b'Xuan Zhang'

A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning

With the deployment of smart sensors and advancements in communication t...
03/22/2021 ∙ by Haizhou Liu, et al. ∙ 0 ∙ share

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Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence

We study text representation methods using deep models. Current methods,...
03/15/2021 ∙ by Hongyang Gao, et al. ∙ 18 ∙ share

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RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization

Many emerging cyber-physical systems, such as autonomous vehicles and ro...
01/25/2021 ∙ by An Zou, et al. ∙ 0 ∙ share

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Disentangled Recurrent Wasserstein Autoencoder

Learning disentangled representations leads to interpretable models and ...
01/19/2021 ∙ by Jun Han, et al. ∙ 12 ∙ share

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On the Convergence of Tsetlin Machines for the XOR Operator

The Tsetlin Machine (TM) is a novel machine learning algorithm with seve...
01/07/2021 ∙ by Lei Jiao, et al. ∙ 0 ∙ share

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Affinely representable lattices, stable matchings, and choice functions

Birkhoff's representation theorem (Birkhoff, 1937) defines a bijection b...
11/13/2020 ∙ by Yuri Faenza, et al. ∙ 0 ∙ share

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Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

There is considerable evidence that deep neural networks are vulnerable ...
10/17/2020 ∙ by Jinghan Yang, et al. ∙ 0 ∙ share

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On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators

The Tsetlin Machine (TM) is a recent machine learning algorithm with sev...
07/28/2020 ∙ by Xuan Zhang, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Xuan Zhang

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