11 citations · 23 across the 10 of their papers we have counts for
5 papers · 1 filter
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
Shulei Qiu, Wanqi Yang, Ming Yang
Our research focuses on few-shot fine-grained image classification, which faces two major challenges: appearance similarity of fine-grained objects and limited number of samples. T…
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
Wanqi Yang, Haoran Wang, Lei Wang +3
Few-shot unsupervised domain adaptation (FS-UDA) leverages a limited amount of labeled data from a source domain to enable accurate classification in an unlabeled target domain. De…
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
Yuquan Xie, Shengtao Peng, Wanqi Yang +2
Knowledge Tracing (KT) is a critical task in online education systems, aiming to monitor students' knowledge states throughout a learning period. Common KT approaches involve predi…
Multi-level Reliable Guidance for Unpaired Multi-view Clustering
Like Xin, Wanqi Yang, Lei Wang +1
In this thesis, we address the challenging problem of unpaired multi-view clustering (UMC), which aims to achieve effective joint clustering using unpaired samples observed across…
Unpaired Multi-view Clustering via Reliable View Guidance
Like Xin, Wanqi Yang, Lei Wang +1
This paper focuses on unpaired multi-view clustering (UMC), a challenging problem where paired observed samples are unavailable across multiple views. The goal is to perform effect…