Aimin Zhou

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. CLIP2Pose: Frozen CLIP as Semantic Guide for Domain Adaptive Pose Estimation
   AAAI 2026 ·

   Jiawen Li

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

   Yuanhao Liu

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4. HACHIMI: Scalable and Controllable Student Persona Generation via Orchestrated Agents
   ACL 2026 ·

   Yilin Jiang

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5. Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF
   ACL 2026 ·

   Yuan Fang

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6. SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation
   ACL 2026 ·

   Chengyi Yang

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

   Yuanhao Liu

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8. CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models
   ACM MM 2025 ·

   Wentao Liu

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9. ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models
   ICML 2025 ·

   Xinpeng Dong

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

    Bingdong Li

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11. Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
    ACL 2025 ·

    Mengliang He

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

    Caigao Jiang

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13. Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
    ACL 2025 ·

    Jiayi Zeng

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

    Mingjia Li

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15. SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
    ICLR 2025 ·

    Hong Qian

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16. Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
    ICML 2025 ·

    Mingjia Li

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17. The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights
    ACL 2025 ·

    Yufang Liu

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

    Mingjia Li

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19. Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM
    ACL 2024 ·

    Yang Chen

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20. Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
    AAAI 2024 ·

    Yongfan Lu

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

    Junhao Shen

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

    Yupeng Wu

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23. From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
    AAAI 2024 ·

    Xinhao Chen

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24. Generating Prompts in Latent Space for Rehearsal-free Continual Learning
    ACM MM 2024 ·

    Chengyi Yang

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25. High-Dimensional Causal Bayesian Optimization
    ECAI 2024 ·

    Yupeng Wu

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

    Shuo Liu

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27. Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
    ICDE 2024 ·

    Jiajun Cui

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28. Introducing Common Null Space of Gradients for Gradient Projection Methods in Continual Learning
    ACM MM 2024 ·

    Chengyi Yang

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29. Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
    EMNLP 2024 ·

    Yufang Liu

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

    Yongfeng Gu

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31. ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
    SIGKDD 2024 ·

    Hong Qian

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32. Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
    AAAI 2024 ·

    Junhao Shen

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33. Wasserstein Differential Privacy
    AAAI 2024 ·

    Chengyi Yang

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