Boyuan Feng

According to our database, Boyuan Feng authored at least 39 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering.

Hanjing Jiang, Yabing Huang, Qianpeng Li, Boyuan Feng

BMC Bioinform., December, 2023

TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.

Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

On Adversarial Robustness of Point Cloud Semantic Segmentation.

Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

System for Efficient Big Data Analytics.

Boyuan Feng

PhD thesis, 2022

STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms.

Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding

CoRR, 2022

GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing.

Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding

CoRR, 2022

Faith: An Efficient Framework for Transformer Verification on GPUs.

Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table.

Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding

Proceedings of the SC22: International Conference for High Performance Computing, 2022

QGTC: accelerating quantized graph neural networks via GPU tensor core.

Yuke Wang, Boyuan Feng, Yufei Ding

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

2021

ZEN: Efficient Zero-Knowledge Proofs for Neural Networks.

Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu

IACR Cryptol. ePrint Arch., 2021

Attacking Point Cloud Segmentation with Color-only Perturbation.

Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li

CoRR, 2021

TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs.

Yuke Wang, Boyuan Feng, Yufei Ding

CoRR, 2021

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms.

Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie

CoRR, 2021

QGTC: Accelerating Quantized GNN via GPU Tensor Core.

Yuke Wang, Boyuan Feng, Yufei Ding

CoRR, 2021

Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew.

Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores.

Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding

Proceedings of the International Conference for High Performance Computing, 2021

EGEMM-TC: accelerating scientific computing on tensor cores with extended precision.

Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.

Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.

Yuke Wang, Boyuan Feng, Yufei Ding

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface.

Boyuan Feng, Yuke Wang, Yufei Ding

Proceedings of the IEEE International Conference on Acoustics, 2021

An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks.

Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs.

Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.

Boyuan Feng, Yuke Wang, Yufei Ding

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.

Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding

CoRR, 2020

Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers.

Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding

CoRR, 2020

Optimizing Convolutional Neural Network Architecture via Information Field.

Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding

CoRR, 2020

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs.

Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding

CoRR, 2020

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds.

Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding

Bioinform., 2020

A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving.

Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding

Proceedings of the Network and Parallel Computing, 2020

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization.

Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms.

Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding

CoRR, 2019

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.

Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA.

Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018

Penetrating the Fog: the Path to Efficient CNN Models.

Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding

CoRR, 2018

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds.

Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding

CoRR, 2018

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.

Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding

CoRR, 2018

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy.

Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding

CoRR, 2018