Publications

Filters: Author is Ding, Yufei  [Clear All Filters]
Conference Paper
Liu L, Deng L, Chen Z, Wang Y, Li S, Zhang J, Yang Y, Gu Z, Ding Y, Xie Y.  2020.  Boosting deep neural network efficiency with dual-module inference. International Conference on Machine Learning.
Hu X, Liang L, Li S, Deng L, Zuo P, Ji Y, Xie X, Ding Y, Liu C, Sherwood T et al..  2020.  Deepsniffer: A dnn model extraction framework based on learning architectural hints. Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems.
Liu L, Qu Z, Deng L, Tu F, Li S, Hu X, Gu Z, Ding Y, Xie Y.  2020.  Duet: Boosting deep neural network efficiency on dual-module architecture. 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
Li G, Ding Y, Xie Y.  2020.  Eliminating redundant computation in noisy quantum computing simulation. 2020 57th ACM/IEEE Design Automation Conference (DAC).
Gu P, Xie X, Ding Y, Chen G, Zhang W, Niu D, Xie Y.  2020.  iPIM: Programmable in-memory image processing accelerator using near-bank architecture. 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).
Feng B, Wang Y, Ding Y.  2021.  Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Li G, Ding Y, Xie Y.  2020.  Towards efficient superconducting quantum processor architecture design. Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems.