PPaperPicks

Wanchun Dou

30 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

AAAI ×7WWW ×7IJCAI ×5CIKM ×3ACM MM ×2ICML ×2NeurIPS ×2SIGIR ×2

Frequent coauthors

Xiaolong Xu
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Yuwen Liu
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Jianye Xie
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Siyuan Wu
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Yongzhe Jia
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Yu Xiao
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Hao Tian
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Xudong Zhao
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Xiaoxiao Chi
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Zheng Li
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Haodong Li
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Fan Lu
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Papers

  1. CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs
    WWW 2026 ·
    Yu Xiao
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  2. DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
    AAAI 2026 ·
    Hao Tian
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  3. DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection
    WWW 2026 ·
    Xudong Zhao
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  4. Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
    SIGIR 2026 ·
    Yuwen Liu
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  5. Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation
    WWW 2026 ·
    Jianye Xie
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  6. PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification
    WWW 2026 ·
    Jianye Xie
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  7. Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
    AAAI 2026 ·
    Xiaoxiao Chi
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  8. Retrieval-driven Reasoning for Deliberative Visual Classification
    AAAI 2026 ·
    Jianye Xie
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  9. A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models
    CIKM 2025 ·
    Zheng Li
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  10. A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
    NeurIPS 2025 ·
    Siyuan Wu
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  11. Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
    IJCAI 2025 ·
    Haodong Li
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  12. CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
    IJCAI 2025 ·
    Fan Lu
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  13. DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
    ICML 2025 ·
    Xiaolong Xu
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  14. Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
    AAAI 2025 ·
    Te Song
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  15. Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation
    WWW 2025 ·
    Yuwen Liu
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  16. Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching
    ACM MM 2025 ·
    Yijie Yang
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  17. MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization
    WWW 2025 ·
    Xiaolong Xu
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  18. NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
    AAAI 2025 ·
    Xiaolong Xu
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  19. PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
    AAAI 2025 ·
    Siyuan Wu
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  20. Policy Filtration for RLHF to Mitigate Noise in Reward Models
    ICML 2025 ·
    Chuheng Zhang
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  21. Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
    IJCAI 2025 ·
    Peng Chen
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  22. Attention Based Document-level Relation Extraction with None Class Ranking Loss
    IJCAI 2024 ·
    Xiaolong Xu
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  23. CHDAER: Consistent Hashing-based Data Allocation for Efficient Recommendation in Edge Environment
    CIKM 2024 ·
    Zhikang Feng
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  24. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation
    SIGIR 2024 ·
    Xiaolong Xu
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  25. Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia
    ACM MM 2024 ·
    Xingyuan Mao
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  26. Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
    IJCAI 2024 ·
    Lianyong Qi
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  27. DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
    NeurIPS 2024 ·
    Yongzhe Jia
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  28. FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
    AAAI 2024 ·
    Yongzhe Jia
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  29. GLFNet: Global and Local Frequency-domain Network for Long-term Time Series Forecasting
    CIKM 2024 ·
    Xucheng Zhou
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  30. GraphSAGE-based POI Recommendation via Continuous-Time Modeling
    WWW 2024 ·
    Yuwen Liu
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