b'Yuhao Zhang'

research

∙ 05/30/2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge

The open-ended Visual Question Answering (VQA) task requires AI models t...

0 XingYu Fu, et al. ∙

research

∙ 04/04/2023

Algorithms for the Generalized Poset Sorting Problem

We consider a generalized poset sorting problem (GPS), in which we are g...

0 Shaofeng H. -C. Jiang, et al. ∙

research

∙ 03/22/2023

A multi-functional simulation platform for on-demand ride service operations

On-demand ride services or ride-sourcing services have been experiencing...

0 Siyuan Feng, et al. ∙

research

∙ 02/20/2023

Fair k-Center: a Coreset Approach in Low Dimensions

Center-based clustering techniques are fundamental in some areas of mach...

0 Jinxiang Gan, et al. ∙

research

∙ 02/13/2023

Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects

With the widespread deployment of deep neural networks (DNNs), ensuring ...

13 Linyi Li, et al. ∙

research

∙ 01/27/2023

PECAN: A Deterministic Certified Defense Against Backdoor Attacks

Neural networks are vulnerable to backdoor poisoning attacks, where the ...

0 Yuhao Zhang, et al. ∙

research

∙ 12/19/2022

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks

Generative models have been widely applied to solve extractive tasks, wh...

0 Kaiser Sun, et al. ∙

research

∙ 12/17/2022

Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations

There has been great progress in unifying various table-to-text tasks us...

0 Jifan Chen, et al. ∙

research

∙ 10/19/2022

On the Perturbation Function of Ranking and Balance for Weighted Online Bipartite Matching

Ranking and Balance are arguably the two most important algorithms in th...

0 Jingxun Liang, et al. ∙

research

∙ 07/25/2022

Overwatch: Learning Patterns in Code Edit Sequences

Integrated Development Environments (IDEs) provide tool support to autom...

0 Yuhao Zhang, et al. ∙

research

∙ 07/18/2022

Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning

We introduce the initial release of our software Robustar, which aims to...

0 Chonghan Chen, et al. ∙

research

∙ 07/11/2022

An Ultra-low Power TinyML System for Real-time Visual Processing at Edge

Tiny machine learning (TinyML), executing AI workloads on resource and p...

13 Kunran Xu, et al. ∙

research

∙ 05/26/2022

BagFlip: A Certified Defense against Data Poisoning

Machine learning models are vulnerable to data-poisoning attacks, in whi...

0 Yuhao Zhang, et al. ∙

research

∙ 04/28/2022

Survivable Network Design Revisited: Group-Connectivity

In the classical survivable network design problem (SNDP), we are given ...

0 Qingyun Chen, et al. ∙

research

∙ 02/26/2022

Almost Tight Approximation Hardness for Single-Source Directed k-Edge-Connectivity

In the k-connected directed Steiner tree problem (k-DST), we are given a...

0 Chao Liao, et al. ∙

research

∙ 02/07/2022

Improved Bounds for Fractional Online Matching Problems

Online bipartite matching with one-sided arrival and its variants have b...

0 Zhihao Gavin Tang, et al. ∙

research

∙ 10/29/2021

Online Food Delivery to Minimize Maximum Flow Time

We study a common delivery problem encountered in nowadays online food-o...

0 Xiangyu Guo, et al. ∙

research

∙ 10/04/2021

Planning 5G Networks for Rural Fixed Wireless Access

We study the planning of a rural 5G multi-user massive MIMO fixed wirele...

0 Andrew Lappalainen, et al. ∙

research

∙ 06/28/2021

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Extracting structured clinical information from free-text radiology repo...

17 Saahil Jain, et al. ∙

research

∙ 05/12/2021

Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

Encoder pre-training is promising in end-to-end Speech Translation (ST),...

0 Bojie Hu, et al. ∙

research

∙ 04/06/2021

Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model

In the clinical diagnosis and treatment of brain tumors, manual image re...

0 Yuhao Zhang, et al. ∙

research

∙ 02/15/2021

Certified Robustness to Programmable Transformations in LSTMs

Deep neural networks for natural language processing are fragile in the ...

0 Yuhao Zhang, et al. ∙

research

∙ 10/20/2020

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Neural image-to-text radiology report generation systems offer the poten...

0 Yasuhide Miura, et al. ∙

research

∙ 10/02/2020

Contrastive Learning of Medical Visual Representations from Paired Images and Text

Learning visual representations of medical images is core to medical ima...

39 Yuhao Zhang, et al. ∙

research

∙ 09/09/2020

Adwords in a Panorama

Three decades ago, Karp, Vazirani, and Vazirani (STOC 1990) defined the ...

0 Zhiyi Huang, et al. ∙

research

∙ 08/20/2020

Do Syntax Trees Help Pre-trained Transformers Extract Information?

Much recent work suggests that incorporating syntax information from dep...

0 Devendra Singh Sachan, et al. ∙

research

∙ 07/29/2020

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library

We introduce biomedical and clinical English model packages for the Stan...

0 Yuhao Zhang, et al. ∙

research

∙ 05/13/2020

Fully Online Matching II: Beating Ranking and Water-filling

Karp, Vazirani, and Vazirani (STOC 1990) initiated the study of online b...

0 Zhiyi Huang, et al. ∙

research

∙ 05/06/2020

Learning Architectures from an Extended Search Space for Language Modeling

Neural architecture search (NAS) has advanced significantly in recent ye...

0 Yinqiao Li, et al. ∙

research

∙ 04/30/2020

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations

We investigate the problem of generating informative questions in inform...

0 Peng Qi, et al. ∙

research

∙ 03/16/2020

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

We introduce Stanza, an open-source Python natural language processing t...

0 Peng Qi, et al. ∙

research

∙ 02/22/2020

Robustness to Programmable String Transformations via Augmented Abstract Training

Deep neural networks for natural language processing tasks are vulnerabl...

0 Yuhao Zhang, et al. ∙

research

∙ 02/14/2020

A Simple 1-1/e Approximation for Oblivious Bipartite Matching

We study the oblivious matching problem, which aims at finding a maximum...

0 Zhihao Gavin Tang, et al. ∙

research

∙ 11/20/2019

Polylogarithmic Approximation Algorithm for k-Connected Directed Steiner Tree on Quasi-Bipartite Graphs

In the k-Connected Directed Steiner Tree problem (k-DST), we are given a...

0 Chun-Hsiang Chan, et al. ∙

research

∙ 11/06/2019

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Neural abstractive summarization models are able to generate summaries w...

0 Yuhao Zhang, et al. ∙

research

∙ 07/11/2019

Perturbed Greedy on Oblivious Matching Problems

We study the maximum matching problem in the oblivious setting, i.e. the...

0 Zhihao Gavin Tang, et al. ∙

research

∙ 01/29/2019

Universal Dependency Parsing from Scratch

This paper describes Stanford's system at the CoNLL 2018 UD Shared Task....

0 Peng Qi, et al. ∙

research

∙ 10/18/2018

Tight Competitive Ratios of Classic Matching Algorithms in the Fully Online Model

Huang et al. (STOC 2018) introduced the fully online matching problem, a...

0 Zhiyi Huang, et al. ∙

research

∙ 09/26/2018

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

Dependency trees help relation extraction models capture long-range rela...

0 Yuhao Zhang, et al. ∙

research

∙ 09/12/2018

Learning to Summarize Radiology Findings

The Impression section of a radiology report summarizes crucial radiolog...

0 Yuhao Zhang, et al. ∙

research

∙ 08/31/2018

MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks

Despite being popularly used in many application domains such as image r...

0 Siwakorn Srisakaokul, et al. ∙

research

∙ 06/06/2018

Online Makespan Minimization: The Power of Restart

We consider the online makespan minimization problem on identical machin...

0 Zhiyi Huang, et al. ∙

research

∙ 05/21/2018

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

Despite substantial interest in applications of neural networks to infor...

0 Jinfeng Rao, et al. ∙

research

∙ 04/20/2018

Online Vertex-Weighted Bipartite Matching: Beating 1-1/e with Random Arrivals

We introduce a weighted version of the ranking algorithm by Karp et al. ...

0 Zhiyi Huang, et al. ∙

research

∙ 03/29/2018

Energy-Efficient Transmission of Hybrid Array with Non-Ideal Power Amplifiers and Circuitry

This paper presents a new approach to efficiently maximizing the energy ...

0 Yuhao Zhang, et al. ∙

research

∙ 02/12/2018

How to Match when All Vertices Arrive Online

We introduce a fully online model of maximum cardinality matching in whi...

0 Zhiyi Huang, et al. ∙

research

∙ 01/30/2018

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

Motivation: Biomedical named entity recognition (BioNER) is the most fun...

0 Xuan Wang, et al. ∙

research

∙ 01/05/2018

Energy-efficient resource allocation for hybrid bursty services in multi-relay OFDM networks

In this paper, we propose Mapped Two-way Water Filling (MTWF) scheme to ...

0 Yuhao Zhang, et al. ∙

research

∙ 01/05/2018

Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

In this paper, we maximize the energy efficiency (EE) of full-duplex (FD...

0 Qimei Cui, et al. ∙

research

∙ 01/05/2018

Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion

The split control and user plane is key to the future heterogeneous cell...

0 Yuhao Zhang, et al. ∙

Yuhao Zhang

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