Weijian Chen

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 5

Top Topics

Quantization Noise

Bayesian Inference

Memory Management

Top Venues

IEEE Trans. Computers

Publications

Ping Chen, Wenjie Zhang, Shuibing He, Yingjie Gu, Zhuwei Peng, Kexin Huang, Xuan Zhan, Weijian Chen, Yi Zheng, Zhefeng Wang, Yanlong Yin, Gang Chen
Optimizing Large Model Training through Overlapped Activation Recomputation. CoRR (2024)
Tong Wu, Shuibing He, Jianxin Zhu, Weijian Chen, Siling Yang, Ping Chen, Yanlong Yin, Xuechen Zhang, Xian-He Sun, Gang Chen
AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. ICPP (2024)
Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen
iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. HPCA (2023)
Siling Yang, Shuibing He, Hexiao Duan, Weijian Chen, Xuechen Zhang, Tong Wu, Yanlong Yin
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators. IEEE Trans. Parallel Distributed Syst. 34 (9) (2023)
Shuibing He, Ping Chen, Shuaiben Chen, Zheng Li, Siling Yang, Weijian Chen, Lidan Shou
HOME: A Holistic GPU Memory Management Framework for Deep Learning. IEEE Trans. Computers 72 (3) (2023)