Shenda Hong
17 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(13)
Deep Learning
(10)
Learning Types Β· Machine Learning
(9)
Core Methods
(8)
Architectures
(6)
Artificial Intelligence
(4)
Core AI
(4)
Techniques
(4)
Data Science & Analytics
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Computer Vision
(2)
Application Areas
(2)
Keywords
self-supervised learning
(6)
contrastive learning
(5)
representation learning
(3)
frozen language model
(2)
knowledge distillation
(2)
diffusion model
(2)
graph neural network
(2)
domain adaptation
(1)
attention mechanism
(1)
transfer learning
(1)
medical imaging
(1)
graph representation learning
(1)
time series classification
(1)
data augmentation
(1)
few-shot learning
(1)
graph representation
(1)
text-to-image generation
(1)
structure learning
(1)
image synthesis
(1)
multimodal learning
(1)
Papers
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
ICLR 2025
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
ICLR 2025
Retrieval-Augmented Diffusion Models for Time Series Forecasting
NeurIPS 2024
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
ICLR 2024
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
ICLR 2024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
ICLR 2024
Frozen Language Model Helps ECG Zero-Shot Learning
MIDL 2023
Improving Diffusion-Based Image Synthesis with Context Prediction
NeurIPS 2023
Hypergraph Structure Learning for Hypergraph Neural Networks
IJCAI 2022
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals
AAAI 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
ICML 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
ICML 2022
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
IJCAI 2021
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
IJCAI 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
IJCAI 2019
RDPD: Rich Data Helps Poor Data via Imitation
IJCAI 2019
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction
ACML 2018