Ying Mao
Fordham University, New York, NY.
Dr. Ying Mao is a tenured Associate Professor in the Department of Computer and Information Science
at Fordham University
in New York City. Currently, he serves as the Associate Chair for Undergraduate Studies
.
He received his Ph.D. in Computer Science from the University of Massachusetts Boston advised by Dr. Bo Sheng . Before that, he obtained the Master of Science in Electrical Engineering from the The State University of New York at Buffalo .
His research interests mainly focus on computing systems and applications, including quantum-based systems, quantum-classical co-optimizations, quantum hardware-software co-design, quantum learning systems, cloud virtualization, resource management and system visualization.
His research has been supported by National Science Foundation, Google, NVIDIA, Microsoft and etc. A list of publications can be found on his Google Scholar
page.
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Jul 17, 2024 | Two papers accepted to IEEE Quantum Week 2024 (QCE’24), (1) Scalable quantum circuit cutting (up to 2000x cost reduction when compared with IBM Qiskit Circuit Knitting Toolbox, Arxiv link); (2) Benchmarking Optimizers for Qumode State Preparation (Arxiv link); |
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Mar 07, 2024 | Dr. Mao has been selected as a 2024 Google Cloud Research Innovator , the fourth cohort. |
Feb 28, 2024 | Our project on Quantum Data Science and Resilient Quantum Learning System was funded by National Science Foundation (NSF Link). |
Feb 14, 2024 | Our paper A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity was accepted by IEEE Transactions on Quantum Engineering (TQE). |
Dec 28, 2023 | Our paper Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain was accepted by ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). |