Dr. Hongzong LI, 李宏宗

Research output

Research output per year 2021 2021 2022 2023 2024 2025 2025

• 6 RGC 32 - Refereed conference paper (with host publication)
• 6 RGC 21 - Publication in refereed journal

Research output per year

Research output per year

Search results

• 2025

  A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization

  Li, H. & Wang, J., Feb 2025, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 9, 1, p. 228-239 12 p.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Optimization Problem 100%
  • Optimization Algorithm 100%
  • Combinatorial Optimization Problem 100%
  • Experimental Result 50%
  • Hopfield Network 50%
  1 Citation (Scopus)

• Bi-clustering of Binary Data via Neurodynamics-driven Binary Matrix Factorization

  Li, H. & Wang, J., 2025, 2025 13th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, p. 90-97 (International Conference on Intelligent Control and Information Processing, ICICIP).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Matrix Factorization 100%
  • Analysis Technique 50%
  • Hopfield Network 50%
  • Particle Swarm Optimization 50%
  • Data Matrix 50%
• 2024

  Binary matrix factorization via collaborative neurodynamic optimization

  Li, H., Wang, J., Zhang, N. & Zhang, W., Aug 2024, In: Neural Networks. 176, 106348.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Matrix Factorization 100%
  • Optimisation Problem 66%
  • Experimental Result 33%
  • Optimization Problem 33%
  • Local Minimum 33%
  2 Citations (Scopus)

• Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization

  Li, H. & Wang, J., May 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 5, p. 6679-6692 14 p.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Objective Function 100%
  • Combinatorial Optimization Problem 100%
  • Majorization 100%
  • Optimisation Problem 100%
  • Experimental Result 50%
  8 Citations (Scopus)

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

  Li, H. & Wang, J., Mar 2024, In: IEEE Transactions on Fuzzy Systems. 32, 3, p. 1181-1194

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • fuzzy c mean 100%
  • Hard Clustering 100%
  • Clustering Algorithm 40%
  • Experimental Result 20%
  • Membership Degree 20%
  16 Citations (Scopus)
• 2023

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

  Li, H. & Wang, J., 28 Feb 2023, In: Knowledge-Based Systems. 262, 110241.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • k-means Clustering 100%
  • Mean Clustering Algorithm 100%
  • Experimental Result 50%
  • Cluster Validity 50%
  • Algorithmic Complexity 50%
  16 Citations (Scopus)

  6 Downloads (CityUHK Scholars)

• HVAC System Fault Diagnosis via Feature Selection and Classification

  Ye, X., Li, H. & Wang, J., 2023, 2023 13th International Conference on Information Science and Technology (ICIST). IEEE, p. 432-440 9 p.

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Fault Diagnosis 100%
  • Feature Extraction 100%
  • Experimental Result 50%
  • Air Conditioning System 50%
  • Selection Algorithm 50%
  1 Citation (Scopus)
• 2022

  Collaborative annealing power k-means++ clustering

  Li, H. & Wang, J., 14 Nov 2022, In: Knowledge-Based Systems. 255, 109593.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • k-means Clustering 100%
  • Experimental Result 100%
  • Mean Clustering Algorithm 100%
  • Clustering Algorithm 100%
  • Particle Swarm Optimization 100%
  45 Citations (Scopus)

• Collaborative Neurodynamic Algorithms for Solving Sudoku Puzzles

  Li, H. & Wang, J., 2022, 2022 12th International Conference on Information Science and Technology (ICIST). IEEE, p. 8-17 10 p.

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Boltzmann Machine 100%
  • Boltzmann Equation 100%
  • Optimization Algorithm 66%
  • Hopfield Network 66%
  • Experimental Result 33%
  3 Citations (Scopus)
• 2021

  A Collaborative Neurodynamic Optimization Algorithm Based on Boltzmann Machines for Solving the Traveling Salesman Problem

  Li, H. & Wang, J., Dec 2021, 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, p. 325-333 (International Conference on Intelligent Control and Information Processing, ICICIP).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Optimization Algorithm 100%
  • Traveling Salesman Problem 100%
  • Boltzmann Machine 100%
  • Boltzmann Equation 100%
  • Local Search 33%
  4 Citations (Scopus)

• Index Tracking Based on Dynamic Time Warping and Constrained k-medoids Clustering

  Zhang, R., Li, H. & Wang, J., Dec 2021, 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, p. 352-359 (International Conference on Intelligent Control and Information Processing, ICICIP).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Experimental Result 100%
  • Pearsons Linear Correlation Coefficient 100%
  • Median Problem 100%
  • Dynamic Time Warping 100%
  • Pearson Correlation Coefficient 33%
  5 Citations (Scopus)

• Solving the Travelling Salesman Problem Based on Collaborative Neurodynamic Optimization with Discrete Hopfield Networks

  Li, H., Wang, J. & Wang, J., May 2021, 11th International Conference on Information Science and Technology (ICIST). IEEE, p. 456-465 9440588. (International Conference on Information Science and Technology, ICIST).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Optimization Approach 100%
  • Experimental Result 50%
  • Benchmark Problem 50%
  • Particle Swarm Optimization 50%
  5 Citations (Scopus)