Shuai Xiao
17 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(43)
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(73)
π
Century Club
(15)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
AAAI (3)
CVPR (3)
ECCV (2)
ICML (2)
IJCAI (2)
NIPS (2)
AISTATS (1)
ICCV (1)
ICLR (1)
Top co-authors
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)
multi-modal learning
(1)
unsupervised domain adaptation
(1)
pseudo labeling
(1)
neural network analysis
(1)
community detection
(1)
network visualization
(1)
wasserstein distance
(1)
Papers
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
AAAI 2026
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation
AAAI 2026
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
ICML 2025
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training
CVPR 2025
Inner Information Analysis Algorithm for Deep Neural Network based on Community
ICLR 2025
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
ICML 2025
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models
ECCV 2024
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
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
NIPS 2018
Wasserstein Learning of Deep Generative Point Process Models
NIPS 2017
On Modeling and Predicting Individual Paper Citation Count over Time
IJCAI 2016
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior
IJCAI 2016