Publications
Sun L, Cheema AA. 2026. An intelligent vocal singing quality assessment model based on adaptive convolution and temporal graph modeling. PeerJ Computer Science 12:e4090 https://doi.org/10.7717/peerj-cs.4090
Huang, W., & Cheema, A. A. (2026). A machine learning-based decision support system for production operations in manufacturing enterprises. Journal of Organizational and End User Computing, 38(1), 1–20. https://doi.org/10.4018/JOEUC.419522
Xiong, X., & Cheema, A. A. (2026). Sustainable supply chain risk prediction based on a meta-heuristic algorithm in cross-border e-commerce. PeerJ Computer Science, 12, e3913. https://doi.org/10.7717/peerj-cs.3913
Wu, Y., Liu, X., & Cheema, A. A. (2026). Analysis of user-generated content in visitor reviews of tourist attractions using semantic similarity. Journal of Organizational and End User Computing, 38(1), 1–25. https://doi.org/10.4018/JOEUC.418449
Azam, A., Sarfraz, M. S., Uz Zaman, Q., Cheema, A. A., Ali, A., & Talpur, B. A. (2026). From reviews to preference profiles: LLM-based transfer for cross-domain recommendation. Egyptian Informatics Journal, 34, 100981. https://doi.org/10.1016/j.eij.2026.100981
Shi, Z., & Cheema, A. A. (2026). Adaptive modeling combined with reinforcement learning to handle text multi-categorization tasks in news pushing. PeerJ Computer Science, 12, e3759. https://doi.org/10.7717/peerj-cs.3759
Li, J., Yu, Y., Shao, Y., & Cheema, A. A. (2026). Cross-modal deep collaborative networks for intelligent music composition and interactive performance. PeerJ Computer Science, 12, e3749. https://doi.org/10.7717/peerj-cs.3749
Cheema, A. A., Sarfraz, M. S., Habib, U., Uz Zaman, Q., & Boonchieng, E. (2025). CD-LLMCARS: Cross-domain fine-tuned large language model for context-aware recommender systems. IEEE Open Journal of the Computer Society, 6, 49–59. https://doi.org/10.1109/OJCS.2024.3509221
Azam, A., Sarfraz, M. S., Uz Zaman, Q., Cheema, A. A., & Ali, A. (2025). UTAM: A unified thematic mapping approach for cross-domain personalization and cold start alleviation. IEEE Access, 13, 148418–148435. https://doi.org/10.1109/ACCESS.2025.3601992
Cheema, A. A., Sarfraz, M. S., Usman, M., Uz Zaman, Q., Habib, U., & Boonchieng, E. (2024). KT-CDULF: Knowledge transfer in context-aware cross-domain recommender systems via latent user profiling. IEEE Access, 12, 102111–102125. https://doi.org/10.1109/ACCESS.2024.3430193
Ali Raza, S., Habib, U., Usman, M., Cheema, A. A., & Khan, M. S. (2024). MMGANGuard: A robust approach for detecting fake images generated by GANs using multi-model techniques. IEEE Access, 12, 104153–104164. https://doi.org/10.1109/ACCESS.2024.3393842
Conferene Papers
Adeel Ashraf Cheema, Analysing Machine Learning Techniques for Cyberbullying Detection: A Review Study, 2022 17th international conference on emerging technologies (ICET’22)DOI: 10.1109/ICET56601.2022.10004667
Chan Naseeb; Adeel Ashraf Cheema; Hassan Sami; Tayyab Afzal; Muhammad Omair; Usman Habib, Two Head-SwinFPN: A Unified DL Architecture for Synthetic Manipulation, Detection and Localization in Identity Documents, DOI: 10.48550/ARXIV.2601.12895
Tanzeel Zaidi; Samia Aziz; Muhammad Usman; Awais Azam; Adeel Ashraf Cheema; Sahar Ajmal, Edge Computing and Computational Task Offloading Analysis – A review study 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), DOI: 10.1109/etecte55893.2022.10007120
Apiletti, D., Baralis, E. M., Cerquitelli, T., & Cheema, A. A. (2009). Energy-aware models for sensor network data acquisition. In IEEE/ACM DCOSS’09 International Conference on Distributed Computing in Sensor Systems.
Collaborations at National and International Level
Detail of Funded Projects
