Publications (6)
Tri-Branch Convolutional Neural Networks for Top- Focused Academic Performance Prediction
Chaoran Cui, Jian Zong, Yuling Ma +4
Academic performance prediction aims to leverage student-related information to predict their future academic outcomes, which is beneficial to numerous educational applications, su…
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
Chaoran Cui, Yumo Yao, Chunyun Zhang +5
Knowledge tracing aims to trace students' evolving knowledge states by predicting their future performance on concept-related exercises. Recently, some graph-based models have been…
MetaViewer: Towards A Unified Multi-View Representation
Ren Wang, Haoliang Sun, Yuling Ma +2
Existing multi-view representation learning methods typically follow a specific-to-uniform pipeline, extracting latent features from each view and then fusing or aligning them to o…
EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification
Weiye Dai, Liyun Shi, Zanxiang He +4
Multimodal artificial intelligence models for endometrial cancer (EC) risk stratification typically optimize aggregate predictive performance but provide limited mechanisms for enf…
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
Chaoran Cui, Hebo Ma, Chen Zhang +4
Knowledge tracing (KT) aims to monitor students' evolving knowledge states through their learning interactions with concept-related questions, and can be indirectly evaluated by pr…
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
Ren Wang, Haoliang Sun, Qi Wei +3
Meta-learning methods typically follow a two-loop framework, where each loop potentially suffers from notorious overfitting, hindering rapid adaptation and generalization to new ta…