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2020 – today
- 2025
[j7]Xiangrong Zhang
, Yifan Chen, Guanchun Wang, Yifang Zhang, Licheng Jiao:
EDDA:An Efficient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition. IEEE J. Sel. Top. Signal Process. 19(1): 140-153 (2025)- 2024
- [j6]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 Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [i6]Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xiuping Jia, Licheng Jiao:
S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification. CoRR abs/2404.18213 (2024) - 2023
- [j5]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 Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j4]Xiangrong Zhang, Xiyu Fan, Guanchun Wang, Puhua Chen, Xu Tang, Licheng Jiao:
MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j3]Xiangrong Zhang, Shunli Tian, Guanchun Wang, Xu Tang, Jie Feng, Licheng Jiao:
CAST: A Cascade Spectral-Aware Transformer for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c9]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 2023: 624-634 - [c8]Shunli Tian, Xiangrong Zhang, Guanchun Wang, Xiao Han, Puhua Chen, Xina Cheng:
CTACL:Hyperspectral Image Change Detection Based on Adaptive Contrastive Learning. IGARSS 2023: 7340-7343 - [i5]Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian:
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. CoRR abs/2303.07806 (2023) - [i4]Xiangrong Zhang, Shunli Tian, Guanchun Wang, Huiyu Zhou, Licheng Jiao:
DiffUCD: Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model. CoRR abs/2305.12410 (2023) - [i3]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. CoRR abs/2309.06751 (2023) - 2022
- [c7]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 2022: 1378-1384 - [i2]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. CoRR abs/2204.10068 (2022) - 2021
- [j2]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 Trans. Geosci. Remote. Sens. 59(4): 3518-3531 (2021) - [c6]Yuan Zhang, Xiaoqing Zhang, Yichuan Hu, Guanchun Wang, Rui Yan:
WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19. WSDM 2021: 898-901 - 2020
- [c5]Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang:
Improving Neural Relation Extraction with Positive and Unlabeled Learning. AAAI 2020: 7927-7934 - [c4]Zelin Peng, Guanchun Wang, Xiangrong Zhang, Xu Tang, Li Gao, Licheng Jiao:
A Learnable Blur Kernel for Remote Sensing Image Retrieval. IGARSS 2020: 1937-1940
2010 – 2019
- 2019
- [i1]Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang:
Improving Neural Relation Extraction with Positive and Unlabeled Learning. CoRR abs/1911.12556 (2019) - 2014
- [c3]Zhuoran Wang, Hongliang Chen, Guanchun Wang, Hao Tian, Hua Wu, Haifeng Wang:
Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System. EMNLP 2014: 57-67 - 2011
- [j1]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. Decis. Anal. 8(2): 128-144 (2011) - [c2]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson:
Improving aggregated forecasts of probability. CISS 2011: 1-5
2000 – 2009
- 2009
- [c1]Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor:
Aggregating disparate judgments using a coherence penalty. CISS 2009: 23-27
Coauthor Index
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