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Jian-Jia Chen
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Publications
- 2023
- [j75]Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch:
HW/SW Codesign for Approximation-Aware Binary Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 33-47 (2023) - [j74]Mikail Yayla, Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch:
Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 940-955 (2023) - [j69]Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Hussam Amrouch, Chia-Lin Yang:
Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4380-4393 (2023) - [c221]Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch:
Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. ISLPED 2023: 1-6 - [c212]Mikail Yayla, Simon Thomann, Md. Mazharul Islam, Ming-Liang Wei, Shu-Yin Ho, Ahmedullah Aziz, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch:
Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories. VTS 2023: 1-10 - [i30]Mikail Yayla, Simon Thomann, Ming-Liang Wei, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch:
HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization. CoRR abs/2309.02111 (2023) - 2022
- [j62]Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch:
FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers 71(7): 1681-1695 (2022) - [j60]Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch:
Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 69(6): 2516-2528 (2022) - [j59]Christian Hakert, Kuan-Hsun Chen, Horst Schirmeier, Lars Bauer, Paul R. Genssler, Georg von der Brüggen, Hussam Amrouch, Jörg Henkel, Jian-Jia Chen:
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory. ACM Trans. Embed. Comput. Syst. 21(1): 5:1-5:24 (2022) - 2021
- [c198]Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, Hussam Amrouch:
FeFET and NCFET for Future Neural Networks: Visions and Opportunities. DATE 2021: 300-305 - [c193]Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla:
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c192]Ming-Liang Wei, Mikail Yayla, Shu-Yin Ho, Jian-Jia Chen, Chia-Lin Yang, Hussam Amrouch:
Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization. ICCAD 2021: 1-9 - 2020
- [i18]Christian Hakert, Kuan-Hsun Chen, Paul R. Genssler, Georg von der Brüggen, Lars Bauer, Hussam Amrouch, Jian-Jia Chen, Jörg Henkel:
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory. CoRR abs/2004.03244 (2020)
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