Tianlong Chen Selected for IBM Fellowship
IBM recently announced the awardees of this year’s IBM Ph.D. Fellowship Program. WNCG student Tianlong Chen was among only 16 students selected worldwide for 2021.
According to IBM, the Fellowship Awards Program is “intensely competitive.” Awardees are exceptional Ph.D. students conducting research in promising and disruptive technologies, particularly: Hybrid Cloud; Quantum Computing / Quantum Systems; Artificial Intelligence; Cloud / Open Source Technologies; Security / Cyber Security; Data Science; and Systems.
The program considers candidates’ overall potential for research excellence, the alignment of candidate research with IBM’s technical interests, and candidate publications and academic endorsements.
Chen’s research focuses on building an accurate, robust, safe, and efficient machine learning system that can be reliably deployed in diverse real-world scenarios. He has published almost 30 papers at selective A.I. conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
At WNCG, Chen is a member of the Visual Informatics Group at the University of Texas at Austin (VITA) and is advised by Prof. Atlas Wang. His recent work is on extreme sparse neural networks with undamaged trainability, expressivity, and transferability.
Chen describes being selected for the fellowship as a tremendous honor.
“I’m deeply humbled to have received this award,” Chen said. “I want to express my sincerest gratitude to the amazing support from my advisor, the department and college, my fellow colleagues in the VITA group, and all research collaborators.”
The 2021 IBM Ph.D. Fellowship begins in the fall semester of 2021 and will support the recipients for two academic years.