Diao, Enmao

10 publications

NeurIPS 2025 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

ICLR 2025 MAP: Multi-Human-Value Alignment Palette Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar

ICLR 2025 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 2023 Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh

UAI 2023 Robust Quickest Change Detection for Unnormalized Models Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh

AISTATS 2023 Score-Based Quickest Change Detection for Unnormalized Models Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh

NeurIPS 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations Enmao Diao, Jie Ding, Vahid Tarokh

NeurIPSW 2022 PerFedSI: A Framework for Personalized Federated Learning with Side Information Liam Collins, Enmao Diao, Tanya Roosta, Jie Ding, Tao Zhang

NeurIPS 2022 SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao, Jie Ding, Vahid Tarokh

ICLR 2021 HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao, Jie Ding, Vahid Tarokh