Guanchun Wang (王冠淳)

I am an Associate Professor at the School of Artificial Intelligence, Xidian University, and a master's supervisor. I received my Ph.D. degree in 2024 and B.Eng. degree in 2019 from Xidian University, both from the School of Artificial Intelligence, advised by Prof. Xiangrong Zhang. I am a member of the Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, led by Prof. Licheng Jiao.

My research interests include weakly supervised, multimodal and incremental learning, remote sensing image interpretation, and electromagnetic object intelligent interpretation. I have published 40+ papers, including 10+ first/corresponding-author papers in CAS Q1 journals and CCF A conferences such as ICLR, ICCV, ACM MM, IJCAI, IEEE TIP, TNNLS, TCSVT, TGRS, GRSM, ISPRS and Pattern Recognition, with 1 ESI hot paper and 3 ESI highly cited papers, 900+ citations in total (h-index 13, Google Scholar). I have also applied for or been granted 10+ national invention patents.

I serve as a reviewer for ICLR, CVPR, ECCV, AAAI, IJCAI, ACM MM, IEEE TNNLS, TMM, TCSVT, TGRS, JSTARS, ISPRS and Pattern Recognition. My honors include the Xidian University Outstanding Doctoral Dissertation Award, the Best Poster Award of the AI and Remote Sensing Science Interdisciplinary Forum (AIRS-2025), and the Silver Award of the CETC Electromagnetic Big Data Challenge.

40+ Papers Published in ICLR, ICCV, ACM MM, IJCAI, IEEE TIP, TNNLS, TCSVT, TGRS, GRSM, ISPRS and PR
10+ Lead Works First/corresponding-author papers in CAS Q1 journals and CCF A conferences
1 Hot + 3 Highly Cited Papers S2Mamba selected as an ESI hot paper (Top 0.1%), plus 3 ESI highly cited papers
900+ Citations, h-index 13 Indexed by Google Scholar; see the full and updated list on my Scholar profile

News

  • 2026.09🎉 PST-DUNet: A Progressive Spectral Topology-aware Deep Unfolding Network for Hyperspectral Image Super-Resolution was accepted by IEEE TGRS (CAS Q1 Top, IF 9.4).
  • 2026.09🎉 GeoSeC: Geometric-Semantic Collaborative Learning for Weakly Supervised Remote Sensing Image Segmentation was accepted by IEEE TIP (CAS Q1 Top, IF 15.3).
  • 2026.08🔥 S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification was selected as an ESI Hot Paper (Top 0.1%).
  • 2026.08🎉 Model Merging to Evolution: Parameter Space Exploration for Expert Models was accepted by PPSN (CCF B).
  • 2026.07🎉 StyleHCD: A Fast Adaptation Paradigm for Hyperspectral Change Detection via Style-conditioned Parameter Injector was accepted by ACM MM (CCF A).
  • 2026.05🎉 DDAD: Diffusion in Dimensionless Domain for Generalized Hyperspectral Anomaly Detection was accepted by IEEE TGRS (CAS Q1 Top, IF 9.4).
  • 2026.05🎉 MSN: Rethinking Cross-Domain Automatic Modulation Recognition via Decoupled Modulation Signal Normalization was accepted by IEEE TCCN (CAS Q1 Top, IF 8.0).
  • 2026.05🎉 Multi-granularity Prompt Learning with Vision-Language Model for Few-shot Remote Sensing Image Scene Classification was accepted by ISPRS (CAS Q1 Top, IF 12.9).
  • 2026.02🎉 Expanding Then Fusing: Weakly-supervised Remote Sensing Semantic Segmentation via Progressive Multi-modal Fusion was accepted by Pattern Recognition (CAS Q1 Top, IF 9.1).
  • 2026.02🎉 基于双曲状态空间模型的无线电信号调制识别 was accepted by 电子学报 (Acta Electronica Sinica) (CCF T1 Chinese journal).
  • 2026.02🎉 Cross-Image Federated Learning for Hyperspectral Image Classification was accepted by IEEE TNNLS (CAS Q1 Top, IF 8.9).
  • 2026.01🎉 Task-free Adaptive Meta Black-box Optimization was accepted by ICLR (CCF A).
  • 2026.01🎉 PixDiff: Multi-Resolution Diffusion Network with Pixelization for Hyperspectral Anomaly Detection was accepted by IEEE TGRS (CAS Q1 Top, IF 9.7).
  • 2026.01🎉 Exploring Difference Semantic Prior Guidance for Remote Sensing Image Change Captioning was accepted by Remote Sensing (CAS Q2, IF 4.3).

Projects and Service

Research Projects (as PI)

  • National Natural Science Foundation of China, Young Scientists Fund.
  • Natural Science Basic Research Program of Shaanxi Province, Department of Science and Technology of Shaanxi Province.
  • China Postdoctoral Science Foundation, Special Funded Program.
  • China Postdoctoral Science Foundation, General Program.
  • Shaanxi Postdoctoral Research Funding, Department of Human Resources and Social Security of Shaanxi Province.
  • Fundamental Research Funds for the Central Universities, Ministry of Finance and Ministry of Education.

Academic Service

  • Guest Editor for Remote Sensing.
  • Reviewer for conferences and journals including ICLR, CVPR, ECCV, AAAI, IJCAI, ACM MM, IEEE TNNLS, IEEE TMM, IEEE TCSVT, IEEE TGRS, IEEE JSTARS, ISPRS Journal, and Pattern Recognition.

Last updated: October 2026.

Research Interests

Zero-shot & Weakly Supervised Learning

Zero-shot and weakly supervised learning for object detection, semantic segmentation and scene classification.

Multimodal Large Models

Multimodal large models and parameter-efficient fine-tuning, and their application to remote sensing image interpretation.

Remote Sensing Image Interpretation

Object detection, land-cover segmentation and scene classification towards open-world and open-vocabulary settings.

Change & Anomaly Detection

Remote sensing image change detection and anomaly detection under zero-shot or weakly supervised conditions.

Electromagnetic Target Interpretation

Intelligent interpretation of electromagnetic targets in dynamic open scenarios: incremental learning, domain adaptation and few-shot learning.

Incremental & Domain Adaptation

Incremental, domain adaptation and multi-modal frameworks for remote sensing and signal modulation recognition.

Publications

Bold denotes our group members and * denotes corresponding author. The list below is grouped by year; the most up-to-date version is kept on Google Scholar.

2026

  1. Guanchun Wang, Xiangrong Zhang, Jianxun Lai, Zelin Peng, Tianyang Zhang, Chao Wang, Xu Tang, Licheng Jiao. Expanding Then Fusing: Weakly-supervised Remote Sensing Semantic Segmentation via Progressive Multi-modal Fusion. Pattern Recognition, 2026. CAS Q1 Top
  2. Guanchun Wang, Xinchang Xu, Xiangrong Zhang, Yifei Zhang, Zelin Peng, Tianyang Zhang, Xu Tang. StyleHCD: A Fast Adaptation Paradigm for Hyperspectral Change Detection via Style-conditioned Parameter Injector. ACM MM, 2026. CCF A
  3. Xiangrong Zhang, Jianxun Lai, Guanchun Wang*, Tianyang Zhang, Xu Tang. GeoSeC: Geometric-Semantic Collaborative Learning for Weakly Supervised Remote Sensing Image Segmentation. IEEE TIP, 2026. CAS Q1 Top
  4. Zhenyu Li, Xiangrong Zhang, Guanchun Wang, Huiyu Zhou, Xiao Han, Licheng Jiao. PST-DUNet: A Progressive Spectral Topology-Aware Deep Unfolding Network for Hyperspectral Image Super-Resolution. IEEE TGRS, 2026. CAS Q1 Top
  5. Xiangrong Zhang, Jieqiong Du, Guanchun Wang*, Shiqi Wu, Chaowei Fang, Xu Tang, Licheng Jiao. DDAD: Diffusion in Dimensionless Domain for Generalized Hyperspectral Anomaly Detection. IEEE TGRS, 2026. CAS Q1 Top
  6. Shiqi Wu, Xiangrong Zhang, Guanchun Wang, Xiao Han, Jin Zhu, Xina Cheng, Licheng Jiao. PixDiff: Multiresolution Diffusion Network With Pixelization for Hyperspectral Anomaly Detection. IEEE TGRS, 2026. CAS Q1 Top
  7. Zhenyu Li, Xiangrong Zhang, Lijing Zheng, Guanchun Wang, Licheng Jiao. Cross-Image Federated Learning for Hyperspectral Image Classification. IEEE TNNLS, 2026. CAS Q1 Top
  8. Yifan Chen, Xiangrong Zhang, Guanchun Wang, Ziyi Liu, Licheng Jiao. MSN: Rethinking Cross-Domain Automatic Modulation Recognition via Decoupled Modulation Signal Normalization. IEEE TCCN, 2026.
  9. Tianyang Zhang, Linpan Xu, Xiangrong Zhang, Xiao Han, Jin Zhu, Lianchao Zhang, Guanchun Wang, Licheng Jiao. Multi-granularity Prompt Learning with Vision-Language Model for Few-Shot Remote Sensing Image Scene Classification. ISPRS J. Photogramm. Remote Sens., 2026. CAS Q1 Top
  10. Xiao Han, Zhaoji Wu, Yunpeng Li, Xiangrong Zhang, Guanchun Wang, Biao Hou. CSSA: A Cross-Modal Spatial-Semantic Alignment Framework for Remote Sensing Image Captioning. Remote Sensing, 2026. CAS Q2
  11. Yunpeng Li, Xiangrong Zhang, Guanchun Wang*, Tianyang Zhang. Exploring Difference Semantic Prior Guidance for Remote Sensing Image Change Captioning. Remote Sensing, 2026. CAS Q2
  12. Guanchun Wang, Chenxiao Wu, Xiangrong Zhang, Zelin Peng, Jianxun Lai, Tianyang Zhang, Xu Tang. Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation. arXiv preprint, 2026. Under Review
  13. Chao Wang, Yi Guo, Zheng Tan, Guanchun Wang, Yanbiao Ma, Q. Duan, Peng Wu. Model Merging to Evolution: Parameter Space Exploration for Expert Models. PPSN, 2026.

2025

  1. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Licheng Jiao. S2Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification. IEEE TGRS, 2025. CAS Q1 Top ESI Hot Paper
  2. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Shunli Tian, Tianyang Zhang, Xu Tang, Licheng Jiao. OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection. IEEE TCSVT, 2025. CAS Q1 Top
  3. Guanchun Wang, Ziyi Liu, Xiangrong Zhang, Yifan Chen, Yifang Zhang, Jin Zhu, Licheng Jiao. PID: A Parameter-efficient Isolation Domain-incremental Learning Framework for Signal Modulation Classification. IEEE TNNLS, 2025. CAS Q1 Top
  4. Guanchun Wang, Xiangrong Zhang, Yifei Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Licheng Jiao. ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model. ACM MM, 2025. CCF A
  5. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Huiyu Zhou, Licheng Jiao. Negative Deterministic Information-based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation. IEEE TNNLS, 2025. CAS Q1 Top
  6. Xiangrong Zhang, Rongxia Qiu, Shiqi Wu, Guanchun Wang*, Xiao Han, Yifei Jiang, Jin Zhu, Licheng Jiao. Dual-Net: Dual Visual Spectral Affinity Monitoring Network for Hyperspectral Anomaly Detection. IEEE TCSVT, 2025. CAS Q1 Top
  7. Tianyang Zhang, Chaozhuo Hua, Xiangrong Zhang, Guanchun Wang, Xiao Han, Licheng Jiao. Tiny Object Detection based on Dynamic Scale-awareness Label Assignment and Contextual Enhancement. Pattern Recognition, 2025. CAS Q1 Top
  8. Shiqi Wu, Xiangrong Zhang, Guanchun Wang, Puhua Chen, Jing Gu, Xina Cheng, Licheng Jiao. VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection. Remote Sensing, 2025. CAS Q2
  9. Yunpeng Li, Chengjin Tao, Meng Liu, Xiangrong Zhang, Guanchun Wang, Tianyang Zhang, Dong Zhao, Dabao Wang. Feature Refinement and Rethinking Attention for Remote Sensing Image Captioning. Scientific Reports, 2025.
  10. Zelin Peng, Guanchun Wang, Zhengqin Xu, Xiaokang Yang, Wei Shen. DMformer: Difficulty-Adapted Masked Transformer for Semi-Supervised Medical Image Segmentation. IEEE JBHI, 2025.
  11. Jiawei Zhang, Xiangrong Zhang, Junxiao Li, Xu Tang, Tianyang Zhang, Guanchun Wang, Feixiang Liu, Licheng Jiao. Shadow-Aware 3D Gaussian Splatting for Multi-View Satellite Images. IGARSS, 2025.

2024

  1. Tianyang Zhang, Xiangrong Zhang, Xiaoqian Zhu, Guanchun Wang, Xiao Han, Xu Tang, Licheng Jiao. Multistage Enhancement Network for Tiny Object Detection in Remote Sensing Images. IEEE TGRS, 62:1-12, 2024. CAS Q1 Top
  2. Xiangrong Zhang, Yifan Chen, Guanchun Wang, Yifang Zhang, Licheng Jiao. EDDA: An Efficient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition. IEEE JSTSP, 2024. CAS Q1
  3. Yunpeng Li, Xiangrong Zhang, Tianyang Zhang, Guanchun Wang, Xinlin Wang, Shuo Li. A Patch-Level Region-Aware Module with a Multi-Label Framework for Remote Sensing Image Captioning. Remote Sensing, 16:3987-4007, 2024. CAS Q2
  4. Caijin Xu, Shunli Tian, Xiangrong Zhang, Yifang Zhang, Guanchun Wang. Radar Antenna Scanning Type Identification Based on the Fusion of Multiple Temporal Features. J. Phys.: Conf. Ser., 2024.

2023

  1. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xiuping Jia, Xu Tang, Licheng Jiao. MOL: Towards Accurate Weakly Supervised Remote Sensing Object Detection via Multi-view nOisy Learning. ISPRS J. Photogramm. Remote Sens., 196:457-470, 2023. CAS Q1 Top
  2. Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian. USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. ICCV, pp. 624-634, 2023. CCF A
  3. Xiangrong Zhang, Tianyang Zhang, Guanchun Wang, Peng Zhu, Xu Tang, Xiuping Jia, Licheng Jiao. Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances. IEEE GRSM, 11(4):8-44, 2023. CAS Q1 Top
  4. Guanchun Wang, Xiangrong Zhang, Peng Zhu, Xu Tang, Puhua Chen, Licheng Jiao, Huiyu Zhou. High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images. IEEE TGRS, 61:1-14, 2023. CAS Q1 Top
  5. Xiangrong Zhang, Shunli Tian, Guanchun Wang, Xu Tang, Jie Feng, Licheng Jiao. CAST: A CAscade Spectral aware Transformer for Hyperspectral Image Change Detection. IEEE TGRS, 61:1-14, 2023. CAS Q1 Top
  6. Xiangrong Zhang, Xiyu Fan, Guanchun Wang, Puhua Chen, Xu Tang, Licheng Jiao. MFGNet: Multi-branch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification. IEEE TGRS, 61:1-13, 2023. CAS Q1 Top
  7. Shunli Tian, Xiangrong Zhang, Guanchun Wang, Xiao Han, Puhua Chen, Xina Cheng. CTACL: Hyperspectral Image Change Detection based on Adaptive Contrastive Learning. IGARSS, pp. 7340-7343, 2023.
  8. Xiangrong Zhang, Shunli Tian, Guanchun Wang, Huiyu Zhou, Licheng Jiao. DiffUCD: Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model. arXiv preprint, 2023.
  9. Zheng Yang, Xiyu Fan, Yifang Zhang, Caijin Xu, Guanchun Wang, Xiangrong Zhang. VAE and Feature Fusion Based Open-Set Point Generation Network for Open-Set Radar Models Recognition. ICICC, 2023.
  10. Yifang Zhang, Xiyu Fan, Xiangrong Zhang, Caijin Xu, Guanchun Wang. VAE-based Multi-domain Feature Alignment and Generative Network for Few-Shot Radar Models Identification. ICIPS, 2023.

2022

  1. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao. Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. IJCAI, pp. 1378-1384, 2022. CCF A

2020 – 2021

  1. Xiangrong Zhang, Guanchun Wang*, Peng Zhu, Tianyang Zhang, Chen Li, Licheng Jiao. GRS-Det: An Anchor-free Rotation Ship Detector based on Gaussian-mask in Remote Sensing Images. IEEE TGRS, 59(4):3518-3531, 2021. CAS Q1 Top
  2. Zelin Peng, Guanchun Wang, Xiangrong Zhang, Xu Tang, Li Gao, Licheng Jiao. A Learnable Blur Kernel for Remote Sensing Image Retrieval. IGARSS, pp. 1937-1940, 2020.
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