Qiangguo Jin

6 papers · 2024–2026 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🚀 Conference Pioneer

Venues

CVPR (3) MICCAI (2) AAAI (1)

Top co-authors

Ran Su (3) Hui Cui (3) Leyi Wei (3) Ping Xuan (2) Changming Sun (2) Jialiang Yang (2) Junlin Xu (2) Feifei Cui (2) Yajie Meng (2) Zhiyuan Ning (1)

Research topics

Healthcare & Medicine (3) Clinical (3) Computer Vision (2) Deep Learning (2) Learning Types · Deep Learning (2) Processing (2) Artificial Intelligence (1) Machine Learning (1) Domain-Specific (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Research (1)

Keywords

medical image segmentation (2) hypergraph learning (1) attention mechanism (1) multimodal learning (1) unsupervised domain adaptation (1) semantic alignment (1) state space model (1) mamba architecture (1) mixture of expert (1) cross-domain generalization (1) zero-shot classification (1) whole slide image (1) survival prediction (1) hierarchical attention (1) multimodal contrastive learning (1) cross-modality adaptation (1) spatial continuity (1) electrocardiogram diagnosis (1) feature alignment (1) pseudo-label validation (1)

Papers

EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation AAAI 2026 MDCS-MoAME: Multi-directional Composite Scanning with Mixture of Attention and Mamba Experts for Cancer Survival Prediction CVPR 2026 SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation CVPR 2026 TAMER: A Tri-Modal Contrastive Alignment and Multi-Scale Embedding Refinement Framework for Zero-Shot ECG Diagnosis CVPR 2026 A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis MICCAI 2024 Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones MICCAI 2024