Foundation Models for Biomedical Image Segmentation: A Survey

no code implementations • 15 Jan 2024 • Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaria-Pang, Hoifung Poon

This transformative technology, originally developed for general-purpose computer vision, has found rapid application in medical image processing.

Image Segmentation Semantic Segmentation +1

Automatic Calibration and Error Correction for Generative Large Language Models via Pareto Optimal Self-Supervision

no code implementations • 28 Jun 2023 • Theodore Zhao, Mu Wei, J. Samuel Preston, Hoifung Poon

Generative Large language models (LLMs) have demonstrated remarkable capabilities for a wide range of applications, but reducing ungrounded or erroneous responses remains a major growth area.

Relation Extraction

Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning

no code implementations • 23 May 2021 • Tim Leung, Theodore Zhao

We present the method of complementary ensemble empirical mode decomposition (CEEMD) and Hilbert-Huang transform (HHT) for analyzing nonstationary financial time series.

BIG-bench Machine Learning Time Series +1

Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices

no code implementations • 17 May 2021 • Tim Leung, Theodore Zhao

We study the price dynamics of cryptocurrencies using adaptive complementary ensemble empirical mode decomposition (ACE-EMD) and Hilbert spectral analysis.

Time Series Time Series Analysis