no code implementations • SemEval (NAACL) 2022 • Caleb Martin, Huichen Yang, William Hsu
In this work, we introduce our system to the SemEval 2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER) competition.
no code implementations • 4 Nov 2023 • Elisa Warner, Joonsang Lee, William Hsu, Tanveer Syeda-Mahmood, Charles Kahn, Olivier Gevaert, Arvind Rao
Machine learning (ML) applications in medical artificial intelligence (AI) systems have shifted from traditional and statistical methods to increasing application of deep learning models.
no code implementations • IEEE International Conference on Image Processing 2022 • Huichen Yang, William Hsu
We present an end-to-end transformer-based framework named TRDLU for the task of Document Layout Understanding (DLU).
Ranked #2 on Document Layout Analysis on PubLayNet val
1 code implementation • 5 Jan 2022 • Ademola Okerinde, Sam Hoggatt, Divya Vani Lakkireddy, Nolan Brubaker, William Hsu, Lior Shamir, Brian Spiesman
In recent years, self-supervised learning has had significant success in applications involving computer vision and natural language processing.
2 code implementations • 9 Apr 2021 • Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis, Nasik Nafi
In the proposed approach we use the discriminator network to output a negative or positive score.
1 code implementation • 2 Mar 2021 • Ademola Okerinde, Lior Shamir, William Hsu, Tom Theis
Several deep neural networks were tested, as were shallow learning methods.
no code implementations • 14 Dec 2020 • Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William Hsu, Dan Andresen, Mohammed Tanash
We present a supervised learning model trained on a Simple Linux Utility for Resource Management (Slurm) data set of HPC jobs using three different techniques for selecting features: linear regression, lasso, and ridge regression.
no code implementations • 11 Oct 2020 • Lei Luo, William Hsu, Shangxian Wang
Generative adversarial networks (GANs) have been successfully applied to transfer visual attributes in many domains, including that of human face images.
1 code implementation • IEEE Transactions on Medical Imaging 2020 • Meng Li, William Hsu, Xiaodong Xie, Jason Cong, Wen Gao
We combine these two methods and demonstrate their effectiveness on both CNN-based neural networks and WGAN-based neural networks with comprehensive experiments.
no code implementations • 22 Jan 2020 • Leihao Wei, Yannan Lin, William Hsu
We obtained projection data from 40 low-dose chest CT scans, simulating acquisitions at 10%, 25% and 50% dose and reconstructing the scans at 1. 0mm and 2. 0mm slice thickness.
1 code implementation • 11 Dec 2019 • Nova F. Smedley, Suzie El-Saden, William Hsu
To interpret the models, we propose gene masking and gene saliency to extract learned relationships from radiogenomic neural networks.
Quantitative Methods
no code implementations • 3 Jun 2019 • Vahid Behzadan, William Hsu
This scheme provides a mechanism for the integration of a unique identifier within the policy in the form of its response to a designated sequence of state transitions, while incurring minimal impact on the nominal performance of the policy.
no code implementations • 3 Jun 2019 • Vahid Behzadan, William Hsu
This paper investigates the effectiveness of adversarial training in enhancing the robustness of Deep Q-Network (DQN) policies to state-space perturbations.
no code implementations • 3 Jun 2019 • Vahid Behzadan, William Hsu
This paper investigates a class of attacks targeting the confidentiality aspect of security in Deep Reinforcement Learning (DRL) policies.
no code implementations • 3 Jun 2019 • Vahid Behzadan, William Hsu
This paper investigates the resilience and robustness of Deep Reinforcement Learning (DRL) policies to adversarial perturbations in the state space.
no code implementations • 3 Apr 2019 • Justin Wood, Nicholas J. Matiasz, Alcino J. Silva, William Hsu, Alexej Abyzov, Wei Wang
Current methods for extracting causal sentences are based on either machine learning or a predefined database of causal terms.
no code implementations • 18 Jul 2018 • Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
Computed tomography (CT) is increasingly being used for cancer screening, such as early detection of lung cancer.
no code implementations • 20 May 2018 • Dan Andresen, William Hsu, Huichen Yang, Adedolapo Okanlawon
We address the problem of predicting whether sufficient memory and CPU resources have been requested for jobs at submission time.
no code implementations • 1 Feb 2016 • Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
A cluster of patients is a set of patients with similar features (e. g. age, breast density, family history, etc.
no code implementations • 5 Mar 2015 • William Hsu, Mohammed Abduljabbar, Ryuichi Osuga, Max Lu, Wesam Elshamy
The problem of spatiotemporal event visualization based on reports entails subtasks ranging from named entity recognition to relationship extraction and mapping of events.