Dongdong Wang
9 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (13) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(21)
π£
Hot Topic Early Bird
Conferences
AAAI (3)
CVPR (3)
AISTATS (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
causal inference
(3)
knowledge distillation
(2)
credit risk
(2)
machine learning
(2)
treatment effect
(2)
model calibration
(1)
model security
(1)
representation learning
(1)
time series forecasting
(1)
confidence calibration
(1)
policy evaluation
(1)
adversarial attack
(1)
diffusion model
(1)
mixture model
(1)
selection bia
(1)
latent diffusion
(1)
adversarial perturbation
(1)
latent diffusion model
(1)
satellite imagery
(1)
data augmentation
(1)
Papers
The Causal Impact of Credit Lines on Spending Distributions
AAAI 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NIPS 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
CVPR 2024
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
IJCAI 2023
Towards Balanced Representation Learning for Credit Policy Evaluation
AISTATS 2023
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm
CVPR 2023
The Causal Learning of Retail Delinquency
AAAI 2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
AAAI 2021
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model
CVPR 2020