Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation

no code implementations • 13 Aug 2022 • Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu

Existing video domain adaption (DA) methods need to store all temporal combinations of video frames or pair the source and target videos, which are memory cost expensive and can't scale up to long videos.

Domain Adaptation Graph Attention

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis

no code implementations • 18 Jan 2022 • Qiyuan An, Ruijiang Li, Lin Gu, Hao Zhang, Qingyu Chen, Zhiyong Lu, Fei Wang, Yingying Zhu

To evaluate our proposed method's utility and privacy loss, we apply our model on a medical report disease label classification task using two noisy challenging clinical text datasets.

Inference Attack Membership Inference Attack +4

Relation Embedding with Dihedral Group in Knowledge Graph

no code implementations • ACL 2019 • Canran Xu, Ruijiang Li

This new model learns knowledge graph embeddings that can capture relation compositions by nature.

Knowledge Graph Embeddings Link Prediction +1