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ORCIDAzal Ahmad Khan
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2020 – today
- 2025
[i6]Ahmad Faraz Khan, Azal Ahmad Khan, Anas Mohamed, Haider Ali, Suchithra Moolinti, Sabaat Haroon, Usman Tahir, Mattia Fazzini, Ali Raza Butt, Ali Anwar:
LADs: Leveraging LLMs for AI-Driven DevOps. CoRR abs/2502.20825 (2025)- [i5]Azal Ahmad Khan, Michael Andrev, Muhammad Ali Murtaza, Sergio Aguilera, Rui Zhang, Jie Ding, Seth Hutchinson, Ali Anwar:
Safety Aware Task Planning via Large Language Models in Robotics. CoRR abs/2503.15707 (2025) - 2024
- [j2]Azal Ahmad Khan
, Salman Hussain, Rohitash Chandra:
A Quantum-Inspired Predator-Prey Algorithm for Real-Parameter Optimization. Algorithms 17(1): 33 (2024) - [j1]Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra:
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation. Expert Syst. Appl. 244: 122778 (2024) - [c3]Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar:
Personalized Federated Learning Techniques: Empirical Analysis. IEEE Big Data 2024: 1333-1339 - [c2]Azal Ahmad Khan, Sayan Alam, Xinran Wang, Ahmad Faraz Khan, Debanga Raj Neog, Ali Anwar:
Mitigating Sycophancy in Large Language Models via Direct Preference Optimization. IEEE Big Data 2024: 1664-1671 - [c1]Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar:
FLOAT: Federated Learning Optimizations with Automated Tuning. EuroSys 2024: 200-218 - [i4]Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar:
Personalized Federated Learning Techniques: Empirical Analysis. CoRR abs/2409.06805 (2024) - 2023
- [i3]Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra:
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation. CoRR abs/2304.02858 (2023) - [i2]Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Raza Butt, Ali Anwar:
PI-FL: Personalized and Incentivized Federated Learning. CoRR abs/2304.07514 (2023) - 2022
- [i1]Azal Ahmad Khan:
Balanced Split: A new train-test data splitting strategy for imbalanced datasets. CoRR abs/2212.11116 (2022)
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