8 citations · 8 across the 4 of their papers we have counts for
5 papers
Closing the Confusion Loop: CLIP-Guided Alignment for Source-Free Domain Adaptation
Shanshan Wang, Ziying Feng, Xiaozheng Shen +4
Source-Free Domain Adaptation (SFDA) tackles the problem of adapting a pre-trained source model to an unlabeled target domain without accessing any source data, which is quite suit…
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process
Shanshan Wang, Xueying Zhang, Keyang Wang +2
The Knowledge Tracing (KT) task focuses on predicting a learner's future performance based on the historical interactions. The knowledge state plays a key role in learning process.…
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation
Shanshan Wang, Hao Zhou, Xun Yang +4
Unsupervised domain adaptation (UDA) is a critical problem for transfer learning, which aims to transfer the semantic information from labeled source domain to unlabeled target dom…
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
Shanshan Wang, Ying Hu, Xun Yang +3
Knowledge Tracing (KT) aims to trace changes in students' knowledge states throughout their entire learning process by analyzing their historical learning data and predicting their…
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
Shanshan Wang, Zhen Zeng, Xun Yang +1
Cognitive diagnosis is a fundamental yet critical research task in the field of intelligent education, which aims to discover the proficiency level of different students on specifi…