9 citations · 11 across the 3 of their papers we have counts for
4 papers
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
Shengqi Huang, Wanqi Yang, Lei Wang +2
This paper investigates a valuable setting called few-shot unsupervised domain adaptation (FS-UDA), which has not been sufficiently studied in the literature. In this setting, the…
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective
Yinghuan Shi, Wanqi Yang, Kim-Han Thung +5
In this paper, we study a novel problem: "automatic prescription recommendation for PD patients." To realize this goal, we first build a dataset by collecting 1) symptoms of PD pat…
Class Distribution Alignment for Adversarial Domain Adaptation
Wanqi Yang, Tong Ling, Chengmei Yang +4
Most existing unsupervised domain adaptation methods mainly focused on aligning the marginal distributions of samples between the source and target domains. This setting does not s…
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Jinquan Sun, Yinghuan Shi, Yang Gao +4
Due to low tissue contrast, irregular object appearance, and unpredictable location variation, segmenting the objects from different medical imaging modalities (e.g., CT, MR) is co…