32 citations · 36 across the 5 of their papers we have counts for
5 papers
GypSum: Learning Hybrid Representations for Code Summarization
Yu Wang, Yu Dong, Xuesong Lu +1
Code summarization with deep learning has been widely studied in recent years. Current deep learning models for code summarization generally follow the principle in neural machine…
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model
Renyu Zhu, Dongxiang Zhang, Chengcheng Han +4
In this paper, we study knowledge tracing in the domain of programming education and make two important contributions. First, we harvest and publish so far the most comprehensive d…
A Comparison of Code Embeddings and Beyond
Siqi Han, DongXia Wang, Wanting Li +1
Program representation learning is a fundamental task in software engineering applications. With the availability of "big code" and the development of deep learning techniques, var…
Deep Knowledge Tracing with Learning Curves
Shanghui Yang, Mengxia Zhu, Xuesong Lu
Knowledge tracing (KT) has recently been an active research area of computational pedagogy. The task is to model students' mastery level of knowledge concepts based on their respon…
Discovering Traveling Companions using Autoencoders
Xiaochang Li, Bei Chen, Xuesong Lu
With the wide adoption of mobile devices, today's location tracking systems such as satellites, cellular base stations and wireless access points are continuously producing tremend…