Zhaodong Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Mahalanobis Metric

Metric Learning

Margin Maximization

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie
EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. ASPLOS (3) (2024)
Zhaodong Chen, Hongbing Ji, Yongquan Zhang, Zhigang Zhu, Yifan Li
High-Resolution Feature Pyramid Network for Small Object Detection on Drone View. IEEE Trans. Circuits Syst. Video Technol. 34 (1) (2024)
Yongji Yan, Hongyuan Wang, Boyi Song, Zhaodong Chen, Rongwei Fan, Deying Chen, Zhiwei Dong
Airborne Streak Tube Imaging LiDAR Processing System: A Single Echo Fast Target Extraction Implementation. Remote. Sens. 15 (4) (2023)
Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP (2023)
Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang
Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. MSN (2022)
Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS (2022)
Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71 (12) (2022)
Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR (2022)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE (2022)
Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR (2022)
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX Annual Technical Conference (2022)
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR (2021)
Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC (2021)
Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
Transformer Acceleration with Dynamic Sparse Attention. CoRR (2021)
Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
Characterizing and Understanding GCNs on GPU. IEEE Comput. Archit. Lett. 19 (1) (2020)
Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML (2020)
Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD (2020)
Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
Characterizing and Understanding GCNs on GPU. CoRR (2020)
Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. CoRR (2020)
Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou
Hardness-Aware Deep Metric Learning. CVPR (2019)
Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou
Hardness-Aware Deep Metric Learning. CoRR (2019)
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie
Batch Normalization Sampling. CoRR (2018)