Congrats to Qirui Yang on passing PhD defense
Congratulations to Qirui Yang on successfully defending his PhD dissertation on “Optimizing Memory and Storage Disaggregation for Data-intensive Systems”!
Congratulations to Qirui Yang on successfully defending his PhD dissertation on “Optimizing Memory and Storage Disaggregation for Data-intensive Systems”!
VISA PhD student Kaiqi Zhao‘s work “Self-Supervised Quantization-Aware Knowledge Distillation” won the Best Poster Award at the Eighth ACM/IEEE Symposium on Edge Computing (SEC 2023)! Congrats!
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[…]
Dr. Zhao gave a talk on “Towards an Intelligent Edge” on the ASU AI Day. You can watch it here.
VISA lab’s undergraduate research assistant Lillian Seebold has received the Fulton Undergraduate Research Initiative (FURI) Award to support her research on Optimizing Disaggregated Memory for Large Machine Learning Applications.
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 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[…]
Dr. Zhao gave a keynote talk at the IEEE RSDM-GeoSci Workshop on DataStorm (from Cloud to Edge)—A Data-driven System for Disaster Management
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”.
Dr. Zhao presented a paper on “GPU-enabled Function-as-a-Service for Machine Learning Inference” at a top distributed computing conference, IPDPS 2023.