Yuke Wang
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GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
Y Wang, B Feng, G Li, S Li, L Deng, Y Xie, Y Ding
OSDI'21: 15th USENIX Symposium on Operating Systems Design and …, 2021
Rubik: A hierarchical architecture for efficient graph neural network training
X Chen, Y Wang, X Xie, X Hu, A Basak, L Liang, M Yan, L Deng, Y Ding, ...
TCAD'21: IEEE Transactions on Computer-Aided Design of Integrated Circuits …, 2021
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
B Feng, Y Wang, X Li, S Yang, X Peng, Y Ding
ICTAI'20: IEEE International Conference on Tools with Artificial …, 2020
QGTC: Accelerating Quantized GNN via GPU Tensor Core
Y Wang, B Feng, Y Ding
PPoPP'22: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and …, 2022
EGEMM-TC: accelerating scientific computing on tensor cores with extended precision
B Feng, Y Wang, G Chen, W Zhang, Y Xie, Y Ding
PPoPP'21: Proceedings of the 26th ACM SIGPLAN symposium on principles and …, 2021
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
B Feng, Y Wang, T Geng, A Li, Y Ding
SC'21: The International Conference for High Performance Computing …, 2021
Uag: Uncertainty-aware attention graph neural network for defending adversarial attacks
B Feng, Y Wang, Y Ding
AAAI'21: Proceedings of the AAAI Conference on Artificial Intelligence 35 (8 …, 2021
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs
Y Wang, B Feng, Z Wang, G Huang, Y Ding
USENIX ATC'23: 2023 USENIX Annual Technical Conference, 2023
Chatter detection in high-speed milling processes based on ON-LSTM and PBT
F Shi, H Cao, Y Wang, B Feng, Y Ding
The International Journal of Advanced Manufacturing Technology 111, 3361-3378, 2020
Palleon: A runtime system for efficient video processing toward dynamic class skew
B Feng, Y Wang, G Li, Y Xie, Y Ding
USENIX ATC'21: 2021 USENIX Annual Technical Conference, 2021
Saga: sparse adversarial attack on EEG-based brain computer interface
B Feng, Y Wang, Y Ding
ICASSP'21: 2021 IEEE International Conference on Acoustics, Speech and …, 2021
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms
Y Wang, B Feng, Z Wang, T Geng, K Barker, A Li, Y Ding
OSDI'23: 17th USENIX Symposium on Operating Systems Design and …, 2023
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
Y Wang, B Feng, Y Ding
IPDPS'21 : 35th IEEE International Parallel & Distributed Processing Symposium, 2021
Boosting Deep Neural Network Efficiency with Dual-Module Inference
L Liu, L Deng, Z Chen, Y Wang, S Li, J Zhang, Y Yang, Z Gu, Y Ding, ...
ICML'20: International Conference on Machine Learning, 2020
Towards efficient ansatz architecture for variational quantum algorithms
A Wu, G Li, Y Wang, B Feng, Y Ding, Y Xie
arXiv preprint arXiv:2111.13730, 2021
EL-Rec: efficient large-scale recommendation model training via tensor-train embedding table
Z Wang, Y Wang, B Feng, D Mudigere, B Muthiah, Y Ding
SC'22: International Conference for High Performance Computing, Networking …, 2022
A compilation framework for photonic one-way quantum computation
H Zhang, A Wu, Y Wang, G Li, H Shapourian, A Shabani, Y Ding
ISCA'23: The International Symposium on Computer Architecture, 2022
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs
Y Wang, B Feng, G Li, G Tzimpragos, L Deng, Y Xie, Y Ding
CCGrid'21: 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and …, 2021
Alcop: Automatic load-compute pipelining in deep learning compiler for ai-gpus
G Huang, Y Bai, L Liu, Y Wang, B Yu, Y Ding, Y Xie
Proceedings of Machine Learning and Systems 5, 680-694, 2023
Kpynq: A work-efficient triangle-inequality based k-means on fpga
Y Wang, Z Zeng, B Feng, L Deng, Y Ding
FCCM'19: 2019 IEEE 27th Annual International Symposium on Field-Programmable …, 2019
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