In recent years, I have published more than 40 papers in peer-reviewed international journals and conferences. Here are some representative works:

Ningwei Wang, Weiqiang Jin, Shirou Jing, Haixia Bi*, Guang Yang, Learning with Noisy Labels via Mamba and Entropy KNN Framework, Applied Soft Computing, Vol.169, Art. No.: 112596, 2025. (JCR Q1,IF: 7.2) Source Code: https://github.com/albert-jin/RelabelMamba. 

Ningwei Wang, Weiqiang Jin, Haixia Bi*, Chen Xu, Jinghuai Gao, A survey on Deep Learning for Few-Shot PolSAR Image Classification, Remote Sensing, Vol.16(24):46322024,2024(JCR Q1).

Honghao Chang, Haixia Bi*, Fan Li, Chen Xu, Jocelyn Chanussot, Danfeng Hong, Deep Symmetric Fusion Transformer for Multimodal Remote Sensing Data Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, Art No.:5224414, 2024, DOI: 10.1109/TGRS.2024.3476975, (JCR Q1,IF: 7.5) Source Code: https://github.com/HaixiaBi1982/DSymFuser.

Haixia Bi, Honghao Chang, Xiaotian Wang, Danfeng Hong, Cross-Attention-Driven Adaptive Graph Relational Network for MultiLabel Remote Sensing Scene Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, Art No.:5644115, 2024, DOI: 10.1109/TGRS.2024.3476089, (JCR Q1,IF: 7.5).

Sihan Yang, Haixia Bi*, Hai Zhang, Jian Sun, "SAM-UNet: Enhancing Zero-Shot Segmentation of SAM for Universal Medical Images", https://arxiv.org/abs/2408.09886, (Source code: https://github.com/Hhankyangg/sam-unet).

Xiaodi Guan, Fan Li, Haixia Bi*, Lijiao Gong, "Rank Learning Based Full-Resolution Quality Evaluation Method for Parsharpened Images", IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 17:833-846, 2024. (JCR Q1，IF: 5.5) 

Zuzheng Kuang, Haixia Bi*, Fan Li, Chen Xu, Jian Sun, "Polarimetry-inspired Contrastive Learning for Class-imbalanced PolSAR Image Classification", IEEE Transactions on Geoscience and Remote Sensing, Vol. 62: 5212819, 2024. (JCR Q1，IF：8.2,Source code: https://github.com/HaixiaBi1982/PiCL) 

Bingxuan Mao⁺, Honghao Chang⁺, Xiaohua Xing, Qiankun Zhang, Die Zou, Yin Liu, Jianquan Yao, Haixia Bi*, Liang Wu*, Designing ultra-broadband terahertz polarization converters based on transformer model, Optics Communications, 559: 130434, 2024.

Yuchen Wang, Ziyi Guo, Haixia Bi*, Danfeng Hong,  Chen Xu, "Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction", IGARSS 2024

Kang Liu, Zuzheng Kuang, Shirou Jing, Haixia Bi*, Yaochen Li, Chen Xu, "Diffusion-based Generative Self-supervised Model for Few-shot PolSAR Image Classification", IGARSS 2024

Ningwei Wang, Haixia Bi*, Fan Li, Chen Xu and Jinghuai Gao, “Self-Distillation Based Polarimetric Image Classification with Noisy and Sparse Labels”, Remote Sensing,2023, 15,5751 (JCR Q1，IF=5.4)

Zuzheng Kuang, Haixia Bi*, and Fan Li, “Complex-valued Self-supervised PolSAR Image Classification Integrating Attention Mechanism”，IGARSS 2023

Ningwei Wang, Haixia Bi*, Zhao Chen and Xiaotian Wang, "Complex-valued Fully Convolutional Network for PolSAR Image Classification with Noisy Labels" ，IGARSS 2023

Sihan Yang, Haixia Bi*, Xiaotian Wang and Danfeng Hong,  "Noise-tolerant Unsupervised Classification for PolSAR Image via Deep Clustering and Markov Random Field"，IGARSS 2023 

Haixia Bi, Miquel Perello-Nieto, Raul Santos-Rodriguez, Peter Flach, Ian Craddock, "An active semi-supervised deep learning model for human activity recognition”, Journal of Ambient Intelligence and Humanized Computing, 14(10), 13049-13065, 2023.  (Source code: https://github.com/HaixiaBi1982/ActSemiCNNAct)

Jian Wang, Fan Li, and Haixia Bi, “Gaussian Focal Loss: Learning Distribution Polarized Angle Prediction for Rotated Object Detection in Aerial Images”，IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 4707013. （JCR Q1，IF：8.1）

Haixia Bi, Miquel Perello-Nieto, Raul Santos-Rodriguez, Peter Flach, Ian Craddock, "An active semi-supervised deep learning model for human activity recognition”, Journal of Ambient Intelligence and Humanized Computing, 2022, DOI:10.1007/s12652-022-03768-2. Source code: https://github.com/HaixiaBi1982/ActSemiCNNAct.

Haixia Bi, Jing Yao, Zhiqiang Wei and Danfeng Hong, “PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field”, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2020.3034700, 2021.

Haixia Bi, Miquel Perello-Nieto, Raul Santos-Rodriguez and Peter Flach, “Human Activity Recognition Based on Dynamic Active Learning”, IEEE Journal of Healthcare and Biomedical Informatics, 2021, 25(4):922-934.

Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue and Zongben Xu, “Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field”, IEEE Transactions on Image Processing, 2020, 29:6601-6614.

Haixia Bi, Feng Xu, Zhiqiang Wei, Yong Xue and Zongben Xu, “An Active Deep Learning Approach for minimally-Supervised PolSAR Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11): 9378-9395.

Haixia Bi, Jian Sun and Zongben Xu,“A Graph-based Semisupervised Deep Learning Model for PolSAR Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (4):2116-2132. (ESI highly cited paper)

Haixia Bi, Jian Sun and Zongben Xu, “Unsupervised PolSAR Image Classification Using Discriminative Clustering”, IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(6):3531–3544.

Haixia Bi and Zhiqiang Wei, “A new phase unwrapping method based on region recognition and region expansion”, International Journal of Remote Sensing, 2016, 37(22):5287-5303.

Xiangyong Cao, Jing Yao, Xuefeng Fu, Haixia Bi, Danfeng Hong, “An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification”,  IEEE Geoscience and Remote Sensing Letters, 2021, 18(6):1104-1108.  (ESI highly cited paper)

Y Cui, J Zhu, S Zorasa, X Chenb, Haixia Bi, Y Qiao, Z Soleimania, “State-of-the-art review of 3DPV technology: Structures and models”, Energy Conversion and Management, 2019, 200: 112-130.

Patrick Merritt, Haixia Bi, Chris Windmill and Yong Xue, “Big Earth Data: A Comprehensive Analysis of Visualization Analytics Issues”, Big Earth Data, 2019, 2(4): 321-350.

Haixia Bi, Miquel Perello-Nieto, Emma Tonkin, Raul Santos-Rodriguez, Peter Flach, and Ian Craddock, “Attention Network-Based Human Activity Recognition Using Fused Sensor Data”, 4th International Conference on Artificial Intelligence and Computer Science (AICS), 2022.

Haixia Bi, Raul Santos-Rodriguez, Peter Flach, “PolSAR Image Classification via Robust Low-rank Feature Extraction and Markov Random Field”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2020.

Emma Tonkin, Miquel Perello-Nieto, Haixia Bi, and Antonis Vafeas, "Towards a Methodology for Acceptance Testing and Validation of Monitoring Bodyworn Devices”, ARDUOUS 2020.

Haixia Bi, Feng Xu, Zhiqiang Wei, Yong Xue, and Zongben Xu, “Unsupervised PolSAR Image Factorization with Deep Convolutional networks”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.

Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, and Zongben Xu, “An Active Deep Learning Approach for minimally-Supervised PolSAR Image Classification”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.

Haixia Bi, Yong Xue, Patrick Merritt and Chris Windmill, “A Heterogeneous and Interactive Big Earth Data Framework”, International Conference on Big Data Engineering (BDE), 2019.

Haixia Bi, Lin Xu, Xiangyong Cao, and Zongben Xu, “PolSAR image classification based on three-dimensional wavelet texture features and Markov random field”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

Haixia Bi, Jian Sun, “PolSAR Image Classification Using Discriminative Clustering”, International Workshop on Remote Sensing with Intelligent Processing (RSIP), 2017.

Haixia Bi, Zhiqiang Wei, "A coherent parameter calibration method for distributed array radar", IEEE International Conference on Communication Technology，2017: 1093-1097.