Jiye Liang

Venues

Frequent coauthors

Papers

1. Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks
   WWW 2026 ·

   Yuxing Guo

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2. Point Cloud Semantic Scene Completion with Prototype-Guided Transformer
   AAAI 2026 ·

   Chenghao Fang

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3. Semantic Guided Part Relation-aware Network for Point Cloud Completion
   AAAI 2026 ·

   Zhensheng Zhou

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4. Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
   NeurIPS 2025 ·

   Fuyuan Cao

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5. CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
   NeurIPS 2025 ·

   Jun Wang

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6. Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
   ICML 2025 ·

   Jiaxuan Zhang

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7. Cross-Channel Graph Attention Mechanism for Deep Convolutional Neural Networks
   ECAI 2025 ·

   Kaixuan Yao

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8. EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
   ICML 2025 ·

   Ming Li

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9. FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
   NeurIPS 2025 ·

   Da Wang

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10. Federated Causal Structure Learning with Non-identical Variable Sets
    ICML 2025 ·

    Yunxia Wang

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11. GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
    AAAI 2025 ·

    Jianqing Liang

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12. Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
    AAAI 2025 ·

    Zhiqiang Wang

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13. Hawkes Point Process-enhanced Dynamic Graph Neural Network
    WSDM 2025 ·

    Zhiqiang Wang

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14. Human Cognition-Inspired Hierarchical Fuzzy Learning Machine
    ICML 2025 ·

    Junbiao Cui

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15. HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
    NeurIPS 2025 ·

    Kaixuan Yao

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16. Hyperbolic Multi-Criteria Rating Recommendation
    SIGIR 2025 ·

    Zhihao Guo

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17. Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
    AAAI 2025 ·

    Da Wang

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18. Label Noise Correction via Fuzzy Learning Machine
    AAAI 2025 · Jiye Liang
19. Learning Textual Prompts for Open-World Semi-Supervised Learning
    CVPR 2025 ·

    Yuxin Fan

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20. MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
    IJCAI 2025 ·

    Jiandong Shi

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21. Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer
    IJCAI 2025 ·

    Chenghao Fang

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22. Open-World Semi-Supervised Learning with Class Semantic Correlations
    IJCAI 2025 ·

    Yuxin Fan

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23. Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
    IJCAI 2025 ·

    Zhiqiang Li

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24. AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization
    ACL 2024 ·

    Yunxiao Zhao

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25. FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering
    ACL 2024 ·

    Yue Fan

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26. Graph External Attention Enhanced Transformer
    ICML 2024 ·

    Jianqing Liang

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27. Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction
    ACL 2024 ·

    Guangjun Zhang

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28. Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
    ICML 2024 ·

    Da Wang

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29. InstructEd: Soft-Instruction Tuning for Model Editing with Hops
    ACL 2024 ·

    Xiaoqi Han

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30. Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
    NeurIPS 2024 ·

    Lijun Zhang

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31. SpeAr: A Spectral Approach for Zero-Shot Node Classification
    NeurIPS 2024 ·

    Ting Guo

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32. Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI
    MICCAI 2024 ·

    Zhicheng Dong

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