Search Results for author: Wen Tang

Found 20 papers, 6 papers with code

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering

no code implementations21 Apr 2022 Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao

Thus, to address the issues, we expect to group up strongly correlated features and learn feature correlations in a group-wise manner to reduce the learning complexity without losing generality.

Representation Learning

eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges

no code implementations13 Jul 2021 Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro

This motivated creation of eProduct, a dataset consisting of 2. 5 million product images towards accelerating development in the areas of self-supervised learning, weakly-supervised learning, and multimodal learning, for fine-grained recognition.

Self-Supervised Learning

De Re Updates

no code implementations22 Jun 2021 Michael Cohen, Wen Tang, Yanjing Wang

In this paper, we propose a lightweight yet powerful dynamic epistemic logic that captures not only the distinction between de dicto and de re knowledge but also the distinction between de dicto and de re updates.

Deep Transform and Metric Learning Networks

no code implementations21 Apr 2021 Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim

Based on its great successes in inference and denosing tasks, Dictionary Learning (DL) and its related sparse optimization formulations have garnered a lot of research interest.

Dictionary Learning Metric Learning

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks

no code implementations18 Feb 2020 Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim

On account of its many successes in inference tasks and denoising applications, Dictionary Learning (DL) and its related sparse optimization problems have garnered a lot of research interest.

Denoising Dictionary Learning +1

StageNet: Stage-Aware Neural Networks for Health Risk Prediction

1 code implementation24 Jan 2020 Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun

Compared to the best baseline model, StageNet achieves up to 12% higher AUPRC for risk prediction task on two real-world patient datasets.

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration

1 code implementation27 Nov 2019 Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma

It also models the correlation between clinical features to enhance the ones which strongly indicate the health status and thus can maintain a state-of-the-art performance in terms of prediction accuracy while providing qualitative interpretability.

Representation Learning

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context

1 code implementation27 Nov 2019 Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

Predicting the patient's clinical outcome from the historical electronic medical records (EMR) is a fundamental research problem in medical informatics.

Joint Concept Matching based Learning for Zero-Shot Recognition

no code implementations13 Jun 2019 Wen Tang, Ashkan Panahi, Hamid Krim

Zero-shot learning (ZSL) which aims to recognize unseen object classes by only training on seen object classes, has increasingly been of great interest in Machine Learning, and has registered with some successes.

Zero-Shot Learning

MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones

1 code implementation18 Mar 2019 Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang

Furthermore, MUSEFood uses the microphone and the speaker to accurately measure the vertical distance from the camera to the food in a noisy environment, thus scaling the size of food in the image to its actual size.

Multi-Task Learning

Analysis Dictionary Learning: An Efficient and Discriminative Solution

no code implementations7 Mar 2019 Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

Discriminative Dictionary Learning (DL) methods have been widely advocated for image classification problems.

Dictionary Learning General Classification +1

Analysis Dictionary Learning based Classification: Structure for Robustness

1 code implementation13 Jul 2018 Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

A consensus structured analysis dictionary and a global classifier are jointly learned in the distributed approach to safeguard the discriminative power and the efficiency of classification.

Classification Dictionary Learning +1

Structured Analysis Dictionary Learning for Image Classification

1 code implementation2 May 2018 Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai

We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning.

Classification Dictionary Learning +2

Self-Supervised Monocular Image Depth Learning and Confidence Estimation

no code implementations14 Mar 2018 Long Chen, Wen Tang, Nigel John

Convolutional Neural Networks (CNNs) need large amounts of data with ground truth annotation, which is a challenging problem that has limited the development and fast deployment of CNNs for many computer vision tasks.

Depth Estimation

Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction

no code implementations14 Mar 2018 Long Chen, Wen Tang, Nigel John, Tao Ruan Wan, Jian Jun Zhang

Mixed Reality (MR) is a powerful interactive technology that yields new types of user experience.

Mixed Reality

Recent Developments and Future Challenges in Medical Mixed Reality

no code implementations3 Aug 2017 Long Chen, Thomas Day, Wen Tang, Nigel W. John

Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice.

Classification General Classification +1

Real-time Geometry-Aware Augmented Reality in Minimally Invasive Surgery

no code implementations3 Aug 2017 Long Chen, Wen Tang, Nigel W. John

The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes.

Stereo Matching Stereo Matching Hand +1

Semantic Augmented Reality Environment with Material-Aware Physical Interactions

no code implementations3 Aug 2017 Long Chen, Karl Francis, Wen Tang

In Augmented Reality (AR) environment, realistic interactions between the virtual and real objects play a crucial role in user experience.

Scene Understanding

Augmented Reality for Depth Cues in Monocular Minimally Invasive Surgery

no code implementations1 Mar 2017 Long Chen, Wen Tang, Nigel W. John, Tao Ruan Wan, Jian Jun Zhang

In vivo laparoscopic videos used in the tests have demonstrated the robustness and accuracy of our proposed framework on both camera tracking and surface reconstruction, illustrating the potential of our algorithm for depth augmentation and depth-corrected augmented reality in MIS with monocular endoscopes.

Simultaneous Localization and Mapping Surface Reconstruction

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