Hardware ODE Solvers using Stochastic Circuits. - Siting Liu 001; Jie Han 001 (DAC, 2017)

Energy efficient stochastic computing with Sobol sequences. - Siting Liu 001; Jie Han 001 (DATE, 2017)

A Stochastic Computational Multi-Layer Perceptron with Backward Propagation. - Yidong Liu; Siting Liu 001; Yanzhi Wang; Fabrizio Lombardi; Jie Han 001 (IEEE Trans. Computers, 2018)

Gradient Descent Using Stochastic Circuits for Efficient Training of Learning Machines. - Siting Liu 001; Honglan Jiang; Leibo Liu; Jie Han 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Toward Energy-Efficient Stochastic Circuits Using Parallel Sobol Sequences. - Siting Liu 001; Jie Han 001 (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Dynamic Stochastic Computing for Digital Signal Processing Applications. - Siting Liu 001; Jie Han 001 (DATE, 2020)

A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. - Yidong Liu; Siting Liu 001; Yanzhi Wang; Fabrizio Lombardi; Jie Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks. - Han Li; Heng Shi; Honglan Jiang; Siting Liu 001 (NANOARCH, 2022)

Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective. - Cheng Liu 008; Zhen Gao 005; Siting Liu 001; Xuefei Ning; Huawei Li 001; Xiaowei Li 001 (VTS, 2022)

Fault-Tolerant Deep Learning: A Hierarchical Perspective. - Cheng Liu 008; Zhen Gao 005; Siting Liu 001; Xuefei Ning; Huawei Li 001; Xiaowei Li 001 (CoRR, 2022)

Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. - Ziheng Wang; Farzad Niknia; Shanshan Liu 001; Honglan Jiang; Siting Liu 001; Pedro Reviriego; Fabrizio Lombardi (ISCAS, 2023)

Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems. - Xiaochen Tang; Shanshan Liu 001; Farzad Niknia; Ziheng Wang; Siting Liu 001; Pedro Reviriego; Fabrizio Lombardi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

An Energy-Efficient Binary-Interfaced Stochastic Multiplier Using Parallel Datapaths. - Yongqiang Zhang 006; Siting Liu 001; Jie Han 001; Zhendong Lin; Shaowei Wang; Xin Cheng 001; Guangjun Xie (IEEE Trans. Very Large Scale Integr. Syst., 2023)

QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference. - Xinkuang Geng; Siting Liu 001; Leibo Liu; Jie Han 001; Honglan Jiang (DAC, 2024)

A High-Performance Stochastic Simulated Bifurcation Ising Machine. - Tingting Zhang; Hongqiao Zhang; Zhengkun Yu; Siting Liu 001; Jie Han 001 (DAC, 2024)

Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks. - Xinkuang Geng; Siting Liu 001; Jianfei Jiang 001; Kai Jiang; Honglan Jiang (DATE, 2024)

Can Stochastic Computing Truly Tolerate Bit Flips? - Yutong Wang; Zhaojun Ni; Siting Liu 001 (ACM Great Lakes Symposium on VLSI, 2024)

LDL-SCA: Linearized Deep Learning Side-Channel Attack Targeting Multi-tenant FPGAs✱. - Yankun Zhu; Siting Liu 001; Liyu Yang; Pingqiang Zhou (ACM Great Lakes Symposium on VLSI, 2024)

ApproxPilot: A GNN-based Accelerator Approximation Framework. - Qing Zhang; Cheng Liu 008; Siting Liu 001; Yajuan Hui; Huawei Li 001; Xiaowei Li 001 (CoRR, 2024)

Lookup Table Refactoring: Towards Efficient Logarithmic Number System Addition for Large Language Models. - Xinkuang Geng; Siting Liu 001; Hui Wang 023; Jie Han 001; Honglan Jiang (DATE, 2025)

A Hardware Prototype of an MRAM-based Stochastic Computing System. - Zhengkun Yu; Tianhan Fei; Hao Cai 001; Heng Shi; Yumeng Yang; Siting Liu 001 (ACM Great Lakes Symposium on VLSI, 2025)

An SRAM-based Stochastic Number Generator for Stochastic Computing. - Heng Shi; Zhengkun Yu; Tingting Zhang; Jie Han 001; Yumeng Yang; Siting Liu 001 (ISCAS, 2025)