activity
20192024
most citedSelf-supervised Learning on Graphs: Deep Insights and New Direction

111 citations · 380 across the 48 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.LG2022

Probabilistic Categorical Adversarial Attack & Adversarial Training

Han Xu, Pengfei He, Jie Ren +4

The existence of adversarial examples brings huge concern for people to apply Deep Neural Networks (DNNs) in safety-critical tasks. However, how to generate adversarial examples wi…

cs.CL2022

Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes

Jiahao Chen, Zitao Liu, Weiqi Luo

In this paper, we investigate the opportunities of automating the judgment process in online one-on-one math classes. We build a Wide & Deep framework to learn fine-grained predict…

cs.IR2022

A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning

Shuyan Huang, Qiongqiong Liu, Jiahao Chen +3

We propose a simple but effective method to recommend exercises with high quality and diversity for students. Our method is made up of three key components: (1) candidate generatio…

cs.CL2022

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners

Qiongqiong Liu, Yaying Huang, Zitao Liu +6

Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options. SC questions are widely…

cs.CL2022

DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments

Jiahao Chen, Shuyan Huang, Zitao Liu +1

Online dialogic instructions are a set of pedagogical instructions used in real-world online educational contexts to motivate students, help understand learning materials, and buil…

cs.LG2022★ 30 cited

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Zitao Liu, Qiongqiong Liu, Jiahao Chen +3

Knowledge tracing (KT) is the task of using students' historical learning interaction data to model their knowledge mastery over time so as to make predictions on their future inte…