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09/18/2023
Bias of AI-Generated Content: An Examination of News Produced by Large Language Models
Large language models (LLMs) have the potential to transform our lives a...
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06/29/2023
When Edge Meets FaaS: Opportunities and Challenges
The proliferation of edge devices and the rapid growth of IoT data have ...
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06/29/2023
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage
NVMe SSD caching has demonstrated impressive capabilities in solving clo...
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06/05/2023
Confidence-based federated distillation for vision-based lane-centering
A fundamental challenge of autonomous driving is maintaining the vehicle...
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03/14/2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Pruning is a promising approach to compress deep learning models in orde...
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03/14/2023
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
Knowledge Transfer (KT) achieves competitive performance and is widely u...
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03/09/2023
GPU-enabled Function-as-a-Service for Machine Learning Inference
Function-as-a-Service (FaaS) is emerging as an important cloud computing...
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12/05/2022
FeSAC: Federated Learning-Based Soft Actor-Critic Traffic Offloading in Space-Air-Ground Integrated Network
With the increase of intelligent devices leading to increasing demand fo...
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09/08/2022
RGB-X Classification for Electronics Sorting
Effectively disassembling and recovering materials from waste electrical...
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05/27/2022
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Accurate sensor calibration is a prerequisite for multi-sensor perceptio...
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04/02/2022
RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration
Reliable feature point matching is a vital yet challenging process in fe...
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03/25/2022
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition
Emotion recognition in conversation (ERC) aims to analyze the speaker's ...
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03/03/2022
LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
3D room layout estimation by a single panorama using deep neural network...
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01/25/2022
Serving Deep Learning Models with Deduplication from Relational Databases
There are significant benefits to serve deep learning models from relati...
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01/22/2022
Iterative Activation-based Structured Pruning
Deploying complex deep learning models on edge devices is challenging be...
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01/22/2022
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
Deep learning models have introduced various intelligent applications to...
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01/21/2022
Adaptive Activation-based Structured Pruning
Pruning is a promising approach to compress complex deep learning models...
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10/22/2021
MIC: Model-agnostic Integrated Cross-channel Recommenders
Semantically connecting users and items is a fundamental problem for the...
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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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06/16/2021
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
For the task of conversation emotion recognition, recent works focus on ...
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01/26/2021
On the Evaluation of Vision-and-Language Navigation Instructions
Vision-and-Language Navigation wayfinding agents can be enhanced by expl...
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11/18/2020
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
Identifying a short segment in a long video that semantically matches a ...
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10/27/2020
EdgeBench: A Workflow-based Benchmark for Edge Computing
Edge computing has been developed to utilize multiple tiers of resources...
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03/28/2020
Semi-Federated Learning
Federated learning (FL) enables massive distributed Information and Comm...
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02/13/2020
A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diag...
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08/10/2018
A simplified convolutional sparse filter for impulsive signature enhancement and its application to the prognostic of rotating machinery
Impulsive signature enhancement (ISE) is an important topic in the monit...
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04/17/2018
Are FPGAs Suitable for Edge Computing?
The rapid growth of Internet-of-things (IoT) and artificial intelligence...
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12/09/2017