The scientist’s investigation covers issues in Data mining, Differential privacy, Database, Correctness and Information retrieval. His Data mining study incorporates themes from Histogram, Noise and Theoretical computer science. His studies in Differential privacy integrate themes in fields like Point and Focus.
Yin Yang has researched Database in several fields, including Overhead, Range query and Search engine indexing. In Search engine indexing, he works on issues like Object, which are connected to Task. His research investigates the connection with Information retrieval and areas like World Wide Web which intersect with concerns in Semantic data model.
His primary scientific interests are in Data mining, Differential privacy, Theoretical computer science, Search engine indexing and Artificial neural network. His Data mining research incorporates themes from Algorithm, Noise, Focus and Cluster analysis. His Differential privacy research includes elements of Optimization problem, Information privacy and Query optimization.
In the subject of general Theoretical computer science, his work in PageRank is often linked to Node and Rank, thereby combining diverse domains of study. His Search engine indexing research includes themes of Overhead, Database, Correctness, k-nearest neighbors algorithm and Computation. His studies examine the connections between Database and genetics, as well as such issues in Data stream mining, with regards to Tuple.
His primary areas of investigation include Artificial neural network, Memristor, Computer engineering, Convolutional neural network and Theoretical computer science. In his study, Optimal control and Dynamic programming is inextricably linked to Nonlinear system, which falls within the broad field of Artificial neural network. As part of the same scientific family, Yin Yang usually focuses on Computer engineering, concentrating on Categorization and intersecting with Model compression and State.
His Convolutional neural network research is multidisciplinary, relying on both Kernel and Computer vision. His work in Theoretical computer science addresses issues such as Correctness, which are connected to fields such as Similarity. His Cluster analysis research focuses on Solver and how it relates to Algorithm and Scalability.
His primary areas of study are Computer engineering, Artificial neural network, Memristor, Algorithm and Convolutional neural network. His Computer engineering research incorporates elements of Encoding, Transformer, Categorization, Sigmoid function and Activation function. His research integrates issues of Upper and lower bounds, Hamilton–Jacobi–Bellman equation, Nonlinear system and Kernel in his study of Artificial neural network.
His Memristor research incorporates elements of Convolution, Distribution, Value and Layer. His studies deal with areas such as Embedding, Pairwise comparison, Feature vector and PageRank as well as Algorithm. The study incorporates disciplines such as Pooling, Pruning and Deep neural networks in addition to Convolutional neural network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Differentially private histogram publication
Jia Xu;Zhenjie Zhang;Xiaokui Xiao;Yin Yang.
very large data bases (2013)
Functional mechanism: regression analysis under differential privacy
Jun Zhang;Zhenjie Zhang;Xiaokui Xiao;Yin Yang.
very large data bases (2012)
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
Zhan Qin;Yin Yang;Ting Yu;Issa Khalil.
computer and communications security (2016)
Authenticated join processing in outsourced databases
Yin Yang;Dimitris Papadias;Stavros Papadopoulos;Panos Kalnis.
international conference on management of data (2009)
Differentially Private Histogram Publication
Jia Xu;Zhenjie Zhang;Xiaokui Xiao;Yin Yang.
international conference on data engineering (2012)
Authenticated indexing for outsourced spatial databases
Yin Yang;Stavros Papadopoulos;Dimitris Papadias;George Kollios.
very large data bases (2009)
Differential privacy in data publication and analysis
Yin Yang;Zhenjie Zhang;Gerome Miklau;Marianne Winslett.
international conference on management of data (2012)
Query by document
Yin Yang;Nilesh Bansal;Wisam Dakka;Panagiotis Ipeirotis.
web search and data mining (2009)
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy
Thông T. Nguyên;Xiaokui Xiao;Yin Yang;Siu Cheung Hui.
arXiv: Databases (2016)
Collecting and analyzing multidimensional data with local differential privacy
N Wang;X Xiao;Y Yang;J Zhao.
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