Minghua Deng
14 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(4)
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(83)
Top co-authors
Research topics
Machine Learning
(13)
Learning Types Β· Machine Learning
(13)
Deep Learning
(10)
Core Methods
(8)
Learning Types Β· Deep Learning
(8)
Artificial Intelligence
(5)
Application Areas
(4)
Learning Paradigms
(4)
Computer Vision
(2)
Healthcare & Medicine
(2)
Analysis
(2)
Architectures
(2)
Models
(2)
Research
(2)
Computer Science
(1)
Keywords
contrastive learning
(7)
universal domain adaptation
(4)
cell type annotation
(3)
representation learning
(2)
uncertainty quantification
(2)
feature alignment
(2)
domain adaptation
(2)
single-cell rna sequencing
(2)
graph neural network
(2)
hash code
(2)
uncertainty modeling
(1)
graph classification
(1)
image retrieval
(1)
open-set classification
(1)
graph laplacian
(1)
graph clustering
(1)
test-time adaptation
(1)
embedding space
(1)
multi-label classification
(1)
self-supervised learning
(1)
Papers
STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models
CVPR 2026
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
AAAI 2025
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering
ACL 2025
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data
IJCAI 2024
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data
AAAI 2023
Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data
IJCAI 2023
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
AAAI 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation
CVPR 2022
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval
IJCAI 2022
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation
AAAI 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
AAAI 2022
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
IJCAI 2022
CIMON: Towards High-quality Hash Codes
IJCAI 2021
Graph Contrastive Clustering
ICCV 2021