1 code implementation • EMNLP 2020 • Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu
Thus, the impact of meaning representation on semantic parsing is less understood.
no code implementations • 3 Feb 2024 • Xueqing Liu, Kyra Gan, Esmaeil Keyvanshokooh, Susan Murphy
We propose two online approximation algorithms for this problem, one with and one without learning augmentation, and provide rigorous theoretical performance guarantees for them using competitive ratio analysis.
no code implementations • 24 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.
1 code implementation • 23 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.
no code implementations • 29 May 2023 • Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan Murphy
Contextual bandit algorithms are commonly used in digital health to recommend personalized treatments.
no code implementations • 27 Nov 2022 • Xueqing Liu, Tao Tu, Paul Sajda
Simultaneous EEG-fMRI is a multi-modal neuroimaging technique that provides complementary spatial and temporal resolution.
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.
1 code implementation • 14 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.
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.
no code implementations • 5 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.
no code implementations • 5 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.
no code implementations • 1 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.
no code implementations • 15 Jan 2020 • Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo
Together, these studies validate our hypothesis that a deep learning approach can potentially replace the need for GBCAs in brain MRI.
no code implementations • 13 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.