Jinfa Yang

According to our database, Jinfa Yang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Tensor decompositions for temporal knowledge graph completion with time perspective.

Jinfa Yang, Xianghua Ying, Yongjie Shi, Bowei Xing

Expert Syst. Appl., March, 2024

Improving static and temporal knowledge graph embedding using affine transformations of entities.

Jinfa Yang, Xianghua Ying, Yongjie Shi, Ruibin Wang

J. Web Semant., 2024

VPDETR: End-to-End Vanishing Point DEtection TRansformers.

Taiyan Chen, Xianghua Ying, Jinfa Yang, Ruibin Wang, Ruohao Guo, Bowei Xing, Ji Shi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving point cloud classification and segmentation via parametric veronese mapping.

Ruibin Wang, Xianghua Ying, Bowei Xing, Xin Tong, Taiyan Chen, Jinfa Yang, Yongjie Shi

Pattern Recognit., December, 2023

Employing Latent Categories of Entities for Knowledge Graph Embeddings With Contrastive Learning.

Jinfa Yang, Xianghua Ying, Taiyan Chen

IEEE Robotics Autom. Lett., June, 2023

Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation.

Bowei Xing, Xianghua Ying, Ruibin Wang, Jinfa Yang, Taiyan Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud.

Ruibin Wang, Xianghua Ying, Bowei Xing, Jinfa Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey.

Yongjie Shi, Xianghua Ying, Jinfa Yang

Sensors, 2022

Transformer Based Line Segment Classifier with Image Context for Real-Time Vanishing Point Detection in Manhattan World.

Xin Tong, Xianghua Ying, Yongjie Shi, Ruibin Wang, Jinfa Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations.

Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy.

Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation.

Jinfa Yang, Yongjie Shi, Xin Tong, Robin Wang, Taiyan Chen, Xianghua Ying

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Deep Shape from Polarization.

Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi

Proceedings of the Computer Vision - ECCV 2020, 2020