Hao Ding
14 papers · 2017–2025 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (44)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(74)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(7)
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Artificial Intelligence
(7)
Computer Vision
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Core AI
(4)
Core Methods
(3)
Learning Paradigms
(3)
Robotics
(2)
Analysis
(2)
Application Areas
(2)
Capabilities
(2)
Domain-Specific
(2)
Keywords
self-supervised learning
(2)
recommender system
(2)
graph neural network
(2)
attention mechanism
(2)
object detection
(2)
representation learning
(2)
semantic segmentation
(2)
few-shot learning
(2)
reinforcement learning
(1)
feature extraction
(1)
volume rendering
(1)
graph classification
(1)
active learning
(1)
embedding learning
(1)
3d vision
(1)
domain adaptation
(1)
knowledge distillation
(1)
graph representation learning
(1)
link prediction
(1)
motion planning
(1)
Papers
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
MICCAI 2025
DaReNeRF: Direction-aware Representation for Dynamic Scenes
CVPR 2024
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images
ECCV 2024
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
AAAI 2024
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract)
AAAI 2024
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention
WACV 2023
Personalized federated domain adaptation for item-to-item recommendation
UAI 2023
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract)
AAAI 2023
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
AAAI 2022
Deeply Shape-Guided Cascade for Instance Segmentation
CVPR 2021
Influence Selection for Active Learning
ICCV 2021
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
AAAI 2020
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
IJCAI 2019
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification
CVPR 2017