Dan Wang

ORCID: 0000-0002-8132-9785
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About
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Research Areas
  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Adversarial Robustness in Machine Learning
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Control Systems Optimization
  • Cannabis and Cannabinoid Research
  • RNA and protein synthesis mechanisms
  • Brake Systems and Friction Analysis
  • Vehicle Dynamics and Control Systems
  • Advanced Sensor and Control Systems
  • Management and Organizational Practices
  • Neuroscience and Neuropharmacology Research
  • Business Strategy and Innovation
  • Genomics and Chromatin Dynamics
  • Marketing and Advertising Strategies
  • Industrial Technology and Control Systems
  • Auction Theory and Applications
  • Cancer Genomics and Diagnostics
  • Cancer, Lipids, and Metabolism
  • Analytical Chemistry and Chromatography
  • Advanced Neural Network Applications
  • Pharmacological Effects of Natural Compounds
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

China Pharmaceutical University
2024

Central South University
2009-2024

Ministry of Public Security of the People's Republic of China
2024

Aviation Industry Corporation of China (China)
2024

Shenyang University
2024

Hunan Cancer Hospital
2022-2023

Xiangya Hospital Central South University
2020

PharmacoGenetics (China)
2010

Xiaomi (China)
2000

As the computing paradigm shifts from cloud to end-edge-cloud computing, it also supports artificial intelligence evolving a centralized manner distributed one. In this paper, we provide comprehensive survey on (DAI) empowered by (EECC), where heterogeneous capabilities of on-device edge and are orchestrated satisfy diverse requirements raised resource-intensive AI computation. Particularly, first introduce several mainstream paradigms benefits EECC in supporting AI, as well fundamental...

10.1109/comst.2022.3218527 article EN IEEE Communications Surveys & Tutorials 2022-11-04

Differential privacy (DP) has gained popularity in truth discovery recently due to its strong guarantee. However, existing DP mechanisms for streaming data publication are not suitable as they fail consider the different reliabilities of individuals, while DP-based approaches because ignore correlations between truths over time. Directly applying these methods crowdsourced would lead low accuracy discovered truth. To solve this problem, paper, we propose an edge computing based...

10.1109/tmc.2021.3062775 article EN IEEE Transactions on Mobile Computing 2021-03-01

Privacy protection and incentive mechanism are two fundamental problems in federated learning (FL), which aim at protecting the privacy of data owners stimulating them to share more resources, respectively. Recent works have proposed differential (DP) based privacy-preserving mechanisms solve both simultaneously. However, almost all took level as only item, without considering other factors, such quantity quality. Moreover, an untrusted server can further infer sensitive information from...

10.1109/tc.2022.3230904 article EN IEEE Transactions on Computers 2022-01-01

Animal medicine is an important part in traditional Tibetan medicine. However, information about the chemical composition of animal very limited, and there a lack comprehensive chromatographic purification methods. In present work, Osteon Myospalacem Baileyi was taken as example novel two-dimensional preparative method established for preparation single compounds with high purity from extract Baileyi. The first-dimension carried on DAISO Silica prep column, ten fractions were obtained 112.3...

10.1002/jssc.201400564 article EN Journal of Separation Science 2014-08-21

Differential privacy (DP) has been recognized as a useful technique to achieve the trade-off between guarantee and data utility. However, applying DP on continuous stream protect sensitive inferred information faces two significant challenges. Firstly, directly adding noise into may significantly reduce Secondly, it is difficult effectively efficiently sample since distribution of usually unknown in advance. In this paper, we propose PrivStream, privacy-preserving IoT analytical framework...

10.1109/hpcc/smartcity/dss.2019.00180 article EN 2019-08-01

Abstract Background Nasopharyngeal carcinoma (NPC) is a prevalent head and neck malignancy in Southeast Asia. Radiotherapy the primary clinical treatment for NPC, but radiotherapy resistance stands as fundamental reason failure patient mortality. Nevertheless, mechanism underlying NPC remains elusive. Methods The expression of circADARB1 tissues was examined by quantitative real-time polymerase chain reaction situ hybridization. Colonies assay, MTT, ROS lipid peroxidation level measurement,...

10.21203/rs.3.rs-3495717/v1 preprint EN cc-by Research Square (Research Square) 2023-10-30

Mine disaster system has the typical non-linear features. The traditional, previously function-setting evaluation methods and prediction have appeared their limitations. BP neural network, with nonlinear dynamic characteristics, eliminated drift value brought about by man-made factors during weight determination using previous method. It is a promising natural safe-forecasting First, obtain network parameters meets convergence conditions through studying known samples. Then them as...

10.1109/iccse.2009.5228478 article EN 2009-07-01
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