Hualiang Wang
19 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (8) π§ Keyword Pioneer
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(11)
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(63)
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(5)
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Conference Pioneer
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Century Club
(18)
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Conferences
MICCAI (6)
AAAI (3)
CVPR (2)
ICCV (2)
MIDL (2)
NIPS (2)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
image synthesis
(2)
multi-scale feature
(2)
contrastive learning
(2)
causal inference
(1)
unsupervised pretraining
(1)
zero-shot learning
(1)
3d reconstruction
(1)
image segmentation
(1)
metric learning
(1)
domain adaptation
(1)
multimodal learning
(1)
open-set classification
(1)
medical imaging
(1)
personalized generation
(1)
knowledge distillation
(1)
semantic segmentation
(1)
representation learning
(1)
image translation
(1)
visual explanation
(1)
federated learning
(1)
Papers
FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus
AAAI 2026
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
MICCAI 2025
Token Activation Map to Visually Explain Multimodal LLMs
ICCV 2025
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
MICCAI 2025
Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction
MICCAI 2025
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation
CVPR 2025
HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis
MICCAI 2024
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
MICCAI 2024
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
CVPR 2024
Robustness-Guided Image Synthesis for Data-Free Quantization
AAAI 2024
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
MICCAI 2024
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
ICLR 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
NIPS 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
ICCV 2023
Towards Distribution-Agnostic Generalized Category Discovery
NIPS 2023
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning
ECCV 2022
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans
MIDL 2022
Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation
MIDL 2022
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation
AAAI 2022