Machine Learning

Systems and Algorithms for Few-Shot Node Classification on Graphs

Multi-fidelity Data Aggregation using Convolutional Neural Networks

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Weight-Agnostic Federated Neural Architecture Search

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating

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

Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes

Multi-Aircraft Trajectory Prediction Using Bayesian Spatio-Temporal Graph Transformer Network

Dynamic and Efficient Hardware/Software Codesigns of Deep Learning Accelerators