Home
Biography
Research
Publication
Collaborator

Publications

Note that the asterisk * represents the corresponding author. Here is a full list of my publications:

To Be Submitted

  1. Cong Wang, Mengchu Zhou, Witold Pedrycz, Zhiwu Li, and Xuelong Li*, ‘‘G-image segmentation: A noise-estimation-driven Fuzzy C-Means clustering framework,’’ IEEE Transactions on Pattern Analysis and Machine Intelligence, To Be Submitted, 2024. (SCI Q1, IF: 23.6, Regular Paper)

  2. Cong Wang, Mengchu Zhou, Witold Pedrycz, Zhiwu Li, and Xuelong Li*, ‘‘Graph bilateral filtering,’’ IEEE Transactions on Image Processing, To Be Submitted, 2024. (SCI Q1, IF: 10.6, Regular Paper)

  3. Cong Wang, Mengchu Zhou, Witold Pedrycz, and Xuelong Li*, ‘‘Residual-driven Fuzzy C-Means clustering for segmenting images with Poisson noise,’’ IEEE Transactions on Fuzzy Systems, To Be Submitted, 2024. (SCI Q1, IF: 11.9, Full Paper)

  4. Cong Wang, Mingyuan Wang, and Xuelong Li*, ‘‘Information capacity: An indicator for information output assessment,’’ IEEE Transactions on Systems, Man, and Cybernetics: Systems, To Be Submitted, 2024. (SCI Q1, IF: 8.7, Regular Paper)

  5. Cong Wang, Mengchu Zhou, Witold Pedrycz, Zhiwu Li, and Xuelong Li*, ‘‘AFCM: Automatic Fuzzy C-Means clustering for noisy image segmentation,’’ IEEE Transactions on Fuzzy Systems, To Be Submitted, 2024. (SCI Q1, IF: 11.9, Full Paper)

Submitted and Under Review

  1. Heng Wang, Cong Wang, and Yuan Yuan*, ‘‘Hierarchical context measurement network for single hyperspectral image super-resolution,’’ IEEE Transactions on Multimedia, Under Review, 2024. (Co-first Author, SCI Q1, IF: 7.3, Regular Paper)

  2. Mingxin Jin, Cong Wang, and Yuan Yuan*, ‘‘Dual heterogeneous network for hyperspectral image classification,’’ IEEE Transactions on Circuits and Systems for Video Technology, Under Review, 2024. (Co-first Author, SCI Q1, IF: 8.4, Regular Paper)

  3. Mingxin Jin, Cong Wang, and Yuan Yuan*, ‘‘Statistical texture awareness network for hyperpsectral image classification,’’ IEEE Transactions on Geoscience and Remote Sensing, Under Review, 2024. (Co-first Author, SCI Q1, IF: 8.2, Regular Paper)

  4. Haoning Li, Cong Wang, and Qinghua Huang*, ‘‘Employing iterative feature selection in fuzzy rule-based binary classification,’’ IEEE Transactions on Fuzzy Systems, Under Review, 2024. (Co-first Author, SCI Q1, IF: 11.9, Full Paper)

  5. Tailong Jing, Cong Wang*, Witold Pedrycz, Sheng Du, and Zhiwu Li*, ‘‘Human-centric fuzzy reinforcement learning policies by particle swarm optimization,’’ Expert Systems with Applications, Under Review, 2024. (SCI Q1, IF: 8.5, Regular Paper)

  6. Jianbin Yang, Cong Wang*, Hui Hou, Mingyuan Wang, and Xuelong Li, ‘‘Feature-driven variational mesh denoising,’’ IEEE Transactions on Circuits and Systems for Video Technology, Submitted, 2024. (SCI Q1, IF: 8.4, Regular Paper)

  7. Ke Li, Di Wang, Haojie Xu, Haodi Zhong, and Cong Wang*, ‘‘Language-guided progressive attention for visual grounding in remote sensing images,’’ IEEE Transactions on Geoscience and Remote Sensing, Under Review, 2024. (SCI Q1, IF: 8.2, Regular Paper)

  8. Qinghua Huang, Hao Xu, Haoning Li, and Cong Wang*, ‘‘Interactive learning between features and classifiers by constructing a nested evolutionary framework,’’ IEEE Transactions on Neural Networks and Learning Systems, Under Review, 2024. (SCI Q1, IF: 10.4, Regular Paper)

  9. Tailong Jing, Cong Wang*, Witold Pedrycz, Giancarlo Succi, and Zhiwu Li*, ‘‘Time series classification based on image transformation and wavelet convolutional neural networks,’’ Applied Soft Computing, Under Review, 2024. (SCI Q1, IF: 8.7, Regular Paper)

  10. Cong Wang, Xin Tan, Qinghua Huang*, and Xuelong Li*, ‘‘Fast and robust structural health monitoring,’’ IEEE Transactions on Instrumentation and Measurement, Submitted, 2024. (SCI Q1, IF: 5.6, Regular Paper)

  11. Cong Wang, Mengchu Zhou*, Witold Pedrycz, Zhiwu Li, and Xuelong Li*, ‘‘G-image segmentation: Partition-sparse Fuzzy C-Means clustering incorporating spatial information and Graph wavelet,’’ IEEE Transactions on Cybernetics, Under Review, 2023. (SCI Q1, IF: 11.8, Regular Paper)

  12. Cong Wang, Junxi Lin, and Xuelong Li*, ‘‘Structural-equation-modeling-based indicator systems for image quality assessment,’’ IEEE Transactions on Pattern Analysis and Machine Intelligence, Under Review, 2023. (SCI Q1, IF: 23.6, Regular Paper)

Accepted and To Be Published

  1. Cong Wang, Guodong Sun, Cailing Wang, Zixuan Gao, and Hongwei Wang*, ‘‘Monte Carlo-based restoration of images degraded by atmospheric turbulence,’’ IEEE Transactions on Systems, Man and Cybernetics: Systems, Accepted, 2024. (SCI Q1, IF: 8.7)

  2. Heng Wang, Cong Wang, and Yuan Yuan*, ‘‘Neighbor spectra maintenance and context affinity enhancement for single hyperspectral image super-resolution,’’ IEEE Transactions on Geoscience and Remote Sensing, To Be Published, doi: 10.1109/TGRS.2024.3389098. (SCI Q1, IF: 8.2, Regular Paper)

  3. Qing Guo, Hong Song*, Cong Wang*, Jingfan Fan*, Danni Ai, Yuanjin Gao, Xiaoling Yu*, and Jian Yang, ‘‘Segmentation of 3D anatomically diffused tissues in MR images through edge-preserving constrained center-free fuzzy C-means,’’ IEEE Transactions on Fuzzy Systems, To Be Published, doi: 10.1109/TFUZZ.2024.3373509. (SCI Q1, IF: 11.9, Full Paper)

  4. Cong Wang, Xin Tan, Bo Li*, and Mengchu Zhou*, ‘‘Noise-estimation-dominated fuzzy segmentation strategy for accurate implantation of implantable cardioverter defibrillators,’’ IEEE Transactions on Fuzzy Systems, To Be Published, doi: 10.1109/TFUZZ.2024.3364970. (SCI Q1, IF: 11.9)

Published Journal Papers

  1. Cong Wang, Mengchu Zhou*, Witold Pedrycz, and Zhiwu Li*, ‘‘Comparative study on noise-estimation-based Fuzzy C-Means clustering for image segmentation,’’ IEEE Transactions on Cybernetics, vol. 54, no. 1, pp. 241–253, Jan. 2024. (SCI Q1, IF: 11.8, Regular Paper)

  2. Heng Wang, Cong Wang, and Yuan Yuan*, ‘‘Asymmetric dual-direction quasi-recursive network for single hyperspectral image super-resolution,’’ IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 11, pp. 6331–6346, Nov. 2023. (SCI Q1, IF: 8.4, Regular Paper)

  3. Cong Wang, Witold Pedrycz, Zhiwu Li*, and Mengchu Zhou*, ‘‘Kullback-Leibler divergence-based Fuzzy C-Means clustering incorporating morphological reconstruction and wavelet frames for image segmentation,’’ IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 7612–7623, Aug. 2022. (SCI Q1, IF: 19.118, Regular Paper)

  4. Tailong Jing, Cong Wang, Witold Pedrycz, Zhiwu Li*, Giancarlo Succi, and Mengchu Zhou, ‘‘Granular models as networks of associations of information granules: A development through augmented principle of justifiable granularity,’’ Applied Soft Computing, vol. 115, p. 108062, Jan. 2022. (SCI Q1, IF: 6.725, Full Paper)

  5. Cong Wang, Witold Pedrycz, Zhiwu Li*, Mengchu Zhou*, and Jun Zhao, ‘‘Residual-sparse Fuzzy C-Means clustering incorporating morphological reconstruction and wavelet frame,’’ IEEE Transactions on Fuzzy Systems, vol. 29, no. 12, pp. 3910–3924, Dec. 2021. (SCI Q1, IF: 12.029, Full Paper) [pdf]

  6. Cong Wang, Witold Pedrycz, Zhiwu Li*, Mengchu Zhou*, and Shuzhi Sam Ge, ‘‘G-image segmentation: Similarity-preserving Fuzzy C-Means with spatial information constraint in wavelet space,’’ IEEE Transactions on Fuzzy Systems, vol. 29, no. 12, pp. 3887–3898, Dec. 2021. (SCI Q1, IF: 12.029, Full Paper) [pdf]

  7. Cong Wang, Witold Pedrycz, Mengchu Zhou*, and Zhiwu Li*, ‘‘Sparse regularization-based Fuzzy C-Means clustering incorporating morphological grayscale reconstruction and wavelet frames,’’ IEEE Transactions on Fuzzy Systems, vol. 29, no. 7, pp. 1826-1840, Jul. 2021. (SCI Q1, IF: 12.029, Full Paper) [pdf]

  8. Cong Wang, Witold Pedrycz, Zhiwu Li*, and Mengchu Zhou*, ‘‘Residual-driven Fuzzy C-Means clustering for image segmentation,’’ IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 4, pp. 876–889, Apr. 2021. (SCI Q1, IF: 6.171, Regular Paper) [pdf]

  9. Cong Wang, Ziyue Yan, Witold Pedrycz, Mengchu Zhou*, and Zhiwu Li*, ‘‘A weighted fidelity and regularization-based method for mixed or unknown noise removal from images on graphs,’’ IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 5229–5243, Dec. 2020. (SCI Q1, WOS: 000522185800001, IF: 9.34, Regular Paper) [pdf]

  10. Cong Wang, Witold Pedrycz, Jianbin Yang, Mengchu Zhou*, and Zhiwu Li*, ‘‘Wavelet frame-based Fuzzy C-Means clustering for segmenting images on graphs,’’ IEEE Transactions on Cybernetics, vol. 50, no. 9, pp. 3938–3949, Sept. 2020. (SCI Q1, IF: 11.448, Regular Paper) [pdf]

  11. Cong Wang* , Jijxing Chen, Zhiwu Li, Emad S. Abouel Nasr, and Abdulaziz Mohammed El-Tamimi, ‘‘An indicator system for evaluating the development of land-sea coordination systems: A case study of Lianyungang port,’’ Ecological Indicators, vol. 98, pp. 112–120, 2019. (SCI Q1, WOS: 000464891100013, IF: 4.229, Regular Paper) [pdf]

  12. Cong Wang and Jianbin Yang*, ‘‘Poisson noise removal of images on graphs using tight wavelet frames,’’ The Visual Computer, vol. 34, no. 10, pp. 1357–1369, 2018. (SCI Q3, IF: 1.415, Regular Paper) [pdf]

  13. Jianbin Yang* and Cong Wang, ‘‘A wavelet frame approach for removal of mixed Gaussian and impulse noise on surfaces,’’ Inverse Problems and Imaging, vol. 11, no. 5, pp. 783–798, 2017. (SCI Q1, IF: 1.465, Regular Paper) [pdf]

  14. Dongmei Ma and Cong Wang*, ‘‘Removal of mixed Gaussian and impulse noise using data-driven tight frames,’’ Journal of Engineering Science and Technology Review, vol. 11, no. 2, pp. 26–31, 2018. (EI No. 20182405313426) [pdf]

  15. Cong Wang, Jianbin Yang*, and Ying Deng. Application of mathematical modeling methods in wind-power prediction. Acta Energiae Solaris Sinica, 2015, 36(5): 1081–1087. (EI No. 20153001062255)
    王聪, 杨建斌*, 邓颖. 数学建模方法在风电功率预测中的应用[J]. 太阳能学报, 2015, 36(5): 1081–1087.

  16. Cong Wang* . Data-driven tight frame based image restoration with Poisson noise. Information Technology, 2017, 9: 71–75. (in Chinese)
    王聪*. 基于数据驱动紧框架的含泊松噪声的图像恢复[J]. 信息技术, 2017, 41(9): 71–75.

  17. Xiaohui Li and Cong Wang* . Wavelet frame based nonlocal surface fairing. Electronic Design Engineering, 2017, 20(5): 178–181. (in Chinese)
    李晓慧, 王聪*. 基于小波框架的非局部曲面去噪[J]. 电子设计工程, 2017, 25(10): 178–181, 185.

  18. Ying Deng and Cong Wang* . Applications on maximum power point tracking for photovoltaic off-grid system based on particle swarm optimization algorithm under partial shaded conditions. Journal of Nanjing University of Information Science and Technology, 2017, 9(1): 106–112. (in Chinese)
    邓颖, 王聪*. 局部遮阴下粒子群算法在光伏离网系统最大功率点跟踪中的应用[J]. 南京信息工程大学学报: 自然科学版, 2017, 9(1): 106–112.

  19. Yu Feng and Cong Wang* . Research on combination forecasting model in outstanding of deposits forecast. Economic Research Guide, 2018, 14: 146–150. (in Chinese)
    冯宇, 王聪*. 金融机构存款预测的组合预测模型研究[J]. 经济研究导刊, 2018, 14: 146–150.

  20. Lijing Fan and Cong Wang* . Application of data-driven tight frame in gray image denoising. Electronic Design Engineering, 2017, 25(15): 180–183. (in Chinese)
    范立静, 王聪*. 数据驱动紧框架在灰色图像去噪中的应用[J]. 电子设计工程, 2017 (15): 180–183.

  21. Lin Du and Cong Wang* . Data-driven tight frame based image restoration. Electronic Design Engineering, 2017, 25(22): 178–181. (in Chinese)
    杜淋, 王聪*. 基于数据驱动紧框架的图像恢复[J]. 电子设计工程, 2017, 22: 184–187.

International Conference Proceedings Papers

  1. Xin Tan and Cong Wang*, ‘‘Re-enhancing fuzzy clustering for medical image segmentation,’’ In: Proceedings of 2023 IEEE International Conference on Information, Communication and Networks (ICICN), Xi'an, China, 2023, pp. 1–5. (Best Student Paper)

  2. Xin Tan and Cong Wang*, ‘‘Accurate implantation estimation of implantable cardioverter defibrillators via three-stage segmentation strategy,’’ In: Proceedings of IEEE International Conference on Networking, Sensing and Control (ICNSC), Shanghai, China, 2022. (EI: 22512662)

  3. Jianbin Yang*, Enlin Zhang, and Cong Wang, ‘‘Color image segmentation via wavelet frames,’’ In: Proceedings of the 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 2019, pp. 975–979, doi: 10.1109/SIPROCESS.2019.8868564. (INSPEC Accession Number: 19077941)

  4. Jianbin Yang* and Cong Wang, ‘‘A developed Fuzzy C-Means algorithm for mesh segmentation,’’ In: Proceedings of the 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Beijing, China, 2018, pp. 1–5, doi: 10.1109/CISP-BMEI.2018.8633099. (INSPEC Accession Number: 18432114)

  5. Jianyong Zhang* and Cong Wang, ‘‘Application of ARMA model in ultra-short term prediction of wind power,’’ In: Proceedings of 2013 International Conference on Computer Sciences and Applications, Wuhan, 2013, pp. 361–364, doi: 10.1109/CSA.2013.91. (INSPEC Accession Number: 14395697)

Patents

  1. Yuan Yuan, Mingxin Jin, and Cong Wang, ‘‘A ground object classification method based on statistical and semantic features for vicinagearth security,’’ Chinese Invention Patent, Application No. 202311619735.8, Nov. 30, 2023.

  2. Cong Wang and Mingxin Jin, ‘‘A remote sensing object classification method based on dual heterogeneous network for vicinagearth security,’’ Chinese Invention Patent, Application No. 202311623729.X, Nov. 30, 2023.

  3. Xuelong Li, Cong Wang, and Mingyuan Wang, ‘‘A feature-preserving-driven scene restoration method for UAV oblique photography,’’ Chinese Invention Patent, Publication No. CN116309196A, Jun. 23, 2023.

  4. Cong Wang and Xuelong Li, ‘‘A multi-strategy processing method for strain anomaly detection of aircraft structures,’’ Chinese Invention Patent, Publication No. CN116561497A, Aug. 8, 2023.

  5. Cong Wang and Xuelong Li, ‘‘A mixed-noise-driven UAV image segmentation method,’’ Chinese Invention Patent, Publication No. CN116309619A, Jun. 23, 2023.

  6. Cong Wang, Xuelong Li, and Xin Tan, ‘‘A segmentation strategy for cardiac MRI image based on mixed noise analysis and its applications,’’ Chinese Invention Patent, Publication No. CN116309637A, Jun. 23, 2023.

Monographs, textbooks and Book Chapters

  1. Cong Wang and Mengchu Zhou, Fuzzy Clustering for Image Segmentation: Principles, Techniques, and Implementations. Springer, 2024. (To Be Submitted)

  2. Cong Wang, Scientific Paper Writing. Posts & Telecom Press, 2024. (Submitted)

  3. Cong Wang, Mengchu Zhou, Witold Pedrycz, and Zhiwu Li, ‘‘Noise-estimation-based Fuzzy C-Means clustering for image segmentation,’’ Intelligent Image and Video Analytics (Edited by El-Sayed M. El-Alfy, George Bebis, and Mengchu Zhou), CRC Press, Taylor & Francis Group, Boca Raton, FL, U.S.A., pp. 251–302, 2023. Doi: 10.1201/9781003053262