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02/22/2023
DISCO: Distributed Inference with Sparse Communications
Deep neural networks (DNNs) have great potential to solve many real-worl...
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01/18/2023
HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments
Cross-matching operation, which is to find corresponding data for the sa...
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12/30/2022
LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives
In modern solid-state drives (SSDs), the indexing of flash pages is a cr...
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07/21/2022
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior
Real-world behavior is often shaped by complex interactions between mult...
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12/03/2021
Characterizing Performance Bugs in Deep Learning Systems
Deep learning (DL) has been increasingly applied to a variety of domains...
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10/13/2021
RelationRS: Relationship Representation Network for Object Detection in Aerial Images
Object detection is a basic and important task in the field of aerial im...
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09/01/2021
Point Cloud Pre-training by Mixing and Disentangling
The annotation for large-scale point clouds is still time-consuming and ...
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08/10/2021
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Finding tampered regions in images is a hot research topic in machine le...
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06/28/2021
PhysiNet: A Combination of Physics-based Model and Neural Network Model for Digital Twins
As the real-time digital counterpart of a physical system or process, di...
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06/18/2021
Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks
Accurate prediction of machining cycle times is important in the manufac...
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08/09/2019
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Dynamic ensembling of classifiers is an effective approach in processing...
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01/30/2018
