Yulong Wang-College of Informatics

Name

Yulong Wang

Title

Professor

Institute

College of Informatics, Huazhong Agricultural University

Address

No.1 Shizishan Street, Hongshan District, Wuhan 430070, China

Email

ylwang@mail.hzau.edu.cn

Mobile phone

Fax

Research Interest

Pattern recognition, machine learning, computer vision, deep learning

Academic activities

§ Reviewer for Journals and Conferences:

· IEEE Transactions on Image Processing.

· IEEE Transactions on Neural Networks and Learning Systems.

· IEEE Transactions on Cybernetics.

§ Organization of Conferences:

· Section Chair: International Conference on Wavelet Analysis and Pattern Recognition.

Education and research experience

§ 08/2020-Present: Full Professor, College of Informatics, Huazhong Agricultural University, China.

§ 05/2019-05/2020: Research Fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

§ 01/2017, Ph.D., Software Engineering, University of Macau, Macao, China.

§ 06/2013, M.S., Applied Mathematics, Hubei University, Wuhan, China

§ 06/2010, B.S., Mathematics and Applied Mathematics, Hubei University, Wuhan, China

Grants

§ 01/2021 - 12/2024: National Natural Foundation of China under Grant No. 62076041, Atomic representation based robust high dimensional data learning theory and algorithm, PI

§ 01/2018 - 12/2020: National Natural Foundation of China under Grant No. 61702057, Information entropy joint sparse representation for robust multi-view learning, PI

Representative publications（*for corresponding authors, # for first authors）

[1] Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, and Jianjia Pan, “Atomic Representation-based Classification: Theory, Algorithm and Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 1, pp. 6-19, Jan. 2019. (JCR Q1, Impact Factor: 17.73)

[2] Yulong Wang, Kit Ian Kou, Cuiming Zou, and Yuan Yan Tang, “Robust Sparse Representation in Quaternion Space,” IEEE Transactions on Image Processing, vol. 30, pp. 3637-3649, 2021, doi: 10.1109/TIP.2021.3064193. (JCR Q1, Impact Factor: 9.34)

[3] Yulong Wang, Yap-Peng Tan, Yuan Yan Tang, Hong Chen, Cuiming Zou, and Luoqing Li, “Generalized and Discriminative Collaborative Representation for Multiclass Classification,”IEEE Transactions on Cybernetics, accepted, 2020, doi: 10.1109/TCYB.2020.3021712. (JCR Q1, Impact Factor: 10.387)

[4] Yulong Wang, Yuan Yan Tang, Luoqing Li, and Hong Chen, “Modal Regression based Atomic Representation for Robust Face Recognition and Reconstruction,” IEEE Transactions on Cybernetics, vol. 50, no. 10, pp. 4393-4405, Oct. 2020. (JCR Q1, Impact Factor: 10.387)

[5] Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Correntropy Matching Pursuit with Application to Robust Digit and Face Recognition,” IEEE Transactions on Cybernetics, vol. 47, no. 6, pp. 1354-1366, June 2017. (JCR Q1, Impact Factor: 10.387)

[6] Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Robust Face Recognition via Minimum Error Entropy based Atomic Representation,” IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5868-5878, Dec. 2015. (JCR Q1, Impact Factor: 9.34)

[7] Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,” IEEE Transactions on Signal Processing, vol. 63, no. 15, pp. 4010-4021, Aug. 2015. (JCR Q1, Impact Factor: 5.23)

[8] Yulong Wang, Yuan Yan Tang, Luoqing Li, and Xianwei Zheng, “Block sparse representation for pattern classification: Theory, extensions and applications,” Pattern Recognition, vol. 88, pp. 198–209, 2019. (JCR Q1, Impact Factor: 5.898)

[9] Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li and Zhaowei Shang, “Cauchy greedy algorithm for robust sparse recovery and multiclass classification,” Signal Processing, vol. 164, pp. 284-294, 2019. (JCR Q1, Impact Factor: 4.086)

[10] Yulong Wang, Yuan Yan Tang, Cuiming Zou, Luoqing Li and Hong Chen, “Modal Regression based Greedy Algorithm for Robust Sparse Signal Recovery, Clustering and Classification,” Neurocomputing, vol. 372, pp. 73-83, 2020. (JCR Q1, Impact Factor: 4.072)

Basic Information
Name	Yulong Wang		Title	Professor
Institute		College of Informatics, Huazhong Agricultural University
Address		No.1 Shizishan Street, Hongshan District, Wuhan 430070, China
Email		ylwang@mail.hzau.edu.cn
Mobile phone			Fax
Research Interest
Pattern recognition, machine learning, computer vision, deep learning
Academic activities
§ Reviewer for Journals and Conferences: · IEEE Transactions on Image Processing. · IEEE Transactions on Neural Networks and Learning Systems. · IEEE Transactions on Cybernetics. § Organization of Conferences: · Section Chair: International Conference on Wavelet Analysis and Pattern Recognition.
Education and research experience
§ 08/2020-Present: Full Professor, College of Informatics, Huazhong Agricultural University, China. § 05/2019-05/2020: Research Fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. § 01/2017, Ph.D., Software Engineering, University of Macau, Macao, China. § 06/2013, M.S., Applied Mathematics, Hubei University, Wuhan, China § 06/2010, B.S., Mathematics and Applied Mathematics, Hubei University, Wuhan, China
Grants
§ 01/2021 - 12/2024: National Natural Foundation of China under Grant No. 62076041, Atomic representation based robust high dimensional data learning theory and algorithm, PI § 01/2018 - 12/2020: National Natural Foundation of China under Grant No. 61702057, Information entropy joint sparse representation for robust multi-view learning, PI
Representative publications（*for corresponding authors, # for first authors）
[1] Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, and Jianjia Pan, “Atomic Representation-based Classification: Theory, Algorithm and Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 1, pp. 6-19, Jan. 2019. (JCR Q1, Impact Factor: 17.73) [2] Yulong Wang, Kit Ian Kou, Cuiming Zou, and Yuan Yan Tang, “Robust Sparse Representation in Quaternion Space,” **IEEE Transactions on Image Processing, vol. 30, pp. 3637-3649, 2021, doi: 10.1109/TIP.2021.3064193. (JCR Q1, Impact Factor: 9.34) [3] Yulong Wang, Yap-Peng Tan, Yuan Yan Tang, Hong Chen, Cuiming Zou, and Luoqing Li, “Generalized and Discriminative Collaborative Representation for Multiclass Classification,”IEEE Transactions on Cybernetics, accepted, 2020, doi: 10.1109/TCYB.2020.3021712. (JCR Q1, Impact Factor: 10.387) [4] Yulong Wang*, Yuan Yan Tang, Luoqing Li, and Hong Chen, “Modal Regression based Atomic Representation for Robust Face Recognition and Reconstruction,” IEEE Transactions on Cybernetics*, vol. 50, no. 10, pp. 4393-4405, Oct. 2020. (JCR Q1, Impact Factor: 10.387) [5] Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Correntropy Matching Pursuit with Application to Robust Digit and Face Recognition,” **IEEE Transactions on Cybernetics, vol. 47, no. 6, pp. 1354-1366, June 2017. (JCR Q1, Impact Factor: 10.387) [6] Yulong Wang, Yuan Yan Tang, and Luoqing Li, “Robust Face Recognition via Minimum Error Entropy based Atomic Representation,” IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5868-5878, Dec. 2015. (JCR Q1, Impact Factor: 9.34) [7] Yulong Wang*, Yuan Yan Tang, and Luoqing Li, “Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,” IEEE Transactions on Signal Processing*, vol. 63, no. 15, pp. 4010-4021, Aug. 2015. (JCR Q1, Impact Factor: 5.23) [8] Yulong Wang, Yuan Yan Tang, Luoqing Li, and Xianwei Zheng, “Block sparse representation for pattern classification: Theory, extensions and applications,” Pattern Recognition, vol. 88, pp. 198–209, 2019. (JCR Q1, Impact Factor: 5.898) [9] Yulong Wang, Cuiming Zou, Yuan Yan Tang, Luoqing Li and Zhaowei Shang, “Cauchy greedy algorithm for robust sparse recovery and multiclass classification,” Signal Processing, vol. 164, pp. 284-294, 2019. (JCR Q1, Impact Factor: 4.086) [10] Yulong Wang, Yuan Yan Tang, Cuiming Zou, Luoqing Li and Hong Chen, “Modal Regression based Greedy Algorithm for Robust Sparse Signal Recovery, Clustering and Classification,” **Neurocomputing, vol. 372, pp. 73-83, 2020. (JCR Q1, Impact Factor: 4.072)**