Chenglong Zhang

Orcid: 0009-0003-0002-5128

Affiliations:
  • Chinese University of Hong Kong Shenzhen (CUHK-SZ), Shenzhen, China
  • University of Science and Technology of China (USTC), Hefei, China
  • China University of Mining and Technology (CUMT), School of Computer Science and Technology, Xuzhou, China


According to our database1, Chenglong Zhang authored at least 30 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
Learning multi-agent communication via graph contrastive learning.
Pattern Recognit., 2026

Sparse low-rank retargeted stochastic configuration networks for multiclass classification.
Expert Syst. Appl., 2026

2025
Deep Ensemble Stochastic Configuration Network via Graph Intuitionistic Fuzzy for Depression Recognition.
IEEE Trans. Fuzzy Syst., September, 2025

Hierarchical Fuzzy Stochastic Configuration Network Based on Canonical Correlation Analysis for Multiview Pulse Signal Fusion.
IEEE Trans. Fuzzy Syst., August, 2025

MOSSA: An Efficient Swarm Intelligent Algorithm to Solve Global Optimization and Carbon Fiber Drawing Process Problems.
IEEE Internet Things J., May, 2025

Multi-Agent policy gradients with dynamic weighted value decomposition.
Pattern Recognit., 2025

Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting.
Knowl. Based Syst., 2025

Decay regularized stochastic configuration networks with multi-level data processing for UAV battery RUL prediction.
Inf. Sci., 2025

A novel robust semi-supervised stochastic configuration network for regression tasks with noise.
Inf. Sci., 2025

2024
Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems.
IEEE Trans. Fuzzy Syst., August, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.
Soft Comput., March, 2024

Greedy deep stochastic configuration networks ensemble with boosting negative correlation learning.
Inf. Sci., 2024

Stochastic configuration networks with group lasso regularization.
Inf. Sci., 2024

2023
Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.
IEEE Trans. Cogn. Dev. Syst., 2023

A regularized stochastic configuration network based on weighted mean of vectors for regression.
PeerJ Comput. Sci., 2023

Greedy stochastic configuration networks for ill-posed problems.
Knowl. Based Syst., 2023

2022
Broad learning system based ensemble deep model.
Soft Comput., 2022

Hypergraph based semi-supervised support vector machine for binary and multi-category classifications.
Int. J. Mach. Learn. Cybern., 2022

Broad stochastic configuration network for regression.
Knowl. Based Syst., 2022

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.
Inf. Sci., 2022

A novel dense capsule network based on dense capsule layers.
Appl. Intell., 2022

An AdaBoost Based - Deep Stochastic Configuration Network.
Proceedings of the Intelligent Information Processing XI, 2022

2021
Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning.
Int. J. Mach. Learn. Cybern., 2021

A stochastic configuration network based on chaotic sparrow search algorithm.
Knowl. Based Syst., 2021

SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network.
Neurocomputing, 2021

Parallel stochastic configuration networks for large-scale data regression.
Appl. Soft Comput., 2021

An optimized support vector regression for prediction of bearing degradation.
Appl. Soft Comput., 2021

2019
Safety Traceability System of Characteristic Food Based on RFID and EPC Internet of Things.
Int. J. Online Biomed. Eng., 2019

2017
Real-time Resource Positioning System based on Wireless Sensor Network in Manufacturing Workshop.
Int. J. Online Eng., 2017


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