no code implementations • 26 Mar 2024 • Xinyu Zhao, Hao Yan, Yongming Liu
This article argues that we can identify the events more accurately by leveraging the event taxonomy.
no code implementations • 2 Mar 2024 • Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
In contrast, in this work, we propose a novel self-conditioned graph generation framework designed to explicitly model graph distributions and employ these distributions to guide the generation process.
no code implementations • 6 Jan 2024 • Liqiang Yu, Bo Liu, Qunwei Lin, Xinyu Zhao, Chang Che
In the realm of patent document analysis, assessing semantic similarity between phrases presents a significant challenge, notably amplifying the inherent complexities of Cooperative Patent Classification (CPC) research.
no code implementations • 6 Jan 2024 • Jiaxin Huang, Xinyu Zhao, Chang Che, Qunwei Lin, Bo Liu
To address the specific needs of ELLs, we propose the use of DeBERTa, a state-of-the-art neural language model, for improving automated feedback tools.
no code implementations • 20 Dec 2023 • Bo Liu, Liqiang Yu, Chang Che, Qunwei Lin, Hao Hu, Xinyu Zhao
This paper focuses on the analysis of the application effectiveness of the integration of deep learning and computer vision technologies.
no code implementations • 25 Jun 2023 • Zhoufutu Wen, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wei Jia, Xiaodong Chen, Shuanglong Li, Lin Liu
The core of DIA is a query-image matching module performing ad image retrieval and relevance modeling.
no code implementations • 18 May 2023 • Xinyu Zhao, Sa Huang, Wei Pang, You Zhou
In this paper, we propose a novel registration model called Cascade-Dilation Inter-Layer Differential Network (CDIDN), which exhibits both high deformation impedance capability (DIC) and accuracy.
1 code implementation • 14 May 2023 • Qijie Wei, Jingyuan Yang, Bo wang, Jinrui Wang, Jianchun Zhao, Xinyu Zhao, Sheng Yang, Niranchana Manivannan, Youxin Chen, Dayong Ding, Jing Zhou, Xirong Li
This paper addresses the emerging task of recognizing multiple retinal diseases from wide-field (WF) and ultra-wide-field (UWF) fundus images.
no code implementations • 11 Nov 2022 • Xinyu Zhao, Razvan C. Fetecau, Mo Chen
Our proposed network architecture includes the incorporation of LSTM and self-attention, which allows the trained policy to adapt to a variable number of agents.
Multi-agent Reinforcement Learning Reinforcement Learning (RL)
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