Jiong Zhang
19 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(9)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(69)
💎
Century Club
(19)
🔥
Unstoppable
(5)
🚀
Conference Pioneer
Conferences
MICCAI (6)
ICML (5)
AISTATS (2)
NIPS (2)
ACL (1)
ICLR (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
recurrent neural network
(2)
semi-supervised learning
(2)
convex optimization
(2)
multiple sequence alignment
(2)
intent classification
(2)
few-shot learning
(2)
cross-domain adaptation
(2)
extreme multi-label classification
(2)
prototypical network
(2)
binary classification
(1)
data augmentation
(1)
collaborative filtering
(1)
cross-domain learning
(1)
distributed learning
(1)
stochastic optimization
(1)
convex relaxation
(1)
feature selection
(1)
representer theorem
(1)
efficient computing
(1)
domain adaptation
(1)
Papers
Cross-Modal Graph Learning for Perivascular Spaces Segmentation
MICCAI 2025
CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography
MICCAI 2025
A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement
MICCAI 2024
MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
MICCAI 2024
DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
MICCAI 2024
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
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
Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification
IJCNLP 2021
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
NIPS 2021
Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification
ACL 2021
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
NIPS 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