PPaperPicks

Wenhui Zhu

26 papers at tracked venues · 10 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives
  2. Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
  3. DRA-GRPO: Your GRPO Needs to Know Diverse Reasoning Paths for Mathematical Reasoning
  4. EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
    WACV 2026 · Wenhui Zhu
  5. EzBlender: Efficient 3D Editing with Plan-and-ReAct Agent
  6. Fast 2DGS: Efficient Image Representation with Deep Gaussian Prior
  7. Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
  8. SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement
  9. VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
  10. What Matters in Reinforcement Learning Based Training for Medical Vision Language Model: an Empirical Study
    WACV 2026 · Wenhui Zhu
  11. nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis
  12. CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement
  13. Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
  14. Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
  15. FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
  16. How Effective Can Dropout Be in Multiple Instance Learning ?
    ICML 2025 · Wenhui Zhu
  17. Multimodal Variational Autoencoder: A Barycentric View
  18. RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
  19. Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
  20. DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
    ECCV 2024 · Wenhui Zhu
  21. DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification
  22. Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters
  23. Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification
  24. SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
    MICCAI 2024 · Wenhui Zhu
  25. TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
  26. nnMobileNet: Rethinking CNN for Retinopathy Research
    CVPR 2024 · Wenhui Zhu