Dezhi Hong
Dezhi Hong has 1 paper in the ChatPPG research atlas (2024), linked to 1 model and 6 co-authors in the atlas. Main topics: IMU, accelerometer, NeurIPS, zero-shot, physics-simulation, LLM-alignment.
Papers
- UniMTS: Unified Pre-training for Motion Time Series2024 · arXiv preprint
UniMTS is a unified pretraining method for motion time series from phones and smartwatches that generalizes across device location, orientation and activity. On 18 benchmarks it beat the best baselines by 340% zero-shot, 16.3% few-shot and 9.2% full-shot.
- Published: ArXiv preprint, 2024
- Result: Their model shows exceptional generalizability across 18 motion time series classification benchmark datasets, outperforming the best baselines by 340% in the zero-shot setting, 16.3% in the few-shot setting, and 9.2% in the full-shot setting.
- Venue: arXiv preprint