Zhengping Che | DeepAI

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Kyunghyun Cho
203 publications
Yu Cheng
127 publications
Jian Tang
123 publications
Yanzhi Wang
120 publications
Yan Liu
118 publications
Sijia Liu
105 publications
Jieping Ye
88 publications
David Sontag
70 publications
Bo Jiang
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Changshui Zhang
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Ning Liu
38 publications

∙ 07/24/2022

Label-Guided Auxiliary Training Improves 3D Object Detector

Detecting 3D objects from point clouds is a practical yet challenging ta...

7 Yaomin Huang, et al. ∙

∙ 03/21/2022

RGB-Depth Fusion GAN for Indoor Depth Completion

The raw depth image captured by the indoor depth sensor usually has an e...

13 Haowen Wang, et al. ∙

∙ 02/17/2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

Vision-based autonomous urban driving in dense traffic is quite challeng...

2 Yinuo Zhao, et al. ∙

∙ 10/21/2021

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Deep convolutional neural networks are shown to be overkill with high pa...

12 Wenzheng Hu, et al. ∙

∙ 07/23/2021

Human Pose Transfer with Disentangled Feature Consistency

Deep generative models have made great progress in synthesizing images w...

3 Kun Wu, et al. ∙

∙ 02/19/2021

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?

In deep model compression, the recent finding "Lottery Ticket Hypothesis...

8 Ning Liu, et al. ∙

∙ 11/05/2020

Fast Object Detection with Latticed Multi-Scale Feature Fusion

Scale variance is one of the crucial challenges in multi-scale object de...

6 Yue Shi, et al. ∙

∙ 11/05/2020

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction

Video anomaly detection is commonly used in many applications such as se...

2 Xuanzhao Wang, et al. ∙

∙ 11/04/2020

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

The convolutional neural network has achieved great success in fulfillin...

1 Yushuo Guan, et al. ∙

∙ 10/15/2020

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

While Deep Reinforcement Learning (DRL) has emerged as a promising appro...

70 Zhiyuan Xu, et al. ∙

∙ 04/03/2019

D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

Driving datasets accelerate the development of intelligent driving and r...

0 Zhengping Che, et al. ∙

∙ 10/23/2017

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

Deep learning models (aka Deep Neural Networks) have revolutionized many...

0 Sanjay Purushotham, et al. ∙

∙ 09/06/2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

The rapid growth of Electronic Health Records (EHRs), as well as the acc...

0 Zhengping Che, et al. ∙

∙ 01/25/2017

Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding

The widespread availability of electronic health records (EHRs) promises...

0 Zhengping Che, et al. ∙

∙ 06/06/2016

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Multivariate time series data in practical applications, such as health ...

0 Zhengping Che, et al. ∙

∙ 12/11/2015

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain

Exponential growth in Electronic Healthcare Records (EHR) has resulted i...

0 Zhengping Che, et al. ∙