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Privacy-aware Data Trading [article]

Shengling Wang, Lina Shi, Junshan Zhang, Xiuzhen Cheng, Jiguo Yu
2020 arXiv   pre-print
Considering that the data provider has no control of data privacy after transferring private data to the data collector, Weina Wang et al.  ... 
arXiv:2003.13897v1 fatcat:jistz5vujfdydc2jtr2j5zyuhu

Anomaly detection in online social networks [article]

David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Chou, Qingmai Wang
2016 arXiv   pre-print
Anomalies in online social networks can signify irregular, and often illegal behaviour. Anomalies in online social networks can signify irregular, and often illegal behaviour. Detection of such anomalies has been used to identify malicious individuals, including spammers, sexual predators, and online fraudsters. In this paper we survey existing computational techniques for detecting anomalies in online social networks. We characterise anomalies as being either static or dynamic, and as being
more » ... elled or unlabelled, and survey methods for detecting these different types of anomalies. We suggest that the detection of anomalies in online social networks is composed of two sub-processes; the selection and calculation of network features, and the classification of observations from this feature space. In addition, this paper provides an overview of the types of problems that anomaly detection can address and identifies key areas of future research.
arXiv:1608.00301v1 fatcat:fwdnk2bdzvhyrnnntbb65ao6d4

Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning [article]

Qin Hu, Shengling Wang, Zeihui Xiong, Xiuzhen Cheng
2021 arXiv   pre-print
Xiuzhen Cheng received her M.S. and Ph.D. degrees in computer science from the University of Minnesota Twin Cities in 2000 and 2002. TABLE 1 1 Summary of Notations.  ...  Shengling Wang is a full professor in the School of Artificial Intelligence, Beijing Normal University. She received her Ph.D. in 2008 from Xian Jiaotong University.  ... 
arXiv:2110.08330v1 fatcat:luzonk2dnrg5zkj3ushrn4yqlm

Social Big Data: Mining, Applications, and Beyond

Xiuzhen Zhang, Shuliang Wang, Gao Cong, Alfredo Cuzzocrea
2019 Complexity  
doi:10.1155/2019/2059075 fatcat:5bpwjdp7jrhr5ittr436bvxtvq

Detection of opinion spam based on anomalous rating deviation [article]

David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Chou, Qingmai Wang
2016 arXiv   pre-print
A similar approach is also proposed in Wang et al. (2012) , however this study deals with reviews of retail stores, which can change in quality over time, requiring the timing of reviews to be taken into  ... 
arXiv:1608.00684v1 fatcat:2nlws632qzc2bnrgxuy5mysrpa

Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm [article]

Xidi Qu, Shengling Wang, Qin Hu, Xiuzhen Cheng
2019 arXiv   pre-print
Proof of work (PoW), the most popular consensus mechanism for Blockchain, requires ridiculously large amounts of energy but without any useful outcome beyond determining accounting rights among miners. To tackle the drawback of PoW, we propose a novel energy-recycling consensus algorithm, namely proof of federated learning (PoFL), where the energy originally wasted to solve difficult but meaningless puzzles in PoW is reinvested to federated learning. Federated learning and pooled-ming, a trend
more » ... f PoW, have a natural fit in terms of organization structure. However, the separation between the data usufruct and ownership in Blockchain lead to data privacy leakage in model training and verification, deviating from the original intention of federal learning. To address the challenge, a reverse game-based data trading mechanism and a privacy-preserving model verification mechanism are proposed. The former can guard against training data leakage while the latter verifies the accuracy of a trained model with privacy preservation of the task requester's test data as well as the pool's submitted model. To the best of our knowledge, our paper is the first work to employ federal learning as the proof of work for Blockchain. Extensive simulations based on synthetic and real-world data demonstrate the effectiveness and efficiency of our proposed mechanisms.
arXiv:1912.11745v1 fatcat:6y23dyqn4vew7ix4ulosxi4gby

Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing [article]

Qin Hu, Zhilin Wang, Minghui Xu, Xiuzhen Cheng
2021 arXiv   pre-print
Hu and Zhilin Wang are with the Department of Computer and Information Science, Indiana University-Purdue University Indianapolis, USA.  ...  E-mail: {qinhu,wangzhil}@iu.edu Minghui Xu and Xiuzhen Cheng are with the School of Computer Science and Technology, Shandong University, China.  ... 
arXiv:2110.08671v1 fatcat:fpnp3vfhhbb4fowpjgdciamzou

A Misreport- and Collusion-Proof Crowdsourcing Mechanism without Quality Verification [article]

Kun Li, Shengling Wang, Xiuzhen Cheng, Qin Hu
2020 arXiv   pre-print
. • Xiuzhen Cheng is with School of Computer Science and Technology, Shandong University (SDU), China.  ...  • Kun Li and Shengling Wang (Corresponding author) are with School of Artificial Intelligence, Beijing Normal University (BNU), China.  ... 
arXiv:2003.11814v1 fatcat:h5cw4b5btngr5bvv4entppj24y

Synoptic-scale characteristics and atmospheric controls of summer heat waves in China

Weiwen Wang, Wen Zhou, Xiuzhen Li, Xin Wang, Dongxiao Wang
2015 Climate Dynamics  
2013; Wang et al. 2006; Wang and Chen 2012; Yuan et al. 2012 ).  ...  et al. 2013 Wang et al. , 2014 You et al. 2010) .  ... 
doi:10.1007/s00382-015-2741-8 fatcat:df6t6m7mfrcrpetvkhcndeesau

Routing in pocket switched networks

Shengling Wang, Min Liu, Xiuzhen Cheng, Min Song
2012 IEEE wireless communications  
BIOGRAPHIES SHENGLING WANG (wangshengling@ict.ac.cn) received her Ph.D. degree in computer science from Xi'an Jiaotong University, China, in 2008.  ...  XIUZHEN CHENG [M] (cheng@gwu.edu) received her M.S. and Ph.D. degrees in computer science from the University of Minnesota Twin Cities in 2000 and 2002, respectively.  ... 
doi:10.1109/mwc.2012.6155878 fatcat:izjhkg3tezfafkw73mzylduzw4

Machine Learning Methods in Drug Discovery

Lauv Patel, Tripti Shukla, Xiuzhen Huang, David W. Ussery, Shanzhi Wang
2020 Molecules  
Wang et al. investigated drug-target interactions and integrated information obtained from published research of various source to enhance the prediction.  ... 
doi:10.3390/molecules25225277 pmid:33198233 fatcat:xlc7ystwjzdkveob74rvkuvfpy

Hypoxia-reoxygenation treatment attenuates gestational diabetes mellitus

Xiuzhen Hou, Junfeng Zhang, Hehong Ma, Ming Li, Pei Wang
2020 Endocrine Connections  
Oxidative stress leads to insulin resistance and gestational diabetes mellitus (GDM). The nuclear factor erythroid 2-related factor 2 (Nrf2) / heme oxygenase-1 (HO-1) signaling is an important anti-oxidative stress pathway, which can be activated by hypoxia‑reoxygenation (H/R) treatment. We aimed to demonstrate the effects of H/R treatment on GDM symptoms as well as reproductive outcomes. Methods: Pregnant C57BL/KsJ db/+ mice were used as a genetic GDM model. Plasma insulin and other
more » ... indexes of plasma, insulin sensitivity, glucose intolerance, blood glucose and liver biochemical indexes were evaluated. Protein abundance of HO-1 and Nrf2 were assessed with Western blot. Results: H/R treatment markedly ameliorated β-cell insufficiency and glucose intolerance, suppressed oxidative stress in vivo, stimulated the activities of anti-oxidant enzymes, and led to improved reproductive outcomes. The beneficial effects of H/R treatment were mechanistically mediated via the restoration of Nrf2/HO-1 anti-oxidant signaling pathway in the liver of GDM mice. Conclusion: Our study, for the first time, suggests that H/R treatment is a potentially novel therapeutic approach against GDM symptoms, by activating the Nrf2/HO-1 signaling pathway and inhibiting oxidative stress.
doi:10.1530/ec-20-0555 fatcat:xdrychfbyva6tfjfsnq3gjgh34

Tetramethylpyrazine attenuates periorbital allodynia and neuroinflammation in a model of traumatic brain injury

Zhijing Wang, Qi Wang, Cuijie Wang, Xiuzhen Xu, Hongmei Yu
2017 Journal of Inflammation  
Traumatic brain injury (TBI) is a public health issue. As the major complaint in 51% of TBI patients, chronic pain is an important aspect in TBI treatment. Tetramethylpyrazine (TMP) is an important compound in Ligustrazine, an analgesic drug in traditional Chinese medicine, but its potential in relieving pain symptom in TBI has not been tested. We established a TBI mouse model with controlled cortical impact (CCI), and measured periorbital hypersensitivity with von Frey monofilaments. We
more » ... d activated microglia and astrocytes and the levels of substance P (SP) and inducible isoform of nitric oxide synthase (iNOS) with immunohistochemistry, measured mRNA and protein levels of proinflammatory cytokines with qPCR and enzyme-linked immunosorbent assay, respectively. Western blot was employed to detect molecules in NF-κB signaling pathway. Results: TMP significantly attenuated periorbital hypersensitivity in TBI mice. Within 3 days after CCI, TMP attenuated activation of microglia and astrocytes, levels of SP, iNOS, and CGRP in trigeminal pathway, and levels of proinflammatory cytokines (including IL-6, TNF-α, IL-12). In isolated microglia, TMP attenuated the effects of lipopolysaccharide on the phosphorylation of cytoplasmic IKKα/β and IKB-α, and levels of nucleic p65. Conclusion: TMP reversed periorbital hypersensitivity by limiting neuroinflammation at the primary stage of TBI, and could be a promising drug for pain treatment in TBI.
doi:10.1186/s12950-017-0161-8 pmid:28603455 pmcid:PMC5465454 fatcat:vf3yymzgqbeodkhnk3qagw6hia

Riesz theorem in probabilistic inner product spaces

Yongfu Su, Xiuzhen Wang, Junyu Gao
2007 International Mathematical Forum  
The purpose of this paper is to establish the Riesz theorem of linear continuous functional in the probabilistic inner spaces. In order to establish the Riesz theorem, a new method was presented in this paper, that is method of mathematical expectation. Mathematics Subject Classification: 50A30; 60E05
doi:10.12988/imf.2007.07280 fatcat:cpyluab4p5gupjve4ghpxcraqy

Detection of money laundering groups using supervised learning in networks [article]

David Savage, Qingmai Wang, Pauline Chou, Xiuzhen Zhang, Xinghuo Yu
2016 arXiv   pre-print
More recently, Wang et al. describe an alternative rulesbased system, where rules are encoded using a decision tree [23] .  ...  A wavelet-based algorithm was used for this, which has previously been shown to outperform alternative algorithms in detecting both local and global bursts (Wang, in press).  ... 
arXiv:1608.00708v1 fatcat:xq4tfzydxbchtgcc4vqjwbr6la
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