119 citations · 247 across the 12 of their papers we have counts for
12 papers
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Ning Ma, Jiajun Bu, Lixian Lu +4
Domain Adaptation has been widely used to deal with the distribution shift in vision, language, multimedia etc. Most domain adaptation methods learn domain-invariant features with…
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Ning Ma, Jiajun Bu, Zhen Zhang +1
Present domain adaptation methods usually perform explicit representation alignment by simultaneously accessing the source data and target data. However, the source data are not al…
Cross-modal Image Retrieval with Deep Mutual Information Maximization
Chunbin Gu, Jiajun Bu, Xixi Zhou +4
In this paper, we study the cross-modal image retrieval, where the inputs contain a source image plus some text that describes certain modifications to this image and the desired i…
Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li, Yixin Liu, Zhen Zhang +3
Graph neural networks (GNNs) have emerged as effective approaches for graph analysis, especially in the scenario of semi-supervised learning. Despite its success, GNN often suffers…
Matching Text with Deep Mutual Information Estimation
Xixi Zhou, Chengxi Li, Jiajun Bu +4
Text matching is a core natural language processing research problem. How to retain sufficient information on both content and structure information is one important challenge. In…
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma, Jiajun Bu, Jieyu Yang +5
Graph classification aims to extract accurate information from graph-structured data for classification and is becoming more and more important in graph learning community. Althoug…