30 citations · 60 across the 12 of their papers we have counts for
12 papers
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen, Yurou Liu, Jiangmeng Li +2
Molecular representation learning is a crucial task in predicting molecular properties. Molecules are often modeled as graphs where atoms and chemical bonds are represented as node…
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression
Jiexin Wang, Jiahao Chen, Bing Su
Auto-evaluation aims to automatically evaluate a trained model on any test dataset without human annotations. Most existing methods utilize global statistics of features extracted…
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Jiahao Chen, Zitao Liu, Shuyan Huang +2
Knowledge tracing (KT) is a crucial technique to predict students' future performance by observing their historical learning processes. Due to the powerful representation ability o…
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Zitao Liu, Qiongqiong Liu, Jiahao Chen +2
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recently, many works pres…
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Zitao Liu, Qiongqiong Liu, Jiahao Chen +4
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recent studies have appli…
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…
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…
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…
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…
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
Jiahao Chen, Hang Li, Wenbiao Ding +1
In this paper, we propose a simple yet effective solution to build practical teacher recommender systems for online one-on-one classes. Our system consists of (1) a pseudo matching…
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
Gale Yan Huang, Jiahao Chen, Haochen Liu +6
Asking questions is one of the most crucial pedagogical techniques used by teachers in class. It not only offers open-ended discussions between teachers and students to exchange id…
A Multimodal Alerting System for Online Class Quality Assurance
Jiahao Chen, Hang Li, Wenxin Wang +3
Online 1 on 1 class is created for more personalized learning experience. It demands a large number of teaching resources, which are scarce in China. To alleviate this problem, we…