Zhao Chen | DeepAI

DeepAI AI Chat

Featured Co-authors

Yang Liu
344 publications
Yu Cheng
139 publications
Hao Sun
91 publications
Yao Lu
73 publications
Carl Vondrick
64 publications
Xiaodong Wang
62 publications
Dragomir Anguelov
57 publications
Anelia Angelova
53 publications
Xu Li
53 publications
Andrew Rabinovich
23 publications
Jan Drgona
23 publications

∙ 09/11/2023

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors

We present SHIFT3D, a differentiable pipeline for generating 3D shapes t...

0 Hongge Chen, et al. ∙

∙ 07/11/2022

Structural Inference of Networked Dynamical Systems with Universal Differential Equations

Networked dynamical systems are common throughout science in engineering...

12 James Koch, et al. ∙

∙ 01/16/2022

GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting

We propose GradTail, an algorithm that uses gradients to improve model p...

0 Zhao Chen, et al. ∙

∙ 10/14/2020

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout

The vast majority of deep models use multiple gradient signals, typicall...

0 Zhao Chen, et al. ∙

∙ 06/06/2020

Sparse representation for damage identification of structural systems

Identifying damage of structural systems is typically characterized as a...

0 Zhao Chen, et al. ∙

∙ 05/14/2020

Taskology: Utilizing Task Relations at Scale

It has been recognized that the joint training of computer vision tasks ...

1 Yao Lu, et al. ∙

∙ 05/05/2020

Deep learning of physical laws from scarce data

Harnessing data to discover the underlying governing laws or equations t...

9 Zhao Chen, et al. ∙

∙ 04/25/2019

DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences

We present DeepPerimeter, a deep learning based pipeline for inferring a...

10 Ameya Phalak, et al. ∙

∙ 12/16/2018

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach

Mobile edge computing (MEC) emerges recently as a promising solution to ...

0 Zhao Chen, et al. ∙

∙ 06/21/2018

Gradient Adversarial Training of Neural Networks

We propose gradient adversarial training, an auxiliary deep learning fra...

8 Ayan Sinha, et al. ∙

∙ 06/02/2018

A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks

In this paper, the theoretical sustainable capacity of wireless networks...

0 Ziru Chen, et al. ∙

∙ 05/06/2018

Beamforming Design for Max-Min Fair SWIPT in Green Cloud-RAN with Wireless Fronthaul

In this paper, a joint beamforming design for max-min fair simultaneous ...

0 Zhao Chen, et al. ∙

∙ 04/08/2018

Estimating Depth from RGB and Sparse Sensing

We present a deep model that can accurately produce dense depth maps giv...

0 Zhao Chen, et al. ∙

∙ 03/28/2018

A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green C-RAN

In this paper, we consider a green cloud radio access network (C-RAN) wi...

0 Xu Li, et al. ∙

∙ 11/07/2017

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Deep multitask networks, in which one neural network produces multiple p...

0 Zhao Chen, et al. ∙

∙ 11/14/2016

3-D Convolutional Neural Networks for Glioblastoma Segmentation

Convolutional Neural Networks (CNN) have emerged as powerful tools for l...

0 Darvin Yi, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world