Binwu Wang
9 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π§ Keyword Pioneer π Conference Polyglot (5) π Interdisciplinary Bridge π Renaissance Researcher (7)
πΊοΈ
Taxonomy Completionist
(21)
π
Grand Slam
Conferences
AAAI (2)
IJCAI (2)
NIPS (2)
ACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
graph neural network
(4)
large language model
(2)
traffic prediction
(2)
time series forecasting
(2)
representation learning
(2)
graph classification
(1)
continual learning
(1)
transformer architecture
(1)
neural network optimization
(1)
data augmentation
(1)
multi-scale analysis
(1)
reinforcement learning
(1)
noise reduction
(1)
multivariate time series
(1)
long-tailed distribution
(1)
knowledge distillation
(1)
zero-shot generalization
(1)
imbalanced datum
(1)
automatic search
(1)
dynamic graph
(1)
Papers
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
AAAI 2026
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
ACL 2026
Robust Spatio-Temporal Centralized Interaction for OOD Learning
ICML 2025
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
IJCAI 2025
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
IJCAI 2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
NIPS 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
AAAI 2024
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
ICLR 2024
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
NIPS 2023