1 citations · 1 across the 5 of their papers we have counts for
5 papers
The Crowd in MOOCs: A Study of Learning Patterns at Scale
Xin Zhou, Aixin Sun, Jie Zhang +1
The increasing availability of learning activity data in Massive Open Online Courses (MOOCs) enables us to conduct a large-scale analysis of learners' learning behavior. In this pa…
Multimodal Pretraining and Generation for Recommendation: A Tutorial
Jieming Zhu, Chuhan Wu, Rui Zhang +1
Personalized recommendation stands as a ubiquitous channel for users to explore information or items aligned with their interests. Nevertheless, prevailing recommendation models pr…
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability
Xin Zhou, Chunyan Miao
Multimodal recommender systems amalgamate multimodal information (e.g., textual descriptions, images) into a collaborative filtering framework to provide more accurate recommendati…
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
Haochen Li, Xin Zhou, Zhiqi Shen
In code search, the Generation-Augmented Retrieval (GAR) framework, which generates exemplar code snippets to augment queries, has emerged as a promising strategy to address the pr…
Rethinking Negative Pairs in Code Search
Haochen Li, Xin Zhou, Luu Anh Tuan +1
Recently, contrastive learning has become a key component in fine-tuning code search models for software development efficiency and effectiveness. It pulls together positive code s…