What is he best known for?
The fields of study he is best known for:
- Statistics
- Computer network
- Artificial intelligence
Lifeng Lai focuses on Communication channel, Wireless, Computer network, Topology and Computer security.
His Communication channel research integrates issues from Node, Wireless network, Multiplexing and Decoding methods.
His Wireless research is multidisciplinary, incorporating elements of Real-time computing, Electronic engineering and Channel capacity.
His research links Relay with Computer network.
His study in Topology is interdisciplinary in nature, drawing from both Secrecy and Encryption, Public-key cryptography.
In his study, Interference alignment, Fading, List decoding, Secure transmission and Transmitter is strongly linked to Channel state information, which falls under the umbrella field of Secrecy.
His most cited work include:
- On the Secrecy Capacity of Fading Channels (1145 citations)
- The Relay–Eavesdropper Channel: Cooperation for Secrecy (777 citations)
- Cognitive Medium Access: Exploration, Exploitation, and Competition (307 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Communication channel, Algorithm, Computer network, Mathematical optimization and Decoding methods.
Lifeng Lai interconnects Transmitter, Secrecy and Topology in the investigation of issues within Communication channel.
As part of the same scientific family, Lifeng Lai usually focuses on Transmitter, concentrating on Channel state information and intersecting with Interference alignment and Secure transmission.
His studies deal with areas such as Change detection, Probability distribution, Theoretical computer science, Linear regression and Upper and lower bounds as well as Algorithm.
His Computer network study incorporates themes from Wireless, Wireless network, Relay and Key.
The concepts of his Fading study are interwoven with issues in Coding and Channel capacity.
He most often published in these fields:
- Communication channel (35.53%)
- Algorithm (24.12%)
- Computer network (22.37%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (24.12%)
- Upper and lower bounds (11.40%)
- Mathematical optimization (18.86%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Algorithm, Upper and lower bounds, Mathematical optimization, Rate of convergence and k-nearest neighbors algorithm.
His Algorithm research incorporates themes from Subspace topology, Probability distribution, Change detection, Linear regression and Sparse matrix.
In his study, Smoothness is inextricably linked to Minimax, which falls within the broad field of Upper and lower bounds.
His Mathematical optimization research includes elements of Adversarial system, Adversarial machine learning, Identification, Regret and Robustness.
Lifeng Lai has included themes like Data transmission, Communication channel, Channel capacity, Authentication and Key in his Adversary study.
Lifeng Lai has researched Communication channel in several fields, including Key generation, Authentication scheme, Computer security and Public-key cryptography.
Between 2017 and 2021, his most popular works were:
- Keyless Authentication and Authenticated Capacity (19 citations)
- Efficient Byzantine Sequential Change Detection (14 citations)
- Distributed Testing With Cascaded Encoders (14 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Computer network
- Algorithm
His primary areas of investigation include Algorithm, Upper and lower bounds, Adversary, Adversarial system and Change detection.
His Algorithm study integrates concerns from other disciplines, such as Probability distribution, Coding, Subspace topology and Maximum power principle.
His Upper and lower bounds research includes themes of Probability density function, Computer engineering, Minimax, k-nearest neighbors algorithm and Rate of convergence.
The various areas that Lifeng Lai examines in his Adversary study include Logarithm and Computer network, Data transmission.
His studies deal with areas such as False alarm, CUSUM and Constant false alarm rate as well as Change detection.
His Convergence research focuses on Bounded function and how it relates to Transmitter.
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