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Qinliang Su

13 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

EMNLP ×5ACL ×2NeurIPS ×2AAAI ×1ACM MM ×1ICLR ×1ICML ×1

Frequent coauthors

Qingqing Fang
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Zetong Li
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Qian Zhang
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Junxi Xiao
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Wenxi Lv
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Tong Wu
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Haoyu Ma
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Yufeng Zhang
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Papers

  1. Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM-Assisted Classifier
    ACL 2026 ·
    Tong Wu
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  2. AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
    ACM MM 2025 ·
    Qingqing Fang
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  3. Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
    AAAI 2025 ·
    Qingqing Fang
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  4. Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering
    EMNLP 2025 ·
    Zetong Li
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  5. Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework
    EMNLP 2025 ·
    Haoyu Ma
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  6. HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes
    EMNLP 2025 ·
    Qian Zhang
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  7. HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
    NeurIPS 2025 ·
    Junxi Xiao
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  8. One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
    ICLR 2025 ·
    Wenxi Lv
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  9. Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
    ICML 2024 ·
    Wenxi Lv
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  10. Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model
    EMNLP 2024 ·
    Qian Zhang
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  11. Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning
    ACL 2024 ·
    Yufeng Zhang
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  12. Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training
    EMNLP 2024 ·
    Zetong Li
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  13. TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
    NeurIPS 2024 ·
    Junxi Xiao
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