What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer network
His primary areas of investigation include Control theory, Distributed computing, Correctness, Topology and Network topology.
Huaqing Li has included themes like Applied mathematics and Stability in his Control theory study.
His Distributed computing study incorporates themes from Node, Control theory, Strongly connected component and Asynchronous communication.
His work carried out in the field of Correctness brings together such families of science as Encryption and Cryptography.
The study incorporates disciplines such as Dynamical system, State vector and Nonlinear system in addition to Topology.
His research in Network topology intersects with topics in Telecommunications network and Quantization.
His most cited work include:
- Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems (337 citations)
- Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks (139 citations)
- Outsourcing Large Matrix Inversion Computation to A Public Cloud (108 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Multi-agent system, Optimization problem, Control theory and Algorithm.
The Mathematical optimization study combines topics in areas such as Convex optimization, Distributed algorithm, Rate of convergence, Upper and lower bounds and Lipschitz continuity.
His biological study spans a wide range of topics, including Strongly connected component and Subgradient method.
His Multi-agent system research is multidisciplinary, incorporating perspectives in Distributed computing, Discrete time and continuous time, Correctness, Network topology and Topology.
His work deals with themes such as Algorithm design, Convex function, Bounded function and Directed graph, which intersect with Optimization problem.
In general Control theory study, his work on Control theory, Nonlinear system and Lyapunov stability often relates to the realm of Topology, thereby connecting several areas of interest.
He most often published in these fields:
- Mathematical optimization (37.80%)
- Multi-agent system (22.83%)
- Optimization problem (22.05%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (37.80%)
- Algorithm (17.32%)
- Optimization problem (22.05%)
In recent papers he was focusing on the following fields of study:
Mathematical optimization, Algorithm, Optimization problem, Distributed algorithm and Convex function are his primary areas of study.
His Mathematical optimization research focuses on subjects like Computation, which are linked to Correctness.
As part of the same scientific family, Huaqing Li usually focuses on Correctness, concentrating on Multi-agent system and intersecting with Topology.
His Algorithm research includes elements of Tracking and Convex optimization.
His study on Optimization problem also encompasses disciplines like
- Lipschitz continuity which is related to area like Upper and lower bounds and Function,
- Distributed computing which intersects with area such as Control.
Huaqing Li combines subjects such as Strongly connected component, Uniform boundedness and Subgradient method with his study of Distributed algorithm.
Between 2019 and 2021, his most popular works were:
- Accelerated Convergence Algorithm for Distributed Constrained Optimization under Time-Varying General Directed Graphs (19 citations)
- Distributed Robust Algorithm for Economic Dispatch in Smart Grids Over General Unbalanced Directed Networks (14 citations)
- Edge-Based Stochastic Gradient Algorithm for Distributed Optimization (12 citations)
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