Hualiang Wang

21 papers · 2022–2026 · 8 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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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (12)

🚀 Conference Pioneer 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (76)

Venues

MICCAI (6) CVPR (4) AAAI (3) ICCV (2) MIDL (2) NeurIPS (2) ECCV (1) ICLR (1)

Top co-authors

Xiaomeng Li (12) Haoji Hu (7) Zuozhu Liu (6) Yang Feng (4) Yiqun Lin (4) Xinpeng Ding (4) Siming FU (4) Huanpeng Chu (3) Mu Liu (3) Weinan Jia (3)

Research topics

Computer Vision (9) Machine Learning (8) Deep Learning (7) Learning Types (6) Artificial Intelligence (5) Core AI (4) Models (4) Analysis (3) Domain-Specific (3) Generation (3) Healthcare & Medicine (2) Application Areas (2) Architectures (2) Clinical (2) Core Methods (2)

Keywords

contrastive learning (3) multi-scale feature (2) image synthesis (2) causal inference (1) domain adaptation (1) zero-shot learning (1) 3d reconstruction (1) image segmentation (1) metric learning (1) image generation (1) personalized generation (1) unsupervised pretraining (1) open-set classification (1) self-supervised learning (1) medical imaging (1) semantic segmentation (1) knowledge distillation (1) multimodal learning (1) representation learning (1) federated learning (1)

Papers

FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus AAAI 2026 Prompt Yourself: Awakening Textual Semantics in 1D Visual Tokenizers CVPR 2026 Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation CVPR 2026 Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction MICCAI 2025 MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization MICCAI 2025 MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation CVPR 2025 Token Activation Map to Visually Explain Multimodal LLMs ICCV 2025 VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction MICCAI 2025 C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction CVPR 2024 HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis MICCAI 2024 Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction MICCAI 2024 Robustness-Guided Image Synthesis for Data-Free Quantization AAAI 2024 Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images MICCAI 2024 CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NeurIPS 2023 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 Towards Distribution-Agnostic Generalized Category Discovery NeurIPS 2023 Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation MIDL 2022 Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation AAAI 2022 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