Juanzi Li spends much of his time researching Artificial intelligence, Information retrieval, World Wide Web, Social media and Social network. His biological study spans a wide range of topics, including Machine learning and Natural language processing. His studies in Information retrieval integrate themes in fields like Context and Support vector machine.
His study in the fields of Microblogging under the domain of Social media overlaps with other disciplines such as Leverage. His research integrates issues of Legal expert system, Baseline and Knowledge management in his study of Social network. He has included themes like The Internet, Publication data and Association in his Information extraction study.
His main research concerns Artificial intelligence, Information retrieval, Natural language processing, Data mining and World Wide Web. Juanzi Li regularly links together related areas like Machine learning in his Artificial intelligence studies. Juanzi Li combines topics linked to Cluster analysis with his work on Information retrieval.
His Topic model research also works with subjects such as
Juanzi Li mainly focuses on Artificial intelligence, Knowledge graph, Machine learning, Natural language processing and Data mining. His Artificial intelligence study combines topics in areas such as Event, Source code and Code. His work on Event is being expanded to include thematically relevant topics such as Information retrieval.
His Machine learning research includes elements of Training set and Open domain. His Language model study in the realm of Natural language processing connects with subjects such as Resource, Large scale data and Information repository. His work on Partition as part of general Data mining research is frequently linked to Voting, thereby connecting diverse disciplines of science.
His primary scientific interests are in Artificial intelligence, Natural language processing, Information retrieval, Scale and Language model. As part of his studies on Artificial intelligence, Juanzi Li frequently links adjacent subjects like Machine learning. His Natural language processing study typically links adjacent topics like Data type.
His work deals with themes such as Domain, Event and Crowdsourcing, which intersect with Information retrieval. Combining a variety of fields, including Scale, Knowledge base, Paraphrase, Complex question, Code and Conversation, are what the author presents in his essays. The various areas that Juanzi Li examines in his Language model study include Generative grammar and Benchmark.
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.
ArnetMiner: extraction and mining of academic social networks
Jie Tang;Jing Zhang;Limin Yao;Juanzi Li.
knowledge discovery and data mining (2008)
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
Juanzi Li;Jie Tang;Yi Li;Qiong Luo.
IEEE Transactions on Knowledge and Data Engineering (2009)
Understanding retweeting behaviors in social networks
Zi Yang;Jingyi Guo;Keke Cai;Jie Tang.
conference on information and knowledge management (2010)
Expert Finding in a Social Network
Jing Zhang;Jie Tang;Juanzi Li.
database systems for advanced applications (2007)
Using Bayesian decision for ontology mapping
Jie Tang;Juanzi Li;Bangyong Liang;Xiaotong Huang.
Journal of Web Semantics (2006)
Social influence locality for modeling retweeting behaviors
Jing Zhang;Biao Liu;Jie Tang;Ting Chen.
international joint conference on artificial intelligence (2013)
Keyword extraction using support vector machine
Kuo Zhang;Hui Xu;Jie Tang;Juanzi Li.
web-age information management (2006)
Knowledge discovery through directed probabilistic topic models: a survey
Ali Daud;Juanzi Li;Lizhu Zhou;Faqir Muhammad.
Frontiers of Computer Science (2010)
OpenKE: An Open Toolkit for Knowledge Embedding
Xu Han;Shulin Cao;Xin Lv;Yankai Lin.
empirical methods in natural language processing (2018)
Typicality-Based Collaborative Filtering Recommendation
Yi Cai;Ho-fung Leung;Qing Li;Huaqing Min.
IEEE Transactions on Knowledge and Data Engineering (2014)
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