Shuai Xiao
17 papers · 2016–2026 · 9 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.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Application Areas
(7)
Deep Learning
(6)
Computer Vision
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Models
(4)
Architectures
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Domain-Specific
(2)
Learning Paradigms
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
multimodal learning
(2)
contrastive learning
(1)
policy gradient
(1)
domain generalization
(1)
transfer learning
(1)
text classification
(1)
reinforcement learning
(1)
interpretability
(1)
machine-generated text detection
(1)
model compression
(1)
likelihood-free inference
(1)
autonomous driving
(1)
point cloud
(1)
unsupervised domain adaptation
(1)
pseudo labeling
(1)
neural network analysis
(1)
community detection
(1)
network visualization
(1)
deep learning
(1)
wasserstein distance
(1)
Papers
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation
AAAI 2026
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
AAAI 2026
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training
CVPR 2025
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
ICML 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
Inner Information Analysis Algorithm for Deep Neural Network based on Community
ICLR 2025
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
ICML 2025
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
AAAI 2024
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
CVPR 2024
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models
ECCV 2024
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment
ECCV 2024
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
AISTATS 2022
Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion
CVPR 2021
Learning Temporal Point Processes via Reinforcement Learning
NeurIPS 2018
Wasserstein Learning of Deep Generative Point Process Models
NeurIPS 2017
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior
IJCAI 2016
On Modeling and Predicting Individual Paper Citation Count over Time
IJCAI 2016