PPaperPicks

Yefeng Zheng

Westlake University, Hangzhou, China

77 papers at tracked venues · 52 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
  2. Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization
  3. Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
  4. Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
  5. MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
  6. Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification
  7. QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
  8. Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
  9. A Layered Debating Multi-Agent System for Similar Disease Diagnosis
  10. A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
  11. A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-contrast CT with Anatomy Simplification
  12. A Prior-Driven Lightweight Network for Endoscopic Exposure Correction
  13. A Simple Yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks
  14. A Survey on Foundation Language Models for Single-cell Biology
  15. AtlantisGS: Underwater Sparse-View Scene Reconstruction via Gaussian Splatting
  16. BrainSegDMIF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
  17. Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models
  18. CellVerse: Do Large Language Models Really Understand Cell Biology?
  19. CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration
  20. Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models
  21. D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-Invariant CAM
  22. D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
  23. Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
  24. Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding
  25. How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs
  26. LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
  27. Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding
  28. Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
  29. MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
  30. Model Merging for Knowledge Editing
  31. NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
  32. NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
  33. PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction
  34. RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
  35. RareSyn: Health Record Synthesis for Rare Disease Diagnosis
  36. SAMVSR: Leveraging Semantic Priors to Zone-Focused Mamba for Video Snow Removal
  37. Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
  38. Single Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement
  39. T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
  40. TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
  41. The Curse of Depth in Large Language Models
  42. Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
  43. TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
  44. Training-free LLM Merging for Multi-task Learning
  45. Aspects are Anchors: Towards Multimodal Aspect-based Sentiment Analysis via Aspect-driven Alignment and Refinement
  46. Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models
  47. Causally Debiased Time-aware Recommendation
  48. Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
  49. Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal
  50. DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
  51. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
  52. FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
  53. Federated Learning via Input-Output Collaborative Distillation
  54. Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
  55. Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
  56. GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph
  57. Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
  58. InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing
  59. LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
  60. Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
  61. Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
  62. Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation
  63. Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets
  64. MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
  65. Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
  66. Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
  67. MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
  68. Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation
  69. Pre-trained Online Contrastive Learning for Insurance Fraud Detection
  70. Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
  71. Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
  72. TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
  73. TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing
  74. Tune-an-Ellipse: CLIP Has Potential to Find what you Want
  75. ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
  76. When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
  77. imapScore: Medical Fact Evaluation Made Easy