b'Yuchen Zhang'

research

∙ 08/29/2023

Robust Transceiver Design for Covert Integrated Sensing and Communications With Imperfect CSI

We propose a robust transceiver design for a covert integrated sensing a...

0 Yuchen Zhang, et al. ∙

research

∙ 07/18/2023

Llama 2: Open Foundation and Fine-Tuned Chat Models

In this work, we develop and release Llama 2, a collection of pretrained...

0 Hugo Touvron, et al. ∙

research

∙ 07/05/2023

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?

Recent advancements in Large Language Models (LLMs) such as GPT4 have di...

0 Yan Zeng, et al. ∙

research

∙ 05/28/2023

Rethinking Masked Language Modeling for Chinese Spelling Correction

In this paper, we study Chinese Spelling Correction (CSC) as a joint dec...

0 Hongqiu Wu, et al. ∙

research

∙ 04/27/2023

Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net

Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate...

0 Yuchen Zhang, et al. ∙

research

∙ 04/19/2023

A Theory on Adam Instability in Large-Scale Machine Learning

We present a theory for the previously unexplained divergent behavior no...

0 Igor Molybog, et al. ∙

research

∙ 03/16/2023

Visual Information Matters for ASR Error Correction

Aiming to improve the Automatic Speech Recognition (ASR) outputs with a ...

0 Vanya Bannihatti Kumar, et al. ∙

research

∙ 12/21/2022

Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks

Users' involvement in creating and propagating news is a vital aspect of...

0 Xing Su, et al. ∙

research

∙ 12/16/2022

LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension

The application of Natural Language Processing (NLP) to specialized doma...

0 Wenyue Hua, et al. ∙

research

∙ 11/10/2022

Decomposing the Fundamentals of Creepy Stories

Fear is a universal concept; people crave it in urban legends, scary mov...

0 Sakshi Goel, et al. ∙

research

∙ 10/13/2022

Transfer Deep Reinforcement Learning-based Large-scale V2G Continuous Charging Coordination with Renewable Energy Sources

Due to the increasing popularity of electric vehicles (EVs) and the tech...

0 Yubao Zhang, et al. ∙

research

∙ 03/14/2022

Building Embedded Systems Like It's 1996

Embedded devices are ubiquitous. However, preliminary evidence shows tha...

0 Ruotong Yu, et al. ∙

research

∙ 12/03/2021

The Influence of Data Pre-processing and Post-processing on Long Document Summarization

Long document summarization is an important and hard task in the field o...

0 Xinwei Du, et al. ∙

research

∙ 10/06/2021

Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study

Dimensionality Reduction (DR) techniques can generate 2D projections and...

0 Jiazhi Xia, et al. ∙

research

∙ 09/24/2020

Task-Oriented Dialogue as Dataflow Synthesis

We describe an approach to task-oriented dialogue in which dialogue stat...

0 Jacob Andreas, et al. ∙

research

∙ 08/14/2020

On Localized Discrepancy for Domain Adaptation

We propose the discrepancy-based generalization theories for unsupervise...

0 Yuchen Zhang, et al. ∙

research

∙ 07/27/2019

HPC AI500: A Benchmark Suite for HPC AI Systems

In recent years, with the trend of applying deep learning (DL) in high p...

0 ZiHan Jiang, et al. ∙

research

∙ 04/11/2019

Bridging Theory and Algorithm for Domain Adaptation

This paper addresses the problem of unsupervised domain adaption from th...

10 Yuchen Zhang, et al. ∙

research

∙ 03/25/2019

Defending against Whitebox Adversarial Attacks via Randomized Discretization

Adversarial perturbations dramatically decrease the accuracy of state-of...

0 Yuchen Zhang, et al. ∙

research

∙ 09/02/2018

Neural Ranking Models for Temporal Dependency Structure Parsing

We design and build the first neural temporal dependency parser. It util...

0 Yuchen Zhang, et al. ∙

research

∙ 08/23/2018

Structured Interpretation of Temporal Relations

Temporal relations between events and time expressions in a document are...

0 Yuchen Zhang, et al. ∙

research

∙ 07/25/2017

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

To learn a semantic parser from denotations, a learning algorithm must s...

0 Yuchen Zhang, et al. ∙

research

∙ 02/18/2017

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics

We study the Stochastic Gradient Langevin Dynamics (SGLD) algorithm for ...

0 Yuchen Zhang, et al. ∙

research

∙ 09/04/2016

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences

We provide two fundamental results on the population (infinite-sample) l...

0 Chi Jin, et al. ∙

research

∙ 03/11/2015

Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators

For the problem of high-dimensional sparse linear regression, it is know...

0 Yuchen Zhang, et al. ∙

research

∙ 02/05/2015

Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds

We study the following generalized matrix rank estimation problem: given...

0 Yuchen Zhang, et al. ∙

research

∙ 01/01/2015

Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

We consider distributed convex optimization problems originated from sam...

0 Yuchen Zhang, et al. ∙

research

∙ 05/22/2013

Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates

We establish optimal convergence rates for a decomposition-based scalabl...

0 Yuchen Zhang, et al. ∙

research

∙ 09/19/2012

Comunication-Efficient Algorithms for Statistical Optimization

We analyze two communication-efficient algorithms for distributed statis...

0 Yuchen Zhang, et al. ∙

Yuchen Zhang

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