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When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
Automatic speech recognition (ASR) systems have been widely deployed in ...
09/01/2020 ∙ by Shu Wang, et al. ∙
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Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks
Human collaborators can effectively communicate with their partners to f...
07/24/2020 ∙ by Xiaofeng Gao, et al. ∙
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A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables
Finite mixture model is an important branch of clustering methods and ca...
05/09/2019 ∙ by Shu Wang, et al. ∙
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Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
Clustering is an essential technique for discovering patterns in data. T...
05/06/2019 ∙ by Shu Wang, et al. ∙
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In Search of a Key Value Store with High Performance and High Availability
In recent year, the write-heavy applications is more and more prevalent....
04/17/2019 ∙ by Huaibing Jian, et al. ∙
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VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
One of the main challenges of advancing task-oriented learning such as v...
03/13/2019 ∙ by Xiaofeng Gao, et al. ∙
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NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education
Relational database management system (RDBMS) is a major undergraduate c...
05/15/2018 ∙ by Siyuan Liu, et al. ∙
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NEURON: An Interactive Natural Language Interface for Understanding Query Execution Plans in RDBMS
Natural language interfaces for relational databases have been explored ...
05/15/2018 ∙ by Siyuan Liu, et al. ∙
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Differentially Private Generative Adversarial Network
Generative Adversarial Network (GAN) and its variants have recently attr...
02/19/2018 ∙ by Liyang Xie, et al. ∙
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Understanding and Auto-Adjusting Performance-Related Configurations
Modern software systems are often equipped with hundreds to thousands of...
10/20/2017 ∙ by Shu Wang, et al. ∙
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An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Complex activity recognition is challenging due to the inherent uncertai...
01/04/2017 ∙ by Li Liu, et al. ∙
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Multispectral Deep Neural Networks for Pedestrian Detection
Multispectral pedestrian detection is essential for around-the-clock app...
11/08/2016 ∙ by Jingjing Liu, et al. ∙
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Visual Tracking via Reliable Memories
In this paper, we propose a novel visual tracking framework that intelli...
02/04/2016 ∙ by Shu Wang, et al. ∙
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