b'Hong Zhang'

research

∙ 09/21/2023

Causal inference with outcome dependent sampling and mismeasured outcome

Outcome-dependent sampling designs are extensively utilized in various s...

0 Min Zeng, et al. ∙

research

∙ 09/21/2023

Person Re-Identification for Robot Person Following with Online Continual Learning

Robot person following (RPF) is a crucial capability in human-robot inte...

0 Hanjing Ye, et al. ∙

research

∙ 09/16/2023

Efficient Object Rearrangement via Multi-view Fusion

The prospect of assistive robots aiding in object organization has alway...

0 Dehao Huang, et al. ∙

research

∙ 09/04/2023

From Kubernetes to Knactor: A State-Centric Rethink of Service Integration

Microservices are increasingly used in modern applications, leading to a...

0 Silvery Fu, et al. ∙

research

∙ 08/23/2023

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies

The dynamics of biomolecules are crucial for our understanding of their ...

0 Enze Ye, et al. ∙

research

∙ 07/25/2023

GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping

Task-oriented grasping (TOG) refers to the problem of predicting grasps ...

0 Chao Tang, et al. ∙

research

∙ 05/03/2023

DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture

In digital pathology tasks, transformers have achieved state-of-the-art ...

0 Min Cen, et al. ∙

research

∙ 04/01/2023

NPR: Nocturnal Place Recognition in Street

Visual Place Recognition (VPR) is the task of retrieving database images...

0 Bingxi Liu, et al. ∙

research

∙ 03/21/2023

Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020

People who share similar opinions towards controversial topics could for...

1 Hong Zhang, et al. ∙

research

∙ 02/28/2023

Task-Oriented Grasp Prediction with Visual-Language Inputs

To perform household tasks, assistive robots receive commands in the for...

0 Chao Tang, et al. ∙

research

∙ 02/23/2023

A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness

Cracks play a crucial role in assessing the safety and durability of man...

0 Huaqi Tao, et al. ∙

research

∙ 02/21/2023

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines

NLP-based computer vision models, particularly vision transformers, have...

0 Min Cen, et al. ∙

research

∙ 02/04/2023

Robot Person Following Under Partial Occlusion

Robot person following (RPF) is a capability that supports many useful h...

0 Hanjing Ye, et al. ∙

research

∙ 01/21/2023

ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition

For named entity recognition (NER) in zero-resource languages, utilizing...

0 Ling Ge, et al. ∙

research

∙ 11/21/2022

Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets

Semantic segmentation models based on the conventional neural network ca...

0 Jiaru Jia, et al. ∙

research

∙ 10/18/2022

Adjusting for non-confounding covariates in case-control association studies

Considerable debate has been generated in recent literature on whether n...

0 Siliang Zhang, et al. ∙

research

∙ 10/15/2022

A Novel Few-Shot Relation Extraction Pipeline Based on Adaptive Prototype Fusion

Few-shot relation extraction (FSRE) aims at recognizing unseen relations...

0 Yuzhe Zhang, et al. ∙

research

∙ 10/14/2022

Novel 3D Scene Understanding Applications From Recurrence in a Single Image

We demonstrate the utility of recurring pattern discovery from a single ...

0 Shimian Zhang, et al. ∙

research

∙ 09/26/2022

NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection

Loop closure detection is a key technology for long-term robot navigatio...

0 Ruihao Zhou, et al. ∙

research

∙ 09/13/2022

Optimizing SLAM Evaluation Footprint Through Dynamic Range Coverage Analysis of Datasets

Simultaneous Localization and Mapping (SLAM) is considered an ever-evolv...

0 Islam Ali, et al. ∙

research

∙ 08/22/2022

Predicting microsatellite instability and key biomarkers in colorectal cancer from H E-stained images: Achieving SOTA with Less Data using Swin Transformer

Artificial intelligence (AI) models have been developed for predicting c...

0 Bangwei Guo, et al. ∙

research

∙ 08/10/2022

Efficient inference of parental origin effects using case-control mother-child genotype data

Parental origin effects play an important role in mammal development and...

0 Yuang Tian, et al. ∙

research

∙ 08/07/2022

Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec

Ensemble-based large-scale simulation of dynamical systems is essential ...

8 Zhongzhan Huang, et al. ∙

research

∙ 07/20/2022

Perspective Phase Angle Model for Polarimetric 3D Reconstruction

Current polarimetric 3D reconstruction methods, including those in the w...

0 Guangcheng Chen, et al. ∙

research

∙ 07/09/2022

Cell-average based neural network method for high dimensional parabolic differential equations

In this paper, we introduce cell-average based neural network (CANN) met...

0 Hong Zhang, et al. ∙

research

∙ 07/07/2022

Highlight Specular Reflection Separation based on Tensor Low-rank and Sparse Decomposition Using Polarimetric Cues

This paper is concerned with specular reflection removal based on tensor...

0 Moein Shakeri, et al. ∙

research

∙ 06/25/2022

Render unto Numerics : Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions

By learning the map between function spaces using carefully designed dee...

0 Ziyuan Liu, et al. ∙

research

∙ 06/25/2022

Diagnostic Communication and Visual System based on Vehicle UDS Protocol

Unified Diagnostic Services (UDS) is a diagnostic communication protocol...

0 Hong Zhang, et al. ∙

research

∙ 06/13/2022

Provable Benefit of Multitask Representation Learning in Reinforcement Learning

As representation learning becomes a powerful technique to reduce sample...

0 Yuan Cheng, et al. ∙

research

∙ 06/02/2022

PNODE: A memory-efficient neural ODE framework based on high-level adjoint differentiation

Neural ordinary differential equations (neural ODEs) have emerged as a n...

0 Hong Zhang, et al. ∙

research

∙ 05/31/2022

A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations

Deep-learning models based on whole-slide digital pathology images (WSIs...

0 Bangwei Guo, et al. ∙

research

∙ 05/31/2022

FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm

Financial named entity recognition (FinNER) from literature is a challen...

0 Yuzhe Zhang, et al. ∙

research

∙ 05/28/2022

Low-rank Latent Matrix Factor-Analysis Modeling for Generalized Linear Regression with High-dimensional Imaging Biomarkers

Medical imaging has been recognized as a phenotype associated with vario...

0 Yuzhe Zhang, et al. ∙

research

∙ 04/25/2022

FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server

Despite achieving remarkable performance, Federated Learning (FL) suffer...

0 Hong Zhang, et al. ∙

research

∙ 04/24/2022

Colorectal cancer survival prediction using deep distribution based multiple-instance learning

Several deep learning algorithms have been developed to predict survival...

0 Xingyu Li, et al. ∙

research

∙ 04/22/2022

Following Closely: A Robust Monocular Person Following System for Mobile Robot

Monocular person following (MPF) is a capability that supports many usef...

0 Hanjing Ye, et al. ∙

research

∙ 04/18/2022

Mapping While Following: 2D LiDAR SLAM in Indoor Dynamic Environments with a Person Tracker

2D LiDAR SLAM (Simultaneous Localization and Mapping) is widely used in ...

0 Hanjing Ye, et al. ∙

research

∙ 04/15/2022

Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder

Visual place recognition (VPR) in condition-varying environments is stil...

0 Hanjing Ye, et al. ∙

research

∙ 04/07/2022

Sparse Optical Flow-Based Line Feature Tracking

In this paper we propose a novel sparse optical flow (SOF)-based line fe...

0 Qiang Fu, et al. ∙

research

∙ 03/31/2022

Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering

Deep learning has become the mainstream methodological choice for analyz...

0 Zihan Chen, et al. ∙

research

∙ 03/27/2022

Deep Polarimetric HDR Reconstruction

This paper proposes a novel learning based high-dynamic-range (HDR) reco...

0 Juiwen Ting, et al. ∙

research

∙ 03/21/2022

DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking

Many multi-object tracking (MOT) methods follow the framework of "tracki...

0 JiaXu Wan, et al. ∙

research

∙ 03/16/2022

DePS: An improved deep learning model for de novo peptide sequencing

De novo peptide sequencing from mass spectrometry data is an important m...

0 Cheng Ge, et al. ∙

research

∙ 02/24/2022

Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations

Earth system models are complex integrated models of atmosphere, ocean, ...

0 Shinhoo Kang, et al. ∙

research

∙ 02/23/2022

Are We Ready for Robust and Resilient SLAM? A Framework For Quantitative Characterization of SLAM Datasets

Reliability of SLAM systems is considered one of the critical requiremen...

0 Islam Ali, et al. ∙

research

∙ 01/26/2022

MonoDistill: Learning Spatial Features for Monocular 3D Object Detection

3D object detection is a fundamental and challenging task for 3D scene u...

7 Zhiyu Chong, et al. ∙

research

∙ 01/04/2022

The PETSc Community Is the Infrastructure

The communities who develop and support open source scientific software ...

0 Mark Adams, et al. ∙

research

∙ 01/03/2022

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model

Due to lack of annotated pathological images, transfer learning has been...

15 Xingyu Li, et al. ∙

research

∙ 11/07/2021

Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM

The ability of accurate depth prediction by a CNN is a major challenge f...

15 Shing Yan Loo, et al. ∙

research

∙ 11/05/2021

A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer

Most early-stage colorectal cancer (CRC) patients can be cured by surger...

22 Xingyu Li, et al. ∙

Hong Zhang

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