Weijian Chen

According to our database, Weijian Chen authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration.

Weijian Chen, Shuibing He, Haoyang Qu, Xuechen Zhang

CoRR, 2024

Optimizing Large Model Training through Overlapped Activation Recomputation.

Ping Chen, Wenjie Zhang, Shuibing He, Yingjie Gu, Zhuwei Peng, Kexin Huang, Xuan Zhan, Weijian Chen, Yi Zheng, Zhefeng Wang, Yanlong Yin, Gang Chen

CoRR, 2024

IOWA: An I/O-Aware Adaptive Sampling Framework for Deep Learning.

Shuang Hu, Weijian Chen, Yanlong Yin, Shuibing He

Proceedings of the International Conference on Networking, Architecture and Storage, 2024

AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference.

Tong Wu, Shuibing He, Jianxin Zhu, Weijian Chen, Siling Yang, Ping Chen, Yanlong Yin, Xuechen Zhang, Xian-He Sun, Gang Chen

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators.

Siling Yang, Shuibing He, Hexiao Duan, Weijian Chen, Xuechen Zhang, Tong Wu, Yanlong Yin

IEEE Trans. Parallel Distributed Syst., September, 2023

HOME: A Holistic GPU Memory Management Framework for Deep Learning.

Shuibing He, Ping Chen, Shuaiben Chen, Zheng Li, Siling Yang, Weijian Chen, Lidan Shou

IEEE Trans. Computers, March, 2023

iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training.

Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2021

AUTO-PRUNE: automated DNN pruning and mapping for ReRAM-based accelerator.

Siling Yang, Weijian Chen, Xuechen Zhang, Shuibing He, Yanlong Yin, Xian-He Sun

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021