b'Ming Xu'

research

∙ 09/03/2023

Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction

Magnetic resonance imaging (MRI) tasks often involve multiple contrasts....

0 Pengcheng Lei, et al. ∙

research

∙ 08/09/2023

Local Reasoning about Probabilistic Behaviour for Classical-Quantum Programs

Verifying the functional correctness of programs with both classical and...

0 Yuxin Deng, et al. ∙

research

∙ 06/24/2023

Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks

We explore conditions for when the gradient of a deep declarative node c...

0 Stephen Gould, et al. ∙

research

∙ 06/07/2023

Adaptive Frequency Green Light Optimal Speed Advisory based on Hybrid Actor-Critic Reinforcement Learning

Green Light Optimal Speed Advisory (GLOSA) system suggests speeds to veh...

0 Ming Xu, et al. ∙

research

∙ 03/28/2023

TraffNet: Learning Causality of Traffic Generation for Road Network Digital Twins

Road network digital twins (RNDTs) play a critical role in the developme...

0 Ming Xu, et al. ∙

research

∙ 03/19/2023

Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths

This paper addresses learning end-to-end models for time series data tha...

0 Ming Xu, et al. ∙

research

∙ 03/15/2023

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

Semantic communication is envisioned as a promising technique to break t...

0 Fuhui Zhou, et al. ∙

research

∙ 11/04/2022

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

Skill-based reinforcement learning (RL) has emerged as a promising strat...

0 Krishan Rana, et al. ∙

research

∙ 07/22/2022

3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization

Although deep-learning based methods for monocular pedestrian detection ...

0 Rui Qiu, et al. ∙

research

∙ 06/28/2022

Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems

6-DoF visual localization systems utilize principled approaches rooted i...

0 Stephen Hausler, et al. ∙

research

∙ 05/27/2022

Improving Road Segmentation in Challenging Domains Using Similar Place Priors

Road segmentation in challenging domains, such as night, snow or rain, i...

0 Connor Malone, et al. ∙

research

∙ 03/22/2022

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

Federated learning (FL) allows multiple clients to collectively train a ...

4 Liang Gao, et al. ∙

research

∙ 02/11/2022

Checking Continuous Stochastic Logic against Quantum Continuous-Time Markov Chains

Verifying quantum systems has attracted a lot of interest in the last de...

0 Jingyi Mei, et al. ∙

research

∙ 01/30/2022

Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach

Ride-hailing is rapidly changing urban and personal transportation. Ride...

0 Morteza Taiebat, et al. ∙

research

∙ 12/06/2021

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise

Noisy labels damage the performance of deep networks. For robust learnin...

0 Mingcai Chen, et al. ∙

research

∙ 12/01/2021

Interactive Model with Structural Loss for Language-based Abductive Reasoning

The abductive natural language inference task (αNLI) is proposed to infe...

0 Linhao Li, et al. ∙

research

∙ 06/18/2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Joint extraction of entities and relations from unstructured texts is a ...

0 Hengyi Zheng, et al. ∙

research

∙ 05/07/2021

Probabilistic Visual Place Recognition for Hierarchical Localization

Visual localization techniques often comprise a hierarchical localizatio...

0 Ming Xu, et al. ∙

research

∙ 05/02/2021

Model Checking Quantum Continuous-Time Markov Chains

Verifying quantum systems has attracted a lot of interests in the last d...

0 Ming Xu, et al. ∙

research

∙ 01/13/2021

An Algebraic Method to Fidelity-based Model Checking over Quantum Markov Chains

Fidelity is one of the most widely used quantities in quantum informatio...

0 Ming Xu, et al. ∙

research

∙ 05/13/2020

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests

The COVID-19 is sweeping the world with deadly consequences. Its contagi...

19 Forrest Sheng Bao, et al. ∙

research

∙ 03/04/2020

EPINE: Enhanced Proximity Information Network Embedding

Unsupervised homogeneous network embedding (NE) represents every vertex ...

0 Luoyi Zhang, et al. ∙

research

∙ 07/03/2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...

3 Yi Wang, et al. ∙

research

∙ 02/13/2019

Proving Expected Sensitivity of Probabilistic Programs with Randomized Execution Time

The notion of program sensitivity (aka Lipschitz continuity) specifies t...

0 Peixin Wang, et al. ∙

research

∙ 01/31/2019

Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound

Connected and automated vehicles (CAVs) are expected to yield significan...

0 Morteza Taiebat, et al. ∙

research

∙ 01/23/2019

A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles

Connected and automated vehicles (CAVs) are poised to reshape transporta...

0 Morteza Taiebat, et al. ∙

research

∙ 09/27/2018

Variance reduction properties of the reparameterization trick

The reparameterization trick is widely used in variational inference as ...

0 Ming Xu, et al. ∙

research

∙ 09/27/2018

On some variance reduction properties of the reparameterization trick

The so-called reparameterization trick is widely used in variational inf...

0 Ming Xu, et al. ∙

research

∙ 09/13/2018

PPtaxi: Non-stop Package Delivery via Multi-hop Ridesharing

City-wide package delivery becomes popular due to the dramatic rise of o...

0 Yueyue Chen, et al. ∙

research

∙ 07/09/2014

Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories

A major problem in road network analysis is discovery of important cross...

0 Ming Xu, et al. ∙

research

∙ 06/27/2014

Adaptive Mesh Representation and Restoration of Biomedical Images

The triangulation of images has become an active research area in recent...

0 Ke Liu, et al. ∙

Ming Xu

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