Hongzong LI

Stay humble, dream big.

I’m a Ph.D. candidate in Computer Science at City University of Hong Kong (CityU), where I am so fortunate to be advised by Prof. Jun Wang (IEEE Life Fellow, IAPR Fellow, Member of Academia Europaea). I obtained my B.E. degree in automation from Northeastern University in 2020.

I will graduate in the winter of 2024 and am currently on the job market.

Research Interests

(The papers marked in fuchsia were completed while I am pursuing my Ph.D., and the papers marked in dodge blue were completed during my undergraduate studies.)

Optimization
- Operational Research Problems
  - Capacitated Clustering (TNNLS)
  - Quadratic Unconstrained Binary Optimization (TETCI)
  - Traveling Salesman Problem (ICIST2021, ICICIP2021)
- Binary Matrix Factorization (NN)
- Constrained Binary Matrix Factorization (Submitted to TSMCS)
- Sudoku Puzzles (ICIST2022)
Learning
- Unsupervised Learning
  - Clustering
    - Based on Fuzzy c-means (TFS)
    - Based on Power k-means (KBS, KBS)
    - Application of Clustering application to Index Tracking (ICICIP2021)
- Supervised Learning
  - Classification
    - Fault Diagnosis (ICIST2023, IEEE Access)
    - Coal and Iron Ore Type (ACS Omega, ICAICS2019)
    - Slope Monitoring (IEEE Access)
  - Prediction
    - Underflow Concentration of Thickener a in Hydrometallurgy (EACFM)
    - Warning System for Mine Truck (JoP)
  - Computer Vision
    - Slope Monitoring (ICAICS2019)
    - Warning System for Large Truck (CIN)

news

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

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},
}

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},
}

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},
}

TETCI

A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization

Hongzong Li, and Jun Wang

IEEE Transactions on Emerging Topics in Computational Intelligence, 2024

in press

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 = {2024},
  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},
}