Linqing Huang

Orcid: 0000-0001-9636-499X

According to our database1, Linqing Huang authored at least 42 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Incomplete Data Classification via Distribution Alignment With Evidence Combination.
Mach. Intell. Res., June, 2026

Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels.
CoRR, April, 2026

Partial Label Learning via Mutual Information Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., March, 2026

CLIP-driven Zero-shot Learning with Ambiguous Labels.
CoRR, March, 2026

Memristive Chaotic System for Secure Communication: Scroll-Control and Bidirectional Scroll-Growth Attractors With Hardware Implementation.
IEEE Trans. Consumer Electron., February, 2026

Robust zero-shot learning with ambiguous labels via visual-semantic alignment and dynamic disambiguation.
Neural Networks, 2026

Partial multi-label learning via transformer to discover discriminative label embeddings.
Neurocomputing, 2026

A robust multi-source transfer classification method based on belief functions for cross-domain pattern recognition.
Int. J. Approx. Reason., 2026

Partial label zero-shot learning with semantic mining and instance-label alignment.
Eng. Appl. Artif. Intell., 2026

Nonlinear Characteristic-Driven Partial Multi-label Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

Partial Multi-label Learning via Label Anchor Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025
Diffusion Disambiguation Models for Partial Label Learning.
CoRR, July, 2025

A New Multi-Target Domain Adaptation Method Based on Evidence Theory for Distribution Inconsistent Data Classification.
IEEE Trans. Syst. Man Cybern. Syst., June, 2025

Integration of Multikinds Imputation With Covariance Adaptation Based on Evidence Theory.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing.
CoRR, May, 2025

KMT-PLL: K-Means Cross-Attention Transformer for Partial Label Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection.
IEEE Trans. Instrum. Meas., 2025

Multi-Source Multi-Target Domain Adaptation Based on Evidence Theory.
IEEE Trans. Instrum. Meas., 2025

Partial multi-label learning via K-means graph transformer.
Knowl. Based Syst., 2025

MDiffSR: Mutual information and diffusion model in image super-resolution.
Neurocomputing, 2025

A Novel One-Dimensional Chaotic System for Image Encryption Through the Three-Strand Structure of DNA.
Entropy, 2025

A Novel One-Dimensional Chaotic System for Image Encryption in Network Transmission Through Base64 Encoding.
Entropy, 2025

GTRNet: Graph Topology-aware Refinement Network for User Role Classification in Social Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Towards A Distribution Alignment Framework for Incomplete Data Classification.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Combination of Information in Labeled and Unlabeled Data via Evidence Theory.
IEEE Trans. Artif. Intell., May, 2024

Convolutional Feature Aggregation Network With Self-Supervised Learning and Decision Fusion for SAR Target Recognition.
IEEE Trans. Instrum. Meas., 2024

SAR Target Recognition Based on Convolutional Feature Aggregation and Decision Combination.
Proceedings of the IGARSS 2024, 2024

2023
Safe-LBP: A visually meaningful image encryption scheme based on LBP and compressive sensing.
J. Inf. Secur. Appl., November, 2023

An evidential combination method with multi-color spaces for remote sensing image scene classification.
Inf. Fusion, May, 2023

A new multi-source Transfer Learning method based on Two-stage Weighted Fusion.
Knowl. Based Syst., February, 2023

GraphDPI: Partial label disambiguation by graph representation learning via mutual information maximization.
Pattern Recognit., 2023

2022
Novel and secure plaintext-related image encryption algorithm based on compressive sensing and tent-sine system.
IET Image Process., 2022

A Novel and Fast Encryption System Based on Improved Josephus Scrambling and Chaotic Mapping.
Entropy, 2022

2021
Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning.
IEEE Trans. Neural Networks Learn. Syst., 2021

2020
On a Symmetric Image Encryption Algorithm Based on the Peculiarity of Plaintext DNA Coding.
Symmetry, 2020

Evidential combination of augmented multi-source of information based on domain adaptation.
Sci. China Inf. Sci., 2020

A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation.
IEEE Access, 2020

2019
The System Design and Gait Planning for Walking-Climbing Hexapod.
Proceedings of the ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, 2019

2018
A Simple Chaotic Map-Based Image Encryption System Using Both Plaintext Related Permutation and Diffusion.
Entropy, 2018

A Symmetric Plaintext-Related Color Image Encryption System Based on Bit Permutation.
Entropy, 2018

Uncertain Pattern Classification Based on Evidence Fusion in Different Domains.
Proceedings of the 21st International Conference on Information Fusion, 2018


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