Search Results for author: Xuan Zhang

Found 54 papers, 18 papers with code

The JHU/KyotoU Speech Translation System for IWSLT 2018

no code implementations IWSLT (EMNLP) 2018 Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala, Shinji Watanabe, Kevin Duh

This paper describes the Johns Hopkins University (JHU) and Kyoto University submissions to the Speech Translation evaluation campaign at IWSLT2018.

Transfer Learning Translation

Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task

no code implementations MTSummit 2021 Xuan Zhang, Kevin Duh

A cascaded Sign Language Translation system first maps sign videos to gloss annotations and then translates glosses into a spoken languages.

Machine Translation Sign Language Translation +1

Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems

no code implementations15 Jun 2022 Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji

Based on the proposed lattice convolutions, we design lattice convolutional networks (LCN) that use self-gating and attention mechanisms.

Data-Driven Robust Control for Discrete Linear Time-Invariant Systems: A Descriptor System Approach

no code implementations14 Mar 2022 Jiabao He, Xuan Zhang, Feng Xu, Junbo Tan, Xueqian Wang

Given the recent surge of interest in data-driven control, this paper proposes a two-step method to study robust data-driven control for a parameter-unknown linear time-invariant (LTI) system that is affected by energy-bounded noises.

Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals

no code implementations30 Jan 2022 Weidong Cao, Yilong Zhao, Adith Boloor, Yinhe Han, Xuan Zhang, Li Jiang

This paper presents a new PIM architecture to efficiently accelerate deep learning tasks by minimizing the required A/D conversions with analog accumulation and neural approximated peripheral circuits.

Quantization

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

no code implementations8 Jan 2022 Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun

In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transformer stations and external organizations.

Fairness Federated Learning +1

Data-Driven Controllability Analysis and Stabilization for Linear Descriptor Systems

no code implementations7 Dec 2021 Jiabao He, Xuan Zhang, Feng Xu, Junbo Tan, Xueqian Wang

For a parameter-unknown linear descriptor system, this paper proposes data-driven methods to testify the system's type and controllability and then to stabilize it.

Fairness-aware Online Price Discrimination with Nonparametric Demand Models

no code implementations16 Nov 2021 Xi Chen, Xuan Zhang, Yuan Zhou

To handle this general class, we propose a soft fairness constraint and develop the dynamic pricing policy that achieves $\tilde{O}(T^{4/5})$ regret.

Fairness online learning

A Sequence to Sequence Model for Extracting Multiple Product Name Entities from Dialog

no code implementations28 Oct 2021 Praneeth Gubbala, Xuan Zhang

E-commerce voice ordering systems need to recognize multiple product name entities from ordering utterances.

Spherical Message Passing for 3D Molecular Graphs

no code implementations ICLR 2022 Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji

Based on such observations, we propose the spherical message passing (SMP) as a novel and powerful scheme for 3D molecular learning.

Representation Learning

On the Convergence of Tsetlin Machines for the AND and the OR Operators

2 code implementations17 Sep 2021 Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo

The analyses on AND and OR operators, together with the previously analysed 1-bit and XOR operations, complete the convergence analyses on basic operators in Boolean algebra.

LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation

2 code implementations19 Jul 2021 Guoping Xu, Xingrong Wu, Xuan Zhang, Xinwei He

Medical image segmentation plays an essential role in developing computer-assisted diagnosis and therapy systems, yet still faces many challenges.

Medical Image Segmentation Semantic Segmentation

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks

1 code implementation NeurIPS Workshop AI4Scien 2021 Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

We employ our methods to participate in the 2021 KDD Cup on OGB Large-Scale Challenge (OGB-LSC), which aims to predict the HOMO-LUMO energy gap of molecules.

Molecular Property Prediction

An Integration and Operation Framework of Geothermal Heat Pumps in Distribution Networks

no code implementations12 Jun 2021 Lei Liang, Xuan Zhang, Hongbin Sun

Besides, in the Virtual Power Plant (VPP) system, the demand response of clustered GHP systems can improve the operating flexibility of the power grid.

A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning

no code implementations22 Mar 2021 Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun

For example, power consumption data are stored in numerous transformer stations across cities; mobility data of the population, which are important indicators of power consumption, are held by mobile companies.

Federated Learning Privacy Preserving

Spherical Message Passing for 3D Graph Networks

1 code implementation9 Feb 2021 Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji

Thus, our SMP represents a complete and accurate architecture for learning from 3D graphs in the SCS.

Representation Learning

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

no code implementations25 Jan 2021 An Zou, Jing Li, Christopher D. Gill, Xuan Zhang

In this paper, we propose RTGPU, which can schedule the execution of multiple GPU applications in real-time to meet hard deadlines.

Autonomous Vehicles

Disentangled Recurrent Wasserstein Autoencoder

no code implementations ICLR 2021 Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang

Learning disentangled representations leads to interpretable models and facilitates data generation with style transfer, which has been extensively studied on static data such as images in an unsupervised learning framework.

Disentanglement Style Transfer +1

On the Convergence of Tsetlin Machines for the XOR Operator

6 code implementations7 Jan 2021 Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, K. Darshana Abeyrathna

The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct properties, including transparent inference and learning using hardware-near building blocks.

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

1 code implementation17 Oct 2020 Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik

We propose a scalable approach for finding adversarial modifications of a simulated autonomous driving environment using a differentiable approximation for the mapping from environmental modifications (rectangles on the road) to the corresponding video inputs to the controller neural network.

Autonomous Driving Self-Driving Cars

Boundary zonal flows in rapidly rotating turbulent thermal convection

no code implementations7 Sep 2020 Xuan Zhang, Robert E. Ecke, Olga Shishkina

The mode number of the BZF is 1 for $\Gamma \lesssim 1$ and $2 \Gamma$ for $\Gamma$ = {1, 2} independent of $Ra$ and $Pr$.

Fluid Dynamics

Generation of zonal flows in convective systems by travelling thermal waves

no code implementations3 Sep 2020 Philipp Reiter, Xuan Zhang, Rodion Stepanov, Olga Shishkina

Our results confirm that the travelling thermal waves can cause zonal flows, i. e. strong mean horizontal flows.

Fluid Dynamics

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

no code implementations28 Jul 2020 Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin

The analysis of the convergence of the two basic operators lays the foundation for analyzing other logical operators.

Operator learning

Reducing the Feeder Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions

no code implementations22 Apr 2020 Yuri Faenza, Swati Gupta, Xuan Zhang

These scores are known to be impacted by socioeconomic status of students and test preparation received in "feeder" middle schools, leading to a massive filtering effect in the education pipeline.

Quaternion Product Units for Deep Learning on 3D Rotation Groups

1 code implementation CVPR 2020 Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu

We propose a novel quaternion product unit (QPU) to represent data on 3D rotation groups.

Balancing Efficiency and Fairness in On-Demand Ridesourcing

1 code implementation NeurIPS 2019 Nixie S. Lesmana, Xuan Zhang, Xiaohui Bei

We investigate the problem of assigning trip requests to available vehicles in on-demand ridesourcing.

Fairness

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

no code implementations28 Nov 2019 Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang

Recent works propose neural network- (NN-) inspired analog-to-digital converters (NNADCs) and demonstrate their great potentials in many emerging applications.

Quantization Robust Design +1

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

4 code implementations10 May 2019 K. Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin

In this paper, we apply a new promising tool for pattern classification, namely, the Tsetlin Machine (TM), to the field of disease forecasting.

Disease Prediction

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

no code implementations12 Mar 2019 Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang

Recent advances in machine learning, especially techniques such as deep neural networks, are promoting a range of high-stakes applications, including autonomous driving, which often relies on deep learning for perception.

Autonomous Driving

A Hybrid Model for Role-related User Classification on Twitter

1 code implementation26 Nov 2018 Liuqing Li, Ziqian Song, Xuan Zhang, Edward A. Fox

To aid a variety of research studies, we propose TWIROLE, a hybrid model for role-related user classification on Twitter, which detects male-related, female-related, and brand-related (i. e., organization or institution) users.

Social and Information Networks

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

no code implementations16 Oct 2018 Xing Fan, Hao Luo, Xuan Zhang, Lingxiao He, Chi Zhang, Wei Jiang

Holistic person re-identification (ReID) has received extensive study in the past few years and achieves impressive progress.

Person Re-Identification

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

3 code implementations23 Sep 2018 Yuri Faenza, Xuan Zhang

We prove that ${\cal L}$ is exactly the set of stable assignments in another instance, and that essentially any optimization problem over ${\cal L}$ can be solved within the same time bound needed for solving them over the set of stable assignments.

Data Structures and Algorithms

AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference

no code implementations21 May 2018 Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang

The intrinsic error tolerance of neural network (NN) makes approximate computing a promising technique to improve the energy efficiency of NN inference.

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

no code implementations27 Dec 2017 Zhimeng Zhang, Jia-Nan Wu, Xuan Zhang, Chi Zhang

Although many methods perform well in single camera tracking, multi-camera tracking remains a challenging problem with less attention.

Person Re-Identification

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

6 code implementations22 Nov 2017 Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun

In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features.

Person Re-Identification

On the law of the iterated logarithm for continued fractions with sequentially restricted partial quotients

no code implementations30 Jul 2017 Manuel Stadlbauer, Xuan Zhang

We establish a law of the iterated logarithm (LIL) for the set of real numbers whose $n$-th partial quotient is bigger than $\alpha_n$, where $(\alpha_n)$ is a sequence such that $\sum 1/\alpha_n$ is finite.

Dynamical Systems 11K50, 60F17, 37F35

Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings

no code implementations EACL 2017 Deyu Zhou, Xuan Zhang, Yulan He

To extract structured representations of newsworthy events from Twitter, unsupervised models typically assume that tweets involving the same named entities and expressed using similar words are likely to belong to the same event.

Event Extraction Word Embeddings

The Lindeberg theorem for Gibbs-Markov dynamics

no code implementations27 Mar 2016 Manfred Denker, Samuel Senti, Xuan Zhang

A dynamical array consists of a family of functions $\{f_{n, i}: 1\le i\le k(n), n\ge 1\}$ and a family of initial times $\{\tau_{n, i}: 1\le i\le k(n), n\ge 1\}$.

Dynamical Systems 37A50, 60F05

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