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Siting Liu 0001
Person information
- affiliation: Shanghaitech University, China
- unicode name: 刘思廷
Other persons with the same name
- Siting Liu 0002
— Chinese University of Hong Kong, Hong Kong, SAR, China
- Siting Liu 0003 — University of California, Los Angeles, CA, USA
- Siting Liu 0004
— Weifang University, Weifang, China
- Siting Liu 0005 — Houston Methodist Research Institute, Houston, TX, USA
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2020 – today
- 2024
- [c9]Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang, Honglan Jiang:
Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks. DATE 2024: 1-6 - [c8]Yankun Zhu
, Siting Liu
, Liyu Yang
, Pingqiang Zhou
:
LDL-SCA: Linearized Deep Learning Side-Channel Attack Targeting Multi-tenant FPGAs✱. ACM Great Lakes Symposium on VLSI 2024: 583-587 - [c7]Yutong Wang
, Zhaojun Ni
, Siting Liu
:
Can Stochastic Computing Truly Tolerate Bit Flips? ACM Great Lakes Symposium on VLSI 2024: 718-723 - [i2]Qing Zhang, Cheng Liu, Siting Liu, Yajuan Hui, Huawei Li, Xiaowei Li:
ApproxPilot: A GNN-based Accelerator Approximation Framework. CoRR abs/2407.11324 (2024) - 2023
- [j6]Xiaochen Tang
, Shanshan Liu
, Farzad Niknia
, Ziheng Wang
, Siting Liu
, Pedro Reviriego
, Fabrizio Lombardi
:
Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 270-284 (2023) - [j5]Yongqiang Zhang
, Siting Liu
, Jie Han
, Zhendong Lin
, Shaowei Wang
, Xin Cheng
, Guangjun Xie
:
An Energy-Efficient Binary-Interfaced Stochastic Multiplier Using Parallel Datapaths. IEEE Trans. Very Large Scale Integr. Syst. 31(9): 1439-1443 (2023) - [c6]Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi:
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. ISCAS 2023: 1-5 - [e1]Ronald Tetzlaff, Fernando Corinto, Neil Kemp, Alon Ascoli, Andreas Mögel, Meng-Fan Marvin Chang, Joseph S. Friedman, Siting Liu, John Paul Strachan, Stephan Menzel, Mehdi B. Tahoori, Martin Ziegler, Jason Eshraghian, Ioannis Messaris, Christian Koitzsch, Thomas Mikolajick, Vasileios G. Ntinas:
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023, Dresden, Germany, December 18-20, 2023. ACM 2023 [contents] - 2022
- [c5]Han Li
, Heng Shi
, Honglan Jiang
, Siting Liu
:
HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks. NANOARCH 2022: 22:1-22:6 - [c4]Cheng Liu, Zhen Gao, Siting Liu
, Xuefei Ning, Huawei Li, Xiaowei Li:
Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective. VTS 2022: 1-12 - [i1]Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li:
Fault-Tolerant Deep Learning: A Hierarchical Perspective. CoRR abs/2204.01942 (2022) - 2021
- [j4]Yidong Liu
, Siting Liu
, Yanzhi Wang, Fabrizio Lombardi
, Jie Han
:
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2809-2824 (2021) - 2020
- [c3]Siting Liu
, Jie Han:
Dynamic Stochastic Computing for Digital Signal Processing Applications. DATE 2020: 604-609
2010 – 2019
- 2018
- [j3]Yidong Liu
, Siting Liu
, Yanzhi Wang, Fabrizio Lombardi
, Jie Han
:
A Stochastic Computational Multi-Layer Perceptron with Backward Propagation. IEEE Trans. Computers 67(9): 1273-1286 (2018) - [j2]Siting Liu
, Honglan Jiang
, Leibo Liu
, Jie Han
:
Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2530-2541 (2018) - [j1]Siting Liu
, Jie Han
:
Toward Energy-Efficient Stochastic Circuits Using Parallel Sobol Sequences. IEEE Trans. Very Large Scale Integr. Syst. 26(7): 1326-1339 (2018) - 2017
- [c2]Siting Liu
, Jie Han:
Hardware ODE Solvers using Stochastic Circuits. DAC 2017: 81:1-81:6 - [c1]Siting Liu
, Jie Han:
Energy efficient stochastic computing with Sobol sequences. DATE 2017: 650-653
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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