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Chengliang Liu

22 papers · 2023–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6)
πŸ—ΊοΈ Taxonomy Completionist (41) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (4) 🀝 Dynamic Duo (16) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (97) πŸ’Ž Century Club (18)

Conferences

AAAI (14) ICML (4) IJCAI (2) CVPR (1) NIPS (1)

Top co-authors

Jie Wen (17) Yong Xu (13) Xiaoling Luo (12) Chao Huang (10) zhihao wu (5) Yabo Liu (5) QiHao Xu (4) Wei Wang (4) Waikeung Wong (3) Yuxin Lin (3)

Keywords

multi-view learning (8) representation learning (5) diabetic retinopathy (4) multi-label classification (4) fundus imaging (3) medical imaging (3) multimodal learning (2) retinal imaging (2) dynamic selection (2) multi-view clustering (2) disease classification (2) vision-language model (2) multi-label learning (2) multi-view multi-label classification (2) contrastive learning (2) medical image segmentation (2) incomplete multi-view (2) graph learning (1) vision transformer (1) label propagation (1)

Papers

Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis AAAI 2026 Detecting Fake News in Short Videos Through Multi-View Aggregation AAAI 2026 IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection AAAI 2026 Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis AAAI 2026 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training IJCAI 2025 Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases AAAI 2025 Multi-view Evidential Learning-based Medical Image Segmentation AAAI 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 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification ICML 2025 Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection IJCAI 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024 A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification AAAI 2024 Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures AAAI 2024 Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition ICML 2024 Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling ICML 2024 Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering CVPR 2023 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 MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network AAAI 2023 Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning NIPS 2023