• [PPoPP-2022] *Yuke Wang, *Boyuan Feng, Yufei Ding. *: equal contribution
    QGTC: Accelerating Quantized GNN via GPU Tensor Core
    ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
    [Paper] [Bibtex] [Code]

  • [CIKM-2021 (Spotlight)] Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding.
    An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks
    ACM International Conference on Information and Knowledge Management.
    [Paper] [Bibtex] [Slides] [Video]

  • [SC-2021] *Boyuan Feng, *Yuke Wang, Tong Geng, Ang Li, Yufei Ding. *: equal contribution
    APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
    The International Conference for High Performance Computing, Networking, Storage, and Analysis.
    [Paper] [Bibtex] [Code]

  • [OSDI-2021] Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding.
    GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
    USENIX Symposium on Operating Systems Design and Implementation.
    [Paper] [Bibtex] [Code] [Slides] [Video]

  • [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.
    [Paper] [Bibtex]

  • [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.
    [Paper] [Bibtex] [Slides]

  • [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.
    [Paper] [Bibtex]

  • [AAAI-2021] Boyuan Feng, Yuke Wang, Yufei Ding.
    UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.
    AAAI Conference on Artificial Intelligence.
    [Paper] [Bibtex]

  • [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.
    [Paper] [Bibtex]

  • [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] [Slides] [Video]

  • [TCAD-2021] Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding.
    STPAcc: A Compiler-based Framework for Accelerating Distance Algorithms on CPU-FPGA Platforms.
    IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems.
    [Paper] [Bibtex]

  • [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.
    [Paper] [Bibtex]

  • [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.
    [Paper] [Bibtex]

  • [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.
    [Paper] [Bibtex]

  • [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.
    [Poster] [Bibtex]