Παρακολούθηση
Enmao Diao
Enmao Diao
Ph.D.
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα colai.io - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
E Diao, J Ding, V Tarokh
International Conference on Learning Representations, 2021
6152021
Speech Emotion Recognition with Dual-Sequence LSTM Architecture
J Wang, M Xue, R Culhane, E Diao, J Ding, V Tarokh
2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020
1822020
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
E Diao, J Ding, V Tarokh
Advances in Neural Information Processing Systems 35, 17871-17884, 2022
123*2022
Pruning Deep Neural Networks from a Sparsity Perspective
E Diao, G Wang, J Zhang, Y Yang, J Ding, V Tarokh
International Conference on Learning Representations, 2023
352023
DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression
E Diao, J Ding, V Tarokh
2020 Data Compression Conference (DCC), 3-12, 2020
252020
Restricted Recurrent Neural Networks
E Diao, J Ding, V Tarokh
2019 IEEE International Conference on Big Data (Big Data), 56-63, 2019
252019
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
E Diao, J Ding, V Tarokh
Advances in Neural Information Processing Systems 35, 11854-11868, 2022
22*2022
Dimension Reduced Turbulent Flow Data from Deep Vector Quantizers
M Momenifar, E Diao, V Tarokh, AD Bragg
Journal of Turbulence 23 (4-5), 232-264, 2022
162022
Score-Based Hypothesis Testing for Unnormalized Models
S Wu, E Diao, K Elkhalil, J Ding, V Tarokh
IEEE Access 10, 71936-71950, 2022
102022
On Statistical Efficiency in Learning
J Ding, E Diao, J Zhou, V Tarokh
IEEE Transactions on Information Theory 67 (4), 2488-2506, 2020
102020
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow
M Momenifar, E Diao, V Tarokh, AD Bragg
2022 Data Compression Conference (DCC), 01-10, 2022
92022
Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
E Diao, V Tarokh, J Ding
arXiv preprint arXiv:2110.13340, 2021
8*2021
Personalized Federated Recommender Systems with Private and Partially Federated Autoencoders
Q Le, E Diao, X Wang, A Anwar, V Tarokh, J Ding
2022 56th Asilomar Conference on Signals, Systems, and Computers, 1157-1163, 2022
72022
Quickest Change Detection for Unnormalized Statistical Models
S Wu, E Diao, T Banerjee, J Ding, V Tarokh
IEEE Transactions on Information Theory 70, 1220-1232, 2023
52023
Multimodal Controller for Generative Models
E Diao, J Ding, V Tarokh
Computer Vision and Machine Intelligence, 109-121, 2023
52023
Score-based Quickest Change Detection for Unnormalized Models
S Wu, E Diao, T Banerjee, J Ding, V Tarokh
Proceedings of The 26th International Conference on Artificial Intelligence …, 2023
52023
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models
M Momenifar, E Diao, V Tarokh, AD Bragg
2022 Workshop on AI to Accelerate Science and Engineering (AAAI), 2022
52022
Robust Quickest Change Detection for Unnormalized Models
S Wu, E Diao, J Ding, T Banerjee, V Tarokh
Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023
42023
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
Y Gu, E Diao
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
32024
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
Q Le, E Diao, X Wang, V Tarokh, J Ding, A Anwar
2024 IEEE International Conference on Big Data (BigData), 998-1008, 2024
22024
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