Maoguo Gong
19 papers · 2017–2026 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (42)
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Topic Evolution
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Dynamic Duo
(13)
ποΈ
Keyword Collector
(105)
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Century Club Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(13)
Computer Vision
(11)
Deep Learning
(11)
Analysis
(9)
Processing
(7)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Architectures
(4)
Learning Types Β· Deep Learning
(4)
Artificial Intelligence
(3)
Models
(3)
Optimization & Theory
(3)
Application Areas
(2)
Core AI
(2)
Domain-Specific
(2)
Keywords
point cloud registration
(5)
3d vision
(3)
unsupervised learning
(3)
diffusion model
(3)
point cloud
(3)
change detection
(3)
remote sensing
(3)
neural network optimization
(2)
correspondence matching
(2)
convolutional neural network
(2)
autonomous driving
(1)
unsupervised feature learning
(1)
feature learning
(1)
representation learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
link prediction
(1)
feature disentanglement
(1)
class imbalance
(1)
human pose estimation
(1)
Papers
MHopReg: Efficient Hierarchical Multi-Hop Graph Search for Point Cloud Registration
CVPR 2026
SRGCD: Stability-Driven Region Growth Framework for 3D Change Detection
CVPR 2026
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
AAAI 2025
Disentangled Pose and Appearance Guidance for Multi-Pose Generation
CVPR 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
AAAI 2025
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
AAAI 2025
Partial Point Cloud Registration with Multi-view 2D Image Learning
AAAI 2025
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
AAAI 2025
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
AAAI 2024
Entropy Induced Pruning Framework for Convolutional Neural Networks
AAAI 2024
Inlier Confidence Calibration for Point Cloud Registration
CVPR 2024
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking
AAAI 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
AAAI 2024
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
ICML 2024
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature
CVPR 2021
Feature Hashing for Network Representation Learning
IJCAI 2018
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework
IJCAI 2017
Modeling Hebb Learning Rule for Unsupervised Learning
IJCAI 2017
Self-paced Convolutional Neural Networks
IJCAI 2017