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

Algorithm Development

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

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

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

Masked-Based Learning Method for Neural Network Multiple Task Adaption

Safety-Guaranteed Driving Control of Automated Vehicles

An infrastructure for memory management on LLM multi-core architectures

An Efficient Stack Data Management for Scratchpad Memory based Multi-core Processors

Automated Glomerular Segmentation Pipeline for 3D MRI

Modular High Resolution X-Ray Tomography System: Source, Sample Manipulation, Detector

InAs/InAsBi Superlattice Materials for Long Wavelength Infrared Optoelectronic Applications