Scholar

Feng (Jeff) Liang

Google Scholar ID: ecTFCUMAAAAJ

Meta AI, University of Texas at Austin

Generative AIVision-LanguageEfficient Deep LearningPersonalized AI

Citations & Impact

All-time

Citations

2,357

H-index

i10-index

Publications

Co-authors

Contact

Resume

Academic Achievements

Papers published: CVPR 2025 (Movie Weaver), ICLR 2025 (StreamV2V), CVPR 2024 (FlowVid and Fairy), CVPR 2023 (Open-Vocabulary Segmentation), etc.; Awards: 2024 MLCommons ML and Systems Rising Stars, Best Poster Award at AAAI Edge Intelligence Workshop 2024

Research Experience

Research Scientist at Meta AI; Interned at Meta Reality Labs, working with Dr. Bichen Wu; Received UT Austin Engineering Fellowship

Education

PhD: University of Texas at Austin, Advisor: Prof. Diana Marculescu; Master's: Tsinghua University; Bachelor's: Huazhong University of Science and Technology

Background

Research interests include efficient AI, personalized AI, and AI for creativity. Aims to build efficient, personalized, and creative AI for everyone.

Miscellany