Danny Chen
10 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (27) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(8)
Deep Learning
(7)
Core Methods
(6)
Computer Vision
(5)
Architectures
(5)
Application Areas
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Processing
(2)
Techniques
(2)
Keywords
ordinal regression
(4)
deep learning
(3)
tabular data
(2)
image classification
(1)
transfer learning
(1)
hierarchical classification
(1)
class imbalance
(1)
zero-shot generalization
(1)
imbalanced classification
(1)
hierarchical representation
(1)
label hierarchy
(1)
sequence prediction
(1)
generative model
(1)
autoregressive model
(1)
deep neural network
(1)
monocular depth estimation
(1)
image generation
(1)
controllable generation
(1)
model quantization
(1)
model compression
(1)
Papers
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
IJCAI 2025
PCA-YOLO: A Small Liver Tumor Detection Model with Patch-Contrastive Attention
MIDL 2025
Scalable Autoregressive Monocular Depth Estimation
CVPR 2025
Making Pre-trained Language Models Great on Tabular Prediction
ICLR 2024
MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst
MIDL 2024
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
ICCV 2023
Robust Image Ordinal Regression with Controllable Image Generation
IJCAI 2023
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
ICLR 2023
Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification
EMNLP 2023
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
CVPR 2018