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Jun Wang

The University of Texas Southwestern Medical Center · US
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Area of research
Artificial Intelligence · Computer Networks and Communications
Research interest
Research focused on Multistability and Artificial neural network, with related work in Equilibrium point, Invertible matrix, Stability (learning theory). Notable publications include 'Efficient Architecture Search by Network Transformation', 'A Collective Neurodynamic Approach to Distributed Constrained Optimization', and 'Multiple Mittag–Leffler Stability of Fractional-Order Recurrent Neural Networks'.
h-index
citations
471
works
3
NIH funding
primary concept
email

Recent publications

Parameter analysis and dual-objective optimization of the hydraulic power take-off system of a floating wind-wave hybrid system
Ocean Engineering 2024cited by 14position: middledoi
An Overview of the Stability Analysis of Recurrent Neural Networks With Multiple Equilibria
IEEE Transactions on Neural Networks and Learning Systems 2021cited by 74position: middledoi
Robust $H_{\infty }$ Dynamic Output-Feedback Control for CACC With ROSSs Subject to RODAs
IEEE Transactions on Vehicular Technology 2021cited by 26position: middledoi
Efficient Architecture Search by Network Transformation
Proceedings of the AAAI Conference on Artificial Intelligence 2018cited by 418position: lastdoi
Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks
IEEE Transactions on Neural Networks and Learning Systems 2018cited by 129position: lastdoi
Forecasting neural network model with novel CID learning rate and EEMD algorithms on energy market
Neurocomputing 2018cited by 27position: lastdoi
Multiple Mittag–Leffler Stability of Fractional-Order Recurrent Neural Networks
IEEE Transactions on Systems Man and Cybernetics Systems 2017cited by 227position: lastdoi
Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded Time-Varying Delays
IEEE Transactions on Neural Networks and Learning Systems 2017cited by 73position: lastdoi
A Collective Neurodynamic Approach to Distributed Constrained Optimization
IEEE Transactions on Neural Networks and Learning Systems 2016cited by 253position: lastdoi
Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays
Neural Networks 2016cited by 69position: lastdoi
Complete stability of delayed recurrent neural networks with Gaussian activation functions
Neural Networks 2016cited by 49position: lastdoi
-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network
IEEE Transactions on Neural Networks and Learning Systems 2015cited by 129position: lastdoi
Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Mixed Time Delays
IEEE Transactions on Systems Man and Cybernetics Systems 2015cited by 118position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Peng Liu · Pennsylvania State University7 papers (2015–2021)Zhigang Zeng · Nanchang University5 papers (2015–2021)Qingshan Liu · Ministry of Education of the People's Republic of China2 papers (2015–2016)Yanjun Liu · Shandong University1 papers (2024–2024)Quan Shi · North Carolina State University1 papers (2021–2021) · 1 papers (2024–2024)Yuanzhi Wang · Ministry of Education of the People's Republic of China1 papers (2024–2024)Cong Huang · Nantong University1 papers (2021–2021)Yong Yu · Shanghai Jiao Tong University1 papers (2018–2018)Shaofu Yang · City University of Hong Kong1 papers (2016–2016) · 1 papers (2018–2018)Shuting Huang · Taishan University1 papers (2024–2024)Tianyao Chen · Bayi Children's Hospital1 papers (2018–2018) · 1 papers (2021–2021)Serdar Coskun · Texas A&M University1 papers (2021–2021)Mingyu Yang · University of Michigan–Ann Arbor1 papers (2024–2024)Han Cai · Guangdong University of Technology1 papers (2018–2018)Weinan Zhang · Northwest Minzu University1 papers (2018–2018)
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