Dezheng Zhang

Orcid: 0000-0002-0647-3154

Affiliations:
  • University of Science and Technology Beijing, Beijing, China


According to our database1, Dezheng Zhang authored at least 15 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
Self-supervised cognitive learning for multifaced interest in large-scale industrial recommender systems.
Inf. Sci., 2025

2024
Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Multi-User-Multi-Scenario-Multi-Mode aware network for personalized recommender systems.
Eng. Appl. Artif. Intell., 2024

GP-FMLNet: A feature matrix learning network enhanced by glyph and phonetic information for Chinese sentiment analysis.
CAAI Trans. Intell. Technol., 2024

2023
A Factor Marginal Effect Analysis Approach and Its Application in E-Commerce Search System.
Int. J. Intell. Syst., 2023

2022
Classification with ensembles and case study on functional magnetic resonance imaging.
Digit. Commun. Networks, 2022

2021
Wearable Devices for Gait Analysis in Intelligent Healthcare.
Frontiers Comput. Sci., 2021

A Multitask Learning Model with Multiperspective Attention and Its Application in Recommendation.
Comput. Intell. Neurosci., 2021

Short Text Paraphrase Identification Model Based on RDN-MESIM.
Comput. Intell. Neurosci., 2021

2020
Synthesizing Foot and Ankle Kinematic Characteristics for Lateral Collateral Ligament Injuries Detection.
IEEE Access, 2020

Simulation of Trust-Based Mechanism for Enhancing User Confidence in Mobile Crowdsensing Systems.
IEEE Access, 2020

A Knowledge Driven Dialogue Model With Reinforcement Learning.
IEEE Access, 2020

2019
A Heterogeneous AdaBoost Ensemble Based Extreme Learning Machines for Imbalanced Data.
Int. J. Cogn. Informatics Nat. Intell., 2019

2017
Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.
Comput. Intell. Neurosci., 2017

Semi-supervised Multi-kernel Extreme Learning Machine.
Proceedings of the 2017 International Conference on Identification, 2017


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