Hong Qian

Venues

Frequent coauthors

Papers

1. AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
   ACL 2026 ·

   Yixuan Wang

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2. Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
   WWW 2026 ·

   Yuanhao Liu

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3. A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
   SIGKDD 2025 ·

   Yuanhao Liu

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4. A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
   IJCAI 2025 ·

   Yuanhao Liu

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5. A Style-Aware Polytomous Diagnostic Model for Individual Traits
   ECAI 2025 ·

   Yixuan Wang

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6. Constrained Offline Black-Box Optimization via Risk Evaluation and Management
   AAAI 2025 ·

   Yiyi Zhu

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7. Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
   AAAI 2025 ·

   Bingdong Li

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8. InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following
   AAMAS 2025 ·

   Peng-Yuan Wang

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9. LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
   ICLR 2025 ·

   Caigao Jiang

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10. Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
    SIGKDD 2025 ·

    Shuo Liu

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11. Paper-Level Computerized Adaptive Testing for High-Stakes Examination via Multi-Objective Optimization
    SIGKDD 2025 ·

    Mingjia Li

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12. Preference Diffusion for Recommendation
    ICLR 2025 ·

    Shuo Liu

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13. Relation-Augmented Dueling Bayesian Optimization via Preference Propagation
    IJCAI 2025 ·

    Xiang Xia

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14. SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
    ICLR 2025 · Hong Qian
15. Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
    ICML 2025 ·

    Mingjia Li

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16. A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
    NeurIPS 2024 ·

    Mingjia Li

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17. Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems
    SIGKDD 2024 ·

    Junhao Shen

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18. Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim
    SIGKDD 2024 ·

    Yupeng Wu

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19. High-Dimensional Causal Bayesian Optimization
    ECAI 2024 ·

    Yupeng Wu

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20. Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems
    WWW 2024 ·

    Shuo Liu

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21. LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment
    SIGKDD 2024 ·

    Yongfeng Gu

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22. Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
    SIGKDD 2024 ·

    Jiajun Cui

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23. ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
    SIGKDD 2024 · Hong Qian
24. Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
    AAAI 2024 ·

    Junhao Shen

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