Min Cen

5 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 🗺️ Taxonomy Completionist (11) 🚀 Conference Pioneer

Venues

AAAI (2) MICCAI (2) ICCV (1)

Top co-authors

Baptiste Magnier (4) Liansheng Wang (4) Hong Zhang (3) Lequan Yu (3) Zhenfeng Zhuang (3) Zheng Wang (2) Weiwei Wei (1) Kai Tan (1) Zhen Bao (1) Hong Liu (1)

Research topics

Deep Learning (2) Machine Learning (2) Learning Types · Machine Learning (2) Models (2) Artificial Intelligence (1) Computer Vision (1) Healthcare & Medicine (1) Knowledge & Reasoning (1) Architectures (1) Clinical (1) Core AI (1) Domain-Specific (1) Learning Types · Deep Learning (1) Reasoning (1)

Keywords

graph neural network (2) representation learning (1) robotic manipulation (1) self-supervised learning (1) medical imaging (1) chain-of-thought reasoning (1) multiple instance learning (1) survival analysis (1) diffusion model (1) whole slide image (1) histopathology image (1) semantic disentangling (1) 3d spatial reasoning (1) ambiguous instruction (1) entity graph (1) causal inference (1) pose-object graph (1)

Papers

GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions AAAI 2026 C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis ICCV 2025 Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning AAAI 2025 Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation MICCAI 2025 ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction MICCAI 2024