Yufei Ding
Cited by
Cited by
Tackling the qubit mapping problem for NISQ-era quantum devices
G Li, Y Ding, Y Xie
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
Yinyang k-means: A drop-in replacement of the classic k-means with consistent speedup
Y Ding, Y Zhao, X Shen, M Musuvathi, T Mytkowicz
International Conference on Machine Learning (ICML), 579-587, 2015
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Conference on Programming Language Design and Implementation …, 2015
Rethinking the performance comparison between SNNS and ANNS
L Deng, Y Wu, X Hu, L Liang, Y Ding, G Li, G Zhao, P Li, Y Xie
Neural networks 121, 294-307, 2020
Deepsniffer: A dnn model extraction framework based on learning architectural hints
X Hu, L Liang, S Li, L Deng, P Zuo, Y Ji, X Xie, Y Ding, C Liu, T Sherwood, ...
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
Projection-based runtime assertions for testing and debugging quantum programs
G Li, L Zhou, N Yu, Y Ding, M Ying, Y Xie
Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-29, 2020
{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
15th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2021
Tianjic: A unified and scalable chip bridging spike-based and continuous neural computation
L Deng, G Wang, G Li, S Li, L Liang, M Zhu, Y Wu, Z Yang, Z Zou, J Pei, ...
IEEE Journal of Solid-State Circuits 55 (8), 2228-2246, 2020
Neural network model extraction attacks in edge devices by hearing architectural hints
X Hu, L Liang, L Deng, S Li, X Xie, Y Ji, Y Ding, C Liu, T Sherwood, Y Xie
arXiv preprint arXiv:1903.03916, 2019
iPIM: Programmable in-memory image processing accelerator using near-bank architecture
P Gu, X Xie, Y Ding, G Chen, W Zhang, D Niu, Y Xie
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
Towards efficient superconducting quantum processor architecture design
G Li, Y Ding, Y Xie
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
Dynamic sparse graph for efficient deep learning
L Liu, L Deng, X Hu, M Zhu, G Li, Y Ding, Y Xie
arXiv preprint arXiv:1810.00859, 2018
Sweet knn: An efficient knn on gpu through reconciliation between redundancy removal and regularity
G Chen, Y Ding, X Shen
33rd IEEE International Conference on Data Engineering (ICDE), 621-632, 2017
Weighted-sampling audio adversarial example attack
X Liu, K Wan, Y Ding, X Zhang, Q Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4908-4915, 2020
Inter-disciplinary research challenges in computer systems for the 2020s
A Cohen, X Shen, J Torrellas, J Tuck, Y Zhou, S Adve, I Akturk, S Bagchi, ...
National Science Foundation, 2018
Comprehensive snn compression using admm optimization and activity regularization
L Deng, Y Wu, Y Hu, L Liang, G Li, X Hu, Y Ding, P Li, Y Xie
IEEE transactions on neural networks and learning systems, 2021
Exploring adversarial attack in spiking neural networks with spike-compatible gradient
L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding, P Li, Y Xie
IEEE transactions on neural networks and learning systems, 2021
Duet: Boosting deep neural network efficiency on dual-module architecture
L Liu, Z Qu, L Deng, F Tu, S Li, X Hu, Z Gu, Y Ding, Y Xie
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
Egemm-tc: Accelerating scientific computing on tensor cores with extended precision
B Feng, Y Wang, G Chen, W Zhang, Y Xie, Y Ding
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
Dasm: Data-streaming-based computing in nonvolatile memory architecture for embedded system
L Chang, X Ma, Z Wang, Y Zhang, Y Ding, W Zhao, Y Xie
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (9 …, 2019
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