Publications

OBMerge: Optimal Brain Merge via Iterative Parameter Replacement

Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Li Yang, Jie Ding, Ali Anwar

Manuscript under review, 2026.

ProjCache: Output-Projected KV Cache Eviction with OBS-Inspired Compensation

Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Li Yang, Jie Ding, Ali Anwar

Manuscript under review, 2026.

Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models

Ziyan Wang, Enmao Diao, Qi Le, Pu Wang, Guanchu Wang, Minwoo Lee, Shu-ping Yeh, Li Yang

DAC 2026

Paper

From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models

Ziyan Wang, Enmao Diao, Qi Le, Pu Wang, Minwoo Lee, Shu-ping Yeh, Evgeny Stupachenko, Hao Feng, Li Yang

ACL 2026 Outstanding Paper

Paper

AHE: Adaptive Homomorphic Encryption for Customizable Privacy in Heterogeneous Federated Learning

Jiaxiang Tang, Xinran Wang, Qi Le, Kangjie Lu, Zhi-Li Zhang, Ali Anwar

IEEE INFOCOM 2026

Paper

Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models

Xinran Wang, Jin Du, Azal Ahmad Khan, Qi Le, Enmao Diao, Jiawei Zhou, Jie Ding, Ali Anwar

NeurIPS 2025 Spotlight

Paper

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing

Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar

ICLR 2025

Paper · Code

MAP: Multi-Human-Value Alignment Palette

Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar

ICLR 2025 Oral Presentation

Paper

AID: Adaptive Integration of Detectors for Safe AI with Language Models

Xinran Wang, Enmao Diao, Qi Le, Jie Ding, Ali Anwar

NAACL 2025, Main Conference Long Paper

Paper

IP-FL: Incentive-Driven Personalization in Federated Learning

Ahmad Faraz Khan, Xinran Wang, Qi Le, Zain ul Abdeen, Azal Ahmad Khan, Haider Ali, Ming Jin, Jie Ding, Ali R. Butt, Ali Anwar

IEEE IPDPS 2025

Paper

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation

Qi Le, Enmao Diao, Xinran Wang, Ahmad Faraz Khan, Vahid Tarokh, Jie Ding, Ali Anwar

IEEE BigData 2024 Best Student Paper Award

Paper · Code

ICL: An Incentivized Collaborative Learning Framework

Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar

IEEE BigData 2024

Paper

ColA: Collaborative Adaptation with Gradient Learning

Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh

arXiv:2404.13844 · Preprint, 2024

Paper · Code

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders

Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding

Asilomar 2022

Paper