Basic Information

Assoiate professor/Research fellow/Doctoral supervisor

School of Information and Communication Engineering

Xi'an Jiaotong University

Education and Research Experience

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              

Scientific Research

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:

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, 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.

Teaching

Applied Data Science (Postgraduate)    University of Bristol       Spring 2020

Data Analytics (Undergraduate )           University of Derby        Spring 2019

Honors

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

Contact

I am recruiting Ph.D and Msc. students.

If you have interests, pls. contact me at haixia.bi@xjtu.edu.cn