Jungang Xu
7 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🧭 Keyword Pioneer
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Research topics
Deep Learning
(6)
Machine Learning
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Architectures
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Learning Types · Deep Learning
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Artificial Intelligence
(2)
Computer Science
(2)
Natural Language Processing
(2)
Application Areas
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Core AI
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Core Methods
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Applications · Computer Science
(1)
Applications · Natural Language Processing
(1)
Foundations
(1)
Keywords
graph neural network
(2)
neural architecture search
(2)
contrastive learning
(1)
zero-shot learning
(1)
self-attention mechanism
(1)
ensemble learning
(1)
information retrieval
(1)
multimodal learning
(1)
image captioning
(1)
visual representation
(1)
multimodal retrieval
(1)
semantic similarity
(1)
self-supervised pretraining
(1)
masked autoencoder
(1)
architecture predictor
(1)
performance prediction
(1)
sentence embedding
(1)
contrastive representation learning
(1)
neural information retrieval
(1)
neural retrieval
(1)
Papers
Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss
AAAI 2026
L2Dir: Integrating L_2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval
ACL 2026
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
AAAI 2025
A Neural Architecture Predictor based on GNN-Enhanced Transformer
AISTATS 2024
End-to-End Transformer Based Model for Image Captioning
AAAI 2022
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search
IJCAI 2022
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
EMNLP 2018