• Circuits and systems design for stochastic computing and its applications

• Edge intelligent devices

• Neuromorphic computing

Siting Liu received the B.Eng. and M.Eng. degrees in electrical engineering and automation from the Harbin Institute of Technology, Harbin, Heilongjiang, China, in 2012 and 2014, respectively, and the Ph.D. degree from the University of Alberta, Edmonton, AB, Canada, in 2019. During 2019-2021, he was a postdoctoral researcher with the Department of Electrical and Computer Engineering at McGill University, Montreal, QC, Canada. In 2021 August, he joined ShanghaiTech University as a tenure-track assistant professor.

1. Siting Liu, Warren J. Gross and Jie Han. “Introduction to Dynamic Stochastic Computing,” accepted in IEEE Circuits and Systems Magazine 20.3 (2020): 19-33.

2. Siting Liu, Honglan Jiang, Leibo Liu and Jie Han. “Gradient Descent using Stochastic Circuits for Efficient Training of Learning Machines,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 37, no. 11, pp. 2530-2541, Nov. 2018.

3. Siting Liu and Jie Han, “Toward Energy-Efficient Stochastic Circuits Using Parallel Sobol Sequences,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems (TVLSI), vol. 26, no. 7, pp. 1326-1339, July 2018.