Haonan Lin
10 papers · 2024–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Computer Vision
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Deep Learning
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Models
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Artificial Intelligence
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Machine Learning
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Generation
(4)
Core AI
(3)
Core Methods
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Processing
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Computer Science
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Analysis
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Keywords
diffusion model
(5)
attention mechanism
(3)
semi-supervised learning
(2)
text-to-image diffusion
(2)
image editing
(2)
generalized category discovery
(2)
image generation
(2)
subject consistency
(2)
cluster analysis
(1)
transfer learning
(1)
contrastive learning
(1)
computer graphics
(1)
visual grounding
(1)
text-to-image generation
(1)
multimodal learning
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vision-language model
(1)
knowledge distillation
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text-to-image model
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pattern recognition
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category discovery
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Papers
Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling
ICLR 2025
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
CVPR 2025
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
AAAI 2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
AAAI 2025
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation
CVPR 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NeurIPS 2024
Generalized Category Discovery with Large Language Models in the Loop
ACL 2024
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
NeurIPS 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
NeurIPS 2024
Timestep-Aware Correction for Quantized Diffusion Models
ECCV 2024