PPaperPicks

Qinliang Su

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

Venues

Frequent coauthors

Jianxing Yu
×4
Wenxi Lv
×4
Minhua Huang
×3
Wenchao Xu
×3
Qingqing Fang
×2
Zetong Li
×2
Qian Zhang
×2
Junxi Xiao
×2
Tong Wu
×1
Bo Liang
×1
Yin Yang
×1
Haoyu Ma
×1

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
    , Qinliang Su,
    Jianxing Yu
    ,
    Bo Liang
    ,
    Minhua Huang
  2. AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
    ACM MM 2025 ·
    Qingqing Fang
    ,
    Wenxi Lv
    , Qinliang Su
  3. Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
    AAAI 2025 ·
    Qingqing Fang
    , Qinliang Su,
    Wenxi Lv
    ,
    Wenchao Xu
    ,
    Jianxing Yu
  4. Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering
    EMNLP 2025 ·
    Zetong Li
    , Qinliang Su,
    Minhua Huang
    ,
    Yin Yang
  5. Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework
    EMNLP 2025 ·
    Haoyu Ma
    , Qinliang Su,
    Minhua Huang
    ,
    Wu Kai
  6. HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes
    EMNLP 2025 ·
    Qian Zhang
    , Qinliang Su,
    Wei Zhu
    ,
    Pang Yachun
  7. HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
    NeurIPS 2025 ·
    Junxi Xiao
    , Qinliang Su,
    Zexin Yuan
  8. One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
    ICLR 2025 ·
    Wenxi Lv
    , Qinliang Su,
    Wenchao Xu
  9. Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
    ICML 2024 ·
    Wenxi Lv
    , Qinliang Su,
    Hai Wan
    ,
    Hongteng Xu
    ,
    Wenchao Xu
  10. Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model
    EMNLP 2024 ·
    Qian Zhang
    , Qinliang Su,
    Jiayang Chen
    ,
    Zhenpeng Song
  11. Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning
    ACL 2024 ·
    Yufeng Zhang
    ,
    Jianxing Yu
    ,
    Yanghui Rao
    ,
    Libin Zheng
    , Qinliang Su,
    Huaijie Zhu
    ,
    Jian Yin
  12. Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training
    EMNLP 2024 ·
    Zetong Li
    , Qinliang Su,
    Shijing Si
    ,
    Jianxing Yu
  13. TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
    NeurIPS 2024 ·
    Junxi Xiao
    , Qinliang Su