Search Results for author: Xueqing Liu

Found 14 papers, 5 papers with code

Online Uniform Allocation:Randomized Learning-Augmented Approximation Algorithms with Application to Digital Health

no code implementations3 Feb 2024 Xueqing Liu, Kyra Gan, Esmaeil Keyvanshokooh, Susan Murphy

In the OUA problem, the algorithm is given a budget $b$ and a time horizon $T$, and an adversary then chooses a value $\tau^* \in [b, T]$, which is revealed to the algorithm online.

Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study

no code implementations24 Nov 2023 Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, Bibhas Chakraborty

Mobile health (mHealth) technologies aim to improve distal outcomes, such as clinical conditions, by optimizing proximal outcomes through just-in-time adaptive interventions.

Decision Making Multi-Armed Bandits +1

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies

1 code implementation23 Jul 2023 Jiangrui Zheng, Xueqing Liu, Guanqun Yang, Mirazul Haque, Xing Qian, Ravishka Rathnasuriya, Wei Yang, Girish Budhrani

We observe significant improvement in the models' conformity to content policies while having comparable scores on the original test data.

Hate Speech Detection

Contextual Bandits with Budgeted Information Reveal

no code implementations29 May 2023 Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan Murphy

Contextual bandit algorithms are commonly used in digital health to recommend personalized treatments.

Multi-Armed Bandits

Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI

no code implementations27 Nov 2022 Xueqing Liu, Tao Tu, Paul Sajda

Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution.


TestAug: A Framework for Augmenting Capability-based NLP Tests

1 code implementation COLING 2022 Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu

Our experiments show that TestAug has three advantages over the existing work on behavioral testing: (1) TestAug can find more bugs than existing work; (2) The test cases in TestAug are more diverse; and (3) TestAug largely saves the manual efforts in creating the test suites.

Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models

1 code implementation14 Aug 2021 Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu

In this work, for the first time, we propose to investigate this problem where only a small number of labeled training samples are available.

named-entity-recognition Named Entity Recognition +2

An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models

1 code implementation ACL 2021 Xueqing Liu, Chi Wang

We find that using the same time budget, HPO often fails to outperform grid search due to two reasons: insufficient time budget and overfitting.

Hyperparameter Optimization

Latent neural source recovery via transcoding of simultaneous EEG-fMRI

no code implementations5 Oct 2020 Xueqing Liu, Linbi Hong, Paul Sajda

Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution for inferring a latent source space of neural activity.


Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles

no code implementations5 Jul 2020 Yongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu

Furthermore, a data-driven model predictive controller with the learned Koopman model is designed for path tracking control of autonomous vehicles.

Autonomous Driving

Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks

no code implementations1 Jun 2020 Xueqing Liu, Paul Sajda

Many imaging technologies rely on tomographic reconstruction, which requires solving a multidimensional inverse problem given a finite number of projections.

Computed Tomography (CT)

Scalable and Robust Construction of Topical Hierarchies

no code implementations13 Mar 2014 Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han

Automated generation of high-quality topical hierarchies for a text collection is a dream problem in knowledge engineering with many valuable applications.

Cannot find the paper you are looking for? You can Submit a new open access paper.