Ziyi Liu

The Biocontrol Strain Bacillus subtilis Z-294 Alleviates Pepper Phytophthora capsici Disease Associated with Microbial Community Structure

Yanan Zhao, Qingchao Zeng, Kunzhi Long, Qian Zhou et autres

The soil-borne oomycete pathogen Phytophthora capsici poses a serious threat to plant growth and results in substantial economic impact on the pepper industry. Therefore, the isolation of multifunctional biocontrol agents has become a major research priority. In this study, we isolated a …

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A comparison between robot-assisted minimally invasive surgery and conventional craniotomy for intracerebral hemorrhage: efficiency, complications and outcomes

Mingxiao Li, Yufei Gao, Ce Wang, Aimin Li et autres

Background Intracerebral hemorrhage (ICH) is a severe neurological condition with high morbidity and mortality rates. Robot-Assisted Minimally Invasive Surgery (RA-MIS) has emerged as a novel technique that may offer advantages over traditional craniotomy. This study aims to evaluate the clinical efficacy of …

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MSN: Rethinking Cross-Domain Automatic Modulation Recognition via Decoupled Modulation Signal Normalization

Yifan Chen, Xiangrong Zhang, Guanchun Wang, Ziyi Liu et autres

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Genuine Tripartite Strong Coupling in a Superconducting-Spin Hybrid Quantum System

Yingqiu Mao, Ziyi Liu, Yi-Zheng Zhen, Rong Tao et autres

We demonstrate genuine tripartite strong coupling in a solid-state hybrid quantum system comprising a superconducting transmon qubit, a fixed-frequency coplanar-waveguide resonator, and an ensemble of NV$^-$ centers in diamond. Frequency-domain spectroscopy reveals a characteristic three-mode avoided crossing, indicating that single excitations are …

PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification

Guanchun Wang, Ziyi Liu, Xiangrong Zhang, Yifan Chen et autres

Deep neural networks have achieved promising progress in signal modulation classification (SMC), playing an essential role in a variety of applications such as cognitive radio networks, cyber defense, and electronic surveillance. However, most existing SMC methods still follow the traditional machine learning …

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Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models

Ziyi Liu, Sidi Wu, Lorenz Hurni

Recent advances have enabled the extraction of vectorized features from digital historical maps. To fully leverage this information, however, the extracted features must be organized in a structured and meaningful way that supports efficient access and use. One promising approach is question …

Comparison of brainstem hematoma volume evaluation techniques with a novel quantitative approach

Xiangdong Wan, Yan Chen, Xueke Zhen, Ziyi Liu et autres

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ET-ADRC Control for Distributed Secondary Voltage Regulation in Islanded Microgrids

Ziyi Liu, Xiaofeng Zong

This paper presents a distributed event-triggered active disturbance rejection control (ET-ADRC) framework for secondary voltage regulation in islanded microgrids, effectively addressing both system uncertainties and communication constraints. The proposed solution employs a model-free design that inherently accommodates microgrid-specific characteristics, including line impedance …

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O 2 Flow: Object-aware optical flow estimation

Ziyi Liu, Jiawei Wang, Haixu Bi, Hongmin Liu

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Spatiotemporal Evolution of 3D Spatial Compactness in High-Speed Railway Station Areas: A Case Study of Chengdu-Chongqing North–South Line Stations (2015–2025)

Tijin Gui, Hong Yuan, Ziyi Liu

As a pivotal node in urban spatial restructuring, the evolution of three-dimensional (3D) compactness in high-speed rail station areas is crucial for sustainable development. However, the existing research predominantly focuses on two-dimensional forms and lacks dynamic analysis and models that are adaptable …

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An Efficient System for Automatic Map Storytelling: A Case Study on Historical Maps

Ziyi Liu, Claudio Affolter, Sidi Wu, Yizi Chen et autres

Abstract. Historical maps provide valuable information and knowledge about the past. However, as they often feature non-standard projections, hand-drawn styles, and artistic elements, it is challenging for non-experts to identify and interpret them. While existing image captioning methods have achieved remarkable success …

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Efficient identification of 2D/3D particle morphology parameters based on a dual-stage neural network approach

Ping Chen, Ziwei Zhao, Ziyi Liu, Wei Yao et autres

The macroscopic mechanical behaviour of geotechnical materials in underground space resources is significantly influenced by particle morphology parameters. Traditional two-dimensional (2D) image analysis methods are unable to accurately reflect the three-dimensional (3D) geometric characteristics of particles and suffer from issues such as …

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