Zhaodong Chen

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

Collaborative distances:

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

2024

Kernel-Centric Optimizations for Deep Neural Networks on GPGPU

Zhaodong Chen

PhD thesis, 2024

EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree.

Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism.

Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

2022

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.

Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Dynamic Sparse Attention for Scalable Transformer Acceleration.

Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie

IEEE Trans. Computers, 2022

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks.

Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Faith: An Efficient Framework for Transformer Verification on GPUs.

Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU.

Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

DOTA: detect and omit weak attentions for scalable transformer acceleration.

Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.

Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., 2021

Transformer Acceleration with Dynamic Sparse Attention.

Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie

CoRR, 2021

Efficient tensor core-based GPU kernels for structured sparsity under reduced precision.

Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie

Proceedings of the International Conference for High Performance Computing, 2021

2020

Characterizing and Understanding GCNs on GPU.

Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie

IEEE Comput. Archit. Lett., 2020

Boosting Deep Neural Network Efficiency with Dual-Module Inference.

Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie

Proceedings of the 37th International Conference on Machine Learning, 2020

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU.

Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Hardness-Aware Deep Metric Learning.

Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Batch Normalization Sampling.

Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie

CoRR, 2018