Alert button
Picture for Dongxiao Zhu

Dongxiao Zhu

Alert button

Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach

Mar 22, 2020
Yao Qiang, Xin Li, Dongxiao Zhu

Figure 1 for Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Figure 2 for Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Figure 3 for Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Figure 4 for Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Viaarxiv icon

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks

Mar 04, 2020
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu

Figure 1 for On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Figure 2 for On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Figure 3 for On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Figure 4 for On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Viaarxiv icon

Improve SGD Training via Aligning Mini-batches

Feb 27, 2020
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu

Figure 1 for Improve SGD Training via Aligning Mini-batches
Figure 2 for Improve SGD Training via Aligning Mini-batches
Figure 3 for Improve SGD Training via Aligning Mini-batches
Figure 4 for Improve SGD Training via Aligning Mini-batches
Viaarxiv icon

Improve SGD Training via Aligning Min-batches

Feb 23, 2020
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu

Figure 1 for Improve SGD Training via Aligning Min-batches
Figure 2 for Improve SGD Training via Aligning Min-batches
Figure 3 for Improve SGD Training via Aligning Min-batches
Figure 4 for Improve SGD Training via Aligning Min-batches
Viaarxiv icon

Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study

Sep 20, 2019
Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam, Dongxiao Zhu

Figure 1 for Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Figure 2 for Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Figure 3 for Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Figure 4 for Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Viaarxiv icon

Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches

Jul 29, 2019
Lu Wang, Dongxiao Zhu

Figure 1 for Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches
Figure 2 for Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches
Figure 3 for Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches
Figure 4 for Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches
Viaarxiv icon

Vispi: Automatic Visual Perception and Interpretation of Chest X-rays

Jun 12, 2019
Xin Li, Rui Cao, Dongxiao Zhu

Figure 1 for Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Figure 2 for Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Figure 3 for Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Figure 4 for Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Viaarxiv icon

CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification

Jun 10, 2019
Xiangrui Li, Dongxiao Zhu

Figure 1 for CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Figure 2 for CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Figure 3 for CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Figure 4 for CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Viaarxiv icon

Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks

Jun 09, 2019
Xiangrui Li, Jasmine Hect, Moriah Thomason, Dongxiao Zhu

Figure 1 for Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks
Figure 2 for Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks
Figure 3 for Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks
Figure 4 for Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks
Viaarxiv icon