Guanchun Wang

Orcid: 0000-0002-9606-7052

According to our database1, Guanchun Wang authored at least 31 papers between 2009 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DMformer: Difficulty-Adapted Masked Transformer for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, June, 2026

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation.
CoRR, April, 2026

PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification.
IEEE Trans. Neural Networks Learn. Syst., March, 2026

Dual-Net: Dual Visual Spectral Affinity Monitoring Network for Hyperspectral Anomaly Detection.
IEEE Trans. Circuits Syst. Video Technol., March, 2026

Task-free Adaptive Meta Black-box Optimization.
CoRR, January, 2026

MSN: Rethinking Cross-Domain Automatic Modulation Recognition via Decoupled Modulation Signal Normalization.
IEEE Trans. Cogn. Commun. Netw., 2026

Tiny object detection based on dynamic scale-awareness label assignment and contextual enhancement.
Pattern Recognit., 2026

2025
OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection.
IEEE Trans. Circuits Syst. Video Technol., June, 2025

Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

EDDA:An Efficient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition.
IEEE J. Sel. Top. Signal Process., January, 2025

S<sup>2</sup>Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Multistage Enhancement Network for Tiny Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

A Patch-Level Region-Aware Module with a Multi-Label Framework for Remote Sensing Image Captioning.
Remote. Sens., 2024

S<sup>2</sup>Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification.
CoRR, 2024

2023
CAST: A Cascade Spectral-Aware Transformer for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances.
CoRR, 2023

DiffUCD: Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model.
CoRR, 2023

CTACL:Hyperspectral Image Change Detection Based on Adaptive Contrastive Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19.
Proceedings of the WSDM '21, 2021

2020
A Learnable Blur Kernel for Remote Sensing Image Retrieval.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Improving Neural Relation Extraction with Positive and Unlabeled Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2014
Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2011
Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment.
Decis. Anal., 2011

Improving aggregated forecasts of probability.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2009
Aggregating disparate judgments using a coherence penalty.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009


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