3 papers
cs.ET2025
Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory
Ying-Hao Wei, Zishen Wan, Brian Crafton +2
With the escalating demand for power-efficient neural network architectures, non-volatile compute-in-memory designs have garnered significant attention. However, owing to the natur…
cs.RO2024
VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines
Zishen Wan, Yiming Gan, Bo Yu +3
The next ubiquitous computing platform, following personal computers and smartphones, is poised to be inherently autonomous, encompassing technologies like drones, robots, and self…
cs.AR2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
Zishen Wan, Che-Kai Liu, Hanchen Yang +13
The remarkable advancements in artificial intelligence (AI), primarily driven by deep neural networks, are facing challenges surrounding unsustainable computational trajectories, l…