b'Rui Hu'

research

∙ 09/07/2023

Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy

Federated learning (FL) is designed to preserve data privacy during mode...

0 Zikai Zhang, et al. ∙

research

∙ 06/27/2023

Rethinking Closed-loop Training for Autonomous Driving

Recent advances in high-fidelity simulators have enabled closed-loop tra...

0 Chris Zhang, et al. ∙

research

∙ 05/06/2023

Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber

Neural networks often learn spurious correlations when exposed to biased...

0 Rui Hu, et al. ∙

research

∙ 03/15/2023

Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service

Federated Learning (FL) is a machine learning approach that allows multi...

0 Muhammad Jahanzeb Khan, et al. ∙

research

∙ 03/08/2023

STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction

Dynamic positron emission tomography (dPET) image reconstruction is extr...

0 Rui Hu, et al. ∙

research

∙ 03/08/2023

DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction

Deep learning based PET image reconstruction methods have achieved promi...

0 Rui Hu, et al. ∙

research

∙ 02/21/2023

LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method

The integration of Time-of-Flight (TOF) information in the reconstructio...

0 Chenxu Li, et al. ∙

research

∙ 09/07/2022

FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications

Real-time object detection on Unmanned Aerial Vehicles (UAVs) is a chall...

20 Wei Zhou, et al. ∙

research

∙ 02/15/2022

Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy

Federated learning (FL) that enables distributed clients to collaborativ...

0 Rui Hu, et al. ∙

research

∙ 11/17/2021

Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data

Deep network models perform excellently on In-Distribution (ID) data, bu...

0 Rui Hu, et al. ∙

research

∙ 01/17/2021

PLUME: Efficient 3D Object Detection from Stereo Images

3D object detection plays a significant role in various robotic applicat...

14 Yan Wang, et al. ∙

research

∙ 12/22/2020

Multi-Task Multi-Sensor Fusion for 3D Object Detection

In this paper we propose to exploit multiple related tasks for accurate ...

11 Ming Liang, et al. ∙

research

∙ 11/12/2020

StrObe: Streaming Object Detection from LiDAR Packets

Many modern robotics systems employ LiDAR as their main sensing modality...

0 Davi Frossard, et al. ∙

research

∙ 09/12/2020

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing

Graph classification has practical applications in diverse fields. Recen...

26 Zhidong Gao, et al. ∙

research

∙ 09/11/2020

Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning

Federated Learning rests on the notion of training a global model distri...

8 Rui Hu, et al. ∙

research

∙ 08/20/2020

Conditional Entropy Coding for Efficient Video Compression

We propose a very simple and efficient video compression framework that ...

3 Jerry Liu, et al. ∙

research

∙ 08/01/2020

Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning

Federated learning has received significant interests recently due to it...

17 Rui Hu, et al. ∙

research

∙ 07/27/2020

Learning Lane Graph Representations for Motion Forecasting

We propose a motion forecasting model that exploits a novel structured m...

2 Ming Liang, et al. ∙

research

∙ 07/18/2020

Robust Optimal Design when Missing Data Happen at Random

In this article, we investigate the robust optimal design problem for th...

0 Rui Hu, et al. ∙

research

∙ 06/03/2020

MultiNet: Multiclass Multistage Multimodal Motion Prediction

One of the critical pieces of the self-driving puzzle is understanding t...

16 Nemanja Djuric, et al. ∙

research

∙ 05/29/2020

PnPNet: End-to-End Perception and Prediction with Tracking in the Loop

We tackle the problem of joint perception and motion forecasting in the ...

10 Ming Liang, et al. ∙

research

∙ 03/30/2020

CPFed: Communication-Efficient and Privacy-Preserving Federated Learning

Federated learning is a machine learning setting where a set of edge dev...

0 Rui Hu, et al. ∙

research

∙ 03/28/2020

Differentially Private Federated Learning for Resource-Constrained Internet of Things

With the proliferation of smart devices having built-in sensors, Interne...

0 Rui Hu, et al. ∙

research

∙ 12/05/2019

PolyTransform: Deep Polygon Transformer for Instance Segmentation

In this paper, we propose PolyTransform, a novel instance segmentation a...

24 Justin Liang, et al. ∙

research

∙ 09/12/2019

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Our goal is to significantly speed up the runtime of current state-of-th...

0 Shivam Duggal, et al. ∙

research

∙ 04/18/2019

Deep Rigid Instance Scene Flow

In this paper we tackle the problem of scene flow estimation in the cont...

6 Wei-Chiu Ma, et al. ∙

research

∙ 01/12/2019

UPSNet: A Unified Panoptic Segmentation Network

In this paper, we propose a unified panoptic segmentation network (UPSNe...

22 Yuwen Xiong, et al. ∙

research

∙ 10/19/2018

Linear Shrinkage Estimation of Covariance Matrices Using Low-Complexity Cross-Validation

Shrinkage can effectively improve the condition number and accuracy of c...

0 Jun Tong, et al. ∙

research

∙ 10/10/2018

Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

Hybrid massive MIMO structures with reduced hardware complexity and powe...

0 Rui Hu, et al. ∙

research

∙ 08/30/2018

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy

Distributed machine learning is making great changes in a wide variety o...

0 Zonghao Huang, et al. ∙

research

∙ 02/02/2015

Structured Occlusion Coding for Robust Face Recognition

Occlusion in face recognition is a common yet challenging problem. While...

0 Yandong Wen, et al. ∙

research

∙ 06/20/2013

Determining Points on Handwritten Mathematical Symbols

In a variety of applications, such as handwritten mathematics and diagra...

0 Rui Hu, et al. ∙

Rui Hu

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