Aggregating disparate judgments using a coherence penalty. - Guanchun Wang; Sanjeev R. Kulkarni; H. Vincent Poor (CISS, 2009)

Improving aggregated forecasts of probability. - Guanchun Wang; Sanjeev R. Kulkarni; H. Vincent Poor; Daniel N. Osherson (CISS, 2011)

Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. - Guanchun Wang; Sanjeev R. Kulkarni; H. Vincent Poor; Daniel N. Osherson (Decis. Anal., 2011)

Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System. - Zhuoran Wang; Hongliang Chen; Guanchun Wang; Hao Tian 005; Hua Wu 003; Haifeng Wang 001 (EMNLP, 2014)

Improving Neural Relation Extraction with Positive and Unlabeled Learning. - Zhengqiu He; Wenliang Chen; Yuyi Wang 001; Wei Zhang 027; Guanchun Wang; Min Zhang 005 (AAAI, 2020)

A Learnable Blur Kernel for Remote Sensing Image Retrieval. - Zelin Peng; Guanchun Wang; Xiangrong Zhang; Xu Tang; Li Gao; Licheng Jiao (IGARSS, 2020)

WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19. - Yuan Zhang; Xiaoqing Zhang; Yichuan Hu; Guanchun Wang; Rui Yan 001 (WSDM, 2021)

GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images. - Xiangrong Zhang; Guanchun Wang; Peng Zhu; Tianyang Zhang 002; Chen Li 011; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2021)

Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Xu Tang; Huiyu Zhou 001; Licheng Jiao (IJCAI, 2022)

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. - Zelin Peng; Guanchun Wang; Lingxi Xie; Dongsheng Jiang; Wei Shen 002; Qi Tian 001 (ICCV, 2023)

CTACL:Hyperspectral Image Change Detection Based on Adaptive Contrastive Learning. - Shunli Tian; Xiangrong Zhang; Guanchun Wang; Xiao Han 012; Puhua Chen; Xina Cheng (IGARSS, 2023)

DiffUCD: Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model. - Xiangrong Zhang; Shunli Tian; Guanchun Wang; Huiyu Zhou 001; Licheng Jiao (CoRR, 2023)

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances. - Xiangrong Zhang; Tianyang Zhang 002; Guanchun Wang; Peng Zhu; Xu Tang; Xiuping Jia; Licheng Jiao (CoRR, 2023)

High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images. - Guanchun Wang; Xiangrong Zhang; Peng Zhu; Xu Tang; Puhua Chen; Licheng Jiao; Huiyu Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification. - Xiangrong Zhang; Xiyu Fan; Guanchun Wang; Puhua Chen; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

CAST: A Cascade Spectral-Aware Transformer for Hyperspectral Image Change Detection. - Xiangrong Zhang; Shunli Tian; Guanchun Wang; Xu Tang; Jie Feng 003; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang 002; Xiuping Jia; Licheng Jiao (CoRR, 2024)

A Patch-Level Region-Aware Module with a Multi-Label Framework for Remote Sensing Image Captioning. - Yunpeng Li 010; Xiangrong Zhang; Tianyang Zhang 002; Guanchun Wang; Xinlin Wang; Shuo Li 010 (Remote. Sens., 2024)

Multistage Enhancement Network for Tiny Object Detection in Remote Sensing Images. - Tianyang Zhang 002; Xiangrong Zhang; Xiaoqian Zhu; Guanchun Wang; Xiao Han 012; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

S2Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang 002; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

EDDA:An Efficient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition. - Xiangrong Zhang; Yifan Chen; Guanchun Wang; Yifang Zhang; Licheng Jiao (IEEE J. Sel. Top. Signal Process., 2025)

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model. - Guanchun Wang; Xiangrong Zhang; Yifei Zhang; Zelin Peng; Tianyang Zhang 002; Xu Tang; Licheng Jiao (CoRR, 2025)

Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang 002; Xu Tang; Huiyu Zhou 001; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2025)

OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection. - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Shunli Tian; Tianyang Zhang 002; Xu Tang; Licheng Jiao (IEEE Trans. Circuits Syst. Video Technol., 2025)