Search

Your search keyword '"Liu, Jiandong"' showing total 1,004 results
Start Over Author "Liu, Jiandong"
1,004 results on '"Liu, Jiandong"'

3. TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism

Author

Liu, Jiandong, Zhang, Lan, Lv, Chaojie, Yu, Ting, Freris, Nikolaos M., and Li, Xiang-Yang

Subjects
Computer Science - Cryptography and Security, Computer Science - Multiagent Systems
Abstract

In modern distributed computing applications, such as federated learning and AIoT systems, protecting privacy is crucial to prevent adversarial parties from colluding to steal others' private information. However, guaranteeing the utility of computation outcomes while protecting all parties' data privacy can be challenging, particularly when the parties' privacy requirements are highly heterogeneous. In this paper, we propose a novel privacy framework for multi-party computation called Threshold Personalized Multi-party Differential Privacy (TPMDP), which addresses a limited number of semi-honest colluding adversaries. Our framework enables each party to have a personalized privacy budget. We design a multi-party Gaussian mechanism that is easy to implement and satisfies TPMDP, wherein each party perturbs the computation outcome in a secure multi-party computation protocol using Gaussian noise. To optimize the utility of the mechanism, we cast the utility loss minimization problem into a linear programming (LP) problem. We exploit the specific structure of this LP problem to compute the optimal solution after O(n) computations, where n is the number of parties, while a generic solver may require exponentially many computations. Extensive experiments demonstrate the benefits of our approach in terms of low utility loss and high efficiency compared to existing private mechanisms that do not consider personalized privacy requirements or collusion thresholds., Comment: 12 pages, 4 figures, submitted to MASS 2023, correct typos

Published
2023

6. Migrating Thermal Tides in the Martian Atmosphere during Aphelion Season Observed by EMM/EMIRS

Author

Fan, Siteng, Forget, François, Smith, Michael D., Guerlet, Sandrine, Badri, Khalid M., Atwood, Samuel A., Young, Roland M. B., Edwards, Christopher S., Christensen, Philip R., Deighan, Justin, Matroushi, Hessa R. Al, Bierjon, Antoine, Liu, Jiandong, and Millour, Ehouarn

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

Temperature profiles retrieved using the first set of data of the Emirates Mars InfraRed Spectrometer (EMIRS) obtained during the science phase of the Emirates Mars Mission (EMM) are used for the analysis of migrating thermal tides in the Martian atmosphere. The selected data cover a solar longitude (LS) range of 60{\deg}-90{\deg} of Martian Year (MY) 36. The novel orbit design of the Hope Probe leads to a good geographic and local time coverage that significantly improves the analysis. Wave mode decomposition suggests dominant diurnal tide and important semi-diurnal tide with maximal amplitudes of 6K and 2K, respectively, as well as the existence of ~0.5K ter-diurnal tide. The results agree well with predictions by the Mars Planetary Climate Model (PCM), but the observed diurnal tide has an earlier phase (3h), and the semi-diurnal tide has an unexpectedly large wavelength (~200km)., Comment: 11 pages, 5 figures, accepted by GRL special issue "The First Results from the Emirates Mars Mission (EMM)"

Published
2022
Full Text
View/download PDF

26. Decreased Regional Spontaneous Brain Activity and Cognitive Dysfunction in Patients with Coronary Heart Disease: a Resting-state Functional MRI Study

Author

Sun, Zhaolei, Liu, Jing, Sun, Jian, Xu, Zixue, Liu, Wanchen, Mao, Ning, Chu, Tongpeng, Guo, Hao, Che, Kaili, Xu, Xiao, Bai, Wei, Liu, Xiaoliang, Wang, Haiyan, Lu, Xin, Liu, Jiandong, Shi, Yinghong, Sun, Chunjuan, Li, Wenjuan, Sui, Yanbin, Zhang, Zhongsheng, Lin, Shujuan, Dong, Jianjun, Xie, Haizhu, Ma, Heng, and Qin, Wen

Published
2023
Full Text
View/download PDF

30. Flood Analysis and Simulation Attempts of the Newly Proposed Capital City of Indonesia

Author

Wang, Mingyan, Gourbesville, Philippe, Liong, Shie-Yui, Kim, Dongeon, Liu, Jiandong, Kostianoy, Andrey, Series Editor, Carpenter, Angela, Editorial Board Member, Younos, Tamim, Editorial Board Member, Scozzari, Andrea, Editorial Board Member, Vignudelli, Stefano, Editorial Board Member, Kouraev, Alexei, Editorial Board Member, Gourbesville, Philippe, editor, and Caignaert, Guy, editor

Published
2022
Full Text
View/download PDF

31. Further Enhancement of Satellite DEM Resolution and Accuracy Using Machine Learning and Remote Sensing Data

Author

Kim, Dong Eon, Liu, Jiandong, Andres, Ludovic, Gourbesville, Philippe, Liong, Shie-Yui, Kostianoy, Andrey, Series Editor, Carpenter, Angela, Editorial Board Member, Younos, Tamim, Editorial Board Member, Scozzari, Andrea, Editorial Board Member, Vignudelli, Stefano, Editorial Board Member, Kouraev, Alexei, Editorial Board Member, Gourbesville, Philippe, editor, and Caignaert, Guy, editor

Published
2022
Full Text
View/download PDF

32. Stream Rehabilitation Design in a Potentially Protected Forest Catchment in Singapore

Author

Liu, Jiandong, Kim, Dong Eon, Nguyen, Canh Tien Trinh, Cai, Yixiong, Liong, Shie-Yui, Kostianoy, Andrey, Series Editor, Carpenter, Angela, Editorial Board Member, Younos, Tamim, Editorial Board Member, Scozzari, Andrea, Editorial Board Member, Vignudelli, Stefano, Editorial Board Member, Kouraev, Alexei, Editorial Board Member, Gourbesville, Philippe, editor, and Caignaert, Guy, editor

Published
2022
Full Text
View/download PDF

33. Flame detection in electric power scenarios based on Gaussian modeling

Author

HUANG Juncai, LIU Jiandong, YAN Yunfeng, and QI Donglian

Subjects
electric power scenario, flame recognition, deep learning, object detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

There are two problems in flame detection in electric power scenarios based on deep learning： 1）In contrast to the clear boundaries of general objects， the flame boundary is much hazy； 2）The deep learning-based methods require a large amount of labeled data for training； however， there is a severe shortage of large-scale flame detection data in electric power scenarios. In response to the first problem， this paper improves the traditional YOLOv5 detector to capture the uncertainty of the frame through Gaussian modeling. For the second question， this paper proposes a two-stage training method based on migration learning， which requires only a small number of flame data of the power scenarios for high-precision flame detector training. For verifying the effectiveness of the proposed method， accessible data on the internet and private data are used for contrast experiment. The results show that the proposed method is of great adaptability.

Published
2022
Full Text
View/download PDF

34. A smart monitoring method for electric power construction site area based on target correlation

Author

CHEN Chang, LIU Jiandong, YAN Yunfeng, and QI Donglian

Subjects
smart construction site, area monitoring, target correlation, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In view of electric power construction site with low level of informationization， lack of intelligent management， and small supervision areas， the paper proposes a smart monitoring method for electric power construction site areas based on target correlation method. Given the cumbersome positioning process of the targets to be measured （person， car） in the existing method and the inability to fully utilize the environment-related information， the correlation fusion module is introduced to improve the information utilization rate of the relative position of the targets to be tested. Multi-target positioning is carried out using the same network model to reduce the complexity of positioning and improve positioning efficiency. Experiments are carried out using real images of the construction site. The results show that the detection accuracy of the proposed method for the target to be measured in the construction site area is up to 99.2%， which is of high engineering application value.

Published
2022
Full Text
View/download PDF

36. High-precision tracking and positioning for monitoring Holstein cattle

Author

Luo, Wei, primary, Zhang, Guoqing, additional, Yuan, Quanbo, additional, Zhao, Yongxiang, additional, Chen, Hongce, additional, Zhou, Jingjie, additional, Meng, Zhaopeng, additional, Wang, Fulong, additional, Li, Lin, additional, Liu, Jiandong, additional, Wang, Guanwu, additional, Wang, Penggang, additional, and Yu, Zhongde, additional

Published
2024
Full Text
View/download PDF

42. Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming.

Author

Zhou, Yang, Liu, Ziqing, Welch, Joshua, Gao, Xu, Wang, Li, Garbutt, Tiffany, Keepers, Benjamin, Ma, Hong, Prins, Jan, Shen, Weining, Liu, Jiandong, and Qian, Li

Subjects
CELL reprogramming, RNA velocity, SLICER, cell fate index, fibroblast, iCM, single-cell RNA-seq, Animals, Cell Differentiation, Cell Lineage, Cellular Reprogramming, Cellular Reprogramming Techniques, Fibroblasts, Humans, Myocytes, Cardiac, Sequence Analysis, RNA, Single-Cell Analysis, Transcriptome
Abstract

Direct cellular reprogramming provides a powerful platform to study cell plasticity and dissect mechanisms underlying cell fate determination. Here, we report a single-cell transcriptomic study of human cardiac (hiCM) reprogramming that utilizes an analysis pipeline incorporating current data normalization methods, multiple trajectory prediction algorithms, and a cell fate index calculation we developed to measure reprogramming progression. These analyses revealed hiCM reprogramming-specific features and a decision point at which cells either embark on reprogramming or regress toward their original fibroblast state. In combination with functional screening, we found that immune-response-associated DNA methylation is required for hiCM induction and validated several downstream targets of reprogramming factors as necessary for productive hiCM reprograming. Collectively, this single-cell transcriptomics study provides detailed datasets that reveal molecular features underlying hiCM determination and rigorous analytical pipelines for predicting cell fate conversion.

Published
2019

43. Lin28a Regulates Pathological Cardiac Hypertrophic Growth Through Pck2-Mediated Enhancement of Anabolic Synthesis.

Author

Ma, Hong, Yu, Shuo, Liu, Xiaojing, Zhang, Yingao, Fakadej, Thomas, Liu, Ziqing, Yin, Chaoying, Shen, Weining, Locasale, Jason, Taylor, Joan, Qian, Li, and Liu, Jiandong

Subjects
Lin28a, Pck2, cardiac hypertrophy, glycolysis, metabolism, Animals, Cell Proliferation, Cells, Cultured, Disease Models, Animal, Energy Metabolism, Glycolysis, Hypertrophy, Left Ventricular, Mice, Knockout, Mitochondria, Heart, Myocytes, Cardiac, Phosphoenolpyruvate Carboxykinase (ATP), Protein Binding, RNA Stability, RNA, Messenger, RNA-Binding Proteins, Rats, Sprague-Dawley, Ventricular Function, Left, Ventricular Remodeling
Abstract

BACKGROUND: Hypertrophic response to pathological stimuli is a complex biological process that involves transcriptional and epigenetic regulation of the cardiac transcriptome. Although previous studies have implicated transcriptional factors and signaling molecules in pathological hypertrophy, the role of RNA-binding protein in this process has received little attention. METHODS: Here we used transverse aortic constriction and in vitro cardiac hypertrophy models to characterize the role of an evolutionary conserved RNA-binding protein Lin28a in pathological cardiac hypertrophy. Next-generation sequencing, RNA immunoprecipitation, and gene expression analyses were applied to identify the downstream targets of Lin28a. Epistatic analysis, metabolic assays, and flux analysis were further used to characterize the effects of Lin28a and its downstream mediator in cardiomyocyte hypertrophic growth and metabolic remodeling. RESULTS: Cardiac-specific deletion of Lin28a attenuated pressure overload-induced hypertrophic growth, cardiac dysfunction, and alterations in cardiac transcriptome. Mechanistically, Lin28a directly bound to mitochondrial phosphoenolpyruvate carboxykinase 2 ( Pck2) mRNA and increased its transcript level. Increasing Pck2 was sufficient to promote hypertrophic growth similar to that caused by increasing Lin28a, whereas knocking down Pck2 attenuated norepinephrine-induced cardiac hypertrophy. Epistatic analysis demonstrated that Pck2 mediated, at least in part, the role of Lin28a in cardiac hypertrophic growth. Furthermore, metabolomic analyses highlighted the role for Lin28a and Pck2 in promoting cardiac biosynthesis required for cell growth. CONCLUSIONS: Our study demonstrates that Lin28a promotes pathological cardiac hypertrophy and glycolytic reprograming, at least in part, by binding to and stabilizing Pck2 mRNA.

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results