69 citations · 175 across the 9 of their papers we have counts for
10 papers
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
Yifan Yang, Alec Koppel, Zheng Zhang
Learning with noisy labels is an important topic for scalable training in many real-world scenarios. However, few previous research considers this problem in the online setting, wh…
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Qi Zhao, Binghao Liu, Shuchang Lyu +1
Few-shot segmentation focuses on the generalization of models to segment unseen object with limited annotated samples. However, existing approaches still face two main challenges.…
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…
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…
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…
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…
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…
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…
Deep Policy Hashing Network with Listwise Supervision
Shaoying Wang, Haijiang Lai, Yifan Yang +1
Deep-networks-based hashing has become a leading approach for large-scale image retrieval, which learns a similarity-preserving network to map similar images to nearby hash codes.…
Context-aware Natural Language Generation with Recurrent Neural Networks
Jian Tang, Yifan Yang, Sam Carton +2
This paper studied generating natural languages at particular contexts or situations. We proposed two novel approaches which encode the contexts into a continuous semantic represen…