PPaperPicks

Han-Jia Ye

38 papers at tracked venues · 36 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
  2. DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis
  3. Generalist Model for Structured Data: Foundations, Frontiers and Applications
  4. A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
    NeurIPS 2025 · Han-Jia Ye
  5. A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
  6. Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
  7. Capability Instruction Tuning
  8. Compositional Condition Question Answering in Tabular Understanding
  9. Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
  10. External Knowledge Injection for CLIP-Based Class-Incremental Learning
  11. Feature-aware Modulation for Learning from Temporal Tabular Data
  12. Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
  13. Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
  14. Integrating Task-Specific and Universal Adapters for Pre-Trained Model-Based Class-Incremental Learning
  15. Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
  16. MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
  17. MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
  18. Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning
  19. Multimodal Tabular Reasoning with Privileged Structured Information
  20. Parrot: Multilingual Visual Instruction Tuning
  21. Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
    ICLR 2025 · Han-Jia Ye
  22. TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
  23. Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
  24. Understanding the Limits of Deep Tabular Methods with Temporal Shift
  25. ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
  26. Bridge the Modality and Capability Gaps in Vision-Language Model Selection
  27. Continual Learning with Pre-Trained Models: A Survey
  28. Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
  29. Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
  30. Graph Contrastive Learning with Cohesive Subgraph Awareness
  31. Learning Only When It Matters: Cost-Aware Long-Tailed Classification
  32. Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
  33. Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
  34. SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
  35. SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
  36. Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
  37. Twice Class Bias Correction for Imbalanced Semi-supervised Learning
  38. Wings: Learning Multimodal LLMs without Text-only Forgetting