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Enmao Diao
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Books and Theses
- 2023
- [b1]Enmao Diao:
Efficient and Collaborative Methods for Distributed Machine Learning. Duke University, Durham, NC, USA, 2023
Journal Articles
- 2024
- [j4]Yan Zhang
, Enmao Diao, Dryver Huston
, Tian Xia
:
A Data-Efficient Deep Learning Method for Rough Surface Clutter Reduction in GPR Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - [j3]Suya Wu
, Enmao Diao, Taposh Banerjee
, Jie Ding
, Vahid Tarokh
:
Quickest Change Detection for Unnormalized Statistical Models. IEEE Trans. Inf. Theory 70(2): 1220-1232 (2024) - 2022
- [j2]Suya Wu
, Enmao Diao, Khalil Elkhalil, Jie Ding
, Vahid Tarokh
:
Score-Based Hypothesis Testing for Unnormalized Models. IEEE Access 10: 71936-71950 (2022) - 2021
- [j1]Jie Ding
, Enmao Diao, Jiawei Zhou
, Vahid Tarokh
:
On Statistical Efficiency in Learning. IEEE Trans. Inf. Theory 67(4): 2488-2506 (2021)
Conference and Workshop Papers
- 2023
- [c15]Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh:
Score-based Quickest Change Detection for Unnormalized Models. AISTATS 2023: 10546-10565 - [c14]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. ICLR 2023 - [c13]Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang:
Semi-Supervised Federated Learning for Keyword Spotting. ICME Workshops 2023: 466-469 - [c12]Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh:
Robust Quickest Change Detection for Unnormalized Models. UAI 2023: 2314-2323 - 2022
- [c11]Qi Le, Enmao Diao, Xinran Wang, Ali Anwar
, Vahid Tarokh, Jie Ding:
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. IEEECONF 2022: 1157-1163 - [c10]Enmao Diao, Jie Ding, Vahid Tarokh:
Multimodal Controller for Generative Models. CVMI 2022: 109-121 - [c9]Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg:
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. DCC 2022: 1-10 - [c8]Enmao Diao, Jie Ding, Vahid Tarokh:
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations. NeurIPS 2022 - [c7]Enmao Diao, Jie Ding, Vahid Tarokh:
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training. NeurIPS 2022 - 2021
- [c6]Enmao Diao, Jie Ding, Vahid Tarokh:
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. ICLR 2021 - 2020
- [c5]Enmao Diao
, Jie Ding, Vahid Tarokh:
DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression. DCC 2020: 3-12 - [c4]Suya Wu, Enmao Diao
, Jie Ding, Vahid Tarokh:
Deep Clustering of Compressed Variational Embeddings. DCC 2020: 399 - [c3]Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao
, Jie Ding, Vahid Tarokh:
Speech Emotion Recognition with Dual-Sequence LSTM Architecture. ICASSP 2020: 6474-6478 - 2019
- [c2]Enmao Diao
, Jie Ding, Vahid Tarokh:
Restricted Recurrent Neural Networks. IEEE BigData 2019: 56-63 - 2018
- [c1]Jie Ding, Enmao Diao
, Jiawei Zhou, Vahid Tarokh:
A Penalized Method for the Predictive Limit of Learning. ICASSP 2018: 4414-4418
Informal and Other Publications
- 2024
- [i19]Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh:
ColA: Collaborative Adaptation with Gradient Learning. CoRR abs/2404.13844 (2024) - [i18]Yuzhe Gu, Enmao Diao:
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers. CoRR abs/2404.19441 (2024) - 2023
- [i17]Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh:
Quickest Change Detection for Unnormalized Statistical Models. CoRR abs/2302.00250 (2023) - [i16]Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh:
Pruning Deep Neural Networks from a Sparsity Perspective. CoRR abs/2302.05601 (2023) - [i15]Enmao Diao, Eric W. Tramel, Jie Ding, Tao Zhang:
Semi-Supervised Federated Learning for Keyword Spotting. CoRR abs/2305.05110 (2023) - 2022
- [i14]Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg:
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. CoRR abs/2201.03617 (2022) - [i13]Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang:
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. CoRR abs/2206.05604 (2022) - [i12]Qi Le, Enmao Diao, Xinran Wang, Ali Anwar
, Vahid Tarokh, Jie Ding:
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. CoRR abs/2212.08779 (2022) - 2021
- [i11]Enmao Diao, Jie Ding, Vahid Tarokh:
Gradient Assisted Learning. CoRR abs/2106.01425 (2021) - [i10]Enmao Diao, Jie Ding, Vahid Tarokh:
SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients. CoRR abs/2106.01432 (2021) - [i9]Enmao Diao, Vahid Tarokh, Jie Ding:
Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders. CoRR abs/2110.13340 (2021) - [i8]Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg:
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models. CoRR abs/2112.03469 (2021) - 2020
- [i7]Enmao Diao, Jie Ding, Vahid Tarokh:
Multimodal Controller for Generative Models. CoRR abs/2002.02572 (2020) - [i6]Enmao Diao, Jie Ding, Vahid Tarokh:
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. CoRR abs/2010.01264 (2020) - [i5]Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh:
On Statistical Efficiency in Learning. CoRR abs/2012.13307 (2020) - 2019
- [i4]Enmao Diao, Jie Ding, Vahid Tarokh:
Distributed Lossy Image Compression with Recurrent Networks. CoRR abs/1903.09887 (2019) - [i3]Enmao Diao, Jie Ding, Vahid Tarokh:
Restricted Recurrent Neural Networks. CoRR abs/1908.07724 (2019) - [i2]Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh:
Speech Emotion Recognition with Dual-Sequence LSTM Architecture. CoRR abs/1910.08874 (2019) - [i1]Suya Wu, Enmao Diao
, Jie Ding, Vahid Tarokh:
Deep Clustering of Compressed Variational Embeddings. CoRR abs/1910.10341 (2019)
Coauthor Index
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