Binwu Wang
9 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(9)
Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Core AI
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
graph neural network
(4)
large language model
(2)
traffic prediction
(2)
time series forecasting
(2)
representation learning
(2)
data augmentation
(2)
continual learning
(1)
reinforcement learning
(1)
transformer architecture
(1)
knowledge distillation
(1)
neural network optimization
(1)
class imbalance
(1)
multi-scale analysis
(1)
image classification
(1)
multivariate time series
(1)
graph representation learning
(1)
distributionally robust optimization
(1)
dynamic graph
(1)
zero-shot generalization
(1)
noise reduction
(1)
Papers
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
ACL 2026
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
AAAI 2026
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
IJCAI 2025
Robust Spatio-Temporal Centralized Interaction for OOD Learning
ICML 2025
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
ICLR 2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
NeurIPS 2024
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
IJCAI 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
AAAI 2024
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
NeurIPS 2023