What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
Ling Liu mainly focuses on Data mining, Computer security, Computer network, Cloud computing and Scalability.
His Data mining research includes elements of Theoretical computer science, RDF and Cluster analysis.
His studies deal with areas such as Overlay network, Use case and Resilience as well as Computer security.
His Computer network research is multidisciplinary, relying on both Scheme and Bottleneck.
His work carried out in the field of Cloud computing brings together such families of science as Virtual machine, Scheduling, Distributed computing and Server.
His research integrates issues of Real-time computing and Peer-to-peer in his study of Scalability.
His most cited work include:
- PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities (1593 citations)
- Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms (717 citations)
- Location Privacy in Mobile Systems: A Personalized Anonymization Model (624 citations)
What are the main themes of his work throughout his whole career to date?
Ling Liu mainly investigates Data mining, Distributed computing, Scalability, Computer network and Cloud computing.
His research in Data mining intersects with topics in Theoretical computer science and Cluster analysis, Search engine indexing, Artificial intelligence.
His Distributed computing research is multidisciplinary, incorporating elements of The Internet and Server.
His research is interdisciplinary, bridging the disciplines of Real-time computing and Scalability.
His Computer network research integrates issues from Computer security and Overlay network.
His studies in Cloud computing integrate themes in fields like Virtual machine, Scheduling and Provisioning.
He most often published in these fields:
- Data mining (14.80%)
- Distributed computing (13.61%)
- Scalability (12.42%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (8.98%)
- Machine learning (5.68%)
- Deep learning (3.17%)
In recent papers he was focusing on the following fields of study:
Ling Liu focuses on Artificial intelligence, Machine learning, Deep learning, Artificial neural network and Differential privacy.
The various areas that Ling Liu examines in his Deep learning study include Distributed computing, Private information retrieval, Mobile Web, Deception and Server.
The Distributed computing study combines topics in areas such as Node, The Internet and Memory management.
Server is a subfield of Computer network that Ling Liu investigates.
His Differential privacy study is focused on Data mining in general.
Ling Liu interconnects Database transaction, Metric space, Convolutional neural network and Ordinal data in the investigation of issues within Data mining.
Between 2018 and 2021, his most popular works were:
- Security and Privacy on Blockchain (116 citations)
- Macrophage de novo NAD+ synthesis specifies immune function in aging and inflammation. (92 citations)
- Differentially Private Model Publishing for Deep Learning (52 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
Ling Liu spends much of his time researching Artificial intelligence, Machine learning, Deep learning, Differential privacy and Data mining.
His Artificial intelligence research is multidisciplinary, relying on both CUDA and Data science.
His study in the field of Artificial neural network is also linked to topics like Empirical evidence.
His work is dedicated to discovering how Deep learning, Private information retrieval are connected with Data modeling and other disciplines.
His Data mining research incorporates elements of Data collection, Database transaction, Ordinal data, Metric space and Information privacy.
His study in Use case extends to Computer security with its themes.
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