Ji Lin
PhD Candidate
Cambridge, England, United Kingdom
Summary
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RockstarJi Lin is a research scientist with nine years of experience who recently joined Meta Superintelligence Labs after serving as a Member of Technical Staff at OpenAI, where he worked on multimodal systems, reasoning, and synthetic data. He earned a PhD in EECS at MIT and brings a strong computer vision pedigree—he contributed to the influential ICCV 2019 Temporal Shift Module (TSM), adding non-local and in-place shifts, pretrained models, weight-decay fixes, and an online demo to make the work production-ready. His career includes research and internship roles at NVIDIA, Google, and Adobe, reflecting fluency across both foundational research and engineering delivery. Known for translating papers into usable models and tooling, he combines rigorous academic training with practical open-source impact.
10 years of coding experience
Github Skills (9)
pytorch10
machine-learning10
computer-vision10
video-understanding10
python9
acceleration9
faster-rcnn8
fasterrcnn8
mask-rcnn8
Programming languages (5)
Github contributions (5)
mit-han-lab/temporal-shift-module
Mar 2019 - Aug 2021
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Role in this project:
ML Engineer
ML EngineerContributions:36 commits, 5 PRs, 36 pushes in 2 years 5 months
Contributions summary:Ji contributed to the development and enhancement of the Temporal Shift Module (TSM) for efficient video understanding. They added non-local TSM models trained on Kinetics, an in-place version of the temporal shift, and pretrained models for Kinetics and Sth-Sth datasets. Furthermore, the user fixed weight decay issues and added an online demo for the TSM model. Their work primarily focused on improving model performance and providing practical tools for video analysis.
nvidia-jetson-nanopytorchiccviccv-2019shift
mit-han-lab/mcunet
Jun 2022 - Dec 2022
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Contributions:36 commits, 4 PRs, 13 pushes in 6 months
pytorchmemorypatchneurips-2020neurips-2021
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