Hongyuan Zhang
13 papers · 2025–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (36)
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Interdisciplinary Bridge
β
Rising Star
(9)
ποΈ
Keyword Collector
(66)
β‘
Prolific Year
(9)
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Century Club
(13)
β
The Questioner
Conferences
AAAI (7)
CVPR (2)
ACL (1)
ICCV (1)
ICML (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
self-supervised learning
(2)
graph neural network
(2)
large language model
(2)
generative model
(2)
variational inference
(2)
noise injection
(2)
graph contrastive learning
(2)
few-shot learning
(1)
benchmark evaluation
(1)
contrastive learning
(1)
symbolic reasoning
(1)
robotic manipulation
(1)
graph representation learning
(1)
vision-language alignment
(1)
link prediction
(1)
model aggregation
(1)
text-to-image generation
(1)
imitation learning
(1)
cross-modal representation
(1)
image synthesis
(1)
Papers
Rectified Noise: A Generative Model Using Positive-incentive Noise
AAAI 2026
Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers
AAAI 2026
CoLM: Collaborative Large Models via a Client-Server Paradigm
AAAI 2026
Explore How to Inject Beneficial Noise in MLLMs
AAAI 2026
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
CVPR 2025
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
CVPR 2025
Enhance Vision-Language Alignment with Noise
AAAI 2025
Learn Beneficial Noise as Graph Augmentation
ICML 2025
You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection
MICCAI 2025
Growing a Twig to Accelerate Large Vision-Language Models
ICCV 2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
AAAI 2025
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
AAAI 2025
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
ACL 2025