Mucong Ding | DeepAI

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∙ 06/26/2022

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

The increasing reliance on ML models in high-stakes tasks has raised a m...

19 Bang An, et al. ∙

∙ 10/27/2021

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

Most state-of-the-art Graph Neural Networks (GNNs) can be defined as a f...

31 Mucong Ding, et al. ∙

∙ 04/12/2021

Understanding Overparameterization in Generative Adversarial Networks

A broad class of unsupervised deep learning methods such as Generative A...

0 Yogesh Balaji, et al. ∙

∙ 03/02/2020

Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs

GANs for time series data often use sliding windows or self-attention to...

0 Mucong Ding, et al. ∙

∙ 12/12/2018

Selection of Random Walkers that Optimizes the Global Mean First-Passage Time for Search in Complex Networks

We design a method to optimize the global mean first-passage time (GMFPT...

0 Mucong Ding, et al. ∙

∙ 12/12/2018

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses

The effectiveness of learning in massive open online courses (MOOCs) can...

0 Mucong Ding, et al. ∙

∙ 12/12/2018

Transfer Learning using Representation Learning in Massive Online Open Courses

In MOOCs predictive models of student behavior support many aspects of l...

4 Mucong Ding, et al. ∙

∙ 12/12/2018

Transfer Learning using Representation Learning in Massive Open Online Courses

In a Massive Open Online Course (MOOC), predictive models of student beh...

0 Mucong Ding, et al. ∙

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