Publications: Multiple papers accepted in NeurIPS, IEEE TMC, IROS, ICLR, IEEE Internet of Things Journal, ICASSP, and IEEE Sensor Array and Multichannel Signal Processing (SAM). Book editor: 'Generative AI in Wireless Communication' (published by Elsevier). Project funding: NSF CISE-CNS grant support.
Research Experience
Was a postdoctoral researcher at Rensselaer Polytechnic Institute (RPI), focusing on theoretical and algorithmic foundations of deep learning. Currently, an Assistant Professor in the Department of Data Science at New Jersey Institute of Technology (NJIT).
Education
Received a Bachelor's degree in Electrical Engineering from the University of Science and Technology of China (USTC) in 2016; Obtained a Ph.D. from the Department of Electrical, Computer, and Systems Engineering (ECSE) at Rensselaer Polytechnic Institute (RPI) in 2021, supervised by Prof. Meng Wang.
Background
Research interests: deep learning, optimization, data science, and signal processing, with a particular emphasis on the design of machine learning algorithms and the development of efficient and trustworthy AI. Professional field: Data Science.
Miscellany
Looking for self-motivated students (PhD with RA/TA support, Masters, undergraduates) interested in data science, machine/deep learning, and signal processing.