Coin Recognition with Reduced Feature Set SIFT Algorithm Using Neural Network. - Ghulam Farooque; Allah Bux Sargano; Imran Shafi; Waqar Ali 001 (FIT, 2016)

PEVR: Pose Estimation for Vehicle Re-Identification. - Saifullah Tumrani; Zhiyi Deng; Abdullah Aman Khan; Waqar Ali 001 (APWeb/WAIM Workshops, 2019)

Online reliable semi-supervised learning on evolving data streams. - Salah Ud Din; Junming Shao; Jay Kumar; Waqar Ali 001; Jiaming Liu 002; Yu Ye (Inf. Sci., 2020)

Content-Aware Summarization of Broadcast Sports Videos: An Audio-Visual Feature Extraction Approach. - Abdullah Aman Khan; Jie Shao 001; Waqar Ali 001; Saifullah Tumrani (Neural Process. Lett., 2020)

Knowledge-Aware Group Representation Learning for Group Recommendation. - Zhiyi Deng; Changyu Li; Shujin Liu; Waqar Ali 001; Jie Shao 001 (ICDE, 2021)

A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems. - Waqar Ali 001; Rajesh Kumar 014; Zhiyi Deng; Yansong Wang; Jie Shao 001 (Comput. J., 2021)

IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology. - Rajesh Kumar 014; Wenyong Wang; Jay Kumar; Zakria; Ting Yang; Waqar Ali 001; Abubackar Sharif (CoRR, 2021)

Classical and modern face recognition approaches: a complete review. - Waqar Ali 001; Wenhong Tian; Salah Ud Din; Desire Iradukunda; Abdullah Aman Khan (Multim. Tools Appl., 2021)

Empirical performance analysis of classification methods on cultural heritage database. - Israr Ur Rehman; Zulfiqar Ali 002; Zahoor Jan; Muhammad Rashid; Waqar Ali 001 (VIPERC, 2022)

Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems. - Waqar Ali 001; Jay Kumar; Jie Shao 001 (Appl. Intell., 2022)

CAML: Contextual augmented meta-learning for cold-start recommendation. - Israr Ur Rehman; Waqar Ali 001; Zahoor Jan; Zulfiqar Ali 002; Hui Xu; Jie Shao 001 (Neurocomputing, 2023)

Dynamic context management in context-aware recommender systems. - Waqar Ali 001; Jay Kumar; Cobbinah Bernard Mawuli; Lei She; Jie Shao 001 (Comput. Electr. Eng., 2023)

FedFTHA: A Fine-Tuning and Head Aggregation Method in Federated Learning. - Yansong Wang; Hui Xu; Waqar Ali 001; Miaobo Li; Xiangmin Zhou; Jie Shao 001 (IEEE Internet Things J., 2023)

Empowering neural collaborative filtering with contextual features for multimedia recommendation. - Israr Ur Rehman; Muhammad Shehzad Hanif; Zulfiqar Ali 002; Zahoor Jan; Cobbinah Bernard Mawuli; Waqar Ali 001 (Multim. Syst., 2023)

Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning. - Yansong Wang; Hui Xu; Waqar Ali 001; Xiangmin Zhou; Jie Shao 001 (IEEE Internet Things J., 2024)

Synchronization-based semi-supervised data streams classification with label evolution and extreme verification delay. - Salah Ud Din; Qinli Yang; Junming Shao; Cobbinah Bernard Mawuli; Aman Ullah; Waqar Ali 001 (Inf. Sci., 2024)

Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. - Waqar Ali 001; Rajesh Kumar 014; Xiangmin Zhou; Jie Shao 001 (ACM Trans. Intell. Syst. Technol., 2024)

HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders. - Waqar Ali 001; Khalid Umer; Xiangmin Zhou; Jie Shao 001 (IEEE Trans. Knowl. Data Eng., 2025)

Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain. - Waqar Ali 001; Xiangmin Zhou; Jie Shao 001 (ACM Comput. Surv., 2025)