Xiaolong Ma

Xiaolong Ma is an assistant professor in the School of Electrical, Computing, and Software Engineering at the University of Arizona. He received his PhD in computer engineering at Northeastern University in 2022. Prior to joining the U of A faculty, he was an assistant professor in the Department of Electrical and Computer Engineering at Clemson University.

Ma's research develops scalable, efficient and trustworthy artificial intelligence, with a particular emphasis on computer vision and large language models. One major direction of his work develops learning algorithms, optimization methods and theoretical foundations that enable machine learning systems to operate effectively under computational, communication and data constraints. A second research direction centers on trustworthy AI, developing privacy-preserving, safe and controllable learning methods for generative models. His research has applications spanning edge and mobile computing, cybersecurity, autonomous systems, wireless communications and networking and intelligent manufacturing.

His research is regularly published in top-tier conferences, including NeurIPS, ICML, CVPR, ICLR, IEEE S&P (Oakland), ICCV, ECCV, AAAI, IJCAI, ASPLOS, ISCA, MICRO and DAC, as well as leading journals such as IEEE TPAMI, TNNLS and CACM. His 2021 paper was selected as the Contributed Article in CACM. He has received multiple honors, including the Best Paper Award at ICLR HAET 2021 and Best Paper Nominations at SenSys 2024 and ISQED 2018. Several of his publications have been recognized as spotlight or highlight papers at NeurIPS and CVPR. His current research is supported by the National Science Foundation (NSF) and NASA. He is a recipient of the NSF CAREER Award.

Degrees

• PhD Computer Engineering, Northeastern University, 2022
• MS Electrical and Computer Engineering, Syracuse University, 2016
• BE Communication Engineering, Yanshan University, 2014

Teaching Interests

Research Interests