Xue-Qiang Fan (樊学强)

ResearchGate  /  Google Scholar  /  Github  /  fanxueqqqiang@gmail.com  /  English CV & Chinese CV

Brief Bio

Xue-Qiang Fan is currently a Ph.D. Candidate major in School of Computer and Information, Information and Communication Engineering, Hefei University of Technology, supervised by Prof. Zhong-Yi Guo.

Currently, my primary research interest is to design effective visual understanding models for visual systems, involving Artificial Intelligence, Pattern Recognition, Polarization Vision, and Data Mining.

Specifically, my recent endeavor is on Polarization Scattering Imaging, aiming to reconstruct objects hidden inside scattering media (e.g., turbid water and haze) from speckle pattern-carrying polarization information. I am also conducting research on Scene Confusing-Discovery, using Polarization Information to mine the Camouflaged/Confusing/Special yet meaningful object/region in the scene. These objects are very common in daily life scenes but can confuse the vision systems due to their inherently special properties. I am pursuing exploring useful cues based on Polarization and effective methods for accurate detection.

Additionally, my early work focused on Bioinformatics, specifically identifying biochemical properties and functions of Proteins, RNA, and DNA (e.g., identifying DNA N6-Methyladenine Sites), which are the cornerstone of providing more detailed information for Protein Drug Design and Molecular Diagnostics.

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Recent News

  • [2024/06/24] Xue-Qiang Fan et al.'s paper entitled "Ense-i6mA: Identification of DNA N6-methyladenine Sites Using XGB-RFE Feature Selection and Ensemble Machine Learning" was accepted by IEEE/ACM Trans. Comput. Biol. Bioinf. ( CCF B , 中科院3区, IF=4.5). The work was accepted outright after close to two years of review with no major or minor revisions.
  • [2024/03/27] Xue-Qiang Fan et al.'s paper entitled "LMPC2D3DCNet: Infrared Polarization-Empowered Full-Time Road Detection via Lightweight Multi-Pathway Collaborative 2D/3D Convolutional Networks" was accepted by IEEE Trans. Intell. Transp. Syst. (CCF B, 中科院1区 TOP, IF=8.5)
  • [2024/03/14] Xue-Qiang Fan et al.'s paper entitled "Improved Polarization Scattering Imaging Using Local-Global Context Polarization Feature Learning Framework" was accepted by Opt. Lasers Eng. (中科院2区, IF=4.6)
  • [2023/12/12] Our paper entitled "Dynamic polarization fusion network (DPFN) for imaging in different scattering systems" was accepted by Opt. Express (中科院2区 TOP, IF=3.80)
  • [2023/10/16] Xue-Qiang Fan et al.'s paper entitled "TSMPN-PSI: High-performance polarization scattering imaging based on three-stage multi-pipeline networks" was accepted by Opt. Express (中科院2区 TOP, IF=3.80)
  • [2023/02/01] Xue-Qiang Fan et al.'s paper entitled "I-DNAN6mA: Accurate Identification of DNA N6-Methyladenine Sites Using the Base-Pairing Map and Deep Learning" was accepted by J. Chem. Inf. Model. (中科院2区 TOP, IF=6.16)
  • [2022/12/16] Our paper entitled "Self-attention module in multi-scale improved U-net (SAM-MIU-net) motivating high-performance polarization scattering imaging" was accepted by Opt. Express (中科院2区 TOP, IF=3.83)
  • [2022/05/10] Congratulations, Xue-Qiang Fan successfully graduated from Zhejiang University of Technology, School of Information Engineering with the M.S. degree in Control Science and Engineering. From July 2019 to May 2022, he has got 2 SCI-indexed papers and 1 paper under review as the First Author, and 2 papers accepted as the Co-Author. Besides, he has received 8 patents, of which 4 have been authorized, and 4 software publications have been authorized, and won 1 First prize and 1 Second prize in an academic competition for university students. After that, he will continue to Hefei University of Technology to pursue his Ph.D. degree.
  • [2021/08/29] Xue-Qiang Fan et al.'s paper entitled "Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework" was accepted by Anal. Biochem. (中科院3区, IF=3.65)
Publications ( # Contribution equally; * Corresponding authors)

LSTSM (Learning to See Through the Scattering Media): Towards a general-purpose framework for multi-modality polarization scattering imaging


Xue-Qiang Fan, Long-Yu Qiao, Bing Lin, Wei-Yun Chen, Peng Peng, Zhong-Yi Guo*
In Preparation, 2024

Meta-DUNET-UPI: Improving polarization imaging through highly turbid underwater using a deformable network and meta-learning


Xue-Qiang Fan, Bing Lin, Zhong-Yi Guo*
Submitted, 2023

Ense-i6mA: Identification of DNA N6-methyladenine Sites Using XGB-RFE Feature Selection and Ensemble Machine Learning


Xue-Qiang Fan, Bing Lin, Jun Hu*, Zhong-Yi Guo*
IEEE/ACM Trans. Comput. Biol. Bioinf., 2024. CCF B, JCR 1区, 中科院3区, IF=4.5

LMPC2D3DCNet: Infrared Polarization-Empowered Full-Time Road Detection via Lightweight Multi-Pathway Collaborative 2D/3D Convolutional Networks


Xue-Qiang Fan, Bing Lin, Zhong-Yi Guo*
IEEE Trans. Intell. Transp. Syst., 2024. CCF B, JCR 1区, 中科院1区 TOP, IF=8.5

PDF  |  Code  |  BibTex

Improved Polarization Scattering Imaging Using Local-Global Context Polarization Feature Learning Framework


Xue-Qiang Fan, Wei-Yun Chen, Bing Lin, Peng Peng, Zhong-Yi Guo*
Opt. Lasers Eng. 2024;178:108194. JCR 1区, 中科院2区, IF=4.6

PDF  |  Code  |  BibTex

Dynamic polarization fusion network (DPFN) for imaging in different scattering systems


Bing Lin, Xue-Qiang Fan, Peng Peng, Zhong-Yi Guo*
Opt. Express 32, 511-525 (2024). JCR 2区 中科院2区TOP IF=3.8

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TSMPN-PSI: High-performance polarization scattering imaging based on three-stage multi-pipeline networks


Xue-Qiang Fan, Bing Lin, Kai Guo, Bing-Yi Liu, Zhong-Yi Guo*
Opt. Express 31, 38097-38113 (2023). JCR 2区 中科院2区TOP IF=3.8

PDF  |  Code  |  BibTex

I-DNAN6mA: Accurate Identification of DNA N6-Methyladenine Sites Using the Base-Pairing Map and Deep Learning


Xue-Qiang Fan, Bing Lin, Jun Hu*, Zhong-Yi Guo*
J. Chem. Inf. Model. 2023, 63, 3, 1076–1086. JCR 1区 中科院2区TOP IF=5.6

PDF  |  Project  |  Code  |  BibTex

Real-time Defect Detection Scheme Based on Deep Learning for Laser Welding System


Peng Peng, Kui Fan, Xue-Qiang Fan, Hong-Ping Zhou, Zhong-Yi Guo*
IEEE Sensors Journal, vol. 23, no. 15, pp. 17301-17309. JCR 1区 中科院2区TOP IF=4.3

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High-performance deep-learning based polarization computational ghost imaging with random patterns and orthonormalization


Chen-Xiang Xu, De-Kui Li, Xue-Qiang Fan, Bing Lin, Kai Guo, Zhi-Ping Yin, Zhong-Yi Guo*
Phys. Scr. 2023, Vol.98, Issue 6. JCR 2区 中科院3区 IF=2.9

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High-Performance Polarization Imaging Reconstruction in Scattering System under Natural Light Conditions with an Improved U-Net


Bing Lin, Xue-Qiang Fan, De-Kui Li, Zhong-Yi Guo*
Photonics 2023, 10, 204. JCR 3区 中科院3区 IF=2.4

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Self-attention module in multi-scale improved U-net (SAM-MIU-net) motivating high-performance polarization scattering imaging


Bing Lin, Xue-Qiang Fan, Zhong-Yi Guo*
Optics Express, Vol. 31, Issue 2, pp. 3046-3058 (2023). JCR 2区 中科院2区TOP IF=3.8

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Influencing Effects of Fabrication Errors on Performances of the Dielectric Metalens


Guo-Qing Xu, Qian-Long Kang, Xue-Qiang Fan, Guang-Hui Yang, Kai Guo, Zhong-Yi Guo*
Micromachines 13.12 (2022): 2098. JCR 2区 中科院3区 IF=3.4

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Research Progress of imaging through scattering media based on the deep learning (In Chinese)


Bing Lin, Xue-Qiang Fan, De-Kui Li, Zhong-Yi Guo*
Chinese Journal of Quantum Electronics, 2022, 39(6): 880-898.

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Full-space metasurface in mid-infrared based on phase change material of VO2


Xue-Qiang Fan, Qian-Long Kang, Hui-Fang Ai, Kai Guo*, Zhong-Yi Guo*
Journal of Optics 52.3 (2023): 1336-1344.

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Improving RNA Base Interactions Prediction Based on Transfer Learning and Multi-view Feature Fusion (In Chinese)


Xiao-Fei Wang, Xue-Qiang Fan, Zhang-Wei Li*
Computer Science, 2023, 50(3): 164-172.

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Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network


Xue-Qiang Fan, Jun Hu*, Yu-Xuan Tang, Dong-Jun Yu*, Gui-Jun Zhang*
Analytical Biochemistry, 2022, 654: 114802. JCR 2区 中科院3区 IF=3.65

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Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework


Xue-Qiang Fan, Jun Hu*, Ning-Xin Jia, Dong-Jun Yu*, Gui-Jun Zhang*
Analytical Biochemistry, 2021, 631: 114358. JCR 2区 中科院3区 IF=3.65

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Identification of ligand-binding residues using protein sequence profile alignment and query-specific support vector machine model


Jun Hu*, Liang Rao, Xue-Qiang Fan, Dong-Jun Yu*, Gui-Jun Zhang*
Analytical biochemistry, 2020, 604: 113799. JCR 2区 中科院3区 IF=3.65

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Honors & Awards
  • The National Scholarship of Zhejiang University of Technology 2021/2020