no code implementations • 23 Oct 2023 • Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang
It has gained significant attention in the field of Natural Language Processing (NLP) due to its ability to learn optimal strategies for tasks such as dialogue systems, machine translation, and question-answering.
no code implementations • 20 Aug 2023 • Sicheng Zhou, Meng Wang, Jindou Jia, Kexin Guo, Xiang Yu, Youmin Zhang, Lei Guo
This paper presents an excitation operator based fault separation architecture for a quadrotor unmanned aerial vehicle (UAV) subject to loss of effectiveness (LoE) faults, actuator aging, and load uncertainty.
2 code implementations • 20 Jul 2023 • Le Peng, Gaoxiang Luo, Sicheng Zhou, jiandong chen, Rui Zhang, Ziyue Xu, Ju Sun
Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP).
no code implementations • 15 Mar 2023 • Sicheng Zhou, Nan Wang, LiWei Wang, Ju Sun, Anne Blaes, Hongfang Liu, Rui Zhang
We developed three types of NLP models (i. e., conditional random field, bi-directional long short-term memory and CancerBERT) to extract cancer phenotypes from clinical texts.
no code implementations • 31 Jan 2022 • Sicheng Zhou, Rui Zhang, Anne Blaes, Chetan Shenoy, Gyorgy Simon
After adjusting for baseline differences in cardiovascular health, patients who received chemotherapy or targeted therapy appeared to have higher risk of cardiotoxicity than patients who received radiation therapy.
no code implementations • 25 Aug 2021 • Sicheng Zhou, LiWei Wang, Nan Wang, Hongfang Liu, Rui Zhang
This data used in the study included 21, 291 breast cancer patients diagnosed from 2010 to 2020, patients' clinical notes and pathology reports were collected from the University of Minnesota Clinical Data Repository (UMN).
no code implementations • 16 Sep 2020 • Yadan Fan, Sicheng Zhou, Yi-Fan Li, Rui Zhang
The best performed NER and RE models were further applied on clinical notes mentioning 88 DS for discovering DS adverse events and indications, which were compared with a DS knowledge base.