Yida Wang

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Amazon ∙ Princeton University

Probabilistic Accumulate-then-Transmit in Wireless-Powered Covert Communications

In this paper, we investigate the optimal design of a wireless-powered c...
04/13/2021 ∙ by Yida Wang, et al. ∙ 0 ∙ share

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UNIT: Unifying Tensorized Instruction Compilation

Because of the increasing demand for computation in DNN, researchers dev...
01/21/2021 ∙ by Jian Weng, et al. ∙ 3 ∙ share

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HAWQV3: Dyadic Neural Network Quantization

Quantization is one of the key techniques used to make Neural Networks (...
11/20/2020 ∙ by Zhewei Yao, et al. ∙ 7 ∙ share

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FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems

Graph neural networks (GNNs) are gaining increasing popularity as a prom...
08/26/2020 ∙ by Yuwei Hu, et al. ∙ 0 ∙ share

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SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

Point clouds are often the default choice for many applications as they ...
08/17/2020 ∙ by Yida Wang, et al. ∙ 24 ∙ share

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A Large-Scale Chinese Short-Text Conversation Dataset

The advancements of neural dialogue generation models show promising res...
08/10/2020 ∙ by Yida Wang, et al. ∙ 0 ∙ share

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Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments

In this paper a low-drift monocular SLAM method is proposed targeting in...
08/05/2020 ∙ by Yanyan Li, et al. ∙ 0 ∙ share

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Covert Communications with Constrained Age of Information

In this letter, we consider the requirement of information freshness in ...
06/22/2020 ∙ by Yida Wang, et al. ∙ 0 ∙ share

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Efficient Execution of Quantized Deep Learning Models: A Compiler Approach

A growing number of applications implement predictive functions using de...
06/18/2020 ∙ by Animesh Jain, et al. ∙ 0 ∙ share

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Is Network the Bottleneck of Distributed Training?

Recently there has been a surge of research on improving the communicati...
06/17/2020 ∙ by Zhen Zhang, et al. ∙ 0 ∙ share

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Ansor : Generating High-Performance Tensor Programs for Deep Learning

High-performance tensor programs are crucial to guarantee efficient exec...
06/11/2020 ∙ by Lianmin Zheng, et al. ∙ 10 ∙ share

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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference

Modern deep neural networks increasingly make use of features such as dy...
06/04/2020 ∙ by Haichen Shen, et al. ∙ 0 ∙ share

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Optimizing Memory-Access Patterns for Deep Learning Accelerators

Deep learning (DL) workloads are moving towards accelerators for faster ...
02/27/2020 ∙ by Hongbin Zheng, et al. ∙ 0 ∙ share

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ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image

We propose a novel model for 3D semantic completion from a single depth ...
09/03/2019 ∙ by Yida Wang, et al. ∙ 0 ∙ share

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A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Modern deep learning applications urge to push the model inference takin...
07/03/2019 ∙ by Leyuan Wang, et al. ∙ 0 ∙ share

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Adversarial Semantic Scene Completion from a Single Depth Image

We propose a method to reconstruct, complete and semantically label a 3D...
10/25/2018 ∙ by Yida Wang, et al. ∙ 14 ∙ share

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Optimizing CNN Model Inference on CPUs

The popularity of Convolutional Neural Network (CNN) models and the ubiq...
09/07/2018 ∙ by Yizhi Liu, et al. ∙ 0 ∙ share

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Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs

For a deep learning model, efficient execution of its computation graph ...
07/16/2018 ∙ by Linpeng Tang, et al. ∙ 0 ∙ share

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Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models

Given large amount of real photos for training, Convolutional neural net...
05/24/2017 ∙ by Yida Wang, et al. ∙ 0 ∙ share

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Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets

The scale of functional magnetic resonance image data is rapidly increas...
08/16/2016 ∙ by Michael J. Anderson, et al. ∙ 0 ∙ share

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Yida Wang

Featured Co-authors

Nassir Navab

Wei Chen

Zheng Zhang

Michael W. Mahoney

Derrick Wing Kwan Ng

Kurt Keutzer

Minlie Huang

Jie Wang

Federico Tombari

Joseph E. Gonzalez

Yao Wang

Probabilistic Accumulate-then-Transmit in Wireless-Powered Covert Communications

UNIT: Unifying Tensorized Instruction Compilation

HAWQV3: Dyadic Neural Network Quantization

FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

A Large-Scale Chinese Short-Text Conversation Dataset

Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments

Covert Communications with Constrained Age of Information

Efficient Execution of Quantized Deep Learning Models: A Compiler Approach

Is Network the Bottleneck of Distributed Training?

Ansor : Generating High-Performance Tensor Programs for Deep Learning

Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference

Optimizing Memory-Access Patterns for Deep Learning Accelerators

ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Adversarial Semantic Scene Completion from a Single Depth Image

Optimizing CNN Model Inference on CPUs

Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs

Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models

Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets