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Kunpeng Liu

Portland State University, Computer Science Department, OR, USA

26 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

IJCAI ×8AAAI ×5CIKM ×4ACL ×3SIGKDD ×3EACL ×1ICDM ×1SDM ×1

Frequent coauthors

Jinghan Zhang
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Wanfu Gao
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Yanjie Fu
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Xinhao Zhang
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Pingting Hao
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Xinyuan Wang
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Tao Zhe
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Yanping Wu
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Zaitian Wang
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Runchang Liang
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Hanlin Pan
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Xiaoyan Han
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Papers

  1. Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer
    EACL 2026 ·
    Jinghan Zhang
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  2. Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
    AAAI 2026 ·
    Xinyuan Wang
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  3. Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
    SIGKDD 2026 ·
    Tao Zhe
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  4. AI4DE: The 1st International Workshop on AI for Data Editing
    SIGKDD 2025 ·
    Yanjie Fu
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  5. Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization
    CIKM 2025 ·
    Yanping Wu
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  6. Diversity-oriented Data Augmentation with Large Language Models
    ACL 2025 ·
    Zaitian Wang
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  7. Dual-Agent Reinforcement Learning for Automated Feature Generation
    IJCAI 2025 ·
    Wanfu Gao
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  8. Dynamic and Adaptive Feature Generation with LLM
    IJCAI 2025 ·
    Xinhao Zhang
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  9. Entropy-based Exploration Conduction for Multi-step Reasoning
    ACL 2025 ·
    Jinghan Zhang
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  10. Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
    IJCAI 2025 ·
    Wanfu Gao
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  11. Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer
    SIGKDD 2025 ·
    Runchang Liang
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  12. LEKA: LLM-Enhanced Knowledge Augmentation
    IJCAI 2025 ·
    Xinhao Zhang
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  13. Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
    IJCAI 2025 ·
    Wanfu Gao
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  14. RATT: A Thought Structure for Coherent and Correct LLM Reasoning
    AAAI 2025 ·
    Jinghan Zhang
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  15. Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
    AAAI 2025 ·
    Hanlin Pan
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  16. Two-Stage Feature Generation with Transformer and Reinforcement Learning
    IJCAI 2025 ·
    Wanfu Gao
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  17. Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
    AAAI 2025 ·
    Pingting Hao
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  18. Understanding the Constraints of RAG-Based Medical LVLMs - A Case Study in Ophthalmic Report Generation
    ICDM 2025 ·
    Xiaoyan Han
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  19. DCAI: The 4th International Workshop on Data-Centric AI
    CIKM 2024 ·
    Yanjie Fu
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  20. Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
    AAAI 2024 ·
    Pingting Hao
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  21. Feature Interaction Aware Automated Data Representation Transformation
    SDM 2024 ·
    Ehtesamul Azim
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  22. H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction
    CIKM 2024 ·
    Ran Zhang
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  23. Hierarchical Reinforcement Learning for Point of Interest Recommendation
    IJCAI 2024 ·
    Yanan Xiao
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  24. Prototypical Reward Network for Data-Efficient RLHF
    ACL 2024 ·
    Jinghan Zhang
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  25. TFWT: Tabular Feature Weighting with Transformer
    IJCAI 2024 ·
    Xinhao Zhang
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  26. Tabular Data-centric AI: Challenges, Techniques and Future Perspectives
    CIKM 2024 ·
    Yanjie Fu
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