM ×4ACM MM ×3NeurIPS ×3ICML ×2SIGIR ×2ICDE ×1ICDM ×1SIGKDD ×1

Frequent coauthors

Yuwen Liu
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Xiaolong Xu
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Jianye Xie
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Haolong Xiang
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Xiaoxiao Chi
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Te Song
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Yongzhe Jia
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Yibo Zhou
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Yu Xiao
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Shiqi Ge
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Hao Tian
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Xudong Zhao
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Papers

  1. Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM
    WSDM 2026 ·
    Yibo Zhou
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  2. CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs
    WWW 2026 ·
    Yu Xiao
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  3. DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation
    WSDM 2026 ·
    Shiqi Ge
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  4. DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
    AAAI 2026 ·
    Hao Tian
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  5. DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection
    WWW 2026 ·
    Xudong Zhao
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  6. Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling
    WSDM 2026 ·
    Hongsheng Dong
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  7. EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning
    SIGKDD 2026 ·
    Hengyu Zhang
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  8. Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
    SIGIR 2026 ·
    Yuwen Liu
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  9. GSDiffRec: Enhancing Personalized Sequential Recommendation via Diffusion Augmentation and Guidance Optimization
    WSDM 2026 ·
    Ruxue Han
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  10. Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
    AAAI 2026 ·
    Yuwen Liu
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  11. Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation
    WWW 2026 ·
    Jianye Xie
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  12. MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
    AAAI 2026 ·
    Haolong Xiang
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  13. PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification
    WWW 2026 ·
    Jianye Xie
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  14. Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
    AAAI 2026 ·
    Xiaoxiao Chi
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  15. A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models
    CIKM 2025 ·
    Zheng Li
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  16. A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
    NeurIPS 2025 ·
    Siyuan Wu
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  17. Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
    IJCAI 2025 ·
    Haodong Li
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  18. Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation
    ACM MM 2025 ·
    Te Song
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  19. Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
    AAAI 2025 ·
    Jian-Ping Mei
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  20. DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
    AAAI 2025 ·
    Wenwen Gong
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  21. DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
    ICML 2025 ·
    Xiaolong Xu
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  22. Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
    IJCAI 2025 ·
    Haolong Xiang
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  23. Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
    AAAI 2025 ·
    Te Song
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  24. Fine-Grained and Efficient Self-Unlearning with Layered Iteration
    IJCAI 2025 ·
    Hongyi Lyu
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  25. HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation
    NeurIPS 2025 ·
    Xiaolong Xu
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  26. HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting
    CIKM 2025 ·
    Dejiang Zhang
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  27. Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation
    WWW 2025 ·
    Yuwen Liu
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  28. Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
    AAAI 2025 ·
    Shilong Ou
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  29. NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
    AAAI 2025 ·
    Xiaolong Xu
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  30. Policy Filtration for RLHF to Mitigate Noise in Reward Models
    ICML 2025 ·
    Chuheng Zhang
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  31. RSFomer: Time Series Transformer for Robust Sports Action Recognition
    ACM MM 2025 ·
    Yongan Guo
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  32. Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
    IJCAI 2025 ·
    Yuwen Liu
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  33. Adaptive Hypergraph Network for Trust Prediction
    ICDE 2024 ·
    Rongwei Xu
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  34. Attention Based Document-level Relation Extraction with None Class Ranking Loss
    IJCAI 2024 ·
    Xiaolong Xu
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  35. CHDAER: Consistent Hashing-based Data Allocation for Efficient Recommendation in Edge Environment
    CIKM 2024 ·
    Zhikang Feng
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  36. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation
    SIGIR 2024 ·
    Xiaolong Xu
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  37. Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia
    ACM MM 2024 ·
    Xingyuan Mao
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  38. Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
    IJCAI 2024 ·
    Lianyong Qi
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  39. DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
    NeurIPS 2024 ·
    Yongzhe Jia
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  40. EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection
    ICDM 2024 ·
    Yifan Zhang
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  41. EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence
    WSDM 2024 ·
    Ambreen Hanif
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  42. FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
    AAAI 2024 ·
    Yongzhe Jia
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  43. GLFNet: Global and Local Frequency-domain Network for Long-term Time Series Forecasting
    CIKM 2024 ·
    Xucheng Zhou
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  44. GraphSAGE-based POI Recommendation via Continuous-Time Modeling
    WWW 2024 ·
    Yuwen Liu
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  45. Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
    IJCAI 2024 ·
    Xiaoxiao Chi
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