b'Yuan Tian'

Self-Conditioned Probabilistic Learning of Video Rescaling

Bicubic downscaling is a prevalent technique used to reduce the video st...
07/24/2021 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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EAN: Event Adaptive Network for Enhanced Action Recognition

Efficiently modeling spatial-temporal information in videos is crucial f...
07/22/2021 ∙ by Yuan Tian, et al. ∙ 7 ∙ share

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What and How long: Prediction of Mobile App Engagement

User engagement is crucial to the long-term success of a mobile app. Sev...
06/02/2021 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Camera scene detection is among the most popular computer vision problem...
05/17/2021 ∙ by Andrey Ignatov, et al. ∙ 7 ∙ share

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CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

We introduce CryptGPU, a system for privacy-preserving machine learning ...
04/22/2021 ∙ by Sijun Tan, et al. ∙ 0 ∙ share

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Towards Fortifying the Multi-Factor-Based Online Account Ecosystem

With the rapid growth of online services, the number of online accounts ...
04/17/2021 ∙ by Weizhao Jin, et al. ∙ 0 ∙ share

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Understanding and Mitigating Accuracy Disparity in Regression

With the widespread deployment of large-scale prediction systems in high...
02/24/2021 ∙ by Jianfeng Chi, et al. ∙ 0 ∙ share

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Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks

We study the problem of incorporating prior knowledge into a deep Transf...
02/22/2021 ∙ by Tingyu Xia, et al. ∙ 0 ∙ share

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Meta Federated Learning

Due to its distributed methodology alongside its privacy-preserving feat...
02/10/2021 ∙ by Omid Aramoon, et al. ∙ 0 ∙ share

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Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control

Robots assist in many areas that are considered unsafe for humans to ope...
02/06/2021 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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SkillBot: Identifying Risky Content for Children in Alexa Skills

Many households include children who use voice personal assistants (VPA)...
02/05/2021 ∙ by Tu Le, et al. ∙ 0 ∙ share

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Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

Data heterogeneity has been identified as one of the key features in fed...
02/01/2021 ∙ by Syed Zawad, et al. ∙ 9 ∙ share

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Intent Classification and Slot Filling for Privacy Policies

Understanding privacy policies is crucial for users as it empowers them ...
01/01/2021 ∙ by Wasi Uddin Ahmad, et al. ∙ 0 ∙ share

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Battery Model Calibration with Deep Reinforcement Learning

Lithium-Ion (Li-I) batteries have recently become pervasive and are used...
12/07/2020 ∙ by Ajaykumar Unagar, et al. ∙ 0 ∙ share

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Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Reinforcement learning (RL) is promising for complicated stochastic nonl...
11/13/2020 ∙ by Minghao Han, et al. ∙ 10 ∙ share

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PolicyQA: A Reading Comprehension Dataset for Privacy Policies

Privacy policy documents are long and verbose. A question answering (QA)...
10/06/2020 ∙ by Wasi Uddin Ahmad, et al. ∙ 0 ∙ share

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Dual-path CNN with Max Gated block for Text-Based Person Re-identification

Text-based person re-identification(Re-id) is an important task in video...
09/20/2020 ∙ by Tinghuai Ma, et al. ∙ 10 ∙ share

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A First Look at the Deprecation of RESTful APIs: An Empirical Study

REpresentational State Transfer (REST) is considered as one standard sof...
08/28/2020 ∙ by Jerin Yasmin, et al. ∙ 0 ∙ share

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Video-ception Network: Towards Multi-Scale Efficient Asymmetric Spatial-Temporal Interactions

Previous video modeling methods leverage the cubic 3D convolution filter...
07/22/2020 ∙ by Yuan Tian, et al. ∙ 4 ∙ share

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Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

In this paper, we introduce a new reinforcement learning (RL) based neur...
07/17/2020 ∙ by Yuan Tian, et al. ∙ 29 ∙ share

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Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds

Machine learning systems that rely on training data collected from untru...
06/30/2020 ∙ by Fnu Suya, et al. ∙ 0 ∙ share

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Real-Time Model Calibration with Deep Reinforcement Learning

The dynamic, real-time, and accurate inference of model parameters from ...
06/07/2020 ∙ by Manuel Arias Chao, et al. ∙ 16 ∙ share

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A Bayesian semi-parametric hybrid model for spatial extremes with unknown dependence structure

The max-stable process is an asymptotically justified model for spatial ...
03/24/2020 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning

Robotic automation has the potential to assist human surgeons in perform...
02/03/2020 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Graph structured data has wide applicability in various domains such as ...
01/17/2020 ∙ by Qiang Huang, et al. ∙ 22 ∙ share

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Exploring an Application of Virtual Reality for Early Detection of Dementia

Facing the severe global dementia problem, an exploration was conducted ...
01/15/2020 ∙ by Yiming Zhong, et al. ∙ 0 ∙ share

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PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel

Linux kernel stable versions serve the needs of users who value stabilit...
11/08/2019 ∙ by Thong Hoang, et al. ∙ 0 ∙ share

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H_∞ Model-free Reinforcement Learning with Robust Stability Guarantee

Reinforcement learning is showing great potentials in robotics applicati...
11/07/2019 ∙ by Minghao Han, et al. ∙ 0 ∙ share

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H_inf Model-free Reinforcement Learning with Robust Stability Guarantee

Reinforcement learning is showing great potentials in robotics applicati...
11/07/2019 ∙ by Minghao Han, et al. ∙ 0 ∙ share

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Convex Reconstruction of Structured Matrix Signals from Linear Measurements (I): Theoretical Results

We investigate the problem of reconstructing n-by-n structured matrix si...
10/19/2019 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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Convex Reconstruction of Structured Matrix Signals from Random Linear Measurements (I): Theoretical Results

We investigate the problem of reconstructing n-by-n column-wise sparse m...
10/19/2019 ∙ by Yuan Tian, et al. ∙ 0 ∙ share

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A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations

Extracting relational triples from unstructured text is crucial for larg...
09/07/2019 ∙ by Zhepei Wei, et al. ∙ 0 ∙ share

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Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model

Entity extraction and relation extraction are two indispensable building...
08/23/2019 ∙ by Zhepei Wei, et al. ∙ 0 ∙ share

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Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries

In a black-box setting, the adversary only has API access to the target ...
08/19/2019 ∙ by Fnu Suya, et al. ∙ 0 ∙ share

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Adversarial Task-Specific Privacy Preservation under Attribute Attack

With the prevalence of machine learning services, crowdsourced data cont...
06/19/2019 ∙ by Han Zhao, et al. ∙ 0 ∙ share

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Hardware/Software Security Patches for Internet of Trillions of Things

With the rapid development of the Internet of Things, there are many int...
03/12/2019 ∙ by John A. Stankovic, et al. ∙ 0 ∙ share

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PatchNet: A Tool for Deep Patch Classification

This work proposes PatchNet, an automated tool based on hierarchical dee...
02/16/2019 ∙ by Thong Hoang, et al. ∙ 0 ∙ share

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Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase

We present a practical method for protecting data during the inference p...
12/07/2018 ∙ by Jianfeng Chi, et al. ∙ 0 ∙ share

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Understanding and Mitigating the Security Risks of Voice-Controlled Third-Party Skills on Amazon Alexa and Google Home

Virtual personal assistants (VPA) (e.g., Amazon Alexa and Google Assista...
05/03/2018 ∙ by Nan Zhang, et al. ∙ 0 ∙ share

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Low Complexity Hybrid Precoding and Diversity Combining Based on Spatial Lobes Division for Millimeter Wave MIMO Systems

In this paper, we focus on the design of low complexity hybrid analog/di...
03/01/2018 ∙ by Yun Chen, et al. ∙ 0 ∙ share

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Query-limited Black-box Attacks to Classifiers

We study black-box attacks on machine learning classifiers where each qu...
12/23/2017 ∙ by Fnu Suya, et al. ∙ 0 ∙ share

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WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking

Application programming interfaces (APIs) offer a plethora of functional...
05/01/2017 ∙ by Ferdian Thung, et al. ∙ 0 ∙ share

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Background Subtraction via Generalized Fused Lasso Foreground Modeling

Background Subtraction (BS) is one of the key steps in video analysis. M...
04/14/2015 ∙ by Bo Xin, et al. ∙ 0 ∙ share

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Yuan Tian

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