Published 'UPSCALE: Unconstrained Channel Pruning' at ICML 2023.
Published 'Visual Transformers: Where do Transformers Really Belong in Vision Models?' at ICCV 2021.
Published 'FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function' at CVPR 2021.
Published 'NBDT: Neural-Backed Decision Trees' at ICLR 2021, with blog, code, and webpage resources.
Published 'FBNetV2: Differentiable Neural Architecture Search for Spatial, Channel Dimensions' at CVPR 2020.
Published 'Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions' at CVPR 2018.
Published 'SqueezeSeg: Real-Time Segmentation from 3D LiDAR Point Clouds' at ICRA 2018.
Awarded NSF GRFP Fellowship in 2018.
Awarded UC Berkeley Undergraduate Research Fellowship in 2017.
Served as co-instructor or head TA for courses including 'Principles and Techniques of Data Science', 'Machine Learning', and 'Discrete Mathematics and Probability Theory'.