Publications

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing.
Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar
The Thirteenth International Conference on Learning Representations (ICLR), 2025

MAP: Multi-Human-Value Alignment Palette.
Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar
The Thirteenth International Conference on Learning Representations (ICLR), 2025
[Oral Presentation]

AID: Adaptive Integration of Detectors for Safe AI with Language Models.
Xinran Wang, Enmao Diao, Qi Le, Jie Ding, Ali Anwar
The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL), 2025
[Main Conference]

IP-FL: Incentive-driven Personalization in Federated Learning.
Ahmad Khan, Xinran Wang, Qi Le, Zain ul Abdeen, Azal Ahmad Khan, Haider Ali, Ming Jin, Jie Ding, Ali R. Butt, Ali Anwar
The 39th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2025

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation.
Qi Le, Enmao Diao, Xinran Wang, Ahmad Faraz Khan, Vahid Tarokh, Jie Ding, and Ali Anwar
IEEE International Conference on Big Data (BigData), 2024
[Best Student Paper Award]

ICL: An Incentivized Collaborative Learning Framework.
Xinran Wang, Qi Le, Ahmad Khan, Jie Ding, and Ali Anwar
IEEE International Conference on Big Data (BigData), 2024

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders.
Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding
To appear in the Proceedings of the Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2022