Wei Cao
14 papers · 2015–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π§
Keyword Pioneer
π
Trend Setter
π
Renaissance Researcher
(6)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(7)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Architectures
(4)
Artificial Intelligence
(3)
Data Science & Analytics
(3)
Methods
(3)
Computer Vision
(2)
Application Areas
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Keywords
graph neural network
(2)
time series forecasting
(2)
contrastive learning
(1)
ensemble learning
(1)
feature selection
(1)
attention mechanism
(1)
named entity recognition
(1)
non-rigid shape
(1)
sample complexity
(1)
point cloud
(1)
event argument extraction
(1)
deep learning
(1)
message passing
(1)
motion capture
(1)
document-level extraction
(1)
multi-task learning
(1)
temporal dependencies
(1)
shape reconstruction
(1)
missing value imputation
(1)
neural network architecture
(1)
Papers
Deep Learning for Multivariate Time Series Imputation: A Survey
IJCAI 2025
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
AAAI 2025
Pseudo-Simulation for Autonomous Driving
CoRL 2025
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
CVPR 2024
OpenFE: Automated Feature Generation with Expert-level Performance
ICML 2023
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
ICLR 2022
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
NeurIPS 2022
Revisiting the Evaluation of End-to-end Event Extraction
ACL 2021
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
NeurIPS 2020
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
AAAI 2020
Relational State-Space Model for Stochastic Multi-Object Systems
ICLR 2020
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
EMNLP 2019
BRITS: Bidirectional Recurrent Imputation for Time Series
NeurIPS 2018
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
NeurIPS 2015