Wenhui Zhu

15 papers · 2023–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+5 more ↓

🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (14) 🌈 Renaissance Researcher (5)

💎 Century Club · Bronze 🗃️ Keyword Collector (70) ❓ The Questioner ⚡ Prolific Year · Productive 🚀 Conference Pioneer

Venues

WACV (6) ICML (3) AAAI (2) CVPR (1) ECCV (1) ICCV (1) MICCAI (1)

Top co-authors

Yalin Wang (14) Peijie Qiu (13) Xiwen Chen (13) Abolfazl Razi (10) Aristeidis Sotiras (9) Huayu Li (6) Xuanzhao Dong (5) Hao Wang (5) Zhangsihao Yang (3) Yujian Xiong (2)

Research topics

Machine Learning (12) Core Methods (7) Deep Learning (6) Application Areas (5) Artificial Intelligence (4) Healthcare & Medicine (4) Mathematics & Optimization (4) Clinical (4) Core AI (4) Learning Types (4) Optimization (4) Optimization & Theory (4) Computer Vision (3) Architectures (3) Models (3)

Keywords

optimal transport (4) multiple instance learning (3) retinal imaging (2) image enhancement (2) vision-language model (2) fundus photography (2) visual question answering (1) domain adaptation (1) transformer architecture (1) multimodal learning (1) sequence representation (1) feature embedding (1) video understanding (1) geometric deep learning (1) attention mechanism (1) self-attention mechanism (1) u-net architecture (1) instruction tuning (1) time series classification (1) feature distribution (1)

Papers

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models WACV 2026 LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding CVPR 2026 Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026 Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement WACV 2025 Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis ICCV 2025 CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement WACV 2025 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint ICML 2025 How Effective Can Dropout Be in Multiple Instance Learning ? ICML 2025 Multimodal Variational Autoencoder: A Barycentric View AAAI 2025 RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025 Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences AAAI 2025 DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification ECCV 2024 SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation MICCAI 2024 TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning ICML 2024 Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence WACV 2023