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08/07/2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Despite the tremendous advances achieved over the past years by deep lea...
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04/29/2023
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis
The increasing scale of alternating current and direct current (AC/DC) h...
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10/18/2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
We consider a new problem of few-shot learning of compact models. Meta-l...
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10/13/2021
Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength
For a non-technical audience, new concepts from computer science and eng...
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04/29/2021
Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks
We introduce Tuna, a static analysis approach to optimizing deep neural ...
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03/06/2021
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More
Deep learning implementations on CPUs (Central Processing Units) are gai...
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01/22/2021
Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
As a natural way for human-computer interaction, fixation provides a pro...
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06/04/2020
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference
Modern deep neural networks increasingly make use of features such as dy...
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01/26/2020
SDOD:Real-time Segmenting and Detecting 3D Objects by Depth
Most existing instance segmentation methods only focus on 2D objects and...
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11/23/2019
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
In recent years, person re-identification (PReID) has become a hot topic...
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04/11/2016