Enmao Diao

According to our database, Enmao Diao authored at least 35 papers between 2018 and 2025.

Collaborative distances:

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

2025

Robust Score-Based Quickest Change Detection.

Sean Moushegian, Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh

IEEE Trans. Inf. Theory, July, 2025

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

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MAP: Multi-Human-Value Alignment Palette.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Quickest Change Detection for Unnormalized Statistical Models.

Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh

IEEE Trans. Inf. Theory, February, 2024

A Data-Efficient Deep Learning Method for Rough Surface Clutter Reduction in GPR Images.

Yan Zhang, Enmao Diao, Dryver Huston, Tian Xia

IEEE Trans. Geosci. Remote. Sens., 2024

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation.

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

CoRR, 2024

ColA: Collaborative Adaptation with Gradient Learning.

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

CoRR, 2024

Large Deviation Analysis of Score-Based Hypothesis Testing.

Enmao Diao, Taposh Banerjee, Vahid Tarokh

IEEE Access, 2024

ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers.

Yuzhe Gu, Enmao Diao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation.

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Efficient and Collaborative Methods for Distributed Machine Learning.

Enmao Diao

PhD thesis, 2023

Robust Quickest Change Detection for Unnormalized Models.

Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Semi-Supervised Federated Learning for Keyword Spotting.

Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Pruning Deep Neural Networks from a Sparsity Perspective.

Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Score-based Quickest Change Detection for Unnormalized Models.

Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation.

Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang

CoRR, 2022

Score-Based Hypothesis Testing for Unnormalized Models.

Suya Wu, Enmao Diao, Khalil Elkhalil, Jie Ding, Vahid Tarokh

IEEE Access, 2022

SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training.

Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations.

Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow.

Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg

Proceedings of the Data Compression Conference, 2022

Multimodal Controller for Generative Models.

Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the Computer Vision and Machine Intelligence, 2022

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders.

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

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

On Statistical Efficiency in Learning.

Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh

IEEE Trans. Inf. Theory, 2021

Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models.

Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg

CoRR, 2021

Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders.

Enmao Diao, Vahid Tarokh, Jie Ding

CoRR, 2021

SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients.

Enmao Diao, Jie Ding, Vahid Tarokh

CoRR, 2021

Gradient Assisted Learning.

Enmao Diao, Jie Ding, Vahid Tarokh

CoRR, 2021

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients.

Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Speech Emotion Recognition with Dual-Sequence LSTM Architecture.

Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Clustering of Compressed Variational Embeddings.

Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the Data Compression Conference, 2020

DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression.

Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the Data Compression Conference, 2020

2019

Distributed Lossy Image Compression with Recurrent Networks.

Enmao Diao, Jie Ding, Vahid Tarokh

CoRR, 2019

Restricted Recurrent Neural Networks.

Enmao Diao, Jie Ding, Vahid Tarokh

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Penalized Method for the Predictive Limit of Learning.

Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018