Boyuan Feng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Alternating Direction Method Of Multipliers

Video Processing

Related Algorithms

Top Venues

USENIX Annual Technical Conference

Publications

Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding
OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. USENIX ATC (2024)
Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding
ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. ASPLOS (1) (2024)
Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX Annual Technical Conference (2023)
Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li
On Adversarial Robustness of Point Cloud Semantic Segmentation. DSN (2023)
Hanjing Jiang, Yabing Huang, Qianpeng Li, Boyuan Feng
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering. BMC Bioinform. 24 (1) (2023)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI (2023)
Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding
EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. SC (2022)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR (2022)
Yuke Wang, Boyuan Feng, Yufei Ding
QGTC: accelerating quantized graph neural networks via GPU tensor core. PPoPP (2022)
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 (2022)
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 Annual Technical Conference (2022)
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR (2022)
Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. CIKM (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. OSDI (2021)
Yuke Wang, Boyuan Feng, Yufei Ding
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. IPDPS (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. CCGRID (2021)
Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding
EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP (2021)
Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu
ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. IACR Cryptol. ePrint Arch. 2021 (2021)
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC (2021)
Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li
Attacking Point Cloud Segmentation with Color-only Perturbation. CoRR (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 (2021)
Boyuan Feng, Yuke Wang, Yufei Ding
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. AAAI (2021)
Yuke Wang, Boyuan Feng, Yufei Ding
QGTC: Accelerating Quantized GNN via GPU Tensor Core. CoRR (2021)
Yuke Wang, Boyuan Feng, Yufei Ding
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. CoRR (2021)
Boyuan Feng, Yuke Wang, Yufei Ding
Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP (2021)
Yuke Wang, Boyuan Feng, Yufei Ding
TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. CoRR (2021)
Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. CoRR (2021)
Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR (2021)
Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. CoRR (2020)
Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. CoRR (2020)
Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding
A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving. NPC (2020)
Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. ICTAI (2020)
Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding
Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. Bioinform. 36 (9) (2020)
Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR (2020)
Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding
Optimizing Convolutional Neural Network Architecture via Information Field. CoRR (2020)
Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. CoRR (2020)
Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM (2019)
Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ICTAI (2019)
Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. CoRR (2019)
Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR (2019)
Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. CoRR (2018)
Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. CoRR (2018)
Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding
Penetrating the Fog: the Path to Efficient CNN Models. CoRR (2018)
Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. CoRR (2018)