Neural Computing

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference

Fracture Pattern Prediction with Random Microstructure using Deep Neural Network

Time-Synchronized Topology and State Estimation in Real-Time Unobservable Distribution Systems

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

PathSeeker: A Fast-Mapping Algorithm for CGRAs

Improving Shape Awareness and Interpretability in Deep Networks

Polynomial Implicit Neural Representations for Large Diverse Datasets