3 papers
cs.AR2026
Memory-Guided Unified Hardware Accelerator for Mixed-Precision Scientific Computing
Chuanzhen Wang, Leo Zhang, Eric Liu
Recent hardware acceleration advances have enabled powerful specialized accelerators for finite element computations, spiking neural network inference, and sparse tensor operations…
cs.DC2026
Self-Evolving Distributed Memory Architecture for Scalable AI Systems
Zixuan Li, Chuanzhen Wang, Haotian Sun
Distributed AI systems face critical memory management challenges across computation, communication, and deployment layers. RRAM based in memory computing suffers from scalability…
eess.SY2023
Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations
Chuanzheng Wang, Yiming Meng, Jun Liu +1
Control barrier functions are widely used to synthesize safety-critical controls. However, the presence of Gaussian-type noise in dynamical systems can generate unbounded signals a…