2018 - ACM Distinguished Member
2018 - ACM Senior Member
Data mining, Database, Tuple, Scalability and Theoretical computer science are his primary areas of study. He combines subjects such as SPARQL and Artificial intelligence with his study of Data mining. In the field of Artificial intelligence, his study on Deep learning overlaps with subjects such as Root cause analysis.
His Database research incorporates themes from Time complexity, Algorithm, Algorithm design, Cryptographic primitive and Spatial query. Feifei Li has included themes like Task, Data processing and Data set in his Scalability study. His Theoretical computer science research is multidisciplinary, incorporating elements of Plaintext, Encryption, Cloud computing, Computer security model and Partition.
His primary areas of investigation include Data mining, Database, Scalability, Cloud computing and Information retrieval. His research on Data mining focuses in particular on Query optimization. His work carried out in the field of Query optimization brings together such families of science as Web query classification and Sargable.
His Database study combines topics in areas such as Overhead and Server. The Scalability study combines topics in areas such as Data management and Big data. His studies examine the connections between Ranking and genetics, as well as such issues in Ranking, with regards to Probabilistic logic.
Feifei Li mainly focuses on Database, Cloud computing, Data mining, Artificial intelligence and Overhead. His Database study combines topics from a wide range of disciplines, such as Blockchain, Associative array and Hotspot. The study incorporates disciplines such as Scalability, SQL and Online analytical processing in addition to Cloud computing.
His Analytics study in the realm of Data mining connects with subjects such as Popularity. In his study, Attenuation and Coding is inextricably linked to Pattern recognition, which falls within the broad field of Artificial intelligence. His research integrates issues of Data modeling, Data compression and Compression in his study of Overhead.
His primary scientific interests are in Database, Cloud computing, Database transaction, Transaction processing and Online transaction processing. Feifei Li interconnects Distributed ledger and Blockchain in the investigation of issues within Database. His Cloud computing research incorporates elements of Scalability, Distributed computing, Online analytical processing and Asynchronous communication.
As part of his studies on Scalability, Feifei Li frequently links adjacent subjects like Autoscaling. Feifei Li combines subjects such as Recommender system, Ranking, Information retrieval and Pairwise comparison with his study of Database transaction. His biological study spans a wide range of topics, including Big data, E-commerce, Transactions per second and Cache.
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.
Approximate aggregation techniques for sensor databases
J. Considine;F. Li;G. Kollios;J. Byers.
international conference on data engineering (2004)
Dynamic authenticated index structures for outsourced databases
Feifei Li;Marios Hadjieleftheriou;George Kollios;Leonid Reyzin.
international conference on management of data (2006)
DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning
Min Du;Feifei Li;Guineng Zheng;Vivek Srikumar.
computer and communications security (2017)
On trip planning queries in spatial databases
Feifei Li;Dihan Cheng;Marios Hadjieleftheriou;George Kollios.
symposium on large spatial databases (2005)
Efficient parallel kNN joins for large data in MapReduce
Chi Zhang;Feifei Li;Jeffrey Jestes.
extending database technology (2012)
Finding frequent items in probabilistic data
Qin Zhang;Feifei Li;Ke Yi.
international conference on management of data (2008)
NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads
Seth H. Pugsley;Jeffrey Jestes;Huihui Zhang;Rajeev Balasubramonian.
international symposium on performance analysis of systems and software (2014)
Secure nearest neighbor revisited
Bin Yao;Feifei Li;Xiaokui Xiao.
international conference on data engineering (2013)
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Graham Cormode;Feifei Li;Ke Yi.
international conference on data engineering (2009)
Simba: Efficient In-Memory Spatial Analytics
Dong Xie;Feifei Li;Bin Yao;Gefei Li.
international conference on management of data (2016)
Profile was last updated on December 6th, 2021.
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