What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His primary scientific interests are in Computer network, Distributed computing, Wireless network, Scheduling and Resource allocation.
He combines subjects such as Wireless, Software deployment, Power control and Mobile data offloading with his study of Computer network.
Yung Yi has included themes like Heuristic, Base station and Heuristic in his Distributed computing study.
His biological study spans a wide range of topics, including Network simulation, Path, Virtual network and Energy conservation.
His Wireless network course of study focuses on Network congestion and Communication channel and Wireless ad hoc network.
His Scheduling research integrates issues from Optimization problem, Message passing, Throughput and Random access.
His most cited work include:
- Rethinking virtual network embedding: substrate support for path splitting and migration (1060 citations)
- Mobile data offloading: how much can WiFi deliver? (538 citations)
- Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks (409 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Distributed computing, Wireless network, Scheduling and Throughput.
His research in Computer network focuses on subjects like Incentive, which are connected to Monopoly.
His Distributed computing research includes themes of Optimization problem, Network dynamics, Base station and Hop.
His study in Wireless network is interdisciplinary in nature, drawing from both Network congestion, Wireless ad hoc network, Communication channel, Network topology and Mathematical optimization.
His Scheduling study integrates concerns from other disciplines, such as Distributed algorithm, Schedule and Random access.
The concepts of his Throughput study are interwoven with issues in Queueing theory and Physical layer.
He most often published in these fields:
- Computer network (37.33%)
- Distributed computing (21.66%)
- Wireless network (17.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Reinforcement learning (5.53%)
- Theoretical computer science (5.99%)
- Artificial intelligence (6.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Reinforcement learning, Theoretical computer science, Artificial intelligence, Algorithm and Computer network.
His Reinforcement learning study combines topics from a wide range of disciplines, such as Wireless network, Scheduling and Human–computer interaction.
His Wireless network study which covers Broadcasting that intersects with Schedule.
His work carried out in the field of Computer network brings together such families of science as Key and Efficient energy use.
As a part of the same scientific family, he mostly works in the field of Efficient energy use, focusing on Embedded system and, on occasion, Wireless.
His studies in Social network integrate themes in fields like Network topology and Data mining.
Between 2018 and 2021, his most popular works were:
- QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning (44 citations)
- QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. (39 citations)
- Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study (21 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary areas of study are Reinforcement learning, Theoretical computer science, Algorithm, Human–computer interaction and Scheduling.
His work deals with themes such as State and State space, which intersect with Reinforcement learning.
His Theoretical computer science study combines topics in areas such as Function and Monotonic function.
His Algorithm research incorporates elements of Throughput, Modulation, Stochastic optimization, Heuristics and Transmitter.
His Human–computer interaction research is multidisciplinary, relying on both Wireless network, Ranging and Broadcasting.
His research links Schedule with Scheduling.
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