Search Results for author: Xinyu Zhao

Found 19 papers, 3 papers with code

GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations

no code implementations2 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.

Graph Generation

Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling

no code implementations6 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.

Automated Essay Scoring Language Modelling +2

Semantic Similarity Matching for Patent Documents Using Ensemble BERT-related Model and Novel Text Processing Method

no code implementations6 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.

Semantic Similarity Semantic Textual Similarity

Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms

no code implementations20 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.

Image Classification object-detection +1

CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics

no code implementations18 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.

Efficient Domain Coverage for Vehicles with Second-Order Dynamics via Multi-Agent Reinforcement Learning

no code implementations11 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)

Contrastive Psudo-supervised Classification for Intra-Pulse Modulation of Radar Emitter Signals Using data augmentation

no code implementations13 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.

Classification Clustering +2

Adaptive Partially-Observed Sequential Change Detection and Isolation

no code implementations9 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.

Change Detection Change Point Detection

Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction

no code implementations20 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.

Anomaly Detection

Flexible Generation of Natural Language Deductions

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.


Measurement of tunnel coupling in a Si double quantum dot based on charge sensing

no code implementations11 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

Large eddy simulation/probability density function simulations of the Cambridge turbulent stratified flame series under swirling conditions

no code implementations1 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

Effective Distant Supervision for Temporal Relation Extraction

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.

Relation Temporal Relation Extraction

Nutational resonances, transitional precession, and precession-averaged evolution in binary black-hole systems

no code implementations5 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

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