Chee-Ming Ting
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(10)
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Conference Pioneer
Venues
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Research topics
Keywords
variational inference
(1)
transfer learning
(1)
brain connectivity
(1)
object detection
(1)
medical imaging
(1)
adversarial training
(1)
neural rendering
(1)
magnetic resonance imaging
(1)
optical flow
(1)
convolutional neural network
(1)
dynamic graph
(1)
novel view synthesis
(1)
brain tumor
(1)
3d gaussian
(1)
autism spectrum disorder
(1)
spatiotemporal model
(1)
pre-trained knowledge
(1)
small object detection
(1)
4d reconstruction
(1)
graph neural network
(1)
Papers
FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction
AAAI 2026
Adaptive Graph Learning with Multi-Graph Convolutions for Brain Disorder Classification
MICCAI 2025
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices
WACV 2025
T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
MICCAI 2025
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
IJCAI 2024
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
MICCAI 2024