About Me
I am a PhD student at Aalto University (Finland), advised by Professor Martin Andraud. I received my master's degree in Microelectronic Circuit Design from Aalto University in 2022, where I was exploring different number systems for probabilistic circuits and applying probabilistic circuits for self-adapted transceivers during research assistant and master's thesis work. From October 2024 to January 2025, I was a visiting scholar at MICAS, KU Leuven (Belgium), under the guidance of Professor Marian Verhelst. My research interests are designing AI accelerators for energy-efficient TPMs and neuro-symbolic models, exploring ways to enhance explainable AI's hardware efficiency.
Publications
- K Periasamy, J Leslin, A Korsman, L Yao, M Andraud, AutoPC: an open-source framework for efficient probabilistic reasoning on FPGA hardware, 2024 22nd IEEE Interregional NEWCAS Conference (NEWCAS), 2024. [Link]
- L Yao, M Trapp, J Leslin, G Singh, P Zhang, K Periasamy, M Andraud, On Hardware-efficient Inference in Probabilistic Circuits, The 40th Conference on Uncertainty in Artificial Intelligence, 2024. [Link]
- L Yao, M Trapp, K Periasamy, J Leslin, G Singh, M Andraud, Logarithm-approximate floating-point multiplier for hardware-efficient inference in probabilistic circuits, The 6th Workshop on Tractable Probabilistic Modeling, 2023. [Link]
- Leslin, A Hyttinen, K Periasamy, L Yao, M Trapp, M Andraud, A hardware perspective to evaluating probabilistic circuits, International Conference on Probabilistic Graphical Models, 2022. [Link]
Curriculum Vitae
Contact
Email: lingyun.yao@aalto.fi