Yaoming Wang
19 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (43) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
🤝
Dynamic Duo
(16)
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Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(10)
Application Areas
(8)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(7)
Computer Vision
(7)
Core AI · Artificial Intelligence
(6)
Architectures
(5)
Models
(5)
Analysis
(4)
Optimization & Theory
(3)
Processing
(3)
Core AI · Computer Vision
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Keywords
representation learning
(3)
contrastive learning
(3)
vision-language model
(3)
autoregressive generation
(3)
transfer learning
(2)
vision transformer
(2)
gaze estimation
(2)
neural architecture search
(2)
unsupervised learning
(2)
parameter-efficient fine-tuning
(2)
semantic segmentation
(1)
variational inference
(1)
domain adaptation
(1)
object detection
(1)
one-shot learning
(1)
domain generalization
(1)
image generation
(1)
natural language generation
(1)
knowledge distillation
(1)
mathematical reasoning
(1)
Papers
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation
CVPR 2026
Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers
CVPR 2026
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
ICCV 2025
Noise Conditional Variational Score Distillation
ICML 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
EMNLP 2025
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
ICLR 2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
ICML 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
ICLR 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
ECCV 2024
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
CVPR 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
NeurIPS 2023
Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis
EACL 2023
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
ICLR 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
CVPR 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing
ICCV 2023
Contrastive Regression for Domain Adaptation on Gaze Estimation
CVPR 2022
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
IJCAI 2020