Chen Dun

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Graph Mining Algorithms

Protein Structure Prediction

Reinforcement Learning

Top Venues

Proc. VLDB Endow.

Publications

Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS (2023)
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 (2023)
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 (2023)
John Chen, Chen Dun, Anastasios Kyrillidis
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. CoRR (2023)
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 (2023)
Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS (2023)
Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR (2022)
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) (2022)
Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR (2022)
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
ResIST: Layer-wise decomposition of ResNets for distributed training. UAI (2022)
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 (2021)
Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR (2021)
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR (2021)
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)
Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu
Graph Convolutional Reinforcement Learning. ICLR (2020)
Jiechuan Jiang, Chen Dun, Zongqing Lu
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR (2018)