What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His primary scientific interests are in Computer network, Wireless sensor network, Scheduling, Wireless network and Real-time computing.
The various areas that Shaojie Tang examines in his Computer network study include Binary logarithm, Communication channel and Energy consumption.
His studies deal with areas such as Graph, Distributed computing, Data collection, Routing protocol and Topology as well as Wireless sensor network.
His work on Job shop scheduling as part of general Scheduling research is often related to Schedule, thus linking different fields of science.
The Wireless network study combines topics in areas such as Node, Upper and lower bounds and Throughput.
His research in Real-time computing intersects with topics in Mathematical optimization, Channel state information and Simulation.
His most cited work include:
- Canopy closure estimates with GreenOrbs: sustainable sensing in the forest (293 citations)
- Electronic frog eye: Counting crowd using WiFi (248 citations)
- A Delay-Efficient Algorithm for Data Aggregation in Multihop Wireless Sensor Networks (185 citations)
What are the main themes of his work throughout his whole career to date?
Shaojie Tang spends much of his time researching Computer network, Wireless sensor network, Distributed computing, Real-time computing and Wireless network.
His Computer network research incorporates elements of Wireless ad hoc network, Throughput and Communication channel.
His research investigates the connection between Wireless sensor network and topics such as Scheduling that intersect with issues in Mathematical optimization, Approximation algorithm and Energy consumption.
His Distributed computing research is multidisciplinary, relying on both Overhead, Frequency allocation, Network topology, Mobile computing and Mechanism design.
His work carried out in the field of Real-time computing brings together such families of science as Greedy algorithm, Simulation, Embedded system, Testbed and Efficient energy use.
His Wireless network study combines topics in areas such as Distributed algorithm and Upper and lower bounds, Topology.
He most often published in these fields:
- Computer network (32.67%)
- Wireless sensor network (30.36%)
- Distributed computing (22.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (12.87%)
- Submodular set function (4.62%)
- Differential privacy (3.63%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Submodular set function, Differential privacy, Artificial intelligence and Key.
He has included themes like Scheduling and Constant in his Mathematical optimization study.
The concepts of his Differential privacy study are interwoven with issues in Distributed computing and Upload.
His Key research incorporates elements of Wireless, Machine learning, Real-time computing and Mobile device.
His biological study spans a wide range of topics, including Wireless sensor network and Mobile computing.
His Search engine indexing research is multidisciplinary, incorporating elements of Computer network and Communication channel.
Between 2018 and 2021, his most popular works were:
- CHASE: Charging and Scheduling Scheme for Stochastic Event Capture in Wireless Rechargeable Sensor Networks (26 citations)
- Taxonomy and Evaluation for Microblog Popularity Prediction (15 citations)
- Incentive-Based Distributed Scheduling of Electric Vehicle Charging Under Uncertainty (14 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
Shaojie Tang mainly investigates Differential privacy, Data science, Mathematical optimization, Leverage and Deep learning.
Shaojie Tang has researched Differential privacy in several fields, including Computer security, Distributed computing and Upload.
In his research, Mobile device is intimately related to Bloom filter, which falls under the overarching field of Distributed computing.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Scheduling, Enhanced Data Rates for GSM Evolution, Throughput and Transmission.
The various areas that Shaojie Tang examines in his Maximization study include Wireless sensor network, Bounded function and Approximation algorithm.
His study ties his expertise on Submodular set function together with the subject of Wireless sensor network.
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