PPaperPicks

De-Chuan Zhan

43 papers at tracked venues · 35 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
  2. Logits-Based Block Pruning with Affine Transformations for Large Language Models
  3. Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
  4. Capability Instruction Tuning
  5. Compositional Condition Question Answering in Tabular Understanding
  6. DART: Distilling Autoregressive Reasoning to Silent Thought
  7. Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
  8. External Knowledge Injection for CLIP-Based Class-Incremental Learning
  9. FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
  10. Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
  11. Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
  12. Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
  13. Leveraging Conditional Dependence for Efficient World Model Denoising
  14. MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
  15. MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
  16. Maximizing the Effectiveness of Larger BERT Models for Compression
  17. Multimodal Tabular Reasoning with Privileged Structured Information
  18. Parrot: Multilingual Visual Instruction Tuning
  19. Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
  20. Reward Models in Deep Reinforcement Learning: A Survey
  21. Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
  22. ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
  23. AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
  24. Bridge the Modality and Capability Gaps in Vision-Language Model Selection
  25. CS3: Cascade SAM for Sperm Segmentation
  26. Continual Learning with Pre-Trained Models: A Survey
  27. Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
  28. Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
  29. Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
  30. Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
  31. Leveraging Separated World Model for Exploration in Visually Distracted Environments
  32. MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation
  33. MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
  34. Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
  35. RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
  36. Revisit the Essence of Distilling Knowledge through Calibration
  37. SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
  38. SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
  39. SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
  40. Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
  41. Twice Class Bias Correction for Imbalanced Semi-supervised Learning
  42. Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
  43. Wings: Learning Multimodal LLMs without Text-only Forgetting