Dongdong Wang
9 papers · 2020–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Models
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
causal inference
(3)
credit risk
(2)
treatment effect
(2)
time series forecasting
(2)
machine learning
(2)
knowledge distillation
(2)
model calibration
(1)
model security
(1)
representation learning
(1)
model interpretability
(1)
confidence calibration
(1)
policy evaluation
(1)
adversarial attack
(1)
diffusion model
(1)
recurrent neural network
(1)
long short-term memory
(1)
mixture model
(1)
adversarial perturbation
(1)
latent diffusion
(1)
data augmentation
(1)
Papers
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
CVPR 2024
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
NeurIPS 2024
The Causal Impact of Credit Lines on Spending Distributions
AAAI 2024
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
IJCAI 2023
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm
CVPR 2023
Towards Balanced Representation Learning for Credit Policy Evaluation
AISTATS 2023
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
AAAI 2021
The Causal Learning of Retail Delinquency
AAAI 2021
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model
CVPR 2020