PPaperPicks

Tingjin Luo

18 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CLASS: Deep Partial Label Feature Selection with Cluster-Guided Disambiguation and Structured Sparsity
    SIGKDD 2026 · Tingjin Luo
  2. DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
  3. ESTIM: Efficient and Scalable Tensorial Incomplete Multi-view Semi-supervised Classification
    SIGKDD 2026 · Tingjin Luo
  4. Multi-Label Classification with Incremental and Decremental Features
  5. Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
  6. Core-to-Global Reasoning for Compositional Visual Question Answering
  7. DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs
  8. Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
  9. Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
  10. One-step Label Shift Adaptation via Robust Weight Estimation
  11. Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label
  12. Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning
  13. Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
  14. Trusted Multi-View Classification with Expert Knowledge Constraints
  15. Core-Structures-Guided Multi-Modal Classification Neural Architecture Search
  16. Deep Incomplete Multi-View Learning Network with Insufficient Label Information
  17. Deep Incomplete Multi-View Network Semi-Supervised Multi-Label Learning with Unbiased Loss
  18. Imbalanced Multi-instance Multi-label Learning via Coding Ensemble and Adaptive Thresholds