no code implementations • 11 Nov 2022 • Xinyu Zhao, Razvan C. Fetecau, Mo Chen
To improve the stability of the learning-based policy and efficiency of exploration, we utilize an imitation loss based on the state-of-the-art classical control policy.
no code implementations • 13 Oct 2022 • HanCong Feng, XinHai Yan, Kaili Jiang, Xinyu Zhao, Bin Tang
The automatic classification of radar waveform is a fundamental technique in electronic countermeasures (ECM). Recent supervised deep learning-based methods have achieved great success in a such classification task. However, those methods require enough labeled samples to work properly and in many circumstances, it is not available. To tackle this problem, in this paper, we propose a three-stages deep radar waveform clustering(DRSC) technique to automatically group the received signal samples without labels. Firstly, a pretext model is trained in a self-supervised way with the help of several data augmentation techniques to extract the class-dependent features. Next, the pseudo-supervised contrastive training is involved to further promote the separation between the extracted class-dependent features. And finally, the unsupervised problem is converted to a semi-supervised classification problem via pseudo label generation.
no code implementations • 9 Aug 2022 • Xinyu Zhao, Jiuyun Hu, Yajun Mei, Hao Yan
High-dimensional data has become popular due to the easy accessibility of sensors in modern industrial applications.
no code implementations • 20 Sep 2021 • Xinyu Zhao, Hao Yan, Zhiyong Hu, Dongping Du
Electrical conduction among cardiac tissue is commonly modeled with partial differential equations, i. e., reaction-diffusion equation, where the reaction term describes cellular stimulation and diffusion term describes electrical propagation.
no code implementations • 3 Jul 2021 • Mingliang Bai, Xinyu Zhao, Zhenhua Long, Jinfu Liu, Daren Yu
Photovoltaic (PV) power is an important way to utilize solar energy.
1 code implementation • EMNLP 2021 • Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett
Natural language is an attractive representation for this purpose -- it is both highly expressive and easy for humans to understand.
no code implementations • 11 Mar 2021 • Xinyu Zhao, Xuedong Hu
In Si quantum dots, valley degree of freedom, in particular the generally small valley splitting and the dot-dependent valley-orbit phase, adds complexities to the low-energy electron dynamics and the associated spin qubit manipulation.
Mesoscale and Nanoscale Physics Quantum Physics
no code implementations • 1 Dec 2020 • Hasret Turkeri, Xinyu Zhao, Metin Muradgolu
The parametric studies show that the differential diffusion has a negligible effect on the mean and r. m. s.
Fluid Dynamics
2 code implementations • EACL (AdaptNLP) 2021 • Xinyu Zhao, Shih-ting Lin, Greg Durrett
A principal barrier to training temporal relation extraction models in new domains is the lack of varied, high quality examples and the challenge of collecting more.
no code implementations • 5 May 2017 • Xinyu Zhao, Michael Kesden, Davide Gerosa
We use analytic solutions for generic spin precession at 2PN order to derive Fourier series for the total and orbital angular momenta in which each term is a sinusoid with frequency $\Omega - n\omega$ for integer $n$.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena