What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His primary areas of investigation include Computer network, Wireless sensor network, Distributed computing, Delay-tolerant networking and Scheduling.
His research on Computer network frequently connects to adjacent areas such as WiMAX.
Liusheng Huang has included themes like Wireless network, Real-time computing, Throughput and Data collection in his Wireless sensor network study.
His study in Distributed computing is interdisciplinary in nature, drawing from both Wireless, Routing and Artificial intelligence.
The concepts of his Delay-tolerant networking study are interwoven with issues in Mobile social network, Mobile computing and Mobility model.
His research in Scheduling tackles topics such as Time division multiple access which are related to areas like Fixed-priority pre-emptive scheduling, Fair-share scheduling, Round-robin scheduling, Base station and Communication channel.
His most cited work include:
- Community-Aware Opportunistic Routing in Mobile Social Networks (169 citations)
- FACTS: A Framework for Fault-Tolerant Composition of Transactional Web Services (122 citations)
- WiFinger: talk to your smart devices with finger-grained gesture (113 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Distributed computing, Wireless sensor network, Computer security and Artificial intelligence.
He usually deals with Computer network and limits it to topics linked to Relay and Antenna diversity.
He has researched Distributed computing in several fields, including Scheduling, Algorithm design, Approximation algorithm and Mobile computing.
His work carried out in the field of Wireless sensor network brings together such families of science as Sensor node, Key distribution in wireless sensor networks, Mobile wireless sensor network, Real-time computing and Efficient energy use.
His research in Computer security intersects with topics in Scheme and Protocol.
He interconnects Natural language processing, Machine learning, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
He most often published in these fields:
- Computer network (33.78%)
- Distributed computing (22.37%)
- Wireless sensor network (14.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (9.40%)
- Computer network (33.78%)
- Differential privacy (3.80%)
In recent papers he was focusing on the following fields of study:
Liusheng Huang spends much of his time researching Artificial intelligence, Computer network, Differential privacy, Approximation algorithm and Distributed computing.
His Artificial intelligence study combines topics in areas such as Machine learning, Pointer, Computer vision and Pattern recognition.
Computer network is closely attributed to Scalability in his work.
His Differential privacy research includes themes of Theoretical computer science, Information privacy, Data collection and Computation.
His Approximation algorithm research includes elements of Logarithm, Polynomial, Selection and Greedy algorithm.
Liusheng Huang is interested in Load balancing, which is a branch of Distributed computing.
Between 2018 and 2021, his most popular works were:
- Local Differential Private Data Aggregation for Discrete Distribution Estimation (18 citations)
- A Utility-Optimized Framework for Personalized Private Histogram Estimation (14 citations)
- ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection (12 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
The scientist’s investigation covers issues in Differential privacy, Artificial intelligence, Approximation algorithm, Point cloud and Real-time computing.
His Differential privacy study combines topics in areas such as Theoretical computer science, Computer security, Information security, Data collection and Synthetic data.
His research integrates issues of Pipeline and Mobile device in his study of Artificial intelligence.
He focuses mostly in the field of Real-time computing, narrowing it down to topics relating to Traffic engineering and, in certain cases, Load balancing.
His work in Server addresses subjects such as Scalability, which are connected to disciplines such as Computer network.
His Computer network study combines topics from a wide range of disciplines, such as Control and Software deployment.
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