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ORCIDZhaodong Chen
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2020 – today
- 2024
[b1]Zhaodong Chen:
Kernel-Centric Optimizations for Deep Neural Networks on GPGPU. University of California, Santa Barbara, USA, 2024- [j7]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): 475-489 (2024) - [c10]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: 301-316 - 2023
- [j6]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): 1128 (2023) - [c9]Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP 2023: 369-379 - 2022
- [j5]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): 13-31 (2022) - [j4]Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie:
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71(12): 3165-3178 (2022) - [j3]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): 4782-4796 (2022) - [c8]Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie:
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS 2022: 14-26 - [c7]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: 658-663 - [c6]Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang:
Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. MSN 2022: 835-840 - [c5]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 ATC 2022: 167-182 - [i8]Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR abs/2203.00091 (2022) - [i7]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 abs/2209.12708 (2022) - 2021
- [j2]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): 348-362 (2021) - [c4]Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC 2021: 78 - [i6]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 abs/2107.11746 (2021) - [i5]Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie:
Transformer Acceleration with Dynamic Sparse Attention. CoRR abs/2110.11299 (2021) - 2020
- [j1]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): 22-25 (2020) - [c3]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: 60:1-60:9 - [c2]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: 6205-6215 - [i4]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 abs/2001.00254 (2020) - [i3]Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Characterizing and Understanding GCNs on GPU. CoRR abs/2001.10160 (2020)
2010 – 2019
- 2019
- [c1]Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. CVPR 2019: 72-81 - [i2]Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. CoRR abs/1903.05503 (2019) - 2018
- [i1]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. CoRR abs/1810.10962 (2018)
Coauthor Index
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