Explanipedia

Design, Analysis, and Experiment of an Automatic Lettuce-Harvesting Mechanism Open

Runsheng Liu, Mingjie Dong, Qi Xiao, Changqi Lv, Ziqiang Zhang · 2025

The global reduction in agricultural labor owing to rural depopulation and an aging workforce necessitates advancements in agricultural automation. This paper presents the design, optimization, and experimental validation of an innovative …

The Principle and Application of Achromatic Metalens Open

Runsheng Liu, Lihua Li, Jian Zhou · 2025

Metalenses, as ultrathin planar optical devices based on metasurfaces, have attracted significant research interest in recent years due to their compact structure and versatile light manipulation, showing great potential to replace traditi…

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation Open

Hao Jiang, Jin Cheng, Huangjing Lin, Yanning Zhou, Xi Wang , et al. · 2025

Cervical cancer is a leading malignancy in female reproductive system. While AI-assisted cytology offers a cost-effective and non-invasive screening solution, current systems struggle with generalizability in complex clinical scenarios. To…

GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation Open

Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang , et al. · 2024

Instance segmentation plays a vital role in the morphological quantification of biomedical entities such as tissues and cells, enabling precise identification and delineation of different structures. Current methods often address the chall…

Holistic and Historical Instance Comparison for Cervical Cell Detection Open

Hao Jiang, Runsheng Liu, Yanning Zhou, Huangjing Lin, Hao Chen · 2024

Cytology screening from Papanicolaou (Pap) smears is a common and effective tool for the preventive clinical management of cervical cancer, where abnormal cell detection from whole slide images serves as the foundation for reporting cervic…

A Conditional Privacy-Preserving Identity-Authentication Scheme for Federated Learning in the Internet of Vehicles Open

Shengwei Xu, Runsheng Liu · 2024

With the rapid development of artificial intelligence and Internet of Things (IoT) technologies, automotive companies are integrating federated learning into connected vehicles to provide users with smarter services. Federated learning ena…

LIA-V2X: A Lightweight identity mutual and batch authentication protocol for V2X Communication in Internet of Vehicles Open

Jiaxing liu, Shengwei Xu, Runsheng Liu, Yu Tian, Xiaopeng Zhu , et al. · 2024

Vehicular Ad hoc Networks (VANETs) hold significant importance within the domain of the Internet of Things. However, they face a critical issue concerning security threats. Criminals use open channels to eavesdrop, and tamper with messages…

Hybrid Feature Selection and Fault Identification of Train Bearings Based on Integrated Learning Open

Y.X. Li, Stanley C. Xie, Runsheng Liu · 2023

This Fast and accurate implementation of train bearing fault identification has been one of the key tasks of intelligent train health maintenance.In recent years, with the development of deep network technology, some bearing fault identifi…

The intermediate level-sets of the four-dimensional membrane model Open

Xinyi Li, Runsheng Liu · 2022

In this paper, we consider the discrete membrane model in four dimensions. We confirm the existence of the scaling limit of the intermediate (i.e., a multiple of the expected maximum) level-sets of the model, and show that it is equal in l…

WITHDRAWN: CCR2 Contributes to the Homing of MSCs and Liver Regeneration Open

Xuekun Xing, Jiaqiang Zhang, Hong‐Nan Li, Runsheng Liu, Na Wang · 2021

Objective: Mesenchymal stem cells (MSCs) are emerging as a new therapeutic strategy for liver diseases.However, the inability of stem cells to efficiently return to the target tissue is a major obstacle to repair.The chemokine family and i…

Feasibility of in vivo Magnetic Induction Tomography in Rabbits Open

Qihui Chen, Runsheng Liu, Cong Wang, Ruigang Liu · 2020

Background: As a non-contact, non-invasive medical imaging technique, magnetic induction tomography (MIT) can measure the conductivity distribution inside the human body. Numerical calculation and physical phantom tests have showed the acc…

Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding Open

Dong Liu, Ke Sun, Zhangyang Wang, Runsheng Liu, Zheng-Jun Zha · 2019

The problem of $L_p$-norm constrained coding is to convert signal into code\nthat lies inside an $L_p$-ball and most faithfully reconstructs the signal.\nPrevious works under the name of sparse coding considered the cases of $L_0$\nand $L_…

Screening of good-quality and high-yielding late rice varieties for Ganzhou tobacco-rice rotation area. Open

Yiqing Tan, Wei XueJiao, Runsheng Liu, Xiao XianYi, Yang Qing-gen , et al. · 2019

Using an Adjustment Training and a Smoothing Mask for Speech Segregation Open

Yi Jiang, Runsheng Liu, Yuanyuan Zu · 2018

This paper focuses on the improvement of speech intelligibility and nature auditory perception. A dual microphone computational auditory scene analysis (CASA) based speech segregation system is proposed. A deep neural network (DNN) is equi…

L p -Norm Constrained Coding With Frank-Wolfe Network. Open

Ke Sun, Zhangyang Wang, Dong Liu, Runsheng Liu · 2018

We investigate the problem of $L_p$-norm constrained coding, i.e. converting signal into code that lies inside the $L_p$-ball and most faithfully reconstructs the signal. While previous works known as sparse coding have addressed the cases…

Parameter masks for close talk speech segregation using deep neural networks Open

Yi Jiang, Runsheng Liu · 2015

\nA deep neural networks (DNN) based close talk speech segregation algorithm is introduced. One nearby microphone is used to collect the target speech as close talk indicated, and another microphone is used to get the noise in environments…

Runsheng Liu YOU? Author Swipe