b'Yuan Tian'

research

∙ 08/07/2022

Weakly Supervised Online Action Detection for Infant General Movements

To make the earlier medical intervention of infants' cerebral palsy (CP)...

Tongyi Luo, et al. ∙

research

∙ 05/23/2022

Conditional Supervised Contrastive Learning for Fair Text Classification

Contrastive representation learning has gained much attention due to its...

Jianfeng Chi, et al. ∙

research

∙ 05/05/2022

CNN-Augmented Visual-Inertial SLAM with Planar Constraints

We present a robust visual-inertial SLAM system that combines the benefi...

Pan Ji, et al. ∙

research

∙ 05/05/2022

FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras

In this paper, we deal with the problem of monocular depth estimation fo...

Qingan Yan, et al. ∙

research

∙ 04/19/2022

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies

Prior studies in privacy policies frame the question answering (QA) task...

Md Rizwan Parvez, et al. ∙

research

∙ 03/30/2022

A First Look at Duplicate and Near-duplicate Self-admitted Technical Debt Comments

Self-admitted technical debt (SATD) refers to technical debt that is int...

Jerin Yasmin, et al. ∙

research

∙ 02/06/2022

Perceptual Coding for Compressed Video Understanding: A New Framework and Benchmark

Most video understanding methods are learned on high-quality videos. How...

Yuan Tian, et al. ∙

research

∙ 01/20/2022

A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning

Prescribing optimal operation based on the condition of the system and, ...

Yuan Tian, et al. ∙

research

∙ 11/19/2021

Towards Return Parity in Markov Decision Processes

Algorithmic decisions made by machine learning models in high-stakes dom...

Jianfeng Chi, et al. ∙

research

∙ 11/08/2021

Automated Detection of GDPR Disclosure Requirements in Privacy Policies using Deep Active Learning

Since GDPR came into force in May 2018, companies have worked on their d...

Tamjid Al Rahat, et al. ∙

research

∙ 09/02/2021

AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification

The explosive increase of multimodal data makes a great demand in many c...

Nan Xu, et al. ∙

research

∙ 07/24/2021

Self-Conditioned Probabilistic Learning of Video Rescaling

Bicubic downscaling is a prevalent technique used to reduce the video st...

Yuan Tian, et al. ∙

research

∙ 07/22/2021

EAN: Event Adaptive Network for Enhanced Action Recognition

Efficiently modeling spatial-temporal information in videos is crucial f...

Yuan Tian, et al. ∙

research

∙ 06/02/2021

What and How long: Prediction of Mobile App Engagement

User engagement is crucial to the long-term success of a mobile app. Sev...

Yuan Tian, et al. ∙

research

∙ 05/17/2021

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...

Andrey Ignatov, et al. ∙

research

∙ 04/22/2021

CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

We introduce CryptGPU, a system for privacy-preserving machine learning ...

Sijun Tan, et al. ∙

research

∙ 04/17/2021

Towards Fortifying the Multi-Factor-Based Online Account Ecosystem

With the rapid growth of online services, the number of online accounts ...

Weizhao Jin, et al. ∙

research

∙ 02/24/2021

Understanding and Mitigating Accuracy Disparity in Regression

With the widespread deployment of large-scale prediction systems in high...

Jianfeng Chi, et al. ∙

research

∙ 02/22/2021

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...

Tingyu Xia, et al. ∙

research

∙ 02/10/2021

Meta Federated Learning

Due to its distributed methodology alongside its privacy-preserving feat...

Omid Aramoon, et al. ∙

research

∙ 02/06/2021

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

Robots assist in many areas that are considered unsafe for humans to ope...

Yuan Tian, et al. ∙

research

∙ 02/05/2021

SkillBot: Identifying Risky Content for Children in Alexa Skills

Many households include children who use voice personal assistants (VPA)...

Tu Le, et al. ∙

research

∙ 02/01/2021

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...

Syed Zawad, et al. ∙

research

∙ 01/01/2021

Intent Classification and Slot Filling for Privacy Policies

Understanding privacy policies is crucial for users as it empowers them ...

Wasi Uddin Ahmad, et al. ∙

research

∙ 12/07/2020

Battery Model Calibration with Deep Reinforcement Learning

Lithium-Ion (Li-I) batteries have recently become pervasive and are used...

Ajaykumar Unagar, et al. ∙

research

∙ 11/13/2020

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

Reinforcement learning (RL) is promising for complicated stochastic nonl...

Minghao Han, et al. ∙

research

∙ 10/06/2020

PolicyQA: A Reading Comprehension Dataset for Privacy Policies

Privacy policy documents are long and verbose. A question answering (QA)...

Wasi Uddin Ahmad, et al. ∙

research

∙ 09/20/2020

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...

Tinghuai Ma, et al. ∙

research

∙ 08/28/2020

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

REpresentational State Transfer (REST) is considered as one standard sof...

Jerin Yasmin, et al. ∙

research

∙ 07/22/2020

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

Previous video modeling methods leverage the cubic 3D convolution filter...

Yuan Tian, et al. ∙

research

∙ 07/17/2020

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

In this paper, we introduce a new reinforcement learning (RL) based neur...

Yuan Tian, et al. ∙

research

∙ 06/30/2020

Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds

Machine learning systems that rely on training data collected from untru...

Fnu Suya, et al. ∙

research

∙ 06/07/2020

Real-Time Model Calibration with Deep Reinforcement Learning

The dynamic, real-time, and accurate inference of model parameters from ...

Manuel Arias Chao, et al. ∙

research

∙ 03/24/2020

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

The max-stable process is an asymptotically justified model for spatial ...

Yuan Tian, et al. ∙

research

∙ 02/03/2020

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

Robotic automation has the potential to assist human surgeons in perform...

Yuan Tian, et al. ∙

research

∙ 01/17/2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Graph structured data has wide applicability in various domains such as ...

Qiang Huang, et al. ∙

research

∙ 01/15/2020

Exploring an Application of Virtual Reality for Early Detection of Dementia

Facing the severe global dementia problem, an exploration was conducted ...

Yiming Zhong, et al. ∙

research

∙ 11/08/2019

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

Linux kernel stable versions serve the needs of users who value stabilit...

Thong Hoang, et al. ∙

research

∙ 11/07/2019

H_∞ Model-free Reinforcement Learning with Robust Stability Guarantee

Reinforcement learning is showing great potentials in robotics applicati...

Minghao Han, et al. ∙

research

∙ 11/07/2019

H_inf Model-free Reinforcement Learning with Robust Stability Guarantee

Reinforcement learning is showing great potentials in robotics applicati...

Minghao Han, et al. ∙

research

∙ 10/19/2019

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

We investigate the problem of reconstructing n-by-n structured matrix si...

Yuan Tian, et al. ∙

research

∙ 10/19/2019

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...

Yuan Tian, et al. ∙

research

∙ 09/07/2019

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

Extracting relational triples from unstructured text is crucial for larg...

Zhepei Wei, et al. ∙

research

∙ 08/23/2019

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

Entity extraction and relation extraction are two indispensable building...

Zhepei Wei, et al. ∙

research

∙ 08/19/2019

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 ...

Fnu Suya, et al. ∙

research

∙ 06/19/2019

Adversarial Task-Specific Privacy Preservation under Attribute Attack

With the prevalence of machine learning services, crowdsourced data cont...

Han Zhao, et al. ∙

research

∙ 03/12/2019

Hardware/Software Security Patches for Internet of Trillions of Things

With the rapid development of the Internet of Things, there are many int...

John A. Stankovic, et al. ∙

research

∙ 02/16/2019

PatchNet: A Tool for Deep Patch Classification

This work proposes PatchNet, an automated tool based on hierarchical dee...

Thong Hoang, et al. ∙

research

∙ 12/07/2018

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

We present a practical method for protecting data during the inference p...

Jianfeng Chi, et al. ∙

research

∙ 05/03/2018

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...

Nan Zhang, et al. ∙

Yuan Tian

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