Artificial intelligence, Data mining, World Wide Web, Machine learning and Computer security are his primary areas of study. His Pattern recognition research extends to Artificial intelligence, which is thematically connected. His Data mining research integrates issues from Consistency and Scalability.
As part of the same scientific family, Yanchun Zhang usually focuses on Machine learning, concentrating on Survivability and intersecting with AdaBoost, Predictive modelling, Outlier and Random forest. His work on Access control and Data security is typically connected to Reuse as part of general Computer security study, connecting several disciplines of science. His research integrates issues of Web intelligence and Information retrieval in his study of Web mapping.
His main research concerns Artificial intelligence, Data mining, Pattern recognition, World Wide Web and Information retrieval. His research on Artificial intelligence frequently connects to adjacent areas such as Machine learning. His research on Data mining frequently links to adjacent areas such as Cluster analysis.
Web modeling, Web intelligence, Web development, The Internet and Web navigation are subfields of World Wide Web in which his conducts study. His study in Web modeling is interdisciplinary in nature, drawing from both Web standards, Web design and Data Web. He has researched Data Web in several fields, including Social Semantic Web, Web mining and Semantic Web Stack.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Deep learning, Machine learning and Feature extraction. His work deals with themes such as Identification and Natural language processing, which intersect with Artificial intelligence. The study incorporates disciplines such as Heartbeat, Frequency domain, Feature and Complex network in addition to Pattern recognition.
His work carried out in the field of Deep learning brings together such families of science as Social media and Fundus. His Social media research includes elements of Information retrieval and Data science. His research combines Graph and Machine learning.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Feature extraction, Support vector machine and Natural language processing. His Artificial intelligence research incorporates themes from Machine learning and Identification. His study in the field of Convolutional neural network and Classifier is also linked to topics like Signal processing and Hilbert–Huang transform.
His studies examine the connections between Classifier and genetics, as well as such issues in Arrhythmia detection, with regards to Data mining. His Feature extraction study deals with Feature intersecting with Scheme, Brain–computer interface and Linear discriminant analysis. The Deep learning study combines topics in areas such as Social media and Information retrieval.
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.
Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems
Chengzheng Sun;Xiaohua Jia;Yanchun Zhang;Yun Yang.
ACM Transactions on Computer-Human Interaction (1998)
Algorithms and Techniques
Guandong Xu;Yanchun Zhang;Lin Li.
Frontiers of WWW Research and Development - APWeb 2006
Xiaofang Zhou;Jianzhong Li;Heng Tao Shen;Masaru Kitsuregawa.
Web service composition with case-based reasoning
Benchaphon Limthanmaphon;Yanchun Zhang.
australasian database conference (2003)
Web Mining and Social Networking: Techniques and Applications
Guandong Xu;Yanchun Zhang;Lin Li.
Effectively finding relevant Web pages from linkage information
Jingyu Hou;Yanchun Zhang.
IEEE Transactions on Knowledge and Data Engineering (2003)
Advanced Web Technologies and Applications
Jeffrey Xu Yu;Xuemin Lin;Hongjun Lu;Yanchun Zhang.
An analytical evaluation of NIAM'S grammar for conceptual schema diagrams
Ron Weber;Yanchun Zhang.
Information Systems Journal (1996)
A flexible payment scheme and its role-based access control
Hua Wang;Jinli Cao;Yanchun Zhang.
IEEE Transactions on Knowledge and Data Engineering (2005)
Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating
Ahnaf Rashik Hassan;Siuly Siuly;Yanchun Zhang.
Computer Methods and Programs in Biomedicine (2016)
Profile was last updated on December 6th, 2021.
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