Zhongqiang Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Higher-degree rectangular immersed finite elements discontinuous Galerkin methods for elliptic interface problems.
J. Comput. Appl. Math., 2026

2025
An Undersampling Method Based on Spatial Distance and Output Change for Computational Cost Reduction of Regression Models of Engineering Data.
IEEE Trans. Ind. Informatics, October, 2025

Few-Shot Class-Incremental Learning via Asymmetric Supervised Contrastive Learning.
IEEE Trans. Circuits Syst. Video Technol., October, 2025

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization.
CoRR, June, 2025

Numerical Solutions of Stochastic PDEs Driven by Ornstein-Uhlenbeck Noise.
J. Sci. Comput., March, 2025

Dual-level information fusion-boosted Fisher embedding discriminative dictionary learning for few-shot recognition.
Neurocomputing, 2025

Fisher embedding discriminative multiple-kernel dictionary learning for robust classification of nonlinear data in health monitoring.
Neurocomputing, 2025

On modified Euler methods for McKean-Vlasov stochastic differential equations with super-linear coefficients.
Autom., 2025

Design of a Pneumatic-Actuated Soft Robotic End-Effector with Variable Stiffness via Positive Pressure Layer-Jamming.
Proceedings of the 9th International Conference on Robotics, Control and Automation, 2025

Optimal Actuator Locations for Distributed Parameter Systems involving Space-fractional Operators.
Proceedings of the 2025 European Control Conference, 2025

2024
A Convex Optimization Method to Time-Optimal Trajectory Planning With Jerk Constraint for Industrial Robotic Manipulators.
IEEE Trans Autom. Sci. Eng., October, 2024

Task-Adaptive Multi-Source Representations for Few-Shot Image Recognition.
Inf., June, 2024

Spectral-Spatial Domain Attention Network for Hyperspectral Image Few-Shot Classification.
Remote. Sens., February, 2024

Mix background and foreground separately: Transformer-based Augmentation Strategies for Domain Generalization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Distillation Excluding Positives for Few-Shot Class-Incremental Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

COPHTC: Contrastive Learning with Prompt Tuning for Hierarchical Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Efficient Attention for Domain Generalization.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Learning and Adapting Diverse Representations for Cross-domain Few-shot Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
S³Net: Spectral-Spatial-Semantic Network for Hyperspectral Image Classification With the Multiway Attention Mechanism.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Design and Experiments of Pneumatic Soft Actuators.
Robotica, 2021

Knowledge-guided semantic computing network.
Neurocomputing, 2021

2019
Dual-Channel Reconstruction Network for Image Compressive Sensing.
Sensors, 2019

2018
Knowledge-guided Semantic Computing Network.
CoRR, 2018


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