Explanipedia

From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA Diffusion Open

Emmanuel Oladokun, Yongsheng Ou, Анна Новикова, Daria Kulikova, Sarina Thomas , et al. · 2025

Deep diffusion models excel at realistic image synthesis but demand large training sets-an obstacle in data-scarce domains like transesophageal echocardiography (TEE). While synthetic augmentation has boosted performance in transthoracic e…

Semantic geometric fusion multi-object tracking and lidar odometry in dynamic environment – CORRIGENDUM Open

Tingchen Ma, Guolai Jiang, Yongsheng Ou, Sheng Xu · 2025

An Incremental Learning Framework for Robotic Complex Skills Under Limited Demonstrations Open

Shi Bao, Yongsheng Ou, Guoliang Zhao, Degang Wang · 2025

121 - Bladder wall injection of high molecular weight hyaluronic acid reduces inflammatory cytokine expression and enhances functional outcomes in a cyclophosphamide-induced interstitial cystitis rat model Open

Yongsheng Ou, Kenneth Y. Tsai · 2025

Overall Problems and Prospect of University Writing before and after 2020’s - Targeting the expansion of the field to affiliate specific writing and subsequent changes Open

Yongsheng Ou · 2024

304 - Endoscopic combined robotic-assisted excision of symptomatic prostatic utricle cyst Open

Liu P, Yong Lin, Yongsheng Ou, Liyuan Huang, Weihao Weng , et al. · 2024

Robust Second-order LiDAR Bundle Adjustment Algorithm Using Mean Squared Group Metric Open

Tingchen Ma, Yongsheng Ou, Xu Sheng · 2024

The bundle adjustment (BA) algorithm is a widely used nonlinear optimization technique in the backend of Simultaneous Localization and Mapping (SLAM) systems. By leveraging the co-view relationships of landmarks from multiple perspectives,…

Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm Open

Tingchen Ma, Lingxin Kong, Yongsheng Ou, Sheng Xu · 2024

Simultaneous localization and mapping (SLAM) is a hot research area that is widely required in many robotics applications. In SLAM technology, it is essential to explore an accurate and efficient map model to represent the environment and …

A stepwise thermal migration for inducing copper nanoparticles to boost oxygen reduction activity of single-atomic copper sites Open

Tianyou Zhao, Lingui Yang, XiaoXian Wu, Xiaoming Gao, Ruishen Huang , et al. · 2024

Although single-atom M-N-C electrocatalysts have demonstrated their potential in metal-air batteries and fuel cells, their activity for oxygen reduction reaction (ORR) needs to be further improved. Regulating the electronic structure of M-…

Dual-MOFs-Derived Fe and Mn Species Anchored on Bamboo-like Carbon Nanotubes for Efficient Oxygen Reduction as Electrocatalysts Open

Ailan Situ, Tianyou Zhao, Yuetong Huang, Pingzhen Li, Lingui Yang , et al. · 2023

The development of efficient non-precious metal electrocatalysts for oxygen reduction reaction (ORR) to replace Pt-based methods is crucial for the applications of fuel cells and metal–air batteries. In this study, a bimetallic M-N-C catal…

Lightweight Multimodal Domain Generic Person Reidentification Metric for Person-Following Robots Open

Muhammad Adnan Syed, Yongsheng Ou, Tao Li, Guolai Jiang · 2023

Recently, person-following robots have been increasingly used in many real-world applications, and they require robust and accurate person identification for tracking. Recent works proposed to use re-identification metrics for identificati…

Summary of the Best Evidence for the Evaluation and Management of Chemotherapy-Related Nausea and Vomiting in Cancer Patients Open

Panpan Zheng, Yongsheng Ou, Jinyan Jiang, Hongting Liu, Xinxia Mo , et al. · 2023

Objective: To summarize the best evidence for the evaluation and management of chemotherapy-related nausea and vomiting in cancer patients, so as to promote the standardized management of chemotherapy-related nausea and vomiting in cancer …

Summary of the Best Evidence for Preoperative Pre-Rehabilitation in Patients with Lung Cancer Complicated with COPD Open

Panpan Zheng, Yongsheng Ou, Hongting Liu, Jinling Li · 2023

Objective: To search, evaluate and integrate the best domestic and foreign evidence on the preoperative pre-rehabilitation of lung cancer patients with COPD, and summarize the best evidence. Methods: Cochrane Library, BMJ Best Practice, JB…

Semantic Geometric Fusion Multi-object Tracking and Lidar Odometry in Dynamic Environment Open

Tingchen Ma, Yongsheng Ou · 2022

The SLAM system based on static scene assumption will introduce huge estimation errors when moving objects appear in the field of view. This paper proposes a novel multi-object dynamic lidar odometry (MLO) based on semantic object detectio…

Learning Human Strategies for Tuning Cavity Filters with Continuous Reinforcement Learning Open

Zhiyang Wang, Yongsheng Ou · 2022

Learning to master human intentions and behave more humanlike is an ultimate goal for autonomous agents. To achieve that, higher requirements for intelligence are imposed. In this work, we make an effort to study the autonomous learning me…

Meta-Analysis of Aspirin for Primary Prevention of Stroke Open

Panpan Zheng, Yanjun Mao, Xiaoxia Yan, Junrong Ding, Yongsheng Ou · 2022

Objective: This paper aims to evaluate the safety and efficacy of aspirin in primary stroke prevention by meta-analysis. Methods: By searching PubMed, Cochrane Library, Embase, MEDLINE, Web of Science, CNKI, China Biomedical Literature Dat…

Effects of Chronic Kidney Disease on levels of Oxidative Stress and Trace Elements Open

Zhu X, Y Zhang, Han Jing, D Xiao, Zhu D , et al. · 2022

Introduction: The relationship between trace elements and Oxidative Stress (OS) in Chronic Kidney Disease (CKD) patients is still not completely elucidated. The aim of this work is to determine the serum levels of OS and the trace elements…

Supplementary Material for: Transcriptomic Analysis Reveals that Atf3/c-Jun/Lgals3 axis is associated with Central Diabetes Insipidus after Hypothalamic Injury Open

Mian Zhou, Yongsheng Ou, Guojun Wu, Li K., Jiangling Peng , et al. · 2021

Background: Hypothalamic injury causes several complicated neuroendocrine-associated disorders, such as water-electrolyte imbalance, obesity, and hypopituitarism. Among these, central diabetes insipidus (CDI), characterized by polyuria, po…

UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement Open

Yangyang Qu, Kai Chen, Chao Liu, Yongsheng Ou · 2020

Low-light image enhancement, such as recovering color and texture details from low-light images, is a complex and vital task. For automated driving, low-light scenarios will have serious implications for vision-based applications. To addre…

LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks Open

Yangyang Qu, Chao Liu, Yongsheng Ou · 2020

Restoring images from low-light data is a challenging problem. Most existing deep-network based algorithms are designed to be trained with pairwise images. Due to the lack of real-world datasets, they usually perform poorly when generalize…

KCNH3 Predicts Poor Prognosis and Promotes Progression in Ovarian Cancer Open

Li Z, L Huang, Lei Wei, BaoGuo Zhang, Shengping Zhong , et al. · 2020

Zhongjun Li,1,2,* Lishan Huang,1,* Li Wei,1 Bin Zhang,1 Shulin Zhong,1 Yijing Ou,1 Chuangyu Wen,1 Suran Huang1 1Department of Obstetrics and Gynecology, Affiliated Dongguan People’s Hospital, Southern Medical University, Dongguan, Gu…

Real‐time running detection system for UAV imagery based on optical flow and deep convolutional networks Open

Qingtian Wu, Yimin Zhou, Xinyu Wu, Guoyuan Liang, Yongsheng Ou , et al. · 2020

A fast‐running human detection system for the unmanned aerial vehicle (UAV) based on optical flow and deep convolution networks is proposed in this study. In the system, running humans can be detected in real‐time at the speed of 15 frames…

A Wheeled Inverted Pendulum Learning Stable and Accurate Control from Demonstrations Open

Shaokun Jin, Yongsheng Ou · 2019

In order to enable robots to be more intelligent and flexible, one way is to let robots learn human control strategy from demonstrations. It is a useful methodology, in contrast to traditional preprograming methods, in which robots are req…

A Simultaneous Localization and Mapping (SLAM) Framework for 2.5D Map Building Based on Low-Cost LiDAR and Vision Fusion Open

Guolai Jiang, Lei Yin, Shaokun Jin, Chaoran Tian, Xinbo Ma , et al. · 2019

The method of simultaneous localization and mapping (SLAM) using a light detection and ranging (LiDAR) sensor is commonly adopted for robot navigation. However, consumer robots are price sensitive and often have to use low-cost sensors. Du…

Depth Estimation of a Deformable Object via a Monocular Camera Open

Guolai Jiang, Shaokun Jin, Yongsheng Ou, Shoujun Zhou · 2019

The depth estimation of the 3D deformable object has become increasingly crucial to various intelligent applications. In this paper, we propose a feature-based approach for accurate depth estimation of a deformable 3D object with a single …

FFT-Based Scan-Matching for SLAM Applications with Low-Cost Laser Range Finders Open

Guolai Jiang, Lei Yin, Guodong Liu, Weina Xi, Yongsheng Ou · 2018

Simultaneous Localization and Mapping (SLAM) is an active area of robot research. SLAM with a laser range finder (LRF) is effective for localization and navigation. However, commercial robots usually have to use low-cost LRF sensors, which…

Field Trial of Monitoring On-Demand at Intermediate-Nodes Through Bayesian Optimization Open

F. Meng, Alex Mavromatis, Yu Bi, Shuangyi Yan, R. Wang , et al. · 2018

We demonstrate an intelligent monitoring on-demand switching strategy at network nodes based on Bayesian optimization.It is shown that our proposed method achieves identical monitoring capability as complete system exploration while saving…

Field Trial of Gaussian Process Learning of Function-Agnostic Channel Performance Under Uncertainty Open

Fanxing Meng, Shuangyi Yan, Konstantinos Nikolovgenis, Yongsheng Ou, R. Wang , et al. · 2018

We model and experimentally demonstrate a novel performance learning method based on monitoring and Gaussian process.After 436km dark fiber transmission the model captures most of the test data with reasonable prediction error and enables …

Upper bound for multi-parameter iterated commutators Open

Laurent Dalenc, Yongsheng Ou · 2015

We show that the product BMO space can be characterized by iterated commutators of a large class of Calderón-Zygmund operators. This result followsfrom a new proof of boundedness of iterated commutators in terms of the BMO norm of their sy…

Guest Editorial Special Section on Home Automation Open

Weihua Sheng, Yoky Matsuoka, Yongsheng Ou, Meiqin Liu, Fulvio Mastrogiovanni · 2015

The papers in this special section present the most recent research work that showcases the state-of-the-art of human-centered computing and its potential applications in developing truly smart home automation systems.

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