Fengchao Xiong's Personal Website

Fengchao Xiong (熊凤超)

Ph.D, Associate Professor

Department of Artificial Intelligence, School of Computer Science and Engineering, Nanjing University of Science and Technology

CV: [English] [中文简历]

[Biography] [Researh] [Education] [Publications] [Projects] [Awards & Service]

Call for papers--> IET Computer Vision (IET CV) Special Issue "Spectral Imaging Powered Computer Vision" [CFP]. Deadline is 31 March 2023.

Call for participation-->The Second Hyperspectral Object Tracking Challenge. [CFP]. Deadline is 30th June 2022.

Call for papers--> Remote Sensing （中科院二区） Special Issue "Hyperspectral Object Tracking" [CFP]. Deadline is 15 August 2023.

Biography

I joined the school of computer science and engineering, Nanjing University of Science and Technology in October 2019, where I am an Associate Professor. I received my bachelor degree from school of software, Shandong University, in June, 2014. From 2014 to 2019, I studied in the college of computer science, Zhejiang University where I obtained my Ph.D degree in September 2019. I visited Wuhan University as an exchange student from September, 2011 to July, 2012 and Griffith University as a visiting scholar from November 2017 to November 2018. My research lies in computer vision and hyperspectral imaging. I am a co-receiptent of Best Student Paper Award of DICTA 2020 and Best Paper Award on Deep Learning for Earth Observation and Remote Sensing@DICTA 2021. I am actively seeking excellent students to work with me on machine learning and computer vision. If you are interested, do not hesitate to contact me via email.

组内计算资源充足，长期招聘优秀学生加入课题组进行科研训练、本科毕业设计以及读研。如果您对我的研究内容感兴趣，请邮件联系。

拟招2024年秋季入学硕士研究生1-2名，欢迎有保研资格的计算机、软件、电子、控制、物理、数学等相关专业学生通过邮件或电话联系。

News

[2023.03] One paper is accepted by Signal Processing.
[2023.02] One paper is recognized as the ESI highly cited paper.

Research

Hyperspectral Image Processing： Denoising、Unmixing、Reconstruction
Hyperspectral Video Analysis：Tracking、Detection
Remote Sensing Image Analysis：Road Extraction、Object Detection、Change Detection、Segmentation
Machine Learning：DeepLearning、Matrix/TensorDecomposition、DictionaryLearning、Low-rank/Sparse Representation

Working Experience

Associate Professor, School of computer science and engineering, Nanjing University of Science and Technology. 2022.07-
Lecturer, School of computer science and engineering, Nanjing University of Science and Technology. 2019.10-2022.06
Postdoc, Department of Computer and Information Science, University of Macau. 2021.12-2023.12 (Supervisor: Assoc. Prof. Jiantao Zhou)

Education

Ph.D in computer science. 2014.09 - 2019.09
Zhejiang University, Hangzhou, Zhejiang
Supervisor: Prof. Yuntao Qian
Visiting student. 2017.11-2018.12
Griffith University, Nathan, Queensland.
Supervisor: Assoc. Prof. Jun Zhou
B.E in software engineering. 2010 - 2014
Shandong University, Jinan, Shandong
Visiting student. 2011.09 - 2012.07
Wuhan University, Wuhan, Hubei

Selected Publications

Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF][code]
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian
IEEE Transactions on Image Processing (TIP), 2022. [PDF][code]
Learning a deep structural subspace across hyperspectral scenes with cross-domain VAE
Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian,
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF]
MAC-Net: Model Aided Nonlocal Neural Network for Hyperspectral Image Denoising
Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian,
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. [PDF] [code][ESI highly cited paper (Top 1%)]
SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian,
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. [PDF] [code]
M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images.
Xinhai Ye,Fengchao Xiong,Haifeng Zhao, Jun Zhou, Jianfeng Lu.
International Conference on Digital Image Computing: Techniques and Applications(DICTA),Melbourne, 2020. [PDF](Best Student Paper)
Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing.
Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou.
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020. [PDF]
Material based object tracking in hyperspectral videos
Fengchao Xiong, Jun Zhou, Yuntao Qian.
IEEE Transactions on Image Processing(TIP) vol. 29, no. 1, pp. 3719-3733, 2020.[PDF][code]
Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization.
Fengchao Xiong, Jun Zhou, Yuntao Qian.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),vol. 57, no. 12, pp. 10410-10425, Dec. 2019. [PDF] [Code]
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization.
Fengchao Xiong, Yuntao Qian, Jun Zhou.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),vol. 57, no. 4, pp. 2341-2357, April 2019 [PDF] [Code]
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter.
Kun Qian, Jun Zhou,Fengchao Xiong,Huixin Zhou,Juan Du.
International Conference on Smart Multimedia (ICSM), Toulon, 2018, pp. 308-319 [PDF, code]
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery.
Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuan Yan Tang
IEEE Transactions on Geoscience and Remote Sensing (TGRS), , vol. 55, no. 3, pp. 1776-1792, March 2017. [PDF][Code].

Awards & Service

Awards and Honors

SmartSat CRC/AI4Space Best Paper Award on Deep Learning for Earth Observation and Remote Sensing@DICTA 2021. 2021.12
Second Place of DIGIX Global AI Challenge@Jiangsu Chapter. 2021.9
Macau Young Scholar. 2021.8
Second Place of Hyperspectral Object Tracking@WHISPERS. 2021.3
DICTA Best Student Paper. 2020.12
Excellent Research Assistant. 2018.11
Excellent Graduate Student. 2017.9
Excellent Exchange Student Scholarship. 2012.9
Excellent Student Awards. 2012.9
National Aspiration Scholarship. 2011.9
Excellent Student Awards. 2011.9

Reviewer

International Journal of Computer Vision
IEEE Transactions on Signal Processing(TSP)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
IEEE Transactions on Instrumentation and Measurement (TIM)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
IEEE Journal of Selected Topics in Signal Processing (JSTSP)
Pattern Recognition (PR)
IEEE Geoscience and Remote Sensing Society Letters
Geo-spatial Information Science
Remote Sensing
Sensors
Knowledge Based System
Neural Processing Letters
International Journal of Remote Sensing
IET Computer Vision
IET Image Processing
IEEE International Conference on Multimedia and Expo (ICME), 2021, 2022
International Conference on Digital Image Computing:Techniques and Applications (DICTA),2020,2021, 2022
AAAI Conference on Artificial Intelligence 2022, 2023
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022
IEEE International Conference on Image Processing (ICIP) 2022

Volunteer

The 11th IAPR International Conference on Biometrics (ICB 2018)

Service

Area Chair: IEEE International Conference on Multimedia and Expo, 2023 (ICME 2023, CCF B)
Publicity Chair: International Conference on SMART MULTIMEDIA, 2021 (ICSM 2021)
Organizer: Hyperspectral Object Tracking Challenge, 2020 (HOT 2020)

Projects

Fengchao Xiong (PI), Tensor based spatial-spectral-temporal appearance modeling for hyperspectral object tracking, National Natural Science Foundation of China, 2021-2023, 24,0000 RMB
Fengchao Xiong (PI), Model-driven deep learning for hyperspectral imagery denoising, Jiangsu Provincial Natural Science Foundation of China, 2020.07-2023.07, 20,0000 RMB

Students

Ph.D.

Zhuanfeng Li(3rd year, co-advising): ICIP 2020; ICASSP 2022; TIP 2021(Major Revision)
Guanyiman Fu(2nd year, co-advising): IGARSS 2021; TGRS 2022

Master

Kun Tu (3rd year)
Tianhan Li (2nd year)
Yongle Sun (1st year)
Yijun Zhang (1st year)
Zhenxing Wu (incoming)
Jing Ye (incoming)

Alumni

Xinhai Ye (Master)--->Huawei, Shanghai: RS 2020; DICTA 2020 Best Student Paper; Outstanding Graduates

Side Zou (Master)--->Microsoft, SuZhou: SmartSat CRC/AI4Space Best Paper Award on Deep Learning for Earth Observation and Remote Sensing@DICTA 2021;