Rutgers, The State University of New Jersey
2020 - IEEE Fellow For his outstanding contributions to data mining and mobile computing
2020 - Fellow of the American Association for the Advancement of Science (AAAS)
2014 - ACM Distinguished Member
2010 - ACM Senior Member
His scientific interests lie mostly in Data mining, Recommender system, Artificial intelligence, World Wide Web and Machine learning. His Data mining research is multidisciplinary, relying on both Property, Measure, Data set and Cluster analysis. His Recommender system research incorporates themes from Topic model, Point of interest, Preference and Mobile device.
His work in the fields of Word, Statistical model and Knowledge extraction overlaps with other areas such as Multiple source. His World Wide Web research integrates issues from Exploit, Field and Key. His Machine learning research focuses on Classifier and how it relates to Supercomputer, Support vector machine and Semi-supervised learning.
His primary scientific interests are in Artificial intelligence, Data mining, Machine learning, Cluster analysis and Information retrieval. The Artificial intelligence study combines topics in areas such as Natural language processing and Pattern recognition. As a part of the same scientific study, Hui Xiong usually deals with the Data mining, concentrating on Graph and frequently concerns with Graph.
Machine learning is closely attributed to Classifier in his work. Particularly relevant to Recommender system is his body of work in Information retrieval. His Recommender system study necessitates a more in-depth grasp of World Wide Web.
Hui Xiong mainly investigates Artificial intelligence, Machine learning, Graph, Data mining and Recommender system. His work on Deep learning, Embedding and Representation as part of his general Artificial intelligence study is frequently connected to Modal, thereby bridging the divide between different branches of science. His study in the field of Regularization, Cluster analysis, Artificial neural network and Reinforcement learning is also linked to topics like Clear-air turbulence.
His research in Graph tackles topics such as Graph which are related to areas like Convolution and Algorithm. His research in Data mining intersects with topics in Fuzzy clustering, Graph neural networks, Traffic flow, Parking guidance and information and Data set. His Recommender system study is related to the wider topic of Information retrieval.
His primary areas of investigation include Artificial intelligence, Information retrieval, Recommender system, Graph and Data science. His studies link Machine learning with Artificial intelligence. The various areas that Hui Xiong examines in his Information retrieval study include Feature, Transportation planning, Mode, Deep learning and Feature learning.
His research on Recommender system also deals with topics like
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.
Understanding of Internal Clustering Validation Measures
Yanchi Liu;Zhongmou Li;Hui Xiong;Xuedong Gao.
international conference on data mining (2010)
Discovering colocation patterns from spatial data sets: a general approach
Y. Huang;S. Shekhar;H. Xiong.
IEEE Transactions on Knowledge and Data Engineering (2004)
Encyclopedia of GIS
Shashi Shekhar;Hui Xiong.
Learning geographical preferences for point-of-interest recommendation
Bin Liu;Yanjie Fu;Zijun Yao;Hui Xiong.
knowledge discovery and data mining (2013)
Preserving privacy in gps traces via uncertainty-aware path cloaking
Baik Hoh;Marco Gruteser;Hui Xiong;Ansaf Alrabady.
computer and communications security (2007)
Discovering Urban Functional ZonesUsing Latent Activity Trajectories
Nicholas Jing Yuan;Yu Zheng;Xing Xie;Yingzi Wang.
IEEE Transactions on Knowledge and Data Engineering (2015)
An energy-efficient mobile recommender system
Yong Ge;Hui Xiong;Alexander Tuzhilin;Keli Xiao.
knowledge discovery and data mining (2010)
Enhancing Security and Privacy in Traffic-Monitoring Systems
B. Hoh;M. Gruteser;H. Xiong;A. Alrabady.
IEEE Pervasive Computing (2006)
K-Means Clustering Versus Validation Measures: A Data-Distribution Perspective
Hui Xiong;Junjie Wu;Jian Chen.
systems man and cybernetics (2009)
Introduction to special section on intelligent mobile knowledge discovery and management systems
Hui Xiong;Shashi Shekhar;Alexander Tuzhilin.
ACM Transactions on Intelligent Systems and Technology (2014)
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