Zedong Wang
11 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (10) 🏆 Grand Slam
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Machine Learning
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Deep Learning
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Architectures
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Computer Vision
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Core Methods
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Artificial Intelligence
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Core AI
(3)
Models
(3)
Optimization & Theory · Machine Learning
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Processing
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Application Areas
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Optimization & Theory · Deep Learning
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Techniques
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Keywords
representation learning
(3)
vector quantization
(3)
state space model
(2)
linear attention
(2)
multi-task learning
(1)
image generation
(1)
benchmark evaluation
(1)
video frame prediction
(1)
vision transformer
(1)
image reconstruction
(1)
image dehazing
(1)
image editing
(1)
human pose estimation
(1)
pseudo labeling
(1)
divide and conquer
(1)
object detection
(1)
prior knowledge
(1)
shared representation
(1)
learning rate
(1)
style transfer
(1)
Papers
CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing
CVPR 2026
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
CVPR 2025
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing
AAAI 2025
Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
ICCV 2025
Taming LLMs with Gradient Grouping
ACL 2025
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
IJCAI 2024
MogaNet: Multi-order Gated Aggregation Network
ICLR 2024
SemiReward: A General Reward Model for Semi-supervised Learning
ICLR 2024
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
ICML 2024
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
ICML 2024
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NeurIPS 2023