Waqar Ali

According to our database, Waqar Ali authored at least 19 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain.

Waqar Ali, Xiangmin Zhou, Jie Shao

ACM Comput. Surv., May, 2025

HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders.

Waqar Ali, Khalid Umer, Xiangmin Zhou, Jie Shao

IEEE Trans. Knowl. Data Eng., March, 2025

2024

Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning.

Waqar Ali, Rajesh Kumar, Xiangmin Zhou, Jie Shao

ACM Trans. Intell. Syst. Technol., August, 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

Inf. Sci., 2024

Bilateral Improvement in Local Personalization and Global Generalization in Federated Learning.

Yansong Wang, Hui Xu, Waqar Ali, Xiangmin Zhou, Jie Shao

IEEE Internet Things J., 2024

2023

Empowering neural collaborative filtering with contextual features for multimedia recommendation.

Israr Ur Rehman, Muhammad Shehzad Hanif, Zulfiqar Ali, Zahoor Jan, Cobbinah Bernard Mawuli, Waqar Ali

Multim. Syst., August, 2023

FedFTHA: A Fine-Tuning and Head Aggregation Method in Federated Learning.

Yansong Wang, Hui Xu, Waqar Ali, Miaobo Li, Xiangmin Zhou, Jie Shao

IEEE Internet Things J., July, 2023

Dynamic context management in context-aware recommender systems.

Waqar Ali, Jay Kumar, Cobbinah Bernard Mawuli, Lei She, Jie Shao

Comput. Electr. Eng., April, 2023

CAML: Contextual augmented meta-learning for cold-start recommendation.

Israr Ur Rehman, Waqar Ali, Zahoor Jan, Zulfiqar Ali, Hui Xu, Jie Shao

Neurocomputing, 2023

2022

Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems.

Waqar Ali, Jay Kumar, Jie Shao

Appl. Intell., 2022

Empirical performance analysis of classification methods on cultural heritage database.

Israr Ur Rehman, Zulfiqar Ali, Zahoor Jan, Muhammad Rashid, Waqar Ali

Proceedings of the 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding, 2022

2021

Classical and modern face recognition approaches: a complete review.

Waqar Ali, Wenhong Tian, Salah Ud Din, Desire Iradukunda, Abdullah Aman Khan

Multim. Tools Appl., 2021

IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology.

Rajesh Kumar, Wenyong Wang, Jay Kumar, Zakria, Ting Yang, Waqar Ali, Abubackar Sharif

CoRR, 2021

A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems.

Waqar Ali, Rajesh Kumar, Zhiyi Deng, Yansong Wang, Jie Shao

Comput. J., 2021

Knowledge-Aware Group Representation Learning for Group Recommendation.

Zhiyi Deng, Changyu Li, Shujin Liu, Waqar Ali, Jie Shao

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Content-Aware Summarization of Broadcast Sports Videos: An Audio-Visual Feature Extraction Approach.

Abdullah Aman Khan, Jie Shao, Waqar Ali, Saifullah Tumrani

Neural Process. Lett., 2020

Online reliable semi-supervised learning on evolving data streams.

Salah Ud Din, Junming Shao, Jay Kumar, Waqar Ali, Jiaming Liu, Yu Ye

Inf. Sci., 2020

2019

PEVR: Pose Estimation for Vehicle Re-Identification.

Saifullah Tumrani, Zhiyi Deng, Abdullah Aman Khan, Waqar Ali

Proceedings of the Web and Big Data, 2019

2016

Coin Recognition with Reduced Feature Set SIFT Algorithm Using Neural Network.

Ghulam Farooque, Allah Bux Sargano, Imran Shafi, Waqar Ali

Proceedings of the International Conference on Frontiers of Information Technology, 2016