Hongzong LI

Stay humble, dream big.

🏢 Employment

Postdoctoral Fellow (2025–present)
Hong Kong University of Science and Technology (HKUST)
Supervised by Prof. Dapeng Oliver Wu (IEEE Fellow)

🎓 Education Background

Ph.D. in Computer Science (2021–2024)
City University of Hong Kong (CityUHK)
Advised by Prof. Jun Wang (IEEE Life Fellow, Member of Academia Europaea, IAPR Fellow, HKEng Fellow,
Editor-in-Chief of IEEE Transactions on Artificial Intelligence)
B.E. in Automation (2016–2020)
Northeastern University (NEU)

📘 Curriculum Vitae

news

Sep 16, 2025	“Machine-Cell and Part-Family Formation via Neurodynamics-Driven Constrained Binary Matrix Factorization” has been accepted by IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMCS) - first author, IF=8.7.
Nov 22, 2024	🎓🎉 I have successfully completed my PhD defense and I would like to express my sincere gratitude to my supervisor, Prof. Jun WANG, for his invaluable guidance and support 🙏.
May 13, 2024	“A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization” has been accepted by IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI) - first author, IF=5.3.
Apr 26, 2024	“Binary Matrix Factorization via Collaborative Neurodynamic Optimization” has been accepted by Neural Networks (NN) - first author, IF=7.8.
Sep 23, 2023	“From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy c-means Algorithm” has been accepted by IEEE Transactions on Fuzzy Systems (IEEE TFS) - first author, IF=11.9.
Aug 30, 2023	🎓 Congratulations to my groupmate at CityU, CHEN Zhongying (Incoming Associate Professor at Southeast University) on his PhD graduation 🥳🌟
Dec 25, 2022	“CAPKM++2.0: An Upgraded Version of the Collaborative Annealing Power K-means++ Clustering Algorithm” has been accepted by Knowledge-Based Systems (KBS) - first author, IF=8.8.
Oct 4, 2022	“Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization” has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) - first author, IF=10.4.
May 31, 2022	“Collaborative Annealing Power K-means++ Clustering” has been accepted by Knowledge-Based Systems (KBS) - first author, IF=8.8

selected publications

TFS

From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy c-means Algorithm

Hongzong Li, and Jun Wang

IEEE Transactions on Fuzzy Systems, 2024

Bib HTML PDF

@article{TFS-Li-Wang2024,
  author = {Li, Hongzong and Wang, Jun},
  journal = {IEEE Transactions on Fuzzy Systems},
  title = {From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy $c$-means Algorithm},
  year = {2024},
  number = {3},
  pages = {1181-1194},
  volume = {32},
  doi = {10.1109/TFUZZ.2023.3319663},
}

TNNLS

Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization

Hongzong Li, and Jun Wang

IEEE Transactions on Neural Networks and Learning Systems, 2024

Bib HTML PDF

@article{TNNLS-Li-Wang2024,
  author = {Li, Hongzong and Wang, Jun},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  title = {Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization},
  year = {2024},
  number = {5},
  pages = {6679-6692},
  volume = {35},
}

TSMCS

Machine-Cell and Part-Family Formation via Neurodynamics-Driven Constrained Binary Matrix Factorization

Hongzong Li, and Jun Wang

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025

in press

Bib HTML PDF

@article{TSMCS-Li-Wang2025,
  author = {Li, Hongzong and Wang, Jun},
  journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  title = {Machine-Cell and Part-Family Formation via Neurodynamics-Driven Constrained Binary Matrix Factorization},
  year = {2025},
  note = {in press},
}

Binary Matrix Factorization via Collaborative Neurodynamic Optimization

Hongzong Li, Jun Wang, Nian Zhang, and 1 more author

Neural Networks, 2024

Bib HTML PDF

@article{NN-Li-Wang-Zhang-Zhang2024,
  author = {Li, Hongzong and Wang, Jun and Zhang, Nian and Wei, Zhang},
  journal = {Neural Networks},
  title = {Binary Matrix Factorization via Collaborative Neurodynamic Optimization},
  year = {2024},
  pages = {106348},
  doi = {https://doi.org/10.1016/j.neunet.2024.106348},
}

TETCI

A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization

Hongzong Li, and Jun Wang

IEEE Transactions on Emerging Topics in Computational Intelligence, 2025

Bib HTML PDF

@article{TETCI-Li-Wang2024,
  author = {Li, Hongzong and Wang, Jun},
  journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
  title = {A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization},
  year = {2025},
  volume = {9},
  number = {1},
  pages = {228-239},
}

KBS

CAPKM++ 2.0: An upgraded version of the collaborative annealing power k-means++ clustering algorithm

Hongzong Li, and Jun Wang

Knowledge-Based Systems, 2023

Bib HTML PDF

@article{KBS-Li-Wang2023,
  author = {Li, Hongzong and Wang, Jun},
  journal = {Knowledge-Based Systems},
  title = {{CAPKM++} 2.0: An upgraded version of the collaborative annealing power k-means++ clustering algorithm},
  year = {2023},
  pages = {110241},
  volume = {262},
}

KBS

Collaborative annealing power k-means++ clustering

Hongzong Li, and Jun Wang

Knowledge-Based Systems, 2022

Bib HTML PDF

@article{KBS-Li-Wang2022,
  author = {Li, Hongzong and Wang, Jun},
  journal = {Knowledge-Based Systems},
  title = {Collaborative annealing power k-means++ clustering},
  year = {2022},
  pages = {109593},
  volume = {255},
  publisher = {Elsevier},
}