[OSDI-2021] Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding.
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs.
USENIX Symposium on Operating Systems Design and Implementation.
[USENIX ATC-2021] Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding.
Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew.
USENIX Annual Technical Conference.
[CCGrid-2021] Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding.
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs.
IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[ICASSP-2021] Boyuan Feng, Yuke Wang, Yufei Ding.
Sparse Adversarial Attack on EEG-based Brain Computer Interface.
IEEE International Conference on Acoustics, Speech, Signal Processing.
[PPoPP-2021] Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding.
EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision.
ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.
[IPDPS-2021] Yuke Wang, Boyuan Feng, Yufei Ding.
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.
IEEE International Parallel & Distributed Processing Symposium.
[Paper] [Bibtex] [Code]
[TCAD-2021] Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie.
Rubik: A Hierarchical Architecture for Efficient Graph Learning.
IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems.
[ICTAI-2020] *Boyuan Feng, *Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding. *: equal contribution.
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization.
International Conference on Tools with Artificial Intelligence.
[ICML-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.
International Conference on Machine Learning.
[FCCM-2019] Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, and Yufei Ding.
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA.
IEEE Symposium on Field-Programmable Custom Computing Machines.