PPaperPicks

Linan Yue

16 papers at tracked venues · 15 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5980-6098 ↗Homepage ↗

Venues

WWW ×4AAAI ×3SIGIR ×2SIGKDD ×2ECML-PKDD ×1ICDE ×1ICLR ×1ICML ×1NeurIPS ×1

Frequent coauthors

Qi Liu
×14
Weibo Gao
×13
Fangzhou Yao
×10
Zheng Zhang
×5
Hao Wang
×4
Rui Lv
×3
Kai Zhang
×3
Li Wang
×3
Zhenya Huang
×2
Zaixi Zhang
×2
Xin Li
×2
Yuanjing He
×2

Papers

  1. APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval
    AAAI 2026 ·
    Hong Gao
    ,
    Yiming Bao
    ,
    Xuezhen Tu
    ,
    Bin Zhong
    , Linan Yue,
    Min-Ling Zhang
  2. Difference-based Sample Selection for Federated Graph Rationalization
    WWW 2026 · Linan Yue,
    Weibo Gao
  3. Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
    AAAI 2025 ·
    Weibo Gao
    ,
    Qi Liu
    , Linan Yue,
    Fangzhou Yao
    ,
    Rui Lv
    ,
    Zheng Zhang
    ,
    Hao Wang
    ,
    Zhenya Huang
  4. BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling
    WWW 2025 ·
    Weibo Gao
    ,
    Qi Liu
    , Linan Yue,
    Fangzhou Yao
    ,
    Zhenya Huang
    ,
    Zheng Zhang
    ,
    Rui Lv
  5. Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
    SIGKDD 2025 ·
    Weibo Gao
    ,
    Qi Liu
    ,
    Rui Li
    ,
    Yuze Zhao
    ,
    Hao Wang
    , Linan Yue,
    Fangzhou Yao
    ,
    Zheng Zhang
  6. Empowering Federated Graph Rationale Learning with Latent Environments
    WWW 2025 · Linan Yue,
    Qi Liu
    ,
    Yawen Li
    ,
    Fangzhou Yao
    ,
    Weibo Gao
    ,
    Junping Du
  7. GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning
    ICDE 2025 ·
    Rui Lv
    ,
    Zaixi Zhang
    ,
    Kai Zhang
    ,
    Qi Liu
    ,
    Weibo Gao
    ,
    Jiawei Liu
    ,
    Jiaxia Yan
    , Linan Yue,
    Fangzhou Yao
  8. AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling
    SIGKDD 2024 ·
    Fangzhou Yao
    ,
    Qi Liu
    , Linan Yue,
    Weibo Gao
    ,
    Jiatong Li
    ,
    Xin Li
    ,
    Yuanjing He
  9. COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks
    SIGIR 2024 ·
    Lili Zhao
    ,
    Qi Liu
    , Linan Yue,
    Wei Chen
    ,
    Liyi Chen
    ,
    Ruijun Sun
    ,
    Chao Song
  10. Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
    NeurIPS 2024 ·
    Weibo Gao
    ,
    Qi Liu
    , Linan Yue,
    Fangzhou Yao
    ,
    Hao Wang
    ,
    Yin Gu
    ,
    Zheng Zhang
  11. Cooperative Classification and Rationalization for Graph Generalization
    WWW 2024 · Linan Yue,
    Qi Liu
    ,
    Ye Liu
    ,
    Weibo Gao
    ,
    Fangzhou Yao
    ,
    Wenfeng Li
  12. Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
    SIGIR 2024 · Linan Yue,
    Qi Liu
    ,
    Lili Zhao
    ,
    Li Wang
    ,
    Weibo Gao
    ,
    Yanqing An
  13. Federated Self-Explaining GNNs with Anti-shortcut Augmentations
    ICML 2024 · Linan Yue,
    Qi Liu
    ,
    Weibo Gao
    ,
    Ye Liu
    ,
    Kai Zhang
    ,
    Yichao Du
    ,
    Li Wang
    ,
    Fangzhou Yao
  14. Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
    ICLR 2024 · Linan Yue,
    Qi Liu
    ,
    Yichao Du
    ,
    Li Wang
    ,
    Weibo Gao
    ,
    Yanqing An
  15. Towards Few-Shot Self-explaining Graph Neural Networks
    ECML-PKDD 2024 ·
    Jingyu Peng
    ,
    Qi Liu
    , Linan Yue,
    Zaixi Zhang
    ,
    Kai Zhang
    ,
    Yunhao Sha
  16. Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
    AAAI 2024 ·
    Weibo Gao
    ,
    Qi Liu
    ,
    Hao Wang
    , Linan Yue,
    Haoyang Bi
    ,
    Yin Gu
    ,
    Fangzhou Yao
    ,
    Zheng Zhang
    ,
    Xin Li
    ,
    Yuanjing He