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HOME/PEOPLE/NIE LIN
// PERSON

Nie Lin

AT UNIVERSITY OF TOKYOMENTIONS 4LAST SEEN AUGUST 4, 2026
// BIO

Nie Lin is a first-year PhD student in the Computer Vision Group at the Institute of Industrial Science, University of Tokyo, supervised by Professor Yoichi Sato. He is the first author of SiMHand, a similar-hand mining approach for large-scale 3D hand pose pre-training published at ICLR 2025, and the SiMDex framework for selective data curation in vision-language-action model training. He completed his master's degree at the University of Tokyo in 2025 and holds a bachelor's degree in software engineering. He has held research intern positions at Microsoft Research Asia and Sony R&D.

// RECENT MENTIONS
// SIGNALS
4 SIGNALS
01
product·arXiv Physical AI·AUGUST 4, 2026

SiMDex uses only ~1.49M mined samples (<5% of the pool) yet improves the overall success rate from 47.7% to 61.1%

Source
02
mention·arXiv Physical AI·AUGUST 4, 2026

The paper's central finding is that *which* human video data you feed a VLA matters more than *how much*. This directly challenges the prevailing 'just scale data' philosophy in robotics.

Source
03
product·arXiv Physical AI·AUGUST 4, 2026

His lab has produced multiple related works including SiMHand (hand pose pre-training)

Source
04
hire·arXiv Physical AI·AUGUST 4, 2026

First author who developed the SiMDex framework. Also authored SiMHand (ICLR 2025), a similar mining approach for 3D hand pose pre-training.

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.