Profile of  Stanley Ebhohimhen Abhadiomhen (Ph.D)

Stanley Ebhohimhen Abhadiomhen (Ph.D.) is a lecturer in the Department of Computer Science at the University of Nigeria, Nsukka. He received his bachelor’s degree in Electrical/Electronics Engineering from Ambrose Alli University (Nigeria), an MSc in Computing from Oxford Brookes University (UK) and a Ph.D. in Computer Science and Technology from Jiangsu University (China), where he was honored as an Outstanding Student and received the Excellent Doctoral Dissertation Award (https://cs.ujs.edu.cn/info/2498/36657.htm). Dr. Abhadiomhen has an extensive publication record in numerous refereed journals in Web of Science (WOS) SCI core collection. His work has been featured in IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, ACM Transactions on Intelligent Systems and Technology, Applied Intelligence, Knowledge-Based Systems, Neural Processing Letters, and the AAAI Conference on Artificial Intelligence 2023. He is an active reviewer for several prestigious journals, including the Journal of Big Data, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Circuits and Systems for Video Technology, Neural Networks, Pattern Recognition, Computers in Biology and Medicine, Knowledge-Based Systems, Neurocomputing, and Scientific Reports.

Research Interest: Machine learning, Computer vision, Pattern Recognition and Medical AI

SELECTED PUBLICATIONS

  1. Shen, X.-J., Abhadiomhen, S. E, Yang, Y., Liu, Z-F., & Tian, S (2023). Edge Structure Learning via Low Rank Residuals for Robust Image Classification. In Proceedings of the 37th  AAAI Conference on Artificial Intelligence 2023. https://doi.org/10.1609/aaai.v37i2.25318. 
  2. Li, D., Abhadiomhen, S. E., Zhou, D., Shen, X. J., Shi, L., & Cui, Y. (2024). Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers. Journal of Translational Medicine, 22(1), 100. https://doi.org/10.1186/s12967-024-04866-9. 
  3. Abhadiomhen, S. E, Shen, X, Song, H & Tian, S. (2023). Image Edge Preservation via Low-Rank Residuals for Robust Subspace Learning. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17423-1.
  4. Abhadiomhen, S. E, Ezeora, N.J, Ganaa, E.D, Nzeh, R.C, Adeyemo, I, Uzo, I.C, & Oguike, O. (2023). Spectral Type Subspace Clustering Methods: Multi-Perspective Analysis. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-16846-0.
  5. Abhadiomhen, S. E., Nzeh, R. C., Ganaa, E. D., Nwagwu, H. C., Okereke, G. E., & Routray, S. (2022). Supervised Shallow Multi-task Learning: Analysis of Methods. Neural Processing Letters, 54(3). https://doi.org/10.1007/s11063-021-10703-7 . 
  6. Abhadiomhen, S. E., Wang, Z. Y., & Shen, X. J. (2022). Coupled low rank representation and subspace clustering. Applied Intelligence, 52(1). https://doi.org/10.1007/s10489-021-02409-z . 
  7. Abhadiomhen, S. E., Wang, Z., Shen, X., & Fan, J. (2021). Multiview Common Subspace Clustering via Coupled Low Rank Representation. ACM Transactions on Intelligent Systems and Technology, 12(4). https://doi.org/10.1145/3465056 . 
  8. Liu, Z.F, Tang, C.J., Abhadiomhen, S. E., Shen, X. J., & Li, Y.Y. (2023). Robust Label and Feature Space Co-Learning for Multi-Label Classification. IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2022.3232114.
  9. Shen, X. J., Cai. Y., Abhadiomhen, S. E., Liu, Z.F., Zhan, Y.Z., & Fan, J. (2023). Deep Robust Low Rank Correlation with Unifying Clustering Structure for Cross Domain Adaptation. IEEE Transactions on Multimedia. https://doi.org/10.1109/TMM.2023.3235526.
  10. Hui, K.-F., Shen, X.-J., Abhadiomhen, S. E., & Zhan, Y.-Z. (2022). Robust low-rank representation via residual projection for image classification. Knowledge-Based Systems, 241. https://doi.org/10.1016/j.knosys.2022.108230 .

Email: stanley.abhadiomhen@unn.edu.ng

Full List of Publications at Google Scholar: https://scholar.google.com/citations?user=-Hyu__8AAAAJ&hl