Jiong Zhang
18 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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(1)
Keywords
multiple sequence alignment
(2)
extreme multi-label classification
(2)
recurrent neural network
(2)
convex optimization
(2)
semi-supervised learning
(1)
few-shot learning
(1)
stochastic optimization
(1)
domain adaptation
(1)
link prediction
(1)
variational inference
(1)
feature selection
(1)
collaborative filtering
(1)
self-supervised learning
(1)
data augmentation
(1)
multi-label classification
(1)
cross-domain learning
(1)
distributed learning
(1)
intent classification
(1)
neural network optimization
(1)
binary classification
(1)
Papers
CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography
MICCAI 2025
Cross-Modal Graph Learning for Perivascular Spaces Segmentation
MICCAI 2025
A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement
MICCAI 2024
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
MICCAI 2024
DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
MICCAI 2024
MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
MICCAI 2024
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
ICML 2023
Representer Point Selection for Explaining Regularized High-dimensional Models
ICML 2023
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
ICLR 2022
PECOS: Prediction for Enormous and Correlated Output Spaces
JMLR 2022
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
NeurIPS 2021
Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification
ACL 2021
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
NeurIPS 2019
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models
AISTATS 2019
Learning Long Term Dependencies via Fourier Recurrent Units
ICML 2018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
ICML 2018
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition
AISTATS 2017
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
ICML 2016