Embedded Files
About Me
About Me
My name is Bai Xue (薛白), and I am currently an Associate Research Scientist with the Computer Graphics Group, Department of Computer Science, Yale University. My research interests widely span the area of hyperspectral imaging, statistical signal processing, remote sensing, and inverse rendering.
Email: bai.xue (at) yale (dot) edu
Education
Education
Ph.D., Electrical Engineering, August 2019, University of Maryland, Baltimore County (UMBC, R1 University), Maryland, USA. (Directed by Dr. Chein-I Chang, IEEE Life Fellow, SPIE Fellow)
Dissertation: Subpixel Approaches to Multispectral and Hyperspectral Image Classification and Application
M.S., Electrical Engineering, May 2019, University of Maryland, Baltimore County, Maryland, USA
B.E., Automation, June 2015, Huazhong University of Science and Technology (HUST), Wuhan, Hubei, China
Employment
Employment
08/25 – now Associate Research Scientist of Computer Graphics Group, Department of Computer Science, Yale University, New Haven, Connecticut, USA. (Supervisor: Dr. Holly Rushmeier, ACM Fellow)
08/24 – 07/25 Postdoctoral Associate of Computer Graphics Group, Department of Computer Science, Yale University, New Haven, Connecticut, USA.
11/19 – 07/24 Research Associate of Remote Sensing Signal and Image Processing Laboratory (RSSIPL), Department of Computer Science and Electrical Engineering (CSEE), University of Maryland, Baltimore County (UMBC), Baltimore, Maryland, USA. (Supervisor: Dr. Chein-I Chang, IEEE Life Fellow, SPIE Fellow)
08/20 – 09/20 Research Scientist of Brimrose Corporation of America (BCA), Baltimore County, Maryland, USA.
07/16 – 07/17 Research Assistant of Center for Hyperspectral Imaging in Remote Sensing, Dalian Maritime University (DMU), Dalian, Liaoning, China.
Publications
Publications
Journal Papers:
B. Xue, C. Yu, Y. Wang, M. Song, S. Li, L. Wang, H.-M. Chen and C.-I Chang, "A Subpixel Target Detection Approach to Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 9, pp. 5093-5114, Sept. 2017. (Impact Factor: 8.125)
B. Xue, F. Li, M. Song, X. Shang, D. Cui, J. Chu, and S. Dai, “Crack Extraction for Polycrystalline Solar Panels,” Energies, vol. 14, no. 2, p. 374, Jan. 2021. (Impact Factor: 3.252)
B. Xue*, G. Cloud, S. Vishnyakov, Z. Mehta, E. Ramer, F. Jin, M. Song and C.-I Chang, “Standardization of Near Infrared Spectroscopies via Sample Spectral Correlation Equalization,” Analytica Chimica Acta, vol. 1252, p. 341031, Apr. 2023. (Front Cover Feature Article, *Corresponding Author, Impact Factor: 6.911)
F. Li, M. Song, B. Xue* and C. Yu, "Abundance Estimation Based on Band Fusion and Prioritization Mechanism," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-21, 2022, Art no. 5532621. (*Corresponding Author, Impact Factor: 8.125)
X. Shang, T. Yang, S. Han, M. Song and B. Xue*, "Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction Based on Density Peak Clustering," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 4999-5014, 2021. (*Corresponding Author, Impact Factor: 4.715)
C. Yu, B. Xue*, M. Song, Y. Wang, S. Li and C.-I Chang, "Iterative Target-Constrained Interference-Minimized Classifier for Hyperspectral Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1095-1117, April 2018. (*Corresponding Author, Impact Factor: 4.715)
M. Song, T. Yang, H. Cao, F. Li, B. Xue, S. Li and C.-I Chang, "Bi-Endmember Semi-NMF Based on Low-Rank and Sparse Matrix Decomposition," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5525616.
S. Chen, S. Zhong, B. Xue, X. Li, L. Zhao and C. Chang, "Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3244-3265, April 2021.
S. Chen, B. Xue, H. Yang, X. Li, L. Zhao, and C.-I. Chang, “Optical Remote Sensing Image Registration Using Spatial-Consistency and Average Regional Information Divergence Minimization via Quantum-Behaved Particle Swarm Optimization,” Remote Sensing, vol. 12, no. 18, p. 3066, Sep. 2020.
Y. Wang, L.-C. Lee, B. Xue, L. Wang, M. Song, C. Yu, S. Li and C.-I Chang, "A Posteriori Hyperspectral Anomaly Detection for Unlabeled Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 6, pp. 3091-3106, June 2018.
C. Yu, L.-C. Lee, C.-I Chang, B. Xue, M. Song and J. Chen, "Band-Specified Virtual Dimensionality for Band Selection: An Orthogonal Subspace Projection Approach," in IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2822-2832, May 2018.
L. Wang, H.-C. Li, B. Xue and C.-I Chang, "Constrained Band Subset Selection for Hyperspectral Imagery," in IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 11, pp. 2032-2036, Nov. 2017.
H.-M. Chen, H. Wang, J.-W. Chai, C.-C. Chen, B. Xue, L. Wang, C. Yu, Y. Wang, M. Song, and C.-I. Chang, “A Hyperspectral Imaging Approach to White Matter Hyperintensities Detection in Brain Magnetic Resonance Images,” Remote Sensing, vol. 9, no. 11, p. 1174, 2017.
C.-I Chang, L.-C. Lee, B. Xue, M. Song and J. Chen, "Channel Capacity Approach to Hyperspectral Band Subset Selection," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 10, pp. 4630-4644, Oct. 2017.
L. Wang, C.-I Chang, L.-C. Lee, Y. Wang, B. Xue, M. Song, C. Yu and S. Li, "Band Subset Selection for Anomaly Detection in Hyperspectral Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 9, pp. 4887-4898, Sept. 2017.
Conference Papers:
B. Xue, Y. Liu, D. Messinger, H. Rushmeier, “Advancing Remote Sensing and GIS Through Development of Hyperspectral Imaging Open-Source Ecosystem,” AGU Annual Meeting 2025. (Accepted)
M. Xia, B. Xue, R. Liang, H. Rushmeier, “Spectral Reconstruction with Uncertainty Quantification via Differentiable Rendering and Null-Space Sampling,” SIGGRAPH Asia 2025. (Accepted) (Project Website, Github)
B. Xue, B. Duanmu, H. Rushmeier, “Open-source Software Ecosystem Development for Hyperspectral Imaging,” Electronic Imaging, February 2-6, Burlingame, CA, 2025. (Presentation)
Y. Zhang, J. L. Dong, B. Xue, Y. Xiong, S. Gupta, M. V. Segbroeck, N. Shara, P. McGarvey, “Exploring the Utilization of Synthetic Data in Unsupervised Clustering for Opioid Misuse Analysis,” American Medical Informatics Association Annual Symposium, November 9-13, San Francisco, 2024.
Y. Zhang, B. Xue, J. L. Dong, Y. Xiong, S. Gupta, M. V. Segbroeck, N. Shara, P. McGarvey, “Anomaly Detection for Medical Data Synthesis Evaluation: A Case Study on Opioid Misuse” American Medical Informatics Association Annual Symposium, November 9-13, San Francisco, 2024. (Poster)
B. Xue and C.-I Chang, “Unsupervised iterative CEM-clustering based multiple Gaussian feature extraction for hyperspectral image classification,” SPIE, Algorithm, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, part of SPIE Deferens + Commercial Sensing, April 14-18, Baltimore, 2019.
B. Xue and C.-I Chang, “Iterative constrained energy minimization convolutional neural network for hyperspectral image classification,” SPIE, Algorithm, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, part of SPIE Deferens + Commercial Sensing, April 14-18, Baltimore, 2019.
B. Lampe, A. Bekit, C. Porta, B. Xue and C.-I Chang, “Unsupervised hyperspectral band selection in the compressive sensing domain,” SPIE, Algorithm, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, part of SPIE Deferens + Commercial Sensing, April 14-18, Baltimore, 2019.
A. Bekit, C.Porta, B. Lampe, B. Xue and C.-I Chang, “Unsupervised automatic target generation processing via compressive sensing,” SPIE, Algorithm, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, part of SPIE Deferens + Commercial Sensing, April 14-18, Baltimore, 2019.
S. Chen, X. Li, L. Zhao, B. Xue and C.-I Chang, “An iterative SIFT based on intensity and spatial information for remote sensing image registration,” SPIE, Algorithm, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, part of SPIE Deferens + Commercial Sensing, April 14-18, Baltimore, 2019.
B. Xue, S. Chen, C.-C. Liang, P. H. Hu and C.-I Chang, "Urban area impervious surface estimation by subpixel unmixing," 2019 IEEE/GRSS International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, Yokohama, Japan, 2019.
J. Feng, E. Y. Haskovic, S. Kutcher, S. B. Trivedi, J. Soos, C.-I. Chang, B. Xue, and N. S. Prasad, "Polarimetric hyperspectral imaging with acousto-optic tunable filter in the visible to shortwave infrared range," in Infrared Sensors, Devices, and Applications VIII, vol. 10766, p. 107660N. International Society for Optics and Photonics, Oct. 2018.
B. Xue, S.-Y. Chen, C. Yu, Y. Wang, L. Wang, M. Song, S. Li and C.-I Chang, "Kernel automatic target generation process," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 2017, pp. 636-639.
Y. Wang, B. Xue, L. Wang, H.-C. Li, L.-C. Lee, C. Yu, M. Song, S. Li and C.-I Chang, "Iterative anomaly detection," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 2017, pp. 586-589.
C. Yu, B. Xue, Y. Wang, M. Song, L. Wang, S. Li, S.-Y Chen and C.-I Chang, "Multi-class constrained background suppression approach to hyperspectral image classification," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 2017, pp. 3357-3360.
B. Xue, L. Wang, H.-C. Li, H. M. Chen, and C.-I. Chang, “Lesion detection in magnetic resonance brain images by hyperspectral imaging algorithms,” Remotely Sensed Data Compression, Communications, and Processing XII, Mar. 2016.
Book Chapters:
C. I. Chang, B. Xue, and C. Yu, “Target detection approaches to hyperspectral image classification,” Advances in Hyperspectral Image Processing Techniques, pp. 565–585, 2022.
Books:
C.-I Chang, Y. Wang, B. Xue, L. Wang, C. Yu, and M. Song, Hyperspectral Target Detection: Algorithm Design and Analysis. Wuhan, Hubei China: Hubei Science and Technology Publishing, 2021. ISBN: 9787570611980.
Professional Services
Professional Services
Leading Guest Editor, Sustainability, 2023.
Co-Guest Editor, Remote Sensing, 2023.
Invited VinFuture Prize Official Nominator (Since 2024)
Reviewer for IEEE Transaction on Geoscience and Remote Sensing (TGRS)
Reviewer for IEEE Transaction on Medical Imaging (TMI)
Reviewer for IEEE Geoscience and Remote Sensing Letters (GRSL)
Reviewer for IEEE Access
Reviewer for Elsevier Neural Network (NN)
Reviewer for Elsevier International Journal of Applied Earth Observation and Geoinformation (JAG)
Reviewer for Elsevier Pattern Recognition (PR)
Reviewer for Springer Earth Science Informatics (ESI)
Reviewer for SPIE Journal of Applied Remote Sensing (JARS)
Reviewer for Canadian Journal of Remote Sensing
Reviewer for MDPI Remote Sensing
Reviewer for MDPI Agronomy
Reviewer for MDPI Sensors
Reviewer for MDPI Information
Reviewer for BMS Current Medical Imaging
Page updated
Report abuse