Jierui Lin

I am currently a machine learning engineer at Apple SPG, where I work on computer vision, machine learning and robotics.

I obtained my Master's degree in Computer Science from UT Austin, advised by Prof. Philipp Krähenbühl and Prof. Yuke Zhu. Prior to that, I obtained my Bachelor's degree in Computer Science and Applied Mathematics from UC Berkeley, where I'm fortunate to work with Prof. Trevor Darrell and Prof. Jitendra Malik.

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TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
arXiv Preprint, 2023  

3D Shape Reconstruction from Free-Hand Sketches
Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
ECCV Workshop, 2022  
arXiv / slides / code

Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
ICML, 2022  
arXiv / website / code

PointDrive: A Point-based Self-driving Policy
Jierui Lin
Master's Thesis, 2022  

Keyframe-Focused Visual Imitation Learning
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
ICML, 2021  
arXiv / website / code

Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
NeurIPS, 2020  
arXiv / website / code

Honors & Awards
Highest Honor in Applied Mathematics from UC Berkeley
Honor in Computer Science from UC Berkeley
Reviewer for NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV
Teaching Assistant for CS 170 (Algorithms), CS 188 (AI) at UC Berkeley, CS 342 (Neural Networks), CS 343 (AI) at UT Austin

Design and source code from Jon Barron's website.