default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBoyuan Feng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c21]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: 450-464- [c20]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: 667-682 - 2023
- [j3]Hanjing Jiang, Yabing Huang, Qianpeng Li, Boyuan Feng:
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering. BMC Bioinform. 24(1): 417 (2023) - [c19]Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
On Adversarial Robustness of Point Cloud Semantic Segmentation. DSN 2023: 531-544 - [c18]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: 779-795 - [c17]Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding:
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX ATC 2023: 149-164 - 2022
- [b1]Boyuan Feng:
System for Efficient Big Data Analytics. University of California, Santa Barbara, USA, 2022 - [j2]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): 1358-1370 (2022) - [c16]Yuke Wang, Boyuan Feng, Yufei Ding:
QGTC: accelerating quantized graph neural networks via GPU tensor core. PPoPP 2022: 107-119 - [c15]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: 70:1-70:14 - [c14]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 ATC 2022: 167-182 - [i21]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 abs/2206.08482 (2022) - [i20]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 abs/2209.06800 (2022) - [i19]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 abs/2209.12708 (2022) - 2021
- [c13]Boyuan Feng, Yuke Wang, Yufei Ding:
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. AAAI 2021: 7404-7412 - [c12]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: 133-142 - [c11]Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. CIKM 2021: 2050-2059 - [c10]Boyuan Feng, Yuke Wang, Yufei Ding:
Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP 2021: 975-979 - [c9]Yuke Wang, Boyuan Feng, Yufei Ding:
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. IPDPS 2021: 619-628 - [c8]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: 515-531 - [c7]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: 278-291 - [c6]Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding:
APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC 2021: 37 - [c5]Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding:
Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. USENIX ATC 2021: 427-441 - [i18]Yuke Wang, Boyuan Feng, Yufei Ding:
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. CoRR abs/2101.00745 (2021) - [i17]Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding:
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR abs/2106.12169 (2021) - [i16]Yuke Wang, Boyuan Feng, Yufei Ding:
QGTC: Accelerating Quantized GNN via GPU Tensor Core. CoRR abs/2111.09547 (2021) - [i15]Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie:
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. CoRR abs/2111.13730 (2021) - [i14]Yuke Wang, Boyuan Feng, Yufei Ding:
TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. CoRR abs/2112.02052 (2021) - [i13]Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
Attacking Point Cloud Segmentation with Color-only Perturbation. CoRR abs/2112.05871 (2021) - [i12]Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu:
ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. IACR Cryptol. ePrint Arch. 2021: 87 (2021) - 2020
- [j1]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): 2848-2855 (2020) - [c4]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: 1044-1052 - [c3]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: 92-104 - [i11]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 abs/2006.06608 (2020) - [i10]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 abs/2007.05100 (2020) - [i9]Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
Optimizing Convolutional Neural Network Architecture via Information Field. CoRR abs/2009.05236 (2020) - [i8]Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding:
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. CoRR abs/2009.10233 (2020) - [i7]Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding:
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. CoRR abs/2009.10235 (2020)
2010 – 2019
- 2019
- [c2]Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM 2019: 320 - [c1]Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ICTAI 2019: 760-767 - [i6]Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR abs/1905.09345 (2019) - [i5]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 abs/1908.11781 (2019) - 2018
- [i4]Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding:
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. CoRR abs/1809.06691 (2018) - [i3]Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. CoRR abs/1810.00091 (2018) - [i2]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 abs/1810.00867 (2018) - [i1]Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding:
Penetrating the Fog: the Path to Efficient CNN Models. CoRR abs/1810.04231 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-17 20:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
