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04/15/2023
Edge Computing Empowered Tactile Internet for Human Digital Twin: Visions and Case Study
Tactile Internet (TI), with the capability of providing multisensory hap...
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01/16/2023
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks
Relational graph neural networks (RGNNs) are graph neural networks (GNNs...
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06/27/2022
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Local representation learning has been a key challenge to promote the pe...
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04/26/2022
Faster and Better Grammar-based Text-to-SQL Parsing via Clause-level Parallel Decoding and Alignment Loss
Grammar-based parsers have achieved high performance in the cross-domain...
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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...
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11/10/2021
Graph Neural Network Training with Data Tiering
Graph Neural Networks (GNNs) have shown success in learning from graph-s...
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07/23/2021
Human Pose Transfer with Disentangled Feature Consistency
Deep generative models have made great progress in synthesizing images w...
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03/04/2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
Graph Convolutional Networks (GCNs) are increasingly adopted in large-sc...
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03/03/2021
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
Data augmentation has attracted a lot of research attention in the deep ...
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01/20/2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses
With the increasing adoption of graph neural networks (GNNs) in the mach...
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12/28/2020
TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes
MPI derived datatypes are an abstraction that simplifies handling of non...
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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...
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04/07/2018