b'Kai Zhao'

research

∙ 09/07/2023

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

The fast growth of computational power and scales of modern super-comput...

0 Jinyang Liu, et al. ∙

research

∙ 08/09/2023

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters

GPU-aware collective communication has become a major bottleneck for mod...

0 Jiajun Huang, et al. ∙

research

∙ 07/21/2023

PartDiff: Image Super-resolution with Partial Diffusion Models

Denoising diffusion probabilistic models (DDPMs) have achieved impressiv...

0 Kai Zhao, et al. ∙

research

∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

research

∙ 07/13/2023

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications

As supercomputers advance towards exascale capabilities, computational i...

0 Daoce Wang, et al. ∙

research

∙ 06/12/2023

Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration

Offline reinforcement learning (RL) is a learning paradigm where an agen...

0 Kai Zhao, et al. ∙

research

∙ 05/17/2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations

Recent work on knowledge graph completion (KGC) focused on learning embe...

0 Zihan Wang, et al. ∙

research

∙ 04/29/2023

Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks

In node classification using graph neural networks (GNNs), a typical mod...

0 Feng Ji, et al. ∙

research

∙ 04/13/2023

Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment

Video quality assessment (VQA) aims to simulate the human perception of ...

0 Kai Zhao, et al. ∙

research

∙ 04/08/2023

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives

With the ever-increasing computing power of supercomputers and the growi...

0 Jiajun Huang, et al. ∙

research

∙ 04/07/2023

Distributional Signals for Node Classification in Graph Neural Networks

In graph neural networks (GNNs), both node features and labels are examp...

0 Feng Ji, et al. ∙

research

∙ 03/01/2023

Quality-aware Pre-trained Models for Blind Image Quality Assessment

Blind image quality assessment (BIQA) aims to automatically evaluate the...

0 Kai Zhao, et al. ∙

research

∙ 01/09/2023

Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems

One-sided dense matrix decompositions (e.g., Cholesky, LU, and QR) are t...

0 Jieyang Chen, et al. ∙

research

∙ 01/05/2023

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations

Today's scientific simulations require a significant reduction of data v...

0 Jesus Pulido, et al. ∙

research

∙ 12/20/2022

A Pattern Discovery Approach to Multivariate Time Series Forecasting

Multivariate time series forecasting constitutes important functionality...

0 Yunyao Cheng, et al. ∙

research

∙ 08/23/2022

Learning an Efficient Multimodal Depth Completion Model

With the wide application of sparse ToF sensors in mobile devices, RGB i...

0 Dewang Hou, et al. ∙

research

∙ 07/25/2022

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation

Reliable navigation systems have a wide range of applications in robotic...

0 Wenqi Zhang, et al. ∙

research

∙ 04/30/2022

Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering

A common requirement of plant breeding programs across the country is co...

0 Venkat Margapuri, et al. ∙

research

∙ 03/27/2022

Video Polyp Segmentation: A Deep Learning Perspective

In the deep learning era, we present the first comprehensive video polyp...

10 Ge-Peng Ji, et al. ∙

research

∙ 03/18/2022

ContrastMask: Contrastive Learning to Segment Every Thing

Partially-supervised instance segmentation is a task which requests segm...

0 Xuehui Wang, et al. ∙

research

∙ 01/31/2022

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets

Today's scientific high performance computing (HPC) applications or adva...

0 Xiaodong Yu, et al. ∙

research

∙ 12/29/2021

The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding

It has been found that human mobility exhibits random patterns following...

0 Linfang Tian, et al. ∙

research

∙ 11/16/2021

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach

Despite decades of efforts, robot navigation in a real scenario with vol...

0 Wenqi Zhang, et al. ∙

research

∙ 11/04/2021

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

Today's scientific simulations require a significant reduction of data v...

0 Xin Liang, et al. ∙

research

∙ 08/10/2021

Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking

Jointly exploiting multiple different yet complementary domain informati...

8 Jiqing Zhang, et al. ∙

research

∙ 05/31/2021

Adaptive Feature Alignment for Adversarial Training

Recent studies reveal that Convolutional Neural Networks (CNNs) are typi...

6 PetsTime, et al. ∙

research

∙ 05/27/2021

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs

Error-bounded lossy compression is a critical technique for significantl...

0 Jiannan Tian, et al. ∙

research

∙ 05/25/2021

Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data

Error-bounded lossy compression is becoming an indispensable technique f...

0 Jinyang Liu, et al. ∙

research

∙ 04/02/2021

FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance

Basic Linear Algebra Subprograms (BLAS) is a core library in scientific ...

0 Yujia Zhai, et al. ∙

research

∙ 03/24/2021

FakeMix Augmentation Improves Transparent Object Detection

Detecting transparent objects in natural scenes is challenging due to th...

0 Yang Cao, et al. ∙

research

∙ 01/08/2021

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

Efficient error-controlled lossy compressors are becoming critical to th...

0 Kai Zhao, et al. ∙

research

∙ 10/07/2020

SDC Resilient Error-bounded Lossy Compressor

Lossy compression is one of the most important strategies to resolve the...

0 Sihuan Li, et al. ∙

research

∙ 07/19/2020

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...

0 Jiannan Tian, et al. ∙

research

∙ 05/06/2020

Dependency Aware Filter Pruning

Convolutional neural networks (CNNs) are typically over-parameterized, b...

2 Kai Zhao, et al. ∙

research

∙ 03/27/2020

Algorithm-Based Fault Tolerance for Convolutional Neural Networks

Convolutional neural networks (CNNs) are becoming more and more importan...

0 Kai Zhao, et al. ∙

research

∙ 03/10/2020

Deep Hough Transform for Semantic Line Detection

In this paper, we put forward a simple yet effective method to detect me...

14 Qi Han, et al. ∙

research

∙ 02/19/2020

Model-Agnostic Structured Sparsification with Learnable Channel Shuffle

Recent advances in convolutional neural networks (CNNs) usually come wit...

13 Xin-Yu Zhang, et al. ∙

research

∙ 12/22/2019

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...

0 Liang Huang, et al. ∙

research

∙ 07/23/2019

Deep Differentiable Random Forests for Age Estimation

Age estimation from facial images is typically cast as a label distribut...

0 Wei Shen, et al. ∙

research

∙ 04/28/2019

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

Cross-modal transfer is helpful to enhance modality-specific discriminat...

4 Dapeng Du, et al. ∙

research

∙ 04/02/2019

Res2Net: A New Multi-scale Backbone Architecture

Representing features at multiple scales is of great importance for nume...

0 Shang-Hua Gao, et al. ∙

research

∙ 08/31/2018

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

In neural text generation such as neural machine translation, summarizat...

0 Liang Huang, et al. ∙

research

∙ 05/19/2018

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

Current CNN-based solutions to salient object detection (SOD) mainly rel...

0 Kai Zhao, et al. ∙

research

∙ 01/05/2018

Hi-Fi: Hierarchical Feature Integration for Skeleton Detection

In natural images, skeleton scales (thickness) may significantly vary am...

0 Kai Zhao, et al. ∙

research

∙ 12/19/2017

Deep Regression Forests for Age Estimation

Age estimation from facial images is typically cast as a nonlinear regre...

0 Wei Shen, et al. ∙

research

∙ 10/07/2017

OSU Multimodal Machine Translation System Report

This paper describes Oregon State University's submissions to the shared...

0 Mingbo Ma, et al. ∙

research

∙ 09/28/2017

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Sentence-level classification and sequential labeling are two fundamenta...

0 Mingbo Ma, et al. ∙

research

∙ 08/28/2017

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

Discourse parsing has long been treated as a stand-alone problem indepen...

0 Kai Zhao, et al. ∙

research

∙ 01/04/2017

Textual Entailment with Structured Attentions and Composition

Deep learning techniques are increasingly popular in the textual entailm...

0 Kai Zhao, et al. ∙

research

∙ 09/13/2016

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...

0 Wei Shen, et al. ∙

Kai Zhao

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