DeepAI

Vanderbilt University

∙ Nashville , United States ∙ 0 followers

Vanderbilt University, located in Nashville, Tennessee, is a private research university and medical center offering a full-range of undergraduate, graduate and professional degrees

Featured Researchers

Bo Li
396 publications
Yu Wang
221 publications
Ke Li
136 publications
Hao Wu
123 publications
Peng Zhang
116 publications
Han Liu
114 publications
Yuankai Huo
74 publications
Yifan Zhang
69 publications
Yevgeniy Vorobeychik
65 publications
Bennett A. Landman
62 publications
Yue Hu
52 publications

∙ 06/20/2022

Deep Learning Models on CPUs: A Methodology for Efficient Training

GPUs have been favored for training deep learning models due to their hi...

Quchen Fu, et al. ∙

∙ 06/03/2021

The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification

This paper presents a new mathematical signal transform that is especial...

Akram Aldroubi, et al. ∙

∙ 11/03/2020

Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation

Atlas-based methods are the standard approaches for automatic targeting ...

Han Liu, et al. ∙

∙ 07/27/2021

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification

Brain functional connectivity (FC) reveals biomarkers for identification...

Fuad Noman, et al. ∙

∙ 04/12/2020

Workflow Automation for Cyber Physical System Development Processes

Development of Cyber Physical Systems (CPSs) requires close interaction ...

Charles Hartsell, et al. ∙

∙ 10/11/2019

Methods and open-source toolkit for analyzing and visualizing challenge results

Biomedical challenges have become the de facto standard for benchmarking...

Manuel Wiesenfarth, et al. ∙

∙ 08/30/2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning

With the rapid development of self-supervised learning (e.g., contrastiv...

Tianyuan Yao, et al. ∙

∙ 03/02/2020

Reachability Analysis for Feed-Forward Neural Networks using Face Lattices

Deep neural networks have been widely applied as an effective approach t...

Xiaodong Yang, et al. ∙

∙ 06/24/2022

DeepAL for Regression Using ε-weighted Hybrid Query Strategy

Designing an inexpensive approximate surrogate model that captures the s...

Harsh Vardhan, et al. ∙

∙ 08/29/2022

Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task

Raven's Progressive Matrices is a family of classical intelligence tests...

Yuan Yang, et al. ∙

∙ 06/20/2019

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning

Detection of malicious behavior is a fundamental problem in security. On...

Liang Tong, et al. ∙

∙ 09/13/2021

Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation

Automatic methods to segment the vestibular schwannoma (VS) tumors and t...

Han Liu, et al. ∙

∙ 04/07/2020

Radon cumulative distribution transform subspace modeling for image classification

We present a new supervised image classification method for problems whe...

Mohammad Shifat-E-Rabbi, et al. ∙

∙ 01/25/2022

Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion

Automatic methods to segment the vestibular schwannoma (VS) tumors and t...

Han Liu, et al. ∙

∙ 02/25/2022

Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search

Decision-making under uncertainty (DMU) is present in many important pro...

Geoffrey Pettet, et al. ∙

∙ 06/07/2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

Graph Neural Networks (GNNs) have shown great power in learning node rep...

Yu Wang, et al. ∙

∙ 09/18/2021

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging

Multiplex immunofluorescence (MxIF) is an emerging imaging technique tha...

Shunxing Bao, et al. ∙

∙ 09/20/2021

Variable Selection in GLM and Cox Models with Second-Generation P-Values

Variable selection has become a pivotal choice in data analyses that imp...

Yi Zuo, et al. ∙

∙ 09/22/2021

Incorporating Data Uncertainty in Object Tracking Algorithms

Methodologies for incorporating the uncertainties characteristic of data...

Anish Muthali, et al. ∙

∙ 10/07/2021

Improving Prediction Confidence in Learning-Enabled Autonomous Systems

Autonomous systems use extensively learning-enabled components such as d...

Dimitrios Boursinos, et al. ∙

∙ 10/22/2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

Recent years have witnessed the significant success of applying graph ne...

Yu Wang, et al. ∙

∙ 10/22/2021

Circle Representation for Medical Object Detection

Box representation has been extensively used for object detection in com...

Ethan H. Nguyen, et al. ∙

∙ 11/02/2021

Two neural-network-based methods for solving obstacle problems

Two neural-network-based numerical schemes are proposed to solve the cla...

Xinyue Evelyn Zhao, et al. ∙

∙ 11/04/2021

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles

The rapid advancements of Internet of Things (IoT) and artificial intell...

Ao Qu, et al. ∙

∙ 11/10/2021

Accurate confidence interval estimation for non-centrality parameters and effect size indices

We recently proposed a robust effect size index (RESI) that is related t...

Kaidi Kang, et al. ∙

∙ 12/01/2021

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

Graph Neural Networks (GNNs) have achieved unprecedented success in lear...

Yu Wang, et al. ∙

∙ 12/03/2021

Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services

Emergency response is highly dependent on the time of incident reporting...

Yasas Senarath, et al. ∙

∙ 12/11/2021

SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings

Learning from set-structured data is an essential problem with many appl...

Yuzhe Lu, et al. ∙

∙ 12/13/2021

Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes

The detection of ancient settlements is a key focus in landscape archaeo...

Jiachen Xu, et al. ∙

∙ 12/22/2021

Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection

We demonstrate that a supply-chain level compromise of the adaptive crui...

George Gunter, et al. ∙

∙ 12/23/2021

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data

Computer-assisted quantitative analysis on Giga-pixel pathology images h...

Ruining Deng, et al. ∙

∙ 01/06/2022

Stay in Touch! Shape and Shadow Influence Surface Contact in XR Displays

The information provided to a person's visual system by extended reality...

Haley Adams, et al. ∙

∙ 01/04/2022

What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature

This paper synthesizes recent advances in the econometrics of difference...

Jonathan Roth, et al. ∙

∙ 01/20/2022

Automatic Item Generation of Figural Analogy Problems: A Review and Outlook

Figural analogy problems have long been a widely used format in human in...

Yuan Yang, et al. ∙

∙ 01/27/2022

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model

Optical coherence tomography (OCT) is a prevalent non-invasive imaging m...

Dewei Hu, et al. ∙

∙ 01/31/2022

Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification

Recent studies have demonstrated the diagnostic and prognostic values of...

Yuzhe Lu, et al. ∙

∙ 02/08/2022

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities

Accurate real-time traffic forecast is critical for intelligent transpor...

Yihong Tang, et al. ∙

∙ 03/15/2022

One Agent To Rule Them All: Towards Multi-agent Conversational AI

The increasing volume of commercially available conversational agents (C...

Christopher Clarke, et al. ∙

∙ 04/12/2022

Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset

Dialog systems must be capable of incorporating new skills via updates o...

Stefan Larson, et al. ∙

∙ 04/24/2022

Error-correcting Identifying Codes

Assume that a graph G models a detection system for a facility with a po...

Devin Jean, et al. ∙

∙ 04/30/2022

Learning Mixed Strategies in Trajectory Games

In multi-agent settings, game theory is a natural framework for describi...

Lasse Peters, et al. ∙

∙ 05/11/2022

Linear average-case complexity of algorithmic problems in groups

The worst-case complexity of group-theoretic algorithms has been studied...

Alexander Olshanskii, et al. ∙

∙ 05/19/2022

Concurrent Policy Blending and System Identification for Generalized Assistive Control

In this work, we address the problem of solving complex collaborative ro...

Luke Bhan, et al. ∙

∙ 11/27/2022

Fault-Tolerant Detection Systems on the King's Grid

A detection system, modeled in a graph, uses "detectors" on a subset of ...

Devin Jean, et al. ∙

∙ 12/10/2022

Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation

Common measures of brain functional connectivity (FC) including covarian...

Yee-Fan Tan, et al. ∙

∙ 12/07/2022

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

While machine learning models have achieved unprecedented success in rea...

Yuying Zhao, et al. ∙

∙ 12/02/2022

Guaranteed Conformance of Neurosymbolic Models to Natural Constraints

Deep neural networks have emerged as the workhorse for a large section o...

Kaustubh Sridhar, et al. ∙

∙ 11/28/2022

A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures

Analyzing the behavior of complex interdependent networks requires compl...

Yu Wang, et al. ∙

∙ 11/06/2022

Integration-free Learning of Flow Maps

We present a method for learning neural representations of flow maps fro...

Saroj Sahoo, et al. ∙

∙ 10/24/2022

Augmenting Task-Oriented Dialogue Systems with Relation Extraction

The standard task-oriented dialogue pipeline uses intent classification ...

Andrew Lee, et al. ∙