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09/14/2023
Interpretability-Aware Vision Transformer
Vision Transformers (ViTs) have become prominent models for solving vari...
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08/28/2023
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation
The Segment Anything Model (SAM) has rapidly been adopted for segmenting...
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01/31/2023
Fairness-aware Vision Transformer via Debiased Self-Attention
Vision Transformer (ViT) has recently gained significant interest in sol...
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01/17/2023
Negative Flux Aggregation to Estimate Feature Attributions
There are increasing demands for understanding deep neural networks' (DN...
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11/23/2022
Learning Compact Features via In-Training Representation Alignment
Deep neural networks (DNNs) for supervised learning can be viewed as a p...
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10/23/2022
Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation
Electric Vehicle (EV) charging recommendation that both accommodates use...
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10/06/2022
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images
Computed Tomography (CT) based precise prostate segmentation for treatme...
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09/09/2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
This work tackles a central machine learning problem of performance degr...
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01/10/2021
Adversarially robust and explainable model compression with on-device personalization for NLP applications
On-device Deep Neural Networks (DNNs) have recently gained more attentio...
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12/14/2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
Convolutional neural networks (CNNs) have achieved state-of-the-art perf...
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07/12/2020
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
Latent factor collaborative filtering (CF) has been a widely used techni...
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06/24/2020
Defending against adversarial attacks on medical imaging AI system, classification or detection?
Medical imaging AI systems such as disease classification and segmentati...
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04/06/2020
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray
With the increasing demand for millions of COVID-19 screenings, Computed...
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04/06/2020
COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images
With the increasing demand for millions of COVID-19 tests, Computed Tomo...
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03/22/2020
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Existing aspect based sentiment analysis (ABSA) approaches leverage vari...
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03/04/2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Deep convolutional neural networks (CNNs) trained with logistic and soft...
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02/23/2020
Improve SGD Training via Aligning Min-batches
Deep neural networks (DNNs) for supervised learning can be viewed as a p...
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02/23/2020
Improve SGD Training via Aligning Mini-batches
Deep neural networks (DNNs) for supervised learning can be viewed as a p...
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08/24/2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Increasing volume of Electronic Health Records (EHR) in recent years pro...
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07/29/2019
Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches
Many real-world datasets are labeled with natural orders, i.e., ordinal ...
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06/12/2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Medical imaging contains the essential information for rendering diagnos...
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06/10/2019
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification
Classification on imbalanced datasets is a challenging task in real-worl...
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06/09/2019
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI using Deep 3D Convolutional Neural Networks
Understanding human fetal neurodevelopment is of great clinical importan...
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12/27/2018
Multi-task Prediction of Patient Workload
Developing reliable workload predictive models can affect many aspects o...
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04/10/2018
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer
Survival analysis has been developed and applied in the number of areas ...
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01/06/2018
A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study
Massive amount of electronic medical records accumulating from patients ...
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09/26/2017
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
Traditional medicine typically applies one-size-fits-all treatment for t...
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04/20/2017