Xuan Zhang

Attacking Vision-based Perception in End-to-End Autonomous Driving Models

Recent advances in machine learning, especially techniques such as deep ...
10/02/2019 ∙ by Adith Boloor, et al. ∙ 35 ∙ share

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Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

Recent advances in machine learning, especially techniques such as deep ...
03/12/2019 ∙ by Adith Boloor, et al. ∙ 14 ∙ share

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AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

In this paper, we propose a novel method called AlignedReID that extract...
11/22/2017 ∙ by Xuan Zhang, et al. ∙ 0 ∙ share

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Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project

Although many methods perform well in single camera tracking, multi-came...
12/27/2017 ∙ by Zhimeng Zhang, et al. ∙ 0 ∙ share

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AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference

The intrinsic error tolerance of neural network (NN) makes approximate c...
05/21/2018 ∙ by Xin He, et al. ∙ 0 ∙ share

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Robust Distributed Compression of Symmetrically Correlated Gaussian Sources

Consider a lossy compression system with ℓ distributed encoders and a ce...
07/18/2018 ∙ by Yizhong Wang, et al. ∙ 0 ∙ share

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SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification

Holistic person re-identification (ReID) has received extensive study in...
10/16/2018 ∙ by Xing Fan, et al. ∙ 0 ∙ share

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Legal Assignments and fast EADAM with consent via classical theory of stable matchings

Gale and Shapley's college admission problem and concept of stability (G...
09/23/2018 ∙ by Yuri Faenza, et al. ∙ 0 ∙ share

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An Empirical Exploration of Curriculum Learning for Neural Machine Translation

Machine translation systems based on deep neural networks are expensive ...
11/02/2018 ∙ by Xuan Zhang, et al. ∙ 0 ∙ share

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A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

In this paper, we apply a new promising tool for pattern classification,...
05/10/2019 ∙ by K. Darshana Abeyrathna, et al. ∙ 0 ∙ share

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Curriculum Learning for Domain Adaptation in Neural Machine Translation

We introduce a curriculum learning approach to adapt generic neural mach...
05/14/2019 ∙ by Xuan Zhang, et al. ∙ 0 ∙ share

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The Architectural Implications of Facebook's DNN-based Personalized Recommendation

The widespread application of deep learning has changed the landscape of...
06/06/2019 ∙ by Udit Gupta, et al. ∙ 0 ∙ share

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Quaternion Product Units for Deep Learning on 3D Rotation Groups

We propose a novel quaternion product unit (QPU) to represent data on 3D...
12/17/2019 ∙ by Xuan Zhang, et al. ∙ 0 ∙ share

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OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera

Due to a lack of medical resources or oral health awareness, oral diseas...
01/16/2020 ∙ by Yuan Liang, et al. ∙ 0 ∙ share

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Evaluating Ordering Strategies of Star Glyph Axes

Star glyphs are a well-researched visualization technique to represent m...
08/01/2019 ∙ by Matthias Miller, et al. ∙ 0 ∙ share

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OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera

Due to a lack of medical resources or oral health awareness, oral diseas...
01/16/2020 ∙ by Yuan Liang, et al. ∙ 0 ∙ share

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Machine Translation System Selection from Bandit Feedback

Adapting machine translation systems in the real world is a difficult pr...
02/22/2020 ∙ by Jason Naradowsky, et al. ∙ 0 ∙ share

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RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Personalized recommendation systems leverage deep learning models and ac...
12/30/2019 ∙ by Liu Ke, et al. ∙ 0 ∙ share

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Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices

Recent works propose neural network- (NN-) inspired analog-to-digital co...
11/28/2019 ∙ by Weidong Cao, et al. ∙ 0 ∙ share

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Impact of Bias on School Admissions and Targeted Interventions

There is an inherent problem in the way students are evaluated - be it s...
04/22/2020 ∙ by Yuri Faenza, et al. ∙ 0 ∙ share

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Xuan Zhang

Featured Co-authors

Jian Sun

Chi Zhang

Yevgeniy Vorobeychik

Xiaodong Wang

Wei Jiang

Kevin Duh

Jun Chen

Kun Wang

Yi Xu

Hongteng Xu

Meng Li

Attacking Vision-based Perception in End-to-End Autonomous Driving Models

Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project

AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference

Robust Distributed Compression of Symmetrically Correlated Gaussian Sources

SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification

Legal Assignments and fast EADAM with consent via classical theory of stable matchings

An Empirical Exploration of Curriculum Learning for Neural Machine Translation

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

Curriculum Learning for Domain Adaptation in Neural Machine Translation

The Architectural Implications of Facebook's DNN-based Personalized Recommendation

Quaternion Product Units for Deep Learning on 3D Rotation Groups

OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera

Evaluating Ordering Strategies of Star Glyph Axes

OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera

Machine Translation System Selection from Bandit Feedback

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices

Impact of Bias on School Admissions and Targeted Interventions