Maoguo Gong
17 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (4) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (43)
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Conference Polyglot
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Academic Marathon
(8)
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Renaissance Researcher
(5)
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Dynamic Duo
(11)
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Prolific Year
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Century Club
(17)
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Keyword Collector
(95)
Conferences
AAAI (9)
IJCAI (4)
CVPR (3)
ICML (1)
Top co-authors
Keywords
3d vision
(3)
diffusion model
(3)
point cloud registration
(3)
unsupervised learning
(3)
point cloud
(3)
change detection
(2)
neural network optimization
(2)
convolutional neural network
(2)
remote sensing
(2)
unsupervised feature learning
(1)
feature learning
(1)
autonomous driving
(1)
representation learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
link prediction
(1)
feature disentanglement
(1)
human pose estimation
(1)
natural gradient
(1)
unsupervised clustering
(1)
Papers
Partial Point Cloud Registration with Multi-view 2D Image Learning
AAAI 2025
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
AAAI 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
AAAI 2025
Disentangled Pose and Appearance Guidance for Multi-Pose Generation
CVPR 2025
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
AAAI 2025
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
AAAI 2025
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking
AAAI 2024
Entropy Induced Pruning Framework for Convolutional Neural Networks
AAAI 2024
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
AAAI 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
AAAI 2024
Inlier Confidence Calibration for Point Cloud Registration
CVPR 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
Self-paced Convolutional Neural Networks
IJCAI 2017
Modeling Hebb Learning Rule for Unsupervised Learning
IJCAI 2017
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework
IJCAI 2017