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Xiaoling Luo

19 papers · 2019–2026 · 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🀝 Dynamic Duo (12)
πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (90) ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

AAAI (12) MICCAI (2) ACL (1) CVPR (1) ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

Chengliang Liu (12) Yong Xu (10) Jie Wen (8) Linlin Shen (6) zhihao wu (4) QiHao Xu (4) Chao Huang (4) Wenting Chen (3) Yabo Liu (3) Jie Liu (3)

Research topics

Deep Learning (12) Machine Learning (10) Computer Vision (9) Learning Types Β· Deep Learning (8) Artificial Intelligence (7) Healthcare & Medicine (7) Architectures (7) Domain-Specific (7) Learning Types Β· Machine Learning (7) Clinical (6) Core AI (5) Core Methods (5) Generation (2) Learning Paradigms (2) Processing (2)

Keywords

medical imaging (6) multi-view learning (6) multi-label classification (4) representation learning (4) diabetic retinopathy (4) multimodal learning (3) fundus imaging (3) contrastive learning (2) retinal imaging (2) disease classification (2) multi-label learning (2) dynamic selection (2) video segmentation (1) speech recognition (1) attention mechanism (1) domain adaptation (1) medical image classification (1) self-supervised learning (1) feature learning (1) medical image segmentation (1)

Papers

Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models ACL 2026 EchoVDiff: Cardiac-Cycle Echocardiography Video Generation from Arbitrary Single Frame CVPR 2026 Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis AAAI 2026 Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis AAAI 2026 VPSentry: Semi-supervised Video Polyp Segmentation via Sentry-guided Long-term Prototype Fusion with Correlation Dynamic Propagation AAAI 2026 DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching AAAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training IJCAI 2025 Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading AAAI 2025 Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer ICML 2025 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024 GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph MICCAI 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024 Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network MICCAI 2024 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023 Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers AAAI 2023 Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NeurIPS 2023 MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network AAAI 2023 MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons AAAI 2019