Xiao Yang

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Penn State University ∙ Tsinghua University

PhD student in the Department of Computer Science

Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis

In this paper, we explore the open-domain sketch-to-photo translation, w...
04/12/2021 ∙ by Xiaoyu Xiang, et al. ∙ 7 ∙ share

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PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information

Point cloud analysis is still a challenging task due to the disorder and...
03/31/2021 ∙ by Linchao He, et al. ∙ 0 ∙ share

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LiBRe: A Practical Bayesian Approach to Adversarial Detection

Despite their appealing flexibility, deep neural networks (DNNs) are vul...
03/27/2021 ∙ by Zhijie Deng, et al. ∙ 0 ∙ share

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Black-box Detection of Backdoor Attacks with Limited Information and Data

Although deep neural networks (DNNs) have made rapid progress in recent ...
03/24/2021 ∙ by Yinpeng Dong, et al. ∙ 0 ∙ share

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Joint Network Topology Inference via Structured Fusion Regularization

Joint network topology inference represents a canonical problem of joint...
03/05/2021 ∙ by Yanli Yuan, et al. ∙ 0 ∙ share

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Incentive Mechanism Design for ROI-constrained Auto-bidding

Auto-bidding plays an important role in online advertising and has becom...
12/04/2020 ∙ by Bin Li, et al. ∙ 0 ∙ share

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Bag of Tricks for Adversarial Training

Adversarial training (AT) is one of the most effective strategies for pr...
10/01/2020 ∙ by Tianyu Pang, et al. ∙ 0 ∙ share

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Qlib: An AI-oriented Quantitative Investment Platform

Quantitative investment aims to maximize the return and minimize the ris...
09/22/2020 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Delving into the Adversarial Robustness on Face Recognition

Face recognition has recently made substantial progress and achieved hig...
07/08/2020 ∙ by Xiao Yang, et al. ∙ 10 ∙ share

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Towards Privacy Protection by Generating Adversarial Identity Masks

As billions of personal data such as photos are shared through social me...
03/15/2020 ∙ by Xiao Yang, et al. ∙ 5 ∙ share

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Boosting Adversarial Training with Hypersphere Embedding

Adversarial training (AT) is one of the most effective defenses to impro...
02/20/2020 ∙ by Tianyu Pang, et al. ∙ 13 ∙ share

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Benchmarking Adversarial Robustness

Deep neural networks are vulnerable to adversarial examples, which becom...
12/26/2019 ∙ by Yinpeng Dong, et al. ∙ 0 ∙ share

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Design and Interpretation of Universal Adversarial Patches in Face Detection

We consider universal adversarial patches for faces - small visual eleme...
11/30/2019 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant

Personal assistant AI systems such as Siri, Cortana, and Alexa have beco...
09/18/2019 ∙ by Deepak Muralidharan, et al. ∙ 0 ∙ share

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AiAds: Automated and Intelligent Advertising System for Sponsored Search

Sponsored search has more than 20 years of history, and it has been prov...
07/28/2019 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade

We study the problem of extracting text instance contour information fro...
09/09/2018 ∙ by Dafang He, et al. ∙ 0 ∙ share

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Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching

Community-based question answering (CQA) websites represent an important...
04/22/2018 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media

Daily engagement in life experiences is increasingly interwoven with mob...
01/04/2018 ∙ by Agnese Chiatti, et al. ∙ 0 ∙ share

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Fast Predictive Simple Geodesic Regression

Deformable image registration and regression are important tasks in medi...
11/15/2017 ∙ by Zhipeng Ding, et al. ∙ 0 ∙ share

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Learning non-parametric Markov networks with mutual information

We propose a method for learning Markov network structures for continuou...
08/08/2017 ∙ by Janne Leppä-aho, et al. ∙ 0 ∙ share

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Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network

The Soil Moisture Active Passive (SMAP) mission has delivered valuable s...
07/20/2017 ∙ by Kuai Fang, et al. ∙ 0 ∙ share

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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

We present an end-to-end, multimodal, fully convolutional network for ex...
06/07/2017 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach

Registration involving one or more images containing pathologies is chal...
03/31/2017 ∙ by Xu Han, et al. ∙ 0 ∙ share

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Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

This paper introduces Quicksilver, a fast deformable image registration ...
03/31/2017 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Fast Predictive Multimodal Image Registration

We introduce a deep encoder-decoder architecture for image deformation p...
03/31/2017 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading

Physical library collections are valuable and long standing resources fo...
11/22/2016 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Fast Predictive Image Registration

We present a method to predict image deformations based on patch-wise im...
07/08/2016 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Using Word Embeddings in Twitter Election Classification

Word embeddings and convolutional neural networks (CNN) have attracted e...
06/22/2016 ∙ by Xiao Yang, et al. ∙ 0 ∙ share

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Xiao Yang

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