no code implementations • 11 May 2024 • Kexin Jiang, Chuhan Wu, Yaoran Chen
Time series prediction is a fundamental problem in scientific exploration and artificial intelligence (AI) technologies have substantially bolstered its efficiency and accuracy.
1 code implementation • 11 Aug 2023 • Kexin Jiang, Yahui Zhao, Guozhe Jin, Zhenguo Zhang, Rongyi Cui
To this end, in this paper, We introduce a new model for text matching called the Knowledge Enhanced Text Matching model (KETM), to enrich contextual representations with real-world common-sense knowledge from external knowledge sources to enhance our model understanding and reasoning.
no code implementations • 7 May 2022 • Yuhan Xie, Kexin Jiang, Zhiyong Zhang, Shaolong Chen, Xiaodong Zhang, Changzhen Qiu
Medical image segmentation based on deep learning is often faced with the problems of insufficient datasets and long time-consuming labeling.
no code implementations • 20 Mar 2022 • Kexin Jiang, Yahui Zhao, Rongyi Cui, Zhenguo Zhang
To solve this problem, we propose a sentence matching method based on deep encoding and interaction to extract deep semantic information.
Ranked #22 on Natural Language Inference on SNLI