Dazhong Shen
14 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27)
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Deep Learning
(8)
Machine Learning
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Models
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Artificial Intelligence
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Core AI
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Computer Vision
(4)
Core Methods
(4)
Generation
(3)
Learning Types · Machine Learning
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Learning Types · Deep Learning
(3)
Natural Language Processing
(2)
Application Areas
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Architectures
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Optimization & Theory
(2)
Applications
(1)
Keywords
diffusion model
(4)
latent space
(3)
text-to-image generation
(3)
image generation
(2)
generative model
(2)
self-supervised learning
(1)
graph generation
(1)
video generation
(1)
multimodal learning
(1)
topic modeling
(1)
embedding learning
(1)
data augmentation
(1)
model adaptation
(1)
semantic alignment
(1)
message passing
(1)
flow matching
(1)
score matching
(1)
unsupervised representation learning
(1)
knowledge graph
(1)
text-to-image synthesis
(1)
Papers
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
AAAI 2026
LiDAR-to-4DRadar Diffusion Bridge via Cross-Modal Alignment and Translation in Latent Space
CVPR 2026
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
AAAI 2026
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
ICML 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
ICCV 2025
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
ECCV 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
NeurIPS 2024
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
IJCAI 2024
MoVA: Adapting Mixture of Vision Experts to Multimodal Context
NeurIPS 2024
Phased Consistency Models
NeurIPS 2024
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
CVPR 2024
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
IJCAI 2021
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
NeurIPS 2021
A Joint Learning Approach to Intelligent Job Interview Assessment
IJCAI 2018