213 citations · 264 across the 10 of their papers we have counts for
6 papers · 1 filter
Learning Data Teaching Strategies Via Knowledge Tracing
Ghodai Abdelrahman, Qing Wang
Teaching plays a fundamental role in human learning. Typically, a human teaching strategy would involve assessing a student's knowledge progress for tailoring the teaching material…
A Regularized Wasserstein Framework for Graph Kernels
Asiri Wijesinghe, Qing Wang, Stephen Gould
We propose a learning framework for graph kernels, which is theoretically grounded on regularizing optimal transport. This framework provides a novel optimal transport distance met…
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
Ghodai Abdelrahman, Qing Wang
Tracing a student's knowledge is vital for tailoring the learning experience. Recent knowledge tracing methods tend to respond to these challenges by modelling knowledge state dyna…
The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems
Qing Wang
In today's business marketplace, many high-tech Internet enterprises constantly explore innovative ways to provide optimal online user experiences for gaining competitive advantage…
Episode Adaptive Embedding Networks for Few-shot Learning
Fangbing Liu, Qing Wang
Few-shot learning aims to learn a classifier using a few labelled instances for each class. Metric-learning approaches for few-shot learning embed instances into a high-dimensional…
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Sean Li, Dongwoo Kim, Qing Wang
Graph neural networks (GNNs) have been extensively studied for prediction tasks on graphs. As pointed out by recent studies, most GNNs assume local homophily, i.e., strong similari…