Ge Wang
17 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
ποΈ
Keyword Collector
(59)
π
Trend Setter
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Natural Language Processing
(4)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Artificial Intelligence
(2)
Computer Vision
(2)
Healthcare & Medicine
(2)
Models
(2)
Processing
(2)
Resources & Methods
(2)
Understanding
(2)
Interdisciplinary
(1)
Keywords
semi-supervised learning
(3)
graph neural network
(2)
variational autoencoder
(2)
contrastive learning
(2)
dependency parsing
(2)
neural network
(2)
multilingual nlp
(1)
universal approximation
(1)
function approximation
(1)
universal dependencies
(1)
probabilistic matching
(1)
language identification
(1)
unsupervised parsing
(1)
bioinformatics
(1)
hierarchical structure
(1)
syntactic parsing
(1)
grammar induction
(1)
unsupervised representation learning
(1)
diffusion model
(1)
parameter sharing
(1)
Papers
3One2: One-Step Regression plus One-Step Diffusion for One-Hot Modulation in Dual-Path Video Snapshot Compressive Imaging
AAAI 2026
X-WIN: Building Chest Radiograph World Model via Predictive Sensing
CVPR 2026
Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
MICCAI 2025
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
MICCAI 2024
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
ICML 2024
Disease-informed Adaptation of Vision-Language Models
MICCAI 2024
Stratified GNN Explanations through Sufficient Expansion
AAAI 2024
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
CVPR 2023
Harnessing Hard Mixed Samples with Decoupled Regularizer
NeurIPS 2023
Quasi-Equivalence between Width and Depth of Neural Networks
JMLR 2023
DLME: Deep Local-Flatness Manifold Embedding
ECCV 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ICML 2022
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings
ACL 2022
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing
ACL 2021
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
ECCV 2020
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding
COLING 2020
Multilingual Grammar Induction with Continuous Language Identification
EMNLP 2019