Siting Liu

27 papers A* 4A 4B 1C 2Misc 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
LUT-ALMs: Trading Off Accuracy and Power for Approximate Logarithmic Multipliers via LUT Optimization.
IEEE Trans. Computers
Wenhui Zhang, Xinkuang Geng, Xiaolu Hu, Hui Wang, Jianfei Jiang, Qin Wang, Siting Liu, Jie Han, Honglan Jiang
2025 — conf
A Hardware Prototype of an MRAM-based Stochastic Computing System.
ACM Great Lakes Symposium on VLSI
Zhengkun Yu, Tianhan Fei, Hao Cai, Heng Shi, Yumeng Yang, Siting Liu
2025 C conf
An SRAM-based Stochastic Number Generator for Stochastic Computing.
ISCAS
Heng Shi, Zhengkun Yu, Tingting Zhang, Jie Han, Yumeng Yang, Siting Liu
2025 A* conf
EPIC: Error PredIction and Correction for Power-Efficient Voltage Underscaling Multiply-Accumulate Unit.
DAC
Tongjing Wu, Xiaolu Hu, Tong Li, Siting Liu, Hui Wang, Weifeng He, Zhigang Mao, Honglan Jiang
2025 B conf
Layer Fusion-Accelerated Online Scheduling for Multi-Tenancy on Heterogeneous DNN Accelerators.
ICPADS
Lei Jia, Zhaojun Ni, Yutong Wang, Siting Liu, Chundong Wang
2025 A conf
Lookup Table Refactoring: Towards Efficient Logarithmic Number System Addition for Large Language Models.
DATE
Xinkuang Geng, Siting Liu, Hui Wang, Jie Han, Honglan Jiang
2025 J jnl
Low-Power Multiplier Designs by Leveraging Correlations of 2$\times$×2 Encoded Partial Products.
IEEE Trans. Computers
Ao liu, Siting Liu, Hui Wang, Qin Wang, Fabrizio Lombardi, Zhigang Mao, Honglan Jiang
2024 A* conf
A High-Performance Stochastic Simulated Bifurcation Ising Machine.
DAC
Tingting Zhang, Hongqiao Zhang, Zhengkun Yu, Siting Liu, Jie Han
2024 J jnl
ApproxPilot: A GNN-based Accelerator Approximation Framework.
CoRR
Qing Zhang, Cheng Liu, Siting Liu, Yajuan Hui, Huawei Li, Xiaowei Li
2024 — conf
Can Stochastic Computing Truly Tolerate Bit Flips?
ACM Great Lakes Symposium on VLSI
Yutong Wang, Zhaojun Ni, Siting Liu
2024 A conf
Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks.
DATE
Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang, Honglan Jiang
2024 — conf
LDL-SCA: Linearized Deep Learning Side-Channel Attack Targeting Multi-tenant FPGAs✱.
ACM Great Lakes Symposium on VLSI
Yankun Zhu, Siting Liu, Liyu Yang, Pingqiang Zhou
2024 A* conf
QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference.
DAC
Xinkuang Geng, Siting Liu, Leibo Liu, Jie Han, Honglan Jiang
2023 J jnl
An Energy-Efficient Binary-Interfaced Stochastic Multiplier Using Parallel Datapaths.
IEEE Trans. Very Large Scale Integr. Syst.
Yongqiang Zhang, Siting Liu, Jie Han, Zhendong Lin, Shaowei Wang, Xin Cheng, Guangjun Xie
2023 J jnl
Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Xiaochen Tang, Shanshan Liu, Farzad Niknia, Ziheng Wang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi
2023 C conf
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function.
ISCAS
Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi
2023 — ed.
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023, Dresden, Germany, December 18-20, 2023
NANOARCH
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
2022 J jnl
Fault-Tolerant Deep Learning: A Hierarchical Perspective.
CoRR
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
2022 — conf
HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks.
NANOARCH
Han Li, Heng Shi, Honglan Jiang, Siting Liu
2022 Misc conf
Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective.
VTS
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
2021 J jnl
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications.
IEEE Trans. Neural Networks Learn. Syst.
Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han
2020 A conf
Dynamic Stochastic Computing for Digital Signal Processing Applications.
DATE
Siting Liu, Jie Han
2018 J jnl
A Stochastic Computational Multi-Layer Perceptron with Backward Propagation.
IEEE Trans. Computers
Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han
2018 J jnl
Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Siting Liu, Honglan Jiang, Leibo Liu, Jie Han
2018 J jnl
Toward Energy-Efficient Stochastic Circuits Using Parallel Sobol Sequences.
IEEE Trans. Very Large Scale Integr. Syst.
Siting Liu, Jie Han
2017 A conf
Energy efficient stochastic computing with Sobol sequences.
DATE
Siting Liu, Jie Han
2017 A* conf
Hardware ODE Solvers using Stochastic Circuits.
DAC
Siting Liu, Jie Han