activity
20202023
most citedAn Improved Semi-Supervised VAE for Learning Disentangled Representations

5 citations · 15 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2021

Math Operation Embeddings for Open-ended Solution Analysis and Feedback

Mengxue Zhang, Zichao Wang, Richard Baraniuk +1

Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students…

cs.CY20215 cited

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev +9

This competition concerns educational diagnostic questions, which are pedagogically effective, multiple-choice questions (MCQs) whose distractors embody misconceptions. With a larg…

eess.SP2020

Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels

Sina Alemohammad, Hossein Babaei, Randall Balestriero +8

High dimensionality poses many challenges to the use of data, from visualization and interpretation, to prediction and storage for historical preservation. Techniques abound to red…

cs.CY2020

Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev +9

Digital technologies are becoming increasingly prevalent in education, enabling personalized, high quality education resources to be accessible by students across the world. Import…

cs.LG20205 cited

An Improved Semi-Supervised VAE for Learning Disentangled Representations

Weili Nie, Zichao Wang, Ankit B. Patel +1

Learning interpretable and disentangled representations is a crucial yet challenging task in representation learning. In this work, we focus on semi-supervised disentanglement lear…

stat.ML20205 cited

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics

Zichao Wang, Yi Gu, Andrew Lan +1

We propose VarFA, a variational inference factor analysis framework that extends existing factor analysis models for educational data mining to efficiently output uncertainty estim…