Daoqiang Zhang

25 papers · 2013–2025 · 5 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🏃 Academic Marathon (12) 🌍 Conference Polyglot (5) 🗺️ Taxonomy Completionist (38)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🤝 Dynamic Duo (10) 🧬 Topic Evolution ⚡ Prolific Year (11) 🚀 Conference Pioneer 💎 Century Club (25) 🗃️ Keyword Collector (90)

Conferences

MICCAI (10) CVPR (7) AAAI (4) ICCV (2) NIPS (2)

Top co-authors

Peng Wan (10) Wei Shao (9) Jiao Tang (5) Fang Chen (4) Junjie Zhou (4) Hongen Liao (3) Qi Zhu (3) Xuyun Wen (2) Mingliang Wang (2) Dong Nie (2)

Keywords

domain adaptation (5) medical imaging (4) feature extraction (3) multimodal learning (3) transfer learning (2) graph neural network (2) tumor microenvironment (2) deep learning (2) functional alignment (2) pathology image (2) compressed sensing (1) dimensionality reduction (1) image restoration (1) feature alignment (1) variational inference (1) domain generalization (1) neural decoding (1) uncertainty quantification (1) deformable convolution (1) graph learning (1)

Papers

Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis MICCAI 2025 Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation AAAI 2025 Vision-Language Model IP Protection via Prompt-based Learning CVPR 2025 Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder CVPR 2025 DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction CVPR 2025 Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information CVPR 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025 AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images ICCV 2025 Cost-effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment MICCAI 2025 LTSE: Language-guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture MICCAI 2025 Multi-expert collaboration and knowledge enhancement network for multimodal emotion recognition MICCAI 2025 OSAL-ND: Open-set Active Learning for Nucleus Detection MICCAI 2024 TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI MICCAI 2024 WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI MICCAI 2024 Correlation-adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis MICCAI 2024 Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images CVPR 2024 Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound MICCAI 2024 Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation MICCAI 2024 Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection CVPR 2023 Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data AAAI 2020 Shared Space Transfer Learning for analyzing multi-site fMRI data NIPS 2020 SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction AAAI 2019 Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification AAAI 2019 Deep Hyperalignment NIPS 2017 Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso CVPR 2013