Zhiyuan Xu | DeepAI

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Featured Co-authors

Jian Tang
129 publications
Yanzhi Wang
123 publications
Ji-Rong Wen
113 publications
Xinyu Zhang
106 publications
Dong Liu
95 publications
Jieping Ye
93 publications
Wayne Xin Zhao
87 publications
Ying Liu
47 publications
Ning Liu
46 publications
Xiaolong Ma
38 publications
Chi Harold Liu
24 publications

∙ 08/04/2023

DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field

Estimating 6D poses and reconstructing 3D shapes of objects in open-worl...

0 Haowen Wang, et al. ∙

∙ 07/10/2023

Vocal Tract Area Estimation by Gradient Descent

Articulatory features can provide interpretable and flexible controls fo...

0 David Südholt, et al. ∙

∙ 06/06/2023

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion

The raw depth image captured by indoor depth sensors usually has an exte...

0 Haowen Wang, et al. ∙

∙ 03/23/2023

CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network

In this paper, we propose a novel representation for grasping using cont...

0 Mingze Wei, et al. ∙

∙ 03/23/2023

CP^3: Channel Pruning Plug-in for Point-based Networks

Channel pruning can effectively reduce both computational cost and memor...

0 Yaomin Huang, et al. ∙

∙ 11/21/2022

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation

With the growth of high-dimensional sparse data in web-scale recommender...

0 Zhen Tian, et al. ∙

∙ 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. ∙

∙ 10/15/2020

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. ∙

∙ 07/06/2019

AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...

2 Ning Liu, et al. ∙

∙ 07/06/2019

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...

0 Ning Liu, et al. ∙

∙ 06/08/2018

Adversarial Meta-Learning

Meta-learning enables a model to learn from very limited data to underta...

0 Chengxiang Yin, et al. ∙

∙ 03/02/2018

Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning

In this paper, we focus on general-purpose Distributed Stream Data Proce...

0 Teng Li, et al. ∙

∙ 01/28/2018

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data

This paper presents the first deep reinforcement learning (DRL) framewor...

0 Ning Liu, et al. ∙

∙ 01/17/2018

Experience-driven Networking: A Deep Reinforcement Learning based Approach

Modern communication networks have become very complicated and highly dy...

0 Zhiyuan Xu, et al. ∙

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