What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Algorithm
His primary scientific interests are in Scheduling, Computer network, Throughput, Wireless network and Queue.
His work carried out in the field of Scheduling brings together such families of science as Resource allocation and Distributed computing.
The Computer network study combines topics in areas such as Wireless ad hoc network, Upper and lower bounds and Communication complexity.
The study incorporates disciplines such as Routing table and Destination-Sequenced Distance Vector routing, Static routing, Geographic routing, Dynamic Source Routing in addition to Throughput.
His Wireless network research includes themes of Greedy algorithm, Communication channel, Network packet and Topology.
He has included themes like Load balancing and Queueing theory in his Queue study.
His most cited work include:
- Load Scheduling and Dispatch for Aggregators of Plug-In Electric Vehicles (286 citations)
- Stochastic models of load balancing and scheduling in cloud computing clusters (273 citations)
- Communication Networks An Optimization Control And Stochastic Networks Perspective (178 citations)
What are the main themes of his work throughout his whole career to date?
Lei Ying mainly focuses on Computer network, Scheduling, Wireless network, Distributed computing and Throughput.
His Computer network study frequently draws connections to other fields, such as Wireless ad hoc network.
His Scheduling study combines topics in areas such as Communication channel, Queueing theory, Base station, Queue and Telecommunications link.
His Wireless network research is multidisciplinary, incorporating perspectives in Cellular network, Computational complexity theory, Quality of service, Greedy algorithm and Buffer overflow.
His Distributed computing course of study focuses on Wireless and Real-time computing.
Lei Ying focuses mostly in the field of Throughput, narrowing it down to topics relating to Topology and, in certain cases, Power control.
He most often published in these fields:
- Computer network (37.26%)
- Scheduling (29.72%)
- Wireless network (25.47%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (12.26%)
- Load balancing (7.08%)
- Server (6.13%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematical optimization, Load balancing, Server, Key and Computational complexity theory.
His research ties Queueing theory and Load balancing together.
His study looks at the relationship between Server and fields such as Discrete mathematics, as well as how they intersect with chemical problems.
His Queue study incorporates themes from Scheduling, Transmitter power output and Power control.
His study focuses on the intersection of Computational complexity theory and fields such as Greedy algorithm with connections in the field of Network packet, Wireless network, Interdependent networks, Cascading failure and Markov decision process.
His Computer network study integrates concerns from other disciplines, such as Wireless and Communication channel.
Between 2017 and 2021, his most popular works were:
- Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning (43 citations)
- Empty-Car Routing in Ridesharing Systems (41 citations)
- Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning (39 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Algorithm
Lei Ying mostly deals with Load balancing, Upper and lower bounds, Server, Mathematical optimization and Applied mathematics.
His research on Upper and lower bounds also deals with topics like
- Operations research that intertwine with fields like Control, Analytics and Information privacy,
- Payment together with Data collection, Differential privacy and Best response.
His Server study deals with the bigger picture of Computer network.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Linear differential equation, Constraint, Constraint violation and Regret.
His study in Applied mathematics is interdisciplinary in nature, drawing from both Linear function, Lyapunov stability and Normal distribution.
His research integrates issues of Wireless network, Throughput and Curse of dimensionality in his study of Convergence.
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