Search Results for author: Xueqing Liu

Found 10 papers, 4 papers with code

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 NER +1

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.

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