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][Students] [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 Third Hyperspectral Object Tracking Challenge. [CFP]. Deadline is 11st August 2023.

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

Biography

Fengchao Xiong, an associate professor at Nanjing University of Science and Technology. He obtained his bachelor's degree from Shandong University in 2014 and his doctoral degree from Zhejiang University in 2019. He visited Wuhan University, Griffith University, and the University of Macau in 2011-2012, 2017-2018, and 2021-2023, respectively. His primary research focuses on hyperspectral vision and remote sensing image analysis. He has published more than 10 papers in top-tier journals such as IEEE Transactions on Image Processing (TIP) and IEEE Transactions on Geoscience and Remote Sensing (TGRS), including one highly cited paper. He has received awards such as the Best Reviewer from IEEE TGRS, the Best Student Paper Award from DICTA, and recognition as an outstanding supervisor in the China Graduate Artificial Intelligence Innovation Contest. He has led projects including the National Natural Science Foundation of China Youth and General Projects, Jiangsu Provincial Natural Science Foundation Youth Project, Nanjing University of Science and Technology Youth Talent Cultivation Project, 173 Project Sub-Project, and Key Laboratory Open Project. He also serves as a Topical Associate Editor for IEEE TGRS, Guest Editor for Remote Sensing, Guest Associate Editor for IET Computer Vision, and Area Chair for ICME.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2-3名，欢迎计算机、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。组内信息见招生信息

News

[2023.10] One paper on Guest Editorial: Spectral Imaging Powered Computer Vision is accepted to IET Computer Vision.
[2023.09] One paper on hyperspectral image denoising is accepted to IEEE TGRS.
[2023.09] One paper on cross-scene hyperspectral image classification is accepted to IET CV.
[2023.07] One paper on single pixel hyperspectral imaging is accepted to Optics Communications.
[2023.07] One paper on hyperspectral image denoising is accepted to IEEE TGRS.
[2023.06] One paper is accepted to JIG.
[2023.06] Invited to the editorial board of IEEE TGRS as TAE.
[2023.04] One paper on hyperspectral object detection is accepted by GRSL.
[2023.04] One paper on hyperspectral imaging is accepted by Optics Express.
[2023.04] Recognized as the Best Reviewer of TGRS 2022.
[2023.03] One paper on hyperspectral object tracking is accepted by TIP.
[2023.03] One paper on hyperspectral image denoising is accepted by ICME.
[2023.03] One paper on hyperspectral imaging is accepted by Signal Processing.
[2023.02] One paper is recognized as the ESI highly cited paper.

Research

Hyperspectral Computer Vision： Denoising、Unmixing、Reconstruction、Tracking、Detection
Remote Sensing Image Analysis：Road Extraction、Object Detection、Change Detection、Segmentation
Machine Learning：Deep Learning、Matrix/TensorDecomposition、Dictionary Learning、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: 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: 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

Guest Editorial: Spectral imaging powered computer vision
Jun Zhou, Fengchao Xiong*, Lei Tong, Naoto Yokoya, Pedram Ghamisi
IET Computer Vision (IET CV), 2023
Deep Parameterized Neural Networks for Hyperspectral Image Denoising
Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Multitask Sparse Representation Model Inspired Network for Hyperspectral Image Denoising
Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Multi-task Convolutional Sparse Coding Network for Hyperspectral Image Denoising
Kun Tu, Fengchao Xiong, Guanyiman Fu, Jianfeng Lu
Journal of Image and Graphics (JIG (In Chinese)) ,2023.
Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physics-informed learning
Hui Xie, Zhuang Zhao, Jing Han, Fengchao Xiong, Yi Zhang
Optics Express (OE), [PDF] ,2023.
Learning a Deep Ensemble Network for Hyperspectral Object Tracking
Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian
IEEE Transactions on Image Processing (TIP), 2023.
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

Editor

IEEE Transactions on Geoscience and Remote Sensing: Topical Associate Editor

Awards and Honors

Best Reviewer of TGRS 2022. 2023.04
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),Physical-information Constrained Neural Network for Hyperspectral Image Denoising, Natural Science Foundation of China, 2024.01 -- 2027.12, 490,000 RMB
Fengchao Xiong (PI),Material-information Guided Spatial-Spectral-Temporal Tracking in Hyperspectral Videos, Fundamental Research Funds for the Central Universities, 2023.08-2026.08, 200,000 RMB
Fengchao Xiong (PI), Deep Learning-based Natural Element Change Detection，State Key Laboratory of Geo-Information Engineering, 2023.07 -- 2024.07, 30,000 RMB
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, Natural Science Foundation of Jiangsu Province, 2020.07-2023.07, 20,0000 RMB

Students

Ph.D.

Wenjie Dong(4th year, co-advising with Prof. Jianfeng Lu):
Zhuanfeng Li(4th year, co-advising with Prof. Jianfeng Lu): ICIP 2020; ICASSP 2022; TIP 2023; TGRS 2023 (Major Revision)
Guanyiman Fu(3rd year, co-advising with Prof. Jianfeng Lu): IGARSS 2021; TGRS 2022; TIP 2023 (Under Review)
Zhengyu Liu(3rd year, co-advising with Prof. Chunxia Zhao):
Bozhou An(4th year, co-advising with Prof. Chunxia Zhao):

Master

Mr. Tianhan Li (3rd year), IGARSS 2023, TGRS 2023(Under Review)
Mr. Yongle Sun (2nd year)
Ms. Yijun Zhang (2nd year), co-advising with Prof. Jianfeng Lu
Mr. Zhenxing Wu (1st year)
Mr. Jing Ye (1st year)
Mr. Xiong Zhang (Incoming)
Mr. Qianli Yu (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;
Kun Tu (Master)--->ZTE, Nanjing: JIG; Journal of Remote Sensing;