Следене
Chen Dun
Chen Dun
Потвърден имейл адрес: rice.edu
Заглавие
Позовавания
Позовавания
Година
Graph convolutional reinforcement learning
J Jiang, C Dun, T Huang, Z Lu
arXiv preprint arXiv:1810.09202, 2018
4172018
Current progress and open challenges for applying deep learning across the biosciences
N Sapoval, A Aghazadeh, MG Nute, DA Antunes, A Balaji, R Baraniuk, ...
Nature Communications 13 (1), 1728, 2022
1702022
Distributed learning of fully connected neural networks using independent subnet training
B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, C Jermaine
Proceedings of the VLDB Endowment 15 (8), 2022
282022
Distributed learning of deep neural networks using independent subnet training
B Yuan, CR Wolfe, C Dun, Y Tang, A Kyrillidis, CM Jermaine
arXiv preprint arXiv:1910.02120, 2019
192019
ResIST: Layer-wise decomposition of resnets for distributed training
C Dun, CR Wolfe, CM Jermaine, A Kyrillidis
Uncertainty in Artificial Intelligence, 610-620, 2022
182022
Efficient and light-weight federated learning via asynchronous distributed dropout
C Dun, M Hipolito, C Jermaine, D Dimitriadis, A Kyrillidis
International Conference on Artificial Intelligence and Statistics, 6630-6660, 2023
152023
GIST: Distributed training for large-scale graph convolutional networks
CR Wolfe, J Yang, F Liao, A Chowdhury, C Dun, A Bayer, S Segarra, ...
Journal of Applied and Computational Topology, 1-53, 2023
122023
Graph convolutional reinforcement learning. arXiv
J Jiang, C Dun, T Huang, Z Lu
arXiv preprint arXiv:1810.09202, 2018
82018
Graph convolutional reinforcement learning. arXiv 2018
J Jiang, C Dun, T Huang, Z Lu
arXiv preprint arXiv:1810.09202, 0
7
Graph convolutional reinforcement learning for multi-agent cooperation 2 (3)
J Jiang, C Dun, Z Lu
arXiv preprint arXiv:1810.09202, 2018
52018
LOFT: Finding lottery tickets through filter-wise training
Q Wang, C Dun, F Liao, C Jermaine, A Kyrillidis
International Conference on Artificial Intelligence and Statistics, 6498-6526, 2023
32023
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
C Dun, MH Garcia, G Zheng, A Awadallah, R Sim, A Kyrillidis, ...
R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023
22023
Sweeping heterogeneity with smart mops: Mixture of prompts for llm task adaptation
C Dun, MDCH Garcia, G Zheng, AH Awadallah, A Kyrillidis, R Sim
arXiv preprint arXiv:2310.02842, 2023
22023
Federated multiple label hashing (fedmlh): Communication efficient federated learning on extreme classification tasks
Z Dai, C Dun, Y Tang, A Kyrillidis, A Shrivastava
arXiv preprint arXiv:2110.12292, 2021
22021
CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention
C Dun, Q Pan, S Jin, R Stevens, MD Miller, GN Phillips Jr, A Kyrillidis
arXiv preprint arXiv:2310.03899, 2023
12023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
J Chen, C Dun, A Kyrillidis
arXiv preprint arXiv:2309.03469, 2023
12023
A General Method for Efficient Distributed Training and Federated Learning in Synchronous and Asynchronous Scenarios
C Dun
2023
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts
C Dun, MH Garcia, G Zheng, AH Awadallah, R Sim, A Kyrillidis, ...
arXiv preprint arXiv:2306.08586, 2023
2023
CrysFormer: Protein Crystallography Prediction via 3d Patterson Maps and Partial Structure Attention
C Dun, T Pan, S Jin, R Stevens, MD Miller, GN Phillips Jr, A Kyrillidis
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–19