His scientific interests lie mostly in Data mining, k-nearest neighbors algorithm, Nearest neighbor search, Artificial intelligence and Information system. His research in Data mining intersects with topics in Data stream and Pruning. His k-nearest neighbors algorithm research integrates issues from Algorithm and Range query.
In the subject of general Algorithm, his work in Tree is often linked to Fixed-radius near neighbors, thereby combining diverse domains of study. His Nearest neighbor search research is multidisciplinary, relying on both Hash join, Sort-merge join, Overhead and Aggregate. His Artificial intelligence research includes elements of Natural language processing, Machine learning and Pattern recognition.
His primary scientific interests are in Artificial intelligence, Data mining, Information system, Natural language processing and Algorithm. The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence. He has researched Data mining in several fields, including Object, Process, Search engine indexing and k-nearest neighbors algorithm.
His work on Nearest neighbor search expands to the thematically related k-nearest neighbors algorithm. Rui Zhang performs multidisciplinary studies into Information system and World Wide Web in his work. His research on Algorithm focuses in particular on Computation.
Rui Zhang focuses on Artificial intelligence, Natural language processing, Deep learning, Algorithm and Theoretical computer science. His work on F1 score as part of general Artificial intelligence research is often related to Generalization, thus linking different fields of science. His Natural language processing research incorporates elements of Named-entity recognition, Utterance and Substring.
His study in Algorithm is interdisciplinary in nature, drawing from both Convolution and Curse of dimensionality. His biological study spans a wide range of topics, including Binary logarithm, Heuristics, Robustness and Graph. His work carried out in the field of Noise brings together such families of science as Recommender system and Data mining.
Rui Zhang mostly deals with Artificial intelligence, Natural language processing, Machine learning, Deep learning and F1 score. His study looks at the intersection of Artificial intelligence and topics like Computer vision with Frame and Process. His work in the fields of Lexical similarity, Semantic similarity and Realization overlaps with other areas such as Transition.
Rui Zhang interconnects Encoder, BLEU, Sentence, Sentence generation and Decoding methods in the investigation of issues within Machine learning. His Deep learning research is multidisciplinary, incorporating perspectives in Information extraction, Clinical trial and Disease. His work in F1 score covers topics such as Memory module which are related to areas like 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.
iDistance: An adaptive B + -tree based indexing method for nearest neighbor search
H. V. Jagadish;Beng Chin Ooi;Kian-Lee Tan;Cui Yu.
ACM Transactions on Database Systems (2005)
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction
A. Y. Xue;Rui Zhang;Yu Zheng;Xing Xie.
international conference on data engineering (2013)
Identifying at-risk students in massive open online courses
Jiazhen He;James Bailey;Benjamin I. P. Rubinstein;Rui Zhang.
national conference on artificial intelligence (2015)
The V*-Diagram: a query-dependent approach to moving KNN queries
Sarana Nutanong;Rui Zhang;Egemen Tanin;Lars Kulik.
very large data bases (2008)
Effective Density Queries on ContinuouslyMoving Objects
C.S. Jensen;D. Lin;Beng Chin Ooi;Rui Zhang.
international conference on data engineering (2006)
Inertial Sensor Based Indoor Localization and Monitoring System for Emergency Responders
Rui Zhang;F. Hoflinger;L. Reindl.
IEEE Sensors Journal (2013)
Multiple aggregations over data streams
Rui Zhang;Nick Koudas;Beng Chin Ooi;Divesh Srivastava.
international conference on management of data (2005)
Entity Alignment between Knowledge Graphs Using Attribute Embeddings
Bayu Distiawan Trisedya;Jianzhong Qi;Rui Zhang.
national conference on artificial intelligence (2019)
Approximate NN queries on streams with guaranteed error/performance bounds
Nick Koudas;Beng Chin Ooi;Kian-Lee Tan;Rui Zhang.
very large data bases (2004)
A Wireless Micro Inertial Measurement Unit (IMU)
Fabian Hoflinger;Jorg Muller;Rui Zhang;Leonhard M. Reindl.
IEEE Transactions on Instrumentation and Measurement (2013)
Profile was last updated on December 6th, 2021.
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