Jun-Hai Yong
12 papers · 2021–2026 · 4 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (41)
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Research topics
Computer Vision
(9)
Deep Learning
(9)
Machine Learning
(9)
Analysis
(6)
Application Areas
(6)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
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Architectures
(2)
Generation
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Optimization & Theory
(2)
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Computer Science
(1)
Keywords
diffusion model
(3)
semantic segmentation
(2)
open-set learning
(2)
adversarial attack
(2)
3d reconstruction
(2)
knowledge distillation
(2)
black-box attack
(2)
3d object retrieval
(2)
motion estimation
(1)
feature embedding
(1)
hypergraph learning
(1)
efficient inference
(1)
query efficiency
(1)
neural network optimization
(1)
code generation
(1)
data augmentation
(1)
performance optimization
(1)
boundary detection
(1)
gradient optimization
(1)
model pruning
(1)
Papers
DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
AAAI 2026
Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval
NeurIPS 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
NeurIPS 2024
Distribution-Aware Data Expansion with Diffusion Models
NeurIPS 2024
Relightable and Animatable Neural Avatars from Videos
AAAI 2024
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph
NeurIPS 2024
W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation
AAAI 2024
Focused and Collaborative Feedback Integration for Interactive Image Segmentation
CVPR 2023
Low-Confidence Samples Mining for Semi-supervised Object Detection
IJCAI 2023
OcclusionFusion: Occlusion-Aware Motion Estimation for Real-Time Dynamic 3D Reconstruction
CVPR 2022
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
NeurIPS 2021
Simulating Unknown Target Models for Query-Efficient Black-Box Attacks
CVPR 2021