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2020 – today
- 2024
[j2]Cameron R. Wolfe
, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. 8(5): 1363-1415 (2024)- [c6]John Chen, Chen Dun, Anastasios Kyrillidis:
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. ISIT 2024: 1836-1841 - 2023
- [c5]Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis:
LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS 2023: 6498-6526 - [c4]Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis:
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS 2023: 6630-6660 - [i10]Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis:
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts. CoRR abs/2306.08586 (2023) - [i9]John Chen, Chen Dun, Anastasios Kyrillidis:
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. CoRR abs/2309.03469 (2023) - [i8]Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Anastasios Kyrillidis, Robert Sim:
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. CoRR abs/2310.02842 (2023) - [i7]Chen Dun, Qiutai Pan, Shikai Jin, Ria Stevens, Mitchell D. Miller, George N. Phillips Jr., Anastasios Kyrillidis:
CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention. CoRR abs/2310.03899 (2023) - 2022
- [j1]Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine:
Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. 15(8): 1581-1590 (2022) - [c3]Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis:
ResIST: Layer-wise decomposition of ResNets for distributed training. UAI 2022: 610-620 - [i6]Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis:
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR abs/2210.16105 (2022) - [i5]Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis:
LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR abs/2210.16169 (2022) - 2021
- [i4]Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR abs/2102.10424 (2021) - [i3]Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis:
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR abs/2107.00961 (2021) - [i2]Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava:
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR abs/2110.12292 (2021) - 2020
- [c2]Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu:
Graph Convolutional Reinforcement Learning. ICLR 2020 - [c1]Melissa Schnure, Parastu Kasaie, David W. Dowdy, Brian Weir, Chen Dun, Chris Beyrer:
Assessing the Impact of Targeted Screening and Treatment of Diabetes and Hypertension Among Adults Living with HIV in Nairobi, Kenya. WSC 2020: 980-991
2010 – 2019
- 2018
- [i1]Jiechuan Jiang, Chen Dun, Zongqing Lu:
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR abs/1810.09202 (2018)
Coauthor Index
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