Center for Accelerated Real Time Analytics (CARTA)

Directed by Prof. Ming Zhao, the Center for Accelerated Real Time Analytics (CARTA) is a NSF funded Industry-University Cooperative Research Center (IUCRC) that addresses the challenges in real time data analytics and machine learning using accelerated and next generation systems. Faculty, spread across four university sites of ASU, Rutgers, UMBC, and U. of Miami participate[…]

MSST 2024 Call for Papers

The 37th IEEE Symposium on Massive Storage Systems and Technologies (MSST 2024) will be held at Santa Clara University, in the heart of Silicon Valley, from June 3rd to 7th, 2024, and offer a full week dedicated to storage technology. This year’s conference will include a two-day research track of peer-reviewed papers on the design,[…]

ACM TOS Special Issue Call for Papers

ACM Transactions on Storage invites academic researchers and industry professionals from a broad range of disciplines to submit to the Special Issue on Past, Present, and Future of Storage Technologies. Guest Editors: Geoff Kuenning, Emeritus Professor at Harvey Mudd College, geoff@cs.hmc.edu Youjip Won, Professor at the Korea Advanced Institute of Science and Technology, ywon@kaist.ac.kr Ming Zhao, Associate Professor at the[…]

ICASSP Presentations

Dr. Zhao presented two papers at the flagship signal processing conference ICASSP and its satellite workshop on “A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning” (YouTube video) and “Confidence-based Federated Distillation for Vision-based Lane-centering”.

AISTATS Paper

Congrats to VISA PhD student Kaiqi Zhao on her paper “Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions” (YouTube Video) published and presented at AISTATS, a top AI conference.