What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
His primary scientific interests are in Real-time computing, Wireless sensor network, Distributed computing, Server and Computer network.
The various areas that Jie Liu examines in his Real-time computing study include Efficient energy use, Semantic interpretation and Radar tracker.
His Wireless sensor network research is multidisciplinary, relying on both Scalability, Message passing, Key distribution in wireless sensor networks, Signal processing and Semantics.
His Distributed computing study combines topics in areas such as Component-based software engineering, Programming paradigm and Asynchronous communication.
The concepts of his Server study are interwoven with issues in Workload, Data center, Scheduling, Provisioning and Software quality.
His Computer network research incorporates elements of Wireless, ISM band and Redundancy.
His most cited work include:
- Taming heterogeneity - the Ptolemy approach (949 citations)
- Energy-aware server provisioning and load dispatching for connection-intensive internet services (605 citations)
- Virtual machine power metering and provisioning (488 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Real-time computing, Distributed computing, Wireless sensor network, Embedded system and Computer network.
Jie Liu has researched Real-time computing in several fields, including Computer hardware, Assisted GPS, Global Positioning System, Efficient energy use and Mobile device.
His Distributed computing study integrates concerns from other disciplines, such as Scheduling, Modeling and simulation and Programming paradigm.
His study in Wireless sensor network is interdisciplinary in nature, drawing from both Scalability, Key distribution in wireless sensor networks, Visual sensor network, Mobile wireless sensor network and Data center.
His research in Embedded system intersects with topics in Virtual machine, Cloud computing and Operating system.
He interconnects Wireless and The Internet in the investigation of issues within Computer network.
He most often published in these fields:
- Real-time computing (21.77%)
- Distributed computing (21.03%)
- Wireless sensor network (16.97%)
What were the highlights of his more recent work (between 2016-2020)?
- Cloud computing (11.07%)
- Artificial intelligence (7.75%)
- Set (5.54%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Cloud computing, Artificial intelligence, Set, Computer network and Server.
His work carried out in the field of Cloud computing brings together such families of science as Batch processing, Reliability, Field, Real-time computing and Multi-core processor.
The concepts of his Artificial intelligence study are interwoven with issues in Frame, Machine learning and Computer vision.
Jie Liu combines subjects such as GNSS applications, Global Positioning System and Database with his study of Set.
His work in the fields of Computer network, such as Wireless sensor network and Asynchronous communication, intersects with other areas such as Acceleration and Work in process.
His research investigates the link between Server and topics such as High availability that cross with problems in Risk analysis.
Between 2016 and 2020, his most popular works were:
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours (114 citations)
- The Microsoft Indoor Localization Competition: Experiences and Lessons Learned (84 citations)
- Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty (45 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
Jie Liu mainly investigates Wireless sensor network, Scalability, Contextual image classification, Artificial intelligence and Data science.
Wireless sensor network is a primary field of his research addressed under Computer network.
The various areas that Jie Liu examines in his Computer network study include Rural area, Universal Software Radio Peripheral and Orthogonal frequency-division multiplexing.
His studies in Scalability integrate themes in fields like White spaces and Physical layer.
As part of the same scientific family, Jie Liu usually focuses on Contextual image classification, concentrating on Latency and intersecting with Mobile device and Codebase.
His Data science study incorporates themes from Telecommunications and Satellite broadcasting.
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