Researcher/Assistant professor@Shanghaitech University (tenure-track)

Room 3-322, School of Information Science and Technology

Email: liust at shanghaitech.edu.cn

Tel: +86 (021)-20684852

Research interests: stochastic computing; spiking neural networks; AI accelerators; digital/analog VLSI design; Ising machine.

Research assistant/postdoc/graduate student positions are available. Interested candidate please send me an email with your CV and research statement.

Candidates from all identities and backgrounds are encouraged to apply.

Teaching

1. Artificial Intelligence Computing Systems. 2022/2023/2024/2025 (up-coming). ShanghaiTech University.

2. Computer Architecture I. 2023/2024/2025 Spring. ShanghaiTech University.

Publications

Please see Google Scholar.

Talks

1. Energy efficient stochastic computing with Sobol sequences. DATE'17 conference, Lausanne, 2017-03. (slide/poster)
2. Hardware ODE solvers using stochastic circuits. DAC'17 conference, Austin, 2017-06. (slide/poster)
3. Dynamic stochastic computing for digital signal processing applications. DATE'20 conference, virtual, 2020-03. (slide)
4. Introduction to dynamic stochastic computing. Stochastic COmputing for Neuromorphic Architectures (SCONA) workshop at DATE conference, virtual, 2020-03-13. (slide)
5. Dynamic stochastic circuits for gradient descent with momentum. Hardware-aware efficient training (HAET) workshop at ICLR conference, virtual, 2021-05-08. (slide/poster)
6. Dynamic stochastic computing and its applications. Invited talk at ECNU, Shanghai, 2021-06-02. (slide)
7. Dynamic stochastic computing for efficient training of neural networks. CSTIC, Symposium IX: Design and automation of circuits and systems, virtual, 2022. (slide)
8. Can Stochastic Computing Truly Tolerate Bit Flips? GLSVLSI, Tampa Bay area, 2024. (slide)
9. A High-Performance Stochastic Simulated Bifurcation Ising Machine. DAC, San Francisco, 2024. (slide)
10. A Stochastic Computing Microarchitecture for Differential Equations. 2nd Workwhop on unary computing, co-located with ASPLOS, San Diego, 2024. (slide)
11. Energy-Efficienct AI Acceleration through Approximation. International embedded system innovation forum at electronica China, Shanghai, 2025. (slide)
12. Teaching Computer Architecture and AI Accelerator Design through the RISC-V Ecosystem. RISC-V China Summit, Shanghai, 2025. (slide)

Awards and honors

1. "Execellent tutor" in National Undergraduate Electronics Design Contest, Shanghai Municipal Education Commission. 2023.
2. "Execellent in reseach" by the school of information science and technology, and "Execellent faculty of 2024", ShanghaiTech. 2024.
3. "Execellent mentor" of Kedao College, ShanghaiTech. 2024.

Professional services

1. Reviewers for IEEE TCASI/II, TVLSI, TCAD, TC, etc.
2. ACM member since 2017; IEEE member since 2021; CCF (China Computer Federation) member since 2021.
3. Session chair at NanoARCH 2021.
4. Publicity chair at NanoARCH 2022/2023.
5. TPC member of ICCAD 2023/2024/2025.
6. Local arrangement chair of FPT 2025.

Current students

1. Zhaojun Ni (Ph.D. student)
2. Yutong Wang (Ph.D. student)
3. Zhengkun Yu (master student)
4. Ruyue Yan (master student)
5. Shengwei Gu (master student)
6. Lehan Liu (master student)
7. Shengning Cao (master student)
8. Jianzhao Wang (master student)
9. Jiahui Li (master student, co-supervised with Prof. Chundong Wang)

Graduated students/first employment

1. Han Li/Institute of Electronic Design Automation, Peking University (Wuxi)
2. Hongqiao Zhang/Civil Affairs Bureau of Guangzhou Municipality
3. Heng Shi/Changxin Memory Technologies (CXMT)
4. Yutao Gong/Changxin Memory Technologies (CXMT)

Siting Liu (刘思廷)