الباحثون

Pingzhi Li

المنشورات 2

نسخة أولية وصول مفتوح

Training and Scaling Compute-Optimal Physiological Waveform Foundation Models

Pingzhi Li, Jie Peng, Shuqing Luo وآخرون · 2026

We investigate the scaling laws and compute-optimal training of physiological waveform foundation models (FMs). We train Aether, a family of over one hundred FMs ranging from 20M to 2.1B parameters, on up to 36.3M hours of physiological waveforms. We construct eight clinical prediction tasks from MIMIC-III and evaluate …

نسخة أولية وصول مفتوح

Test-Time Unlearning via Sparse Autoencoder

Pingzhi Li, Jinhao Duan, Vaishnav Tadiparthi وآخرون · 2026

Machine unlearning aims to remove specific knowledge from a trained large language model (LLM) without retraining from scratch. Existing methods modify model weights via gradient ascent and its advances. While effective on certain benchmarks, these weight-based approaches exhibit a sharp forget-utility trade-off, where …

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