Jun Wang

Jun Wang

City University of Hong Kong

H-index: 100

Asia-Hong Kong

About Jun Wang

Jun Wang, With an exceptional h-index of 100 and a recent h-index of 62 (since 2020), a distinguished researcher at City University of Hong Kong, specializes in the field of Neural networks, computational intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed chiller loading via collaborative neurodynamic optimization with heterogeneous neural networks

LFT: Neural ordinary differential equations with learnable final-time

Safety-certified multi-target circumnavigation with autonomous surface vehicles via neurodynamics-driven distributed optimization

Supervised feature selection via collaborative neurodynamic optimization

Unsupervised image enhancement under non-uniform illumination based on paired CNNs

Capacitated clustering via majorization-minimization and collaborative neurodynamic optimization

An event-triggered collaborative neurodynamic approach to distributed global optimization

Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization

Jun Wang Information

University

Position

Chair Professor at

Citations(all)

30463

Citations(since 2020)

12960

Cited By

22455

hIndex(all)

100

hIndex(since 2020)

62

i10Index(all)

329

i10Index(since 2020)

222

Email

University Profile Page

City University of Hong Kong

Google Scholar

View Google Scholar Profile

Jun Wang Skills & Research Interests

Neural networks

computational intelligence

Top articles of Jun Wang

Title

Journal

Author(s)

Publication Date

Distributed chiller loading via collaborative neurodynamic optimization with heterogeneous neural networks

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Zhongying Chen

Jun Wang

Qing-Long Han

2024

LFT: Neural ordinary differential equations with learnable final-time

IEEE Transactions on Neural Networks and Learning Systems

Dong Pang

Xinyi Le

Xinping Guan

Jun Wang

2022/10/25

Safety-certified multi-target circumnavigation with autonomous surface vehicles via neurodynamics-driven distributed optimization

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Yue Jiang

Zhouhua Peng

Jun Wang

2023/12/12

Supervised feature selection via collaborative neurodynamic optimization

IEEE Transactions on Neural Networks and Learning Systems

Yadi Wang

Jun Wang

Nikhil R Pal

2024

Unsupervised image enhancement under non-uniform illumination based on paired CNNs

Neural Networks

Feng Lin

Huaqing Zhang

Jian Wang

Jun Wang

2024

Capacitated clustering via majorization-minimization and collaborative neurodynamic optimization

IEEE Transactions on Neural Networks and Learning Systems

Hongzong Li

Jun Wang

2022/10/18

An event-triggered collaborative neurodynamic approach to distributed global optimization

Neural Networks

Zicong Xia

Yang Liu

Jun Wang

2024

Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization

Neural Networks

Banghua Huang

Yang Liu

Yun-Liang Jiang

Jun Wang

2024

From soft clustering to hard clustering: a collaborative annealing fuzzy c-means algorithm

IEEE Transactions on Fuzzy Systems

Hongzong Li

Jun Wang

2023/9/27

Receding-horizon chiller operation planning via collaborative neurodynamic optimization

IEEE Transactions on Smart Grid

Zhongying Chen

Jun Wang

Qing-Long Han

2024/3

Binary matrix factorization via collaborative neurodynamic optimization

Neural Networks

Hongzong Li

Jun Wang

Nian Zhang

Wei Zhang

2024/4/30

A collaborative neurodynamic optimization approach to distributed Nash-equilibrium seeking in multicluster games with nonconvex functions

IEEE Transactions on Cybernetics

Zicong Xia

Yang Liu

Wenwu Yu

Jun Wang

2023/7/19

Hybrid model predictive control of chiller systems via collaborative neurodynamic optimization

IEEE Transactions on Industrial Informatics

Zhongying Chen

Jun Wang

Qing-Long Han

2024/4/18

A data-driven Bayesian Koopman learning method for modeling hysteresis dynamics

IEEE Transactions on Neural Networks and Learning Systems

Xiang Huang

Hai-Tao Zhang

Jun Wang

2024

A survey of neurodynamic optimization

IEEE Transactions on Emerging Topics in Computational Intelligence

Youshen Xia

Qingshan Liu

Jun Wang

Andrzej Cichocki

2024/3/19

A specified-time convergent multi-agent system for distributed optimization with a time-varying objective function

IEEE Transactions on Automatic Control

Yanling Zheng

Qingshan Liu

Jun Wang

2024

Time-varying formation control of autonomous surface vehicles based on affine observer

IEEE Transactions on Industrial Electronics

Chuancong Tang

Hai-Tao Zhang

Haosen Cao

Jun Wang

2024/2/5

Evolving dual-threshold Bienenstock-Cooper-Munro learning rules in echo state networks

IEEE Transactions on Neural Networks and Learning Systems

Xinjie Wang

Yaochu Jin

Wenli Du

Jun Wang

2022/6/28

Neurodynamics-driven supervised feature selection

Pattern Recognition

Yadi Wang

Jun Wang

Dacheng Tao

2023

Optimal chiller loading based on collaborative neurodynamic optimization

IEEE Transactions on Industrial Informatics

Zhongying Chen

Jun Wang

Qing-Long Han

2023

See List of Professors in Jun Wang University(City University of Hong Kong)

Co-Authors

H-index: 144
Jinde Cao

Jinde Cao

Southeast University

H-index: 123
Qing-Long Han, MAE, FIEEE, FIFAC, HonFIEAust, FCAA, Pro Vice-Chancellor and Distinguished Professor

Qing-Long Han, MAE, FIEEE, FIFAC, HonFIEAust, FCAA, Pro Vice-Chancellor and Distinguished Professor

Swinburne University of Technology

H-index: 80
Zhigang Zeng

Zhigang Zeng

Huazhong University of Science and Technology

H-index: 67
Ying Tan

Ying Tan

Peking University

H-index: 65
Yunong Zhang

Yunong Zhang

Sun Yat-Sen University

H-index: 50
Min Han

Min Han

Dalian University of Technology

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