Kai Zhao

SDC Resilient Error-bounded Lossy Compressor

Lossy compression is one of the most important strategies to resolve the...
10/07/2020 ∙ by Sihuan Li, et al. ∙ 0 ∙ share

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cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

Error-bounded lossy compression is a state-of-the-art data reduction tec...
07/19/2020 ∙ by Jiannan Tian, et al. ∙ 0 ∙ share

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Dependency Aware Filter Pruning

Convolutional neural networks (CNNs) are typically over-parameterized, b...
05/06/2020 ∙ by Kai Zhao, et al. ∙ 2 ∙ share

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Algorithm-Based Fault Tolerance for Convolutional Neural Networks

Convolutional neural networks (CNNs) are becoming more and more importan...
03/27/2020 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Deep Hough Transform for Semantic Line Detection

In this paper, we put forward a simple yet effective method to detect me...
03/10/2020 ∙ by Qi Han, et al. ∙ 14 ∙ share

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Model-Agnostic Structured Sparsification with Learnable Channel Shuffle

Recent advances in convolutional neural networks (CNNs) usually come wit...
02/19/2020 ∙ by Xin-Yu Zhang, et al. ∙ 13 ∙ share

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LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

Motivation: Predicting the secondary structure of an RNA sequence is use...
12/22/2019 ∙ by Liang Huang, et al. ∙ 0 ∙ share

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Deep Differentiable Random Forests for Age Estimation

Age estimation from facial images is typically cast as a label distribut...
07/23/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Translate-to-Recognize Networks for RGB-D Scene Recognition

Cross-modal transfer is helpful to enhance modality-specific discriminat...
04/28/2019 ∙ by Dapeng Du, et al. ∙ 4 ∙ share

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Res2Net: A New Multi-scale Backbone Architecture

Representing features at multiple scales is of great importance for nume...
04/02/2019 ∙ by Shang-Hua Gao, et al. ∙ 0 ∙ share

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When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

In neural text generation such as neural machine translation, summarizat...
08/31/2018 ∙ by Liang Huang, et al. ∙ 0 ∙ share

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Optimizing the F-measure for Threshold-free Salient Object Detection

Current CNN-based solutions to salient object detection (SOD) mainly rel...
05/19/2018 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Hi-Fi: Hierarchical Feature Integration for Skeleton Detection

In natural images, skeleton scales (thickness) may significantly vary am...
01/05/2018 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Deep Regression Forests for Age Estimation

Age estimation from facial images is typically cast as a nonlinear regre...
12/19/2017 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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OSU Multimodal Machine Translation System Report

This paper describes Oregon State University's submissions to the shared...
10/07/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Sentence-level classification and sequential labeling are two fundamenta...
09/28/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

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Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

Discourse parsing has long been treated as a stand-alone problem indepen...
08/28/2017 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Textual Entailment with Structured Attentions and Composition

Deep learning techniques are increasingly popular in the textual entailm...
01/04/2017 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Object skeletons are useful for object representation and object detecti...
09/13/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Urban Pulse: Capturing the Rhythm of Cities

Cities are inherently dynamic. Interesting patterns of behavior typicall...
08/24/2016 ∙ by Fabio Miranda, et al. ∙ 0 ∙ share

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Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs

Object skeleton is a useful cue for object detection, complementary to t...
03/31/2016 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Type-Driven Incremental Semantic Parsing with Polymorphism

Semantic parsing has made significant progress, but most current semanti...
11/19/2014 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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Kai Zhao

Featured Co-authors

Ming-Hsuan Yang

Alan Yuille

Yan Wang

Xiang Bai

Ming-Ming Cheng

Jun Xu

Bo Wang

Bowen Zhou

Liang Huang

Wei Shen

Limin Wang

SDC Resilient Error-bounded Lossy Compressor

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

Dependency Aware Filter Pruning

Algorithm-Based Fault Tolerance for Convolutional Neural Networks

Deep Hough Transform for Semantic Line Detection

Model-Agnostic Structured Sparsification with Learnable Channel Shuffle

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

Deep Differentiable Random Forests for Age Estimation

Translate-to-Recognize Networks for RGB-D Scene Recognition

Res2Net: A New Multi-scale Backbone Architecture

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

Optimizing the F-measure for Threshold-free Salient Object Detection

Hi-Fi: Hierarchical Feature Integration for Skeleton Detection

Deep Regression Forests for Age Estimation

OSU Multimodal Machine Translation System Report

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

Textual Entailment with Structured Attentions and Composition

DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Urban Pulse: Capturing the Rhythm of Cities

Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs

Type-Driven Incremental Semantic Parsing with Polymorphism