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07/04/2023
Falsification of a Vision-based Automatic Landing System
At smaller airports without an instrument approach or advanced equipment...
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06/29/2023
Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs
We consider the Online Rent Minimization problem, where online jobs with...
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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...
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04/04/2023
Algorithms for the Generalized Poset Sorting Problem
We consider a generalized poset sorting problem (GPS), in which we are g...
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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...
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02/20/2023
Fair k-Center: a Coreset Approach in Low Dimensions
Center-based clustering techniques are fundamental in some areas of mach...
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02/13/2023
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
With the widespread deployment of deep neural networks (DNNs), ensuring ...
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01/27/2023
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
Neural networks are vulnerable to backdoor poisoning attacks, where the ...
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12/19/2022
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks
Generative models have been widely applied to solve extractive tasks, wh...
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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...
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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...
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07/25/2022
Overwatch: Learning Patterns in Code Edit Sequences
Integrated Development Environments (IDEs) provide tool support to autom...
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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...
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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...
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05/26/2022
BagFlip: A Certified Defense against Data Poisoning
Machine learning models are vulnerable to data-poisoning attacks, in whi...
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04/28/2022
Survivable Network Design Revisited: Group-Connectivity
In the classical survivable network design problem (SNDP), we are given ...
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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...
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02/07/2022
Improved Bounds for Fractional Online Matching Problems
Online bipartite matching with one-sided arrival and its variants have b...
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10/29/2021
Online Food Delivery to Minimize Maximum Flow Time
We study a common delivery problem encountered in nowadays online food-o...
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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...
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06/28/2021
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Extracting structured clinical information from free-text radiology repo...
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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),...
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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...
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02/15/2021
Certified Robustness to Programmable Transformations in LSTMs
Deep neural networks for natural language processing are fragile in the ...
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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...
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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...
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09/09/2020
Adwords in a Panorama
Three decades ago, Karp, Vazirani, and Vazirani (STOC 1990) defined the ...
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08/20/2020
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Much recent work suggests that incorporating syntax information from dep...
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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...
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05/13/2020
Fully Online Matching II: Beating Ranking and Water-filling
Karp, Vazirani, and Vazirani (STOC 1990) initiated the study of online b...
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05/06/2020
Learning Architectures from an Extended Search Space for Language Modeling
Neural architecture search (NAS) has advanced significantly in recent ye...
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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...
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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...
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02/22/2020
Robustness to Programmable String Transformations via Augmented Abstract Training
Deep neural networks for natural language processing tasks are vulnerabl...
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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...
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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...
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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...
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07/11/2019
Perturbed Greedy on Oblivious Matching Problems
We study the maximum matching problem in the oblivious setting, i.e. the...
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01/29/2019
Universal Dependency Parsing from Scratch
This paper describes Stanford's system at the CoNLL 2018 UD Shared Task....
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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...
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09/26/2018
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Dependency trees help relation extraction models capture long-range rela...
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09/12/2018
Learning to Summarize Radiology Findings
The Impression section of a radiology report summarizes crucial radiolog...
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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...
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06/06/2018
Online Makespan Minimization: The Power of Restart
We consider the online makespan minimization problem on identical machin...
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05/21/2018
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
Despite substantial interest in applications of neural networks to infor...
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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. ...
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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 ...
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02/12/2018
How to Match when All Vertices Arrive Online
We introduce a fully online model of maximum cardinality matching in whi...
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01/30/2018
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Motivation: Biomedical named entity recognition (BioNER) is the most fun...
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01/05/2018