Yufei Ding
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
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
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, 579-587, 2015
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Notices 50 (6), 379-390, 2015
{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
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
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
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
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
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
A 28nm 29.2 TFLOPS/W BF16 and 36.5 TOPS/W INT8 reconfigurable digital CIM processor with unified FP/INT pipeline and bitwise in-memory booth multiplication for cloud deep …
F Tu, Y Wang, Z Wu, L Liang, Y Ding, B Kim, L Liu, S Wei, Y Xie, S Yin
2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022
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
Paulihedral: a generalized block-wise compiler optimization framework for quantum simulation kernels
G Li, A Wu, Y Shi, A Javadi-Abhari, Y Ding, Y Xie
Proceedings of the 27th ACM International Conference on Architectural …, 2022
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
Sgquant: Squeezing the last bit on graph neural networks with specialized quantization
B Feng, Y Wang, X Li, S Yang, X Peng, Y Ding
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
Understanding gnn computational graph: A coordinated computation, io, and memory perspective
H Zhang, Z Yu, G Dai, G Huang, Y Ding, Y Xie, Y Wang
Proceedings of Machine Learning and Systems 4, 467-484, 2022
EQC: ensembled quantum computing for variational quantum algorithms
S Stein, N Wiebe, Y Ding, P Bo, K Kowalski, N Baker, J Ang, A Li
Proceedings of the 49th Annual International Symposium on Computer …, 2022
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