Please see Google Scholar.
1. Dynamic stochastic computing for efficient training of neural networks. CSTIC, Symposium IX: Design and automation of circuits and systems, 2022. (slide)
2. Dynamic stochastic computing and its applications. Invited talk at ECNU, Shanghai, 2021-06-02. (slide)
3. Dynamic stochastic circuits for gradient descent with momentum. Hardware-aware efficient training (HAET) workshop at ICLR conference, virtual, 2021-05-08. (slide/poster)
4. Introduction to dynamic stochastic computing. Stochastic COmputing for Neuromorphic Architectures (SCONA) workshop at DATE conference, virtual, 2020-03-13. (slide)
5. Dynamic stochastic computing for digital signal processing applications. DATE'20 conference, virtual, 2020-03. (slide)
6. Hardware ODE solvers using stochastic circuits. DAC'17 conference, Austin, 2017-06. (slide/poster)
7. Energy efficient stochastic computing with Sobol sequences. DATE'17 conference, Lausanne, 2017-03. (slide/poster)
1. Reviewers for IEEE TCASI/II, TVLSI, TCAD, etc.
2. ACM member since 2017; IEEE member since 2021.
3. Session chair at NanoARCH 2021.
4. Publicity chair at NanoARCH 2022.
1. Han Li (Master student)
2. Hongqiao Zhang (Master student)
3. Yutao Gong (Exam-exemplified master student)
4. Zhaojun Ni (Master student)
5. Heng Shi (Master student)
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