Lightning Talks by the 2021 Amazon Fellows
February 22, 2022
In 2021 Amazon and UCLA collaborated to establish the Science Hub for Humanity and Artificial Intelligence. In December 2021, the Science Hub advisory group selected twelve Amazon Fellows for 2021, all Ph.D. students from the UCLA Samueli School of Engineering.
Capturing our imaginations during a round of lightning talks, they presented their research, which spans machine learning, natural language processing, robotics, and beyond. Each fellow wrapped up their presentation with a brief Q&A session.
2021 Amazon Fellows’ Individual Slide Decks
Antonious M. Girgis
Advisor: Suhas Diggavi
Communication-Efficient and Privacy-Preserving Machine Learning
Zijie Huang
Advisors: Yizhou Sun & Prof. Wei Wang
Deep Learning for Reasoning Over Graph Structured Dynamic Data
Yifan Qiao
Advisors: Harry Xu and Miryung Kim
Democratize Large-scale ML Training with Full-stack Systems
Liunian Harold Li
Advisor: Kai-Wei Chang
Learning Vision-Language Alignment from Natural Data
Michael Kleinman
Advisor: Johnathan Kao
Usable Information and Evolution of Optimal Representations During Training
Akash Deep Singh
Advisor: Mani Srivastava
Deep Scene Understanding Using RF and its Fusion with other Modalities
Weitong Zhang
Advisor: Quanquan Gu
Towards Explainable and Accountable Reinforcement Learning Systems
Huajing Zhao
Advisor: Veronica Santos
Human-centered Approaches to Semiautonomous Robots for Manipulation
Tao Meng
Advisor: Kai-Wei Chang
Constrained Inference for Bridging the Distributional Gap in Natural Language Processing
Xiangning Chen
Advisor: Cho-Jui Hsieh
Automated Machine Learning
Ziniu Hu
Advisor: Yizhou Sun
Differentiable Symbolic Reasoning with Graph Neural Networks
