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01/26/2023
Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing
Although a typical autopilot system far surpasses humans in term of sens...
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01/28/2022
A Secure and Efficient Federated Learning Framework for NLP
In this work, we consider the problem of designing secure and efficient ...
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03/11/2021
TAG: Transformer Attack from Gradient
Although federated learning has increasingly gained attention in terms o...
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09/17/2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
Pretrained large-scale language models have increasingly demonstrated hi...
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07/16/2020
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
In natural language processing (NLP), the "Transformer" architecture was...
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04/22/2020
Knot Morphing Algorithm for Quantum `Fragile Topology'
A knot theoretic algorithm is proposed to model `fragile topology' of qu...
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12/20/2019
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based
Cloud computing has attracted both end-users and Cloud Service Providers...
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12/20/2019
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers
Cloud computing has attracted both end-users and Cloud Service Providers...
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06/04/2018
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks
The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for e...
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05/10/2018
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing
Recently, Deep Convolutional Neural Network (DCNN) has achieved tremendo...
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03/28/2018
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators
Thermoelectric generation (TEG) has increasingly drawn attention for bei...
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10/30/2017
Indirect Supervision for Relation Extraction using Question-Answer Pairs
Automatic relation extraction (RE) for types of interest is of great imp...
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03/12/2017
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks
Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecede...
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11/18/2016
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing
With recent advancing of Internet of Things (IoTs), it becomes very attr...
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07/23/2012
