Batch Normalization Sampling. - Zhaodong Chen 001; Lei Deng 003; Guoqi Li 002; Jiawei Sun; Xing Hu 001; Xin Ma; Yuan Xie 001 (CoRR, 2018)

Hardness-Aware Deep Metric Learning. - Wenzhao Zheng; Zhaodong Chen 001; Jiwen Lu; Jie Zhou 001 (CVPR, 2019)

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. - Zhaodong Chen 001; Mingyu Yan; Maohua Zhu; Lei Deng 003; Guoqi Li 002; Shuangchen Li; Yuan Xie 001 (ICCAD, 2020)

Boosting Deep Neural Network Efficiency with Dual-Module Inference. - Liu Liu 017; Lei Deng 003; Zhaodong Chen 001; Yuke Wang; Shuangchen Li; Jingwei Zhang; Yihua Yang; Zhenyu Gu; Yufei Ding 001; Yuan Xie 001 (ICML, 2020)

Characterizing and Understanding GCNs on GPU. - Mingyu Yan; Zhaodong Chen 001; Lei Deng 003; Xiaochun Ye; Zhimin Zhang 004; Dongrui Fan; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2020)

Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. - Zhaodong Chen 001; Zheng Qu 002; Liu Liu 017; Yufei Ding 001; Yuan Xie 001 (SC, 2021)

Transformer Acceleration with Dynamic Sparse Attention. - Liu Liu 017; Zheng Qu 002; Zhaodong Chen 001; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. - Zhaodong Chen 001; Lei Deng 003; Guoqi Li 002; Jiawei Sun; Xing Hu 001; Ling Liang; Yufei Ding 001; Yuan Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

DOTA: detect and omit weak attentions for scalable transformer acceleration. - Zheng Qu 002; Liu Liu 017; Fengbin Tu; Zhaodong Chen 001; Yufei Ding 001; Yuan Xie 001 (ASPLOS, 2022)

Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. - Ling Liang; Zhaodong Chen 001; Lei Deng 003; Fengbin Tu; Guoqi Li 002; Yuan Xie 001 (DATE, 2022)

Faith: An Efficient Framework for Transformer Verification on GPUs. - Boyuan Feng; Tianqi Tang 001; Yuke Wang; Zhaodong Chen 001; Zheng Wang 075; Shu Yang; Yuan Xie 001; Yufei Ding 001 (USENIX ATC, 2022)

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. - Zhaodong Chen 001; Lei Deng 003; Bangyan Wang; Guoqi Li 002; Yuan Xie 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Dynamic Sparse Attention for Scalable Transformer Acceleration. - Liu Liu 017; Zheng Qu 002; Zhaodong Chen 001; Fengbin Tu; Yufei Ding 001; Yuan Xie 001 (IEEE Trans. Computers, 2022)

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. - Ling Liang; Zheng Qu 002; Zhaodong Chen 001; Fengbin Tu; Yujie Wu 002; Lei Deng 003; Guoqi Li 002; Peng Li 001; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. - Zhaodong Chen 001; Zheng Qu 002; Yuying Quan; Liu Liu 017; Yufei Ding 001; Yuan Xie 001 (PPoPP, 2023)

EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. - Zhaodong Chen 001; Andrew Kerr; Richard Cai; Jack Kosaian; Haicheng Wu; Yufei Ding 001; Yuan Xie 001 (ASPLOS (3), 2024)

Kernel-Centric Optimizations for Deep Neural Networks on GPGPU - Zhaodong Chen 001 (2024)