activity
20192021
most citedExperiments of Federated Learning for COVID-19 Chest X-ray Images

54 citations · 74 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL202112 cited

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Hengyi Zheng, Rui Wen, Xi Chen +7

Joint extraction of entities and relations from unstructured texts is a crucial task in information extraction. Recent methods achieve considerable performance but still suffer fro…

cs.AI2021

Lifelong Learning based Disease Diagnosis on Clinical Notes

Zifeng Wang, Yifan Yang, Rui Wen +3

Current deep learning based disease diagnosis systems usually fall short in catastrophic forgetting, i.e., directly fine-tuning the disease diagnosis model on new tasks usually lea…

eess.IV202054 cited

Experiments of Federated Learning for COVID-19 Chest X-ray Images

Boyi Liu, Bingjie Yan, Yize Zhou +2

AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images. However, f…

cs.IR20206 cited

COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

Yixian Zhang, Jieren Chen, Boyi Liu +6

With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the CO…

stat.ML20202 cited

A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting

Guowei Zhang, Tao Ren, Yifan Yang

A new variational mode decomposition (VMD) based deep learning approach is proposed in this paper for time series forecasting problem. Firstly, VMD is adopted to decompose the orig…

cs.CV2019

Feature Pyramid Hashing

Yifan Yang, Libing Geng, Hanjiang Lai +2

In recent years, deep-networks-based hashing has become a leading approach for large-scale image retrieval. Most deep hashing approaches use the high layer to extract the powerful…