Assoiate professor/Research fellow/Doctoral supervisor
School of Information and Communication Engineering
Xi'an Jiaotong University
English Version - 毕 海霞
Associate Professor/Research Fellow Xi'an Jiaotong University Sep. 2021 - Now
Research Associate University of Bristol (UK) Faculty of Engnieerying 08/2019-06/2021 Supervised by Prof. Peter Flach
Post-doctoral Research Fellow University of Derby (UK) School of Computing 06/2018-07/2019 Supervised by Prof. Yong Xue
Ph.D. Xi'an Jiaotong University Computer Science 09/2013-06/2018 Supervised by Prof. Zongben Xu
M.S. Ocean University of China GIS 09/2003-06/2006 Supervised by Prof. Dong Wu
B.S. Ocean University of China Computer Science 09/1999-06/2003
Research interests:
1. Research on basic algorithms of machine learning, especially the machine learning algorithms with different degrees of supervision
2. Algorithms on remote sensing image processing: PolSAR/hyperspectral image classification; multi-source fused remote sensing image processing; InSAR phase wrapping
3. Digital health data processing: time-series data processing, activity recognition and indoor localization based on wearable devices and smart home data
In recent 5 years, I have published more than 30 papers in peer-reviewed international journals and conferences. Here are some representative works:
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 1区，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.
Applied Data Science (Postgraduate) University of Bristol Spring 2020
Data Analytics (Undergraduate ) University of Derby Spring 2019
2019 Best Reviewer of IEEE Geoscience and Remote Sensing Letters
2006 Best Graduated Postgraduate Ocean University of China
2003 Best Graduated Undergraduate Ocean University of China
I am recruiting Ph.D and Msc. students.
If you have interests, pls. contact me at haixia.bi@xjtu.edu.cn
(创新港)
