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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...
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08/09/2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
GPU-aware collective communication has become a major bottleneck for mod...
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07/21/2023
PartDiff: Image Super-resolution with Partial Diffusion Models
Denoising diffusion probabilistic models (DDPMs) have achieved impressiv...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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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...
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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...
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05/17/2023
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Recent work on knowledge graph completion (KGC) focused on learning embe...
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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...
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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 ...
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04/08/2023
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives
With the ever-increasing computing power of supercomputers and the growi...
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04/07/2023
Distributional Signals for Node Classification in Graph Neural Networks
In graph neural networks (GNNs), both node features and labels are examp...
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03/01/2023
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Blind image quality assessment (BIQA) aims to automatically evaluate the...
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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...
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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...
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12/20/2022
A Pattern Discovery Approach to Multivariate Time Series Forecasting
Multivariate time series forecasting constitutes important functionality...
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08/23/2022
Learning an Efficient Multimodal Depth Completion Model
With the wide application of sparse ToF sensors in mobile devices, RGB i...
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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...
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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...
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03/27/2022
Video Polyp Segmentation: A Deep Learning Perspective
In the deep learning era, we present the first comprehensive video polyp...
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03/18/2022
ContrastMask: Contrastive Learning to Segment Every Thing
Partially-supervised instance segmentation is a task which requests segm...
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01/31/2022
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets
Today's scientific high performance computing (HPC) applications or adva...
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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...
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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...
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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...
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08/10/2021
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
Jointly exploiting multiple different yet complementary domain informati...
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05/31/2021
Adaptive Feature Alignment for Adversarial Training
Recent studies reveal that Convolutional Neural Networks (CNNs) are typi...
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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...
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05/25/2021
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Error-bounded lossy compression is becoming an indispensable technique f...
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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 ...
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03/24/2021
FakeMix Augmentation Improves Transparent Object Detection
Detecting transparent objects in natural scenes is challenging due to th...
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01/08/2021
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Efficient error-controlled lossy compressors are becoming critical to th...
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10/07/2020
SDC Resilient Error-bounded Lossy Compressor
Lossy compression is one of the most important strategies to resolve the...
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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...
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05/06/2020
Dependency Aware Filter Pruning
Convolutional neural networks (CNNs) are typically over-parameterized, b...
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03/27/2020
Algorithm-Based Fault Tolerance for Convolutional Neural Networks
Convolutional neural networks (CNNs) are becoming more and more importan...
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03/10/2020
Deep Hough Transform for Semantic Line Detection
In this paper, we put forward a simple yet effective method to detect me...
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02/19/2020
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle
Recent advances in convolutional neural networks (CNNs) usually come wit...
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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...
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07/23/2019
Deep Differentiable Random Forests for Age Estimation
Age estimation from facial images is typically cast as a label distribut...
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04/28/2019
Translate-to-Recognize Networks for RGB-D Scene Recognition
Cross-modal transfer is helpful to enhance modality-specific discriminat...
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04/02/2019
Res2Net: A New Multi-scale Backbone Architecture
Representing features at multiple scales is of great importance for nume...
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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...
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05/19/2018
Optimizing the F-measure for Threshold-free Salient Object Detection
Current CNN-based solutions to salient object detection (SOD) mainly rel...
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01/05/2018
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
In natural images, skeleton scales (thickness) may significantly vary am...
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12/19/2017
Deep Regression Forests for Age Estimation
Age estimation from facial images is typically cast as a nonlinear regre...
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10/07/2017
OSU Multimodal Machine Translation System Report
This paper describes Oregon State University's submissions to the shared...
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09/28/2017
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentence-level classification and sequential labeling are two fundamenta...
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08/28/2017
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank
Discourse parsing has long been treated as a stand-alone problem indepen...
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01/04/2017
Textual Entailment with Structured Attentions and Composition
Deep learning techniques are increasingly popular in the textual entailm...
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09/13/2016