Chen Dun

According to our database, Chen Dun authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

GIST: distributed training for large-scale graph convolutional networks.

Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

J. Appl. Comput. Topol., October, 2024

Flaming-hot Initiation with Regular Execution Sampling for Large Language Models.

Weizhe Chen, Zhicheng Zhang, Guanlin Liu, Renjie Zheng, Wenlei Shi, Chen Dun, Zheng Wu, Xing Jin, Lin Yan

CoRR, 2024

Process Supervision-Guided Policy Optimization for Code Generation.

Ning Dai, Zheng Wu, Renjie Zheng, Ziyun Wei, Wenlei Shi, Xing Jin, Guanlin Liu, Chen Dun, Liang Huang, Lin Yan

CoRR, 2024

Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization.

Guanlin Liu, Kaixuan Ji, Renjie Zheng, Zheng Wu, Chen Dun, Quanquan Gu, Lin Yan

CoRR, 2024

Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size.

John Chen, Chen Dun, Anastasios Kyrillidis

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention.

Chen Dun, Qiutai Pan, Shikai Jin, Ria Stevens, Mitchell D. Miller, George N. Phillips Jr., Anastasios Kyrillidis

CoRR, 2023

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation.

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Anastasios Kyrillidis, Robert Sim

CoRR, 2023

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts.

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

CoRR, 2023

LOFT: Finding Lottery Tickets through Filter-wise Training.

Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis

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

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout.

Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis

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

2022

Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training.

Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine

Proc. VLDB Endow., 2022

ResIST: Layer-wise decomposition of ResNets for distributed training.

Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks.

Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava

CoRR, 2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks.

Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

CoRR, 2021

2020

Assessing the Impact of Targeted Screening and Treatment of Diabetes and Hypertension Among Adults Living with HIV in Nairobi, Kenya.

Melissa Schnure, Parastu Kasaie, David W. Dowdy, Brian Weir, Chen Dun, Chris Beyrer

Proceedings of the Winter Simulation Conference, 2020

Graph Convolutional Reinforcement Learning.

Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation.

Jiechuan Jiang, Chen Dun, Zongqing Lu

CoRR, 2018